ALBERT

Description: The position of Xenacoelomorpha in the tree of life remains a major unresolved question in the study of deep animal relationships. Xenacoelomorpha, comprising Acoela, Nemertodermatida, and Xenoturbella, are bilaterally symmetrical marine worms that lack several features common to most other bilaterians, for example an anus, nephridia, and a circulatory system. Two conflicting hypotheses are under debate: Xenacoelomorpha is the sister group to all remaining Bilateria (= Nephrozoa, namely protostomes and deuterostomes) or is a clade inside Deuterostomia. Thus, determining the phylogenetic position of this clade is pivotal for understanding the early evolution of bilaterian features, or as a case of drastic secondary loss of complexity. Here we show robust phylogenomic support for Xenacoelomorpha as the sister taxon of Nephrozoa. Our phylogenetic analyses, based on 11 novel xenacoelomorph transcriptomes and using different models of evolution under maximum likelihood and Bayesian inference analyses, strongly corroborate this result. Rigorous testing of 25 experimental data sets designed to exclude data partitions and taxa potentially prone to reconstruction biases indicates that long-branch attraction, saturation, and missing data do not influence these results. The sister group relationship between Nephrozoa and Xenacoelomorpha supported by our phylogenomic analyses implies that the last common ancestor of bilaterians was probably a benthic, ciliated acoelomate worm with a single opening into an epithelial gut, and that excretory organs, coelomic cavities, and nerve cords evolved after xenacoelomorphs separated from the stem lineage of Nephrozoa.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cannon, Johanna Taylor -- Vellutini, Bruno Cossermelli -- Smith, Julian 3rd -- Ronquist, Fredrik -- Jondelius, Ulf -- Hejnol, Andreas -- England -- Nature. 2016 Feb 4;530(7588):89-93. doi: 10.1038/nature16520.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Naturhistoriska Riksmuseet, PO Box 50007, SE-104 05 Stockholm, Sweden. ; Sars International Centre for Marine Molecular Biology, University of Bergen, Thormohlensgate 55, 5008 Bergen, Norway. ; Department of Biology, Winthrop University, 701 Oakland Avenue, Rock Hill, South Carolina 29733, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26842059" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bender, Eric -- England -- Nature. 2016 May 11;533(7602):S62-4. doi: 10.1038/533S62a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27167394" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Schiermeier, Quirin -- Abbott, Alison -- England -- Nature. 2016 Apr 7;532(7597):18. doi: 10.1038/nature.2016.19672.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27078546" target="_blank"〉PubMed〈/a〉

Description: Animals are grouped into ~35 'phyla' based upon the notion of distinct body plans. Morphological and molecular analyses have revealed that a stage in the middle of development--known as the phylotypic period--is conserved among species within some phyla. Although these analyses provide evidence for their existence, phyla have also been criticized as lacking an objective definition, and consequently based on arbitrary groupings of animals. Here we compare the developmental transcriptomes of ten species, each annotated to a different phylum, with a wide range of life histories and embryonic forms. We find that in all ten species, development comprises the coupling of early and late phases of conserved gene expression. These phases are linked by a divergent 'mid-developmental transition' that uses species-specific suites of signalling pathways and transcription factors. This mid-developmental transition overlaps with the phylotypic period that has been defined previously for three of the ten phyla, suggesting that transcriptional circuits and signalling mechanisms active during this transition are crucial for defining the phyletic body plan and that the mid-developmental transition may be used to define phylotypic periods in other phyla. Placing these observations alongside the reported conservation of mid-development within phyla, we propose that a phylum may be defined as a collection of species whose gene expression at the mid-developmental transition is both highly conserved among them, yet divergent relative to other species.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4817236/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4817236/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Levin, Michal -- Anavy, Leon -- Cole, Alison G -- Winter, Eitan -- Mostov, Natalia -- Khair, Sally -- Senderovich, Naftalie -- Kovalev, Ekaterina -- Silver, David H -- Feder, Martin -- Fernandez-Valverde, Selene L -- Nakanishi, Nagayasu -- Simmons, David -- Simakov, Oleg -- Larsson, Tomas -- Liu, Shang-Yun -- Jerafi-Vider, Ayelet -- Yaniv, Karina -- Ryan, Joseph F -- Martindale, Mark Q -- Rink, Jochen C -- Arendt, Detlev -- Degnan, Sandie M -- Degnan, Bernard M -- Hashimshony, Tamar -- Yanai, Itai -- 310927/European Research Council/International -- R01 GM093116/GM/NIGMS NIH HHS/ -- England -- Nature. 2016 Mar 31;531(7596):637-41. doi: 10.1038/nature16994. Epub 2016 Feb 17.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, Technion - Israel Institute of Technion, Haifa 32000, Israel. ; School of Biological Sciences, University of Queensland, Brisbane, Queensland, Australia. ; Whitney Laboratory for Marine Bioscience, University of Florida, 9505 N Ocean Shore Blvd, St Augustine, Florida 32080-8610 USA. ; Developmental Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany. ; Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstrasse 108, 01307 Dresden, Germany. ; Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26886793" target="_blank"〉PubMed〈/a〉

Description: Lymphoid tissue is a key reservoir established by HIV-1 during acute infection. It is a site associated with viral production, storage of viral particles in immune complexes, and viral persistence. Although combinations of antiretroviral drugs usually suppress viral replication and reduce viral RNA to undetectable levels in blood, it is unclear whether treatment fully suppresses viral replication in lymphoid tissue reservoirs. Here we show that virus evolution and trafficking between tissue compartments continues in patients with undetectable levels of virus in their bloodstream. We present a spatial and dynamic model of persistent viral replication and spread that indicates why the development of drug resistance is not a foregone conclusion under conditions in which drug concentrations are insufficient to completely block virus replication. These data provide new insights into the evolutionary and infection dynamics of the virus population within the host, revealing that HIV-1 can continue to replicate and replenish the viral reservoir despite potent antiretroviral therapy.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lorenzo-Redondo, Ramon -- Fryer, Helen R -- Bedford, Trevor -- Kim, Eun-Young -- Archer, John -- Kosakovsky Pond, Sergei L -- Chung, Yoon-Seok -- Penugonda, Sudhir -- Chipman, Jeffrey G -- Fletcher, Courtney V -- Schacker, Timothy W -- Malim, Michael H -- Rambaut, Andrew -- Haase, Ashley T -- McLean, Angela R -- Wolinsky, Steven M -- AI1074340/AI/NIAID NIH HHS/ -- DA033773/DA/NIDA NIH HHS/ -- G1000196/Medical Research Council/United Kingdom -- GM110749/GM/NIGMS NIH HHS/ -- R01 DA033773/DA/NIDA NIH HHS/ -- Wellcome Trust/United Kingdom -- England -- Nature. 2016 Feb 4;530(7588):51-6. doi: 10.1038/nature16933. Epub 2016 Jan 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60011, USA. ; Institute for Emerging Infections, Department of Zoology, University of Oxford, Oxford, OX1 3PS, UK. ; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. ; Centro de Investigacao em Biodiversidade e Recursos Geneticos Universidade do Porto, 4485-661 Vairao, Portugal. ; Department of Medicine, University of California, San Diego, California 92093, USA. ; Division of AIDS, Center for Immunology and Pathology, Korea National Institutes of Health, Chungju-si, Chungcheongbuk-do, 28159, South Korea. ; Department of Surgery, University of Minnesota, Minneapolis, Minnesota 55455, USA. ; Antiviral Pharmacology Laboratory, University of Nebraska Medical Center, College of Pharmacy, Omaha, Nebraska 68198, USA. ; Division of Infectious Diseases, University of Minnesota, Minneapolis, Minnesota 55455, USA. ; Department of Infectious Diseases, King's College London, Guy's Hospital, London SE21 7DN, UK. ; Centre for Immunology, Infection and Evolution, University of Edinburgh, Edinburgh EH9 3FL, UK. ; Department of Microbiology, University of Minnesota, Minneapolis, Minnesota 55455, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26814962" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Baker, Monya -- England -- Nature. 2016 Mar 10;531(7593):151. doi: 10.1038/nature.2016.19503.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26961635" target="_blank"〉PubMed〈/a〉

Description: The origin of eukaryotes stands as a major conundrum in biology. Current evidence indicates that the last eukaryotic common ancestor already possessed many eukaryotic hallmarks, including a complex subcellular organization. In addition, the lack of evolutionary intermediates challenges the elucidation of the relative order of emergence of eukaryotic traits. Mitochondria are ubiquitous organelles derived from an alphaproteobacterial endosymbiont. Different hypotheses disagree on whether mitochondria were acquired early or late during eukaryogenesis. Similarly, the nature and complexity of the receiving host are debated, with models ranging from a simple prokaryotic host to an already complex proto-eukaryote. Most competing scenarios can be roughly grouped into either mito-early, which consider the driving force of eukaryogenesis to be mitochondrial endosymbiosis into a simple host, or mito-late, which postulate that a significant complexity predated mitochondrial endosymbiosis. Here we provide evidence for late mitochondrial endosymbiosis. We use phylogenomics to directly test whether proto-mitochondrial proteins were acquired earlier or later than other proteins of the last eukaryotic common ancestor. We find that last eukaryotic common ancestor protein families of alphaproteobacterial ancestry and of mitochondrial localization show the shortest phylogenetic distances to their closest prokaryotic relatives, compared with proteins of different prokaryotic origin or cellular localization. Altogether, our results shed new light on a long-standing question and provide compelling support for the late acquisition of mitochondria into a host that already had a proteome of chimaeric phylogenetic origin. We argue that mitochondrial endosymbiosis was one of the ultimate steps in eukaryogenesis and that it provided the definitive selective advantage to mitochondria-bearing eukaryotes over less complex forms.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4780264/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4780264/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pittis, Alexandros A -- Gabaldon, Toni -- England -- Nature. 2016 Mar 3;531(7592):101-4. doi: 10.1038/nature16941. Epub 2016 Feb 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Carrer del Dr Aiguader, 88, 08003 Barcelona, Spain. ; Departament of Ciencies Experimentals I de La Salut, Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain. ; Institucio Catalana de Recerca i Estudis Avancats (ICREA), Passeig de Lluis Companys 23, 08010 Barcelona, Spain.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26840490" target="_blank"〉PubMed〈/a〉

Description: The p53 pro-apoptotic tumour suppressor is mutated or functionally altered in most cancers. In epithelial tumours induced by 'high-risk' mucosal human papilloma viruses, including human cervical carcinoma and a growing number of head-and-neck cancers, p53 is degraded by the viral oncoprotein E6 (ref. 2). In this process, E6 binds to a short leucine (L)-rich LxxLL consensus sequence within the cellular ubiquitin ligase E6AP. Subsequently, the E6/E6AP heterodimer recruits and degrades p53 (ref. 4). Neither E6 nor E6AP are separately able to recruit p53 (refs 3, 5), and the precise mode of assembly of E6, E6AP and p53 is unknown. Here we solve the crystal structure of a ternary complex comprising full-length human papilloma virus type 16 (HPV-16) E6, the LxxLL motif of E6AP and the core domain of p53. The LxxLL motif of E6AP renders the conformation of E6 competent for interaction with p53 by structuring a p53-binding cleft on E6. Mutagenesis of critical positions at the E6-p53 interface disrupts p53 degradation. The E6-binding site of p53 is distal from previously described DNA- and protein-binding surfaces of the core domain. This suggests that, in principle, E6 may avoid competition with cellular factors by targeting both free and bound p53 molecules. The E6/E6AP/p53 complex represents a prototype of viral hijacking of both the ubiquitin-mediated protein degradation pathway and the p53 tumour suppressor pathway. The present structure provides a framework for the design of inhibitory therapeutic strategies against oncogenesis mediated by human papilloma virus.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Martinez-Zapien, Denise -- Ruiz, Francesc Xavier -- Poirson, Juline -- Mitschler, Andre -- Ramirez, Juan -- Forster, Anne -- Cousido-Siah, Alexandra -- Masson, Murielle -- Vande Pol, Scott -- Podjarny, Alberto -- Trave, Gilles -- Zanier, Katia -- R01CA134737/CA/NCI NIH HHS/ -- England -- Nature. 2016 Jan 28;529(7587):541-5. doi: 10.1038/nature16481. Epub 2016 Jan 20.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Equipe labellisee Ligue, Biotechnologie et signalisation cellulaire UMR 7242, Ecole Superieure de Biotechnologie de Strasbourg, Boulevard Sebastien Brant, BP 10413, F-67412 Illkirch, France. ; Institut de Genetique et de Biologie Moleculaire et Cellulaire (IGBMC)/INSERM U964/CNRS UMR 7104/Universite de Strasbourg, 1 rue Laurent Fries, BP 10142, F-67404 Illkirch, France. ; Department of Pathology, University of Virginia, PO Box 800904, Charlottesville, Virginia 22908-0904, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26789255" target="_blank"〉PubMed〈/a〉

Description: Microbial viruses can control host abundances via density-dependent lytic predator-prey dynamics. Less clear is how temperate viruses, which coexist and replicate with their host, influence microbial communities. Here we show that virus-like particles are relatively less abundant at high host densities. This suggests suppressed lysis where established models predict lytic dynamics are favoured. Meta-analysis of published viral and microbial densities showed that this trend was widespread in diverse ecosystems ranging from soil to freshwater to human lungs. Experimental manipulations showed viral densities more consistent with temperate than lytic life cycles at increasing microbial abundance. An analysis of 24 coral reef viromes showed a relative increase in the abundance of hallmark genes encoded by temperate viruses with increased microbial abundance. Based on these four lines of evidence, we propose the Piggyback-the-Winner model wherein temperate dynamics become increasingly important in ecosystems with high microbial densities; thus 'more microbes, fewer viruses'.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Knowles, B -- Silveira, C B -- Bailey, B A -- Barott, K -- Cantu, V A -- Cobian-Guemes, A G -- Coutinho, F H -- Dinsdale, E A -- Felts, B -- Furby, K A -- George, E E -- Green, K T -- Gregoracci, G B -- Haas, A F -- Haggerty, J M -- Hester, E R -- Hisakawa, N -- Kelly, L W -- Lim, Y W -- Little, M -- Luque, A -- McDole-Somera, T -- McNair, K -- de Oliveira, L S -- Quistad, S D -- Robinett, N L -- Sala, E -- Salamon, P -- Sanchez, S E -- Sandin, S -- Silva, G G Z -- Smith, J -- Sullivan, C -- Thompson, C -- Vermeij, M J A -- Youle, M -- Young, C -- Zgliczynski, B -- Brainard, R -- Edwards, R A -- Nulton, J -- Thompson, F -- Rohwer, F -- England -- Nature. 2016 Mar 24;531(7595):466-70. doi: 10.1038/nature17193. Epub 2016 Mar 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, San Diego State University, 5500 Campanile Drive, San Diego, California 92182, USA. ; Biology Institute, Rio de Janeiro Federal University, Av. Carlos Chagas Filho 373, Rio de Janeiro, Rio de Janeiro 21941-599, Brazil. ; Department of Mathematics and Statistics, San Diego State University, 5500 Campanile Drive, San Diego, California 92182, USA. ; Hawaii Institute of Marine Biology, University of Hawaii at Manoa, 46-007 Lilipuna Road, Kaneohe, Hawaii 96744, USA. ; Computational Science Research Center, San Diego State University, 5500 Campanile Drive, San Diego, California 92182, USA. ; Rainbow Rock, Ocean View, Hawaii 96737, USA. ; Radboud University Medical Centre, Radboud Institute for Molecular Life Sciences, Centre for Molecular and Biomolecular Informatics, 6525HP Nijmegen, The Netherlands. ; Viral Information Institute, San Diego State University, 5500 Campanile Drive, San Diego, California 92182, USA. ; Scripps Institution of Oceanography, 8622 Kennel Way, La Jolla, California 92037, USA. ; Department of Biology, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. ; Marine Sciences Department, Sao Paulo Federal University - Baixada Santista, Av. Alm. Saldanha da Gama, 89, Santos, Sao Paulo 11030-400, Brazil. ; National Geographic Society, 1145 17th St NW, Washington D.C. 20036, USA. ; CARMABI Foundation, Piscaderabaai z/n, Willemstad, Curacao, Netherlands Antilles. ; Aquatic Microbiology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, 1098XH Amsterdam, The Netherlands.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26982729" target="_blank"〉PubMed〈/a〉

Description: The discovery of four new Xenoturbella species from deep waters of the eastern Pacific Ocean is reported here. The genus and two nominal species were described from the west coast of Sweden, but their taxonomic placement remains unstable. Limited evidence placed Xenoturbella with molluscs, but the tissues can be contaminated with prey. They were then considered deuterostomes. Further taxon sampling and analysis have grouped Xenoturbella with acoelomorphs (=Xenacoelomorpha) as sister to all other Bilateria (=Nephrozoa), or placed Xenacoelomorpha inside Deuterostomia with Ambulacraria (Hemichordata + Echinodermata). Here we describe four new species of Xenoturbella and reassess those hypotheses. A large species (〉20 cm long) was found at cold-water hydrocarbon seeps at 2,890 m depth in Monterey Canyon and at 1,722 m in the Gulf of California (Mexico). A second large species (~10 cm long) also occurred at 1,722 m in the Gulf of California. The third large species (~15 cm long) was found at ~3,700 m depth near a newly discovered carbonate-hosted hydrothermal vent in the Gulf of California. Finally, a small species (~2.5 cm long), found near a whale carcass at 631 m depth in Monterey Submarine Canyon (California), resembles the two nominal species from Sweden. Analysis of whole mitochondrial genomes places the three larger species as a sister clade to the smaller Atlantic and Pacific species. Phylogenomic analyses of transcriptomic sequences support placement of Xenacoelomorpha as sister to Nephrozoa or Protostomia.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rouse, Greg W -- Wilson, Nerida G -- Carvajal, Jose I -- Vrijenhoek, Robert C -- England -- Nature. 2016 Feb 4;530(7588):94-7. doi: 10.1038/nature16545.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California 92037, USA. ; Western Australian Museum, Locked Bag 49, Welshpool DC, Western Australia 6986, Australia. ; School of Animal Biology, University of Western Australia, Crawley, Western Australia 6009, Australia. ; Monterey Bay Aquarium and Research Institute, Moss Landing, California 95039, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26842060" target="_blank"〉PubMed〈/a〉

Description: Primary cilia are solitary, generally non-motile, hair-like protrusions that extend from the surface of cells between cell divisions. Their antenna-like structure leads naturally to the assumption that they sense the surrounding environment, the most common hypothesis being sensation of mechanical force through calcium-permeable ion channels within the cilium. This Ca(2+)-responsive mechanosensor hypothesis for primary cilia has been invoked to explain a large range of biological responses, from control of left-right axis determination in embryonic development to adult progression of polycystic kidney disease and some cancers. Here we report the complete lack of mechanically induced calcium increases in primary cilia, in tissues upon which this hypothesis has been based. We developed a transgenic mouse, Arl13b-mCherry-GECO1.2, expressing a ratiometric genetically encoded calcium indicator in all primary cilia. We then measured responses to flow in primary cilia of cultured kidney epithelial cells, kidney thick ascending tubules, crown cells of the embryonic node, kinocilia of inner ear hair cells, and several cell lines. Cilia-specific Ca(2+) influxes were not observed in physiological or even highly supraphysiological levels of fluid flow. We conclude that mechanosensation, if it originates in primary cilia, is not via calcium signalling.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851444/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851444/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Delling, M -- Indzhykulian, A A -- Liu, X -- Li, Y -- Xie, T -- Corey, D P -- Clapham, D E -- 5R01 DC000304/DC/NIDCD NIH HHS/ -- P30-HD 18655/HD/NICHD NIH HHS/ -- R01 DC000304/DC/NIDCD NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2016 Mar 31;531(7596):656-60. doi: 10.1038/nature17426. Epub 2016 Mar 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Cardiology, Howard Hughes Medical Institute, Boston Children's Hospital, Boston, Massachusetts 02115, USA. ; Department of Neurobiology, Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Image and Data Analysis Core (IDAC), Harvard Medical School, Boston, Massachusetts 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27007841" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Palmer, Tim -- England -- Nature. 2015 Oct 1;526(7571):32-3. doi: 10.1038/526032a.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Royal Society research professor of climate physics and co-director of the Oxford Martin Programme on Modelling and Predicting Climate at the University of Oxford, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26432226" target="_blank"〉PubMed〈/a〉

Description: Oncogenic activation of BRAF fuels cancer growth by constitutively promoting RAS-independent mitogen-activated protein kinase (MAPK) pathway signalling. Accordingly, RAF inhibitors have brought substantially improved personalized treatment of metastatic melanoma. However, these targeted agents have also revealed an unexpected consequence: stimulated growth of certain cancers. Structurally diverse ATP-competitive RAF inhibitors can either inhibit or paradoxically activate the MAPK pathway, depending whether activation is by BRAF mutation or by an upstream event, such as RAS mutation or receptor tyrosine kinase activation. Here we have identified next-generation RAF inhibitors (dubbed 'paradox breakers') that suppress mutant BRAF cells without activating the MAPK pathway in cells bearing upstream activation. In cells that express the same HRAS mutation prevalent in squamous tumours from patients treated with RAF inhibitors, the first-generation RAF inhibitor vemurafenib stimulated in vitro and in vivo growth and induced expression of MAPK pathway response genes; by contrast the paradox breakers PLX7904 and PLX8394 had no effect. Paradox breakers also overcame several known mechanisms of resistance to first-generation RAF inhibitors. Dissociating MAPK pathway inhibition from paradoxical activation might yield both improved safety and more durable efficacy than first-generation RAF inhibitors, a concept currently undergoing human clinical evaluation with PLX8394.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zhang, Chao -- Spevak, Wayne -- Zhang, Ying -- Burton, Elizabeth A -- Ma, Yan -- Habets, Gaston -- Zhang, Jiazhong -- Lin, Jack -- Ewing, Todd -- Matusow, Bernice -- Tsang, Garson -- Marimuthu, Adhirai -- Cho, Hanna -- Wu, Guoxian -- Wang, Weiru -- Fong, Daniel -- Nguyen, Hoa -- Shi, Songyuan -- Womack, Patrick -- Nespi, Marika -- Shellooe, Rafe -- Carias, Heidi -- Powell, Ben -- Light, Emily -- Sanftner, Laura -- Walters, Jason -- Tsai, James -- West, Brian L -- Visor, Gary -- Rezaei, Hamid -- Lin, Paul S -- Nolop, Keith -- Ibrahim, Prabha N -- Hirth, Peter -- Bollag, Gideon -- England -- Nature. 2015 Oct 22;526(7574):583-6. doi: 10.1038/nature14982. Epub 2015 Oct 14.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Plexxikon Inc., 91 Bolivar Drive, Berkeley, California 94710, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26466569" target="_blank"〉PubMed〈/a〉

Description: G-protein-coupled receptors (GPCRs) constitute the largest family of membrane receptors in eukaryotes. Crystal structures have provided insight into GPCR interactions with ligands and G proteins, but our understanding of the conformational dynamics of activation is incomplete. Metabotropic glutamate receptors (mGluRs) are dimeric class C GPCRs that modulate neuronal excitability, synaptic plasticity, and serve as drug targets for neurological disorders. A 'clamshell' ligand-binding domain (LBD), which contains the ligand-binding site, is coupled to the transmembrane domain via a cysteine-rich domain, and LBD closure seems to be the first step in activation. Crystal structures of isolated mGluR LBD dimers led to the suggestion that activation also involves a reorientation of the dimer interface from a 'relaxed' to an 'active' state, but the relationship between ligand binding, LBD closure and dimer interface rearrangement in activation remains unclear. Here we use single-molecule fluorescence resonance energy transfer to probe the activation mechanism of full-length mammalian group II mGluRs. We show that the LBDs interconvert between three conformations: resting, activated and a short-lived intermediate state. Orthosteric agonists induce transitions between these conformational states, with efficacy determined by occupancy of the active conformation. Unlike mGluR2, mGluR3 displays basal dynamics, which are Ca(2+)-dependent and lead to basal protein activation. Our results support a general mechanism for the activation of mGluRs in which agonist binding induces closure of the LBDs, followed by dimer interface reorientation. Our experimental strategy should be widely applicable to study conformational dynamics in GPCRs and other membrane proteins.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4597782/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4597782/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Vafabakhsh, Reza -- Levitz, Joshua -- Isacoff, Ehud Y -- 2PN2EY018241/EY/NEI NIH HHS/ -- PN2 EY018241/EY/NEI NIH HHS/ -- England -- Nature. 2015 Aug 27;524(7566):497-501. doi: 10.1038/nature14679. Epub 2015 Aug 10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular and Cell Biology, University of California, Berkeley, California 94720, USA. ; Helen Wills Neuroscience Institute, University of California, Berkeley, California 94720, USA. ; Physical Bioscience Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26258295" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gravitz, Lauren -- England -- Nature. 2015 May 21;521(7552):S60-1. doi: 10.1038/521S60a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25992675" target="_blank"〉PubMed〈/a〉

Description: It has been more than 30 years since the publication of the new head hypothesis, which proposed that the vertebrate head is an evolutionary novelty resulting from the emergence of neural crest and cranial placodes. Neural crest generates the skull and associated connective tissues, whereas placodes produce sensory organs. However, neither crest nor placodes produce head muscles, which are a crucial component of the complex vertebrate head. We discuss emerging evidence for a surprising link between the evolution of head muscles and chambered hearts - both systems arise from a common pool of mesoderm progenitor cells within the cardiopharyngeal field of vertebrate embryos. We consider the origin of this field in non-vertebrate chordates and its evolution in vertebrates.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Diogo, Rui -- Kelly, Robert G -- Christiaen, Lionel -- Levine, Michael -- Ziermann, Janine M -- Molnar, Julia L -- Noden, Drew M -- Tzahor, Eldad -- NS076542/NS/NINDS NIH HHS/ -- R01 NS076542/NS/NINDS NIH HHS/ -- R01GM096032/GM/NIGMS NIH HHS/ -- R01HL108643/HL/NHLBI NIH HHS/ -- England -- Nature. 2015 Apr 23;520(7548):466-73. doi: 10.1038/nature14435.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Anatomy, Howard University College of Medicine, Washington DC 20059, USA. ; Aix Marseille Universite, Centre National de la Recherche Scientifique, Institut de Biologie du Developpement de Marseille UMR 7288, 13288 Marseille, France. ; Center for Developmental Genetics, Department of Biology, New York University, New York 10003, USA. ; Department of Molecular and Cell Biology, University of California at Berkeley, California 94720, USA. ; Department of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, New York 14853, USA. ; Department of Biological Regulation, Weizmann Institute of Science, Rehovot 76100, Israel.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25903628" target="_blank"〉PubMed〈/a〉

Description: Synaptotagmin-1 and neuronal SNARE proteins have central roles in evoked synchronous neurotransmitter release; however, it is unknown how they cooperate to trigger synaptic vesicle fusion. Here we report atomic-resolution crystal structures of Ca(2+)- and Mg(2+)-bound complexes between synaptotagmin-1 and the neuronal SNARE complex, one of which was determined with diffraction data from an X-ray free-electron laser, leading to an atomic-resolution structure with accurate rotamer assignments for many side chains. The structures reveal several interfaces, including a large, specific, Ca(2+)-independent and conserved interface. Tests of this interface by mutagenesis suggest that it is essential for Ca(2+)-triggered neurotransmitter release in mouse hippocampal neuronal synapses and for Ca(2+)-triggered vesicle fusion in a reconstituted system. We propose that this interface forms before Ca(2+) triggering, moves en bloc as Ca(2+) influx promotes the interactions between synaptotagmin-1 and the plasma membrane, and consequently remodels the membrane to promote fusion, possibly in conjunction with other interfaces.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4607316/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4607316/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zhou, Qiangjun -- Lai, Ying -- Bacaj, Taulant -- Zhao, Minglei -- Lyubimov, Artem Y -- Uervirojnangkoorn, Monarin -- Zeldin, Oliver B -- Brewster, Aaron S -- Sauter, Nicholas K -- Cohen, Aina E -- Soltis, S Michael -- Alonso-Mori, Roberto -- Chollet, Matthieu -- Lemke, Henrik T -- Pfuetzner, Richard A -- Choi, Ucheor B -- Weis, William I -- Diao, Jiajie -- Sudhof, Thomas C -- Brunger, Axel T -- GM095887/GM/NIGMS NIH HHS/ -- GM102520/GM/NIGMS NIH HHS/ -- MH086403/MH/NIMH NIH HHS/ -- P41 GM103403/GM/NIGMS NIH HHS/ -- P41GM103393/GM/NIGMS NIH HHS/ -- P50 MH086403/MH/NIMH NIH HHS/ -- R01 GM077071/GM/NIGMS NIH HHS/ -- R01 GM095887/GM/NIGMS NIH HHS/ -- R01 GM102520/GM/NIGMS NIH HHS/ -- R37 MH063105/MH/NIMH NIH HHS/ -- R37MH63105/MH/NIMH NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2015 Sep 3;525(7567):62-7. doi: 10.1038/nature14975. Epub 2015 Aug 17.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular and Cellular Physiology, Howard Hughes Medical Institute, Stanford University, Stanford, California 94305, USA. ; Departments of Neurology and Neurological Sciences, Photon Science, and Structural Biology, Stanford University, Stanford, California 94305, USA. ; Physical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA. ; SLAC National Accelerator Laboratory, Stanford, California 94305, USA. ; Departments of Structural Biology, Molecular and Cellular Physiology, and Photon Science, Stanford University, Stanford, California 94305, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26280336" target="_blank"〉PubMed〈/a〉

Description: Stochastic processes in cells are associated with fluctuations in mRNA, protein production and degradation, noisy partition of cellular components at division, and other cell processes. Variability within a clonal population of cells originates from such stochastic processes, which may be amplified or reduced by deterministic factors. Cell-to-cell variability, such as that seen in the heterogeneous response of bacteria to antibiotics, or of cancer cells to treatment, is understood as the inevitable consequence of stochasticity. Variability in cell-cycle duration was observed long ago; however, its sources are still unknown. A central question is whether the variance of the observed distribution originates from stochastic processes, or whether it arises mostly from a deterministic process that only appears to be random. A surprising feature of cell-cycle-duration inheritance is that it seems to be lost within one generation but to be still present in the next generation, generating poor correlation between mother and daughter cells but high correlation between cousin cells. This observation suggests the existence of underlying deterministic factors that determine the main part of cell-to-cell variability. We developed an experimental system that precisely measures the cell-cycle duration of thousands of mammalian cells along several generations and a mathematical framework that allows discrimination between stochastic and deterministic processes in lineages of cells. We show that the inter- and intra-generation correlations reveal complex inheritance of the cell-cycle duration. Finally, we build a deterministic nonlinear toy model for cell-cycle inheritance that reproduces the main features of our data. Our approach constitutes a general method to identify deterministic variability in lineages of cells or organisms, which may help to predict and, eventually, reduce cell-to-cell heterogeneity in various systems, such as cancer cells under treatment.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sandler, Oded -- Mizrahi, Sivan Pearl -- Weiss, Noga -- Agam, Oded -- Simon, Itamar -- Balaban, Nathalie Q -- England -- Nature. 2015 Mar 26;519(7544):468-71. doi: 10.1038/nature14318. Epub 2015 Mar 11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Microbiology and Molecular Genetics, IMRIC, The Hebrew University Hadassah Medical School, Jerusalem 91120, Israel. ; 1] Department of Microbiology and Molecular Genetics, IMRIC, The Hebrew University Hadassah Medical School, Jerusalem 91120, Israel [2] Racah Institute of Physics, Edmond J. Safra Campus, The Hebrew University, Jerusalem 91904, Israel. ; Racah Institute of Physics, Edmond J. Safra Campus, The Hebrew University, Jerusalem 91904, Israel.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25762143" target="_blank"〉PubMed〈/a〉

Description: Earlier spring leaf unfolding is a frequently observed response of plants to climate warming. Many deciduous tree species require chilling for dormancy release, and warming-related reductions in chilling may counteract the advance of leaf unfolding in response to warming. Empirical evidence for this, however, is limited to saplings or twigs in climate-controlled chambers. Using long-term in situ observations of leaf unfolding for seven dominant European tree species at 1,245 sites, here we show that the apparent response of leaf unfolding to climate warming (ST, expressed in days advance of leaf unfolding per degrees C warming) has significantly decreased from 1980 to 2013 in all monitored tree species. Averaged across all species and sites, ST decreased by 40% from 4.0 +/- 1.8 days degrees C(-1) during 1980-1994 to 2.3 +/- 1.6 days degrees C(-1) during 1999-2013. The declining ST was also simulated by chilling-based phenology models, albeit with a weaker decline (24-30%) than observed in situ. The reduction in ST is likely to be partly attributable to reduced chilling. Nonetheless, other mechanisms may also have a role, such as 'photoperiod limitation' mechanisms that may become ultimately limiting when leaf unfolding dates occur too early in the season. Our results provide empirical evidence for a declining ST, but also suggest that the predicted strong winter warming in the future may further reduce ST and therefore result in a slowdown in the advance of tree spring phenology.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Fu, Yongshuo H -- Zhao, Hongfang -- Piao, Shilong -- Peaucelle, Marc -- Peng, Shushi -- Zhou, Guiyun -- Ciais, Philippe -- Huang, Mengtian -- Menzel, Annette -- Penuelas, Josep -- Song, Yang -- Vitasse, Yann -- Zeng, Zhenzhong -- Janssens, Ivan A -- England -- Nature. 2015 Oct 1;526(7571):104-7. doi: 10.1038/nature15402. Epub 2015 Sep 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China. ; Centre of Excellence PLECO (Plant and Vegetation Ecology), Department of Biology, University of Antwerp, Universiteitsplein 1, B-2610 Wilrijk, Belgium. ; Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100085, China. ; Center for Excellence in Tibetan Earth Science, Chinese Academy of Sciences, Beijing 100085, China. ; Laboratoire des Sciences du Climat et de l'Environnement, CEA CNRS UVSQ, Gif-sur-Yvette 91190, France. ; School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China. ; Ecoclimatology, Technische Universitat Munchen, Freising 85354, Germany. ; Technische Universitat Munchen, Institute for Advanced Study, Lichtenbergstrasse 2a, 85748 Garching, Germany. ; CREAF, Cerdanyola del Valles, Barcelona 08193, Catalonia, Spain. ; CSIC, Global Ecology Unit CREAF-CSIC-UAB, Cerdanyola del Valles, Barcelona 08193, Catalonia, Spain. ; Department of Atmospheric Sciences, University of Illinois, Urbana, Illinois 61801, USA. ; University of Neuchatel, Institute of Geography, Neuchatel 2000, Switzerland. ; WSL Swiss Federal Institute for Forest, Snow and Landscape Research, Neuchatel 2000, Switzerland. ; WSL Institute for Snow and Avalanche Research SLF, Group Mountain Ecosystems, Davos 7260, Switzerland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26416746" target="_blank"〉PubMed〈/a〉

Description: DNA replication in eukaryotes is strictly regulated by several mechanisms. A central step in this replication is the assembly of the heterohexameric minichromosome maintenance (MCM2-7) helicase complex at replication origins during G1 phase as an inactive double hexamer. Here, using cryo-electron microscopy, we report a near-atomic structure of the MCM2-7 double hexamer purified from yeast G1 chromatin. Our structure shows that two single hexamers, arranged in a tilted and twisted fashion through interdigitated amino-terminal domain interactions, form a kinked central channel. Four constricted rings consisting of conserved interior beta-hairpins from the two single hexamers create a narrow passageway that tightly fits duplex DNA. This narrow passageway, reinforced by the offset of the two single hexamers at the double hexamer interface, is flanked by two pairs of gate-forming subunits, MCM2 and MCM5. These unusual features of the twisted and tilted single hexamers suggest a concerted mechanism for the melting of origin DNA that requires structural deformation of the intervening DNA.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Li, Ningning -- Zhai, Yuanliang -- Zhang, Yixiao -- Li, Wanqiu -- Yang, Maojun -- Lei, Jianlin -- Tye, Bik-Kwoon -- Gao, Ning -- England -- Nature. 2015 Aug 13;524(7564):186-91. doi: 10.1038/nature14685. Epub 2015 Jul 29.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Ministry of Education Key Laboratory of Protein Sciences, Center for Structural Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China. ; 1] Division of Life Science, Hong Kong Universityof Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China [2] Institute for Advanced Study, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China. ; 1] Division of Life Science, Hong Kong Universityof Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China [2] Department of Molecular Biology and Genetics, College of Agriculture and Life Sciences, Cornell University, Ithaca, New York 14853, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26222030" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hamilton, Garry -- England -- Nature. 2015 Sep 24;525(7570):444-6. doi: 10.1038/525444a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26399812" target="_blank"〉PubMed〈/a〉

Description: Epithelium folding is a basic morphogenetic event that is essential in transforming simple two-dimensional epithelial sheets into three-dimensional structures in both vertebrates and invertebrates. Folding has been shown to rely on apical constriction. The resulting cell-shape changes depend either on adherens junction basal shift or on a redistribution of myosin II, which could be driven by mechanical signals. Yet the initial cellular mechanisms that trigger and coordinate cell remodelling remain largely unknown. Here we unravel the active role of apoptotic cells in initiating morphogenesis, thus revealing a novel mechanism of epithelium folding. We show that, in a live developing tissue, apoptotic cells exert a transient pulling force upon the apical surface of the epithelium through a highly dynamic apico-basal myosin II cable. The apoptotic cells then induce a non-autonomous increase in tissue tension together with cortical myosin II apical stabilization in the surrounding tissue, eventually resulting in epithelium folding. Together our results, supported by a theoretical biophysical three-dimensional model, identify an apoptotic myosin-II-dependent signal as the initial signal leading to cell reorganization and tissue folding. This work further reveals that, far from being passively eliminated as generally assumed (for example, during digit individualization), apoptotic cells actively influence their surroundings and trigger tissue remodelling through regulation of tissue tension.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Monier, Bruno -- Gettings, Melanie -- Gay, Guillaume -- Mangeat, Thomas -- Schott, Sonia -- Guarner, Ana -- Suzanne, Magali -- England -- Nature. 2015 Feb 12;518(7538):245-8. doi: 10.1038/nature14152. Epub 2015 Jan 21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Universite de Toulouse, UPS, LBCMCP, F-31062 Toulouse, France [2] CNRS, LBCMCP, F-31062 Toulouse, France. ; DamCB, Data Analysis and Modelling for Cell Biology, 13005 Marseille, France. ; Centro de Biologia Molecular Severo Ochoa (C.S.I.C.-U.A.M.), Universidad Autonoma de Madrid, Nicolas Cabrera 1, Cantoblanco, 28049 Madrid, Spain.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25607361" target="_blank"〉PubMed〈/a〉

Description: To contend with hazards posed by environmental fluoride, microorganisms export this anion through F(-)-specific ion channels of the Fluc family. Since the recent discovery of Fluc channels, numerous idiosyncratic features of these proteins have been unearthed, including strong selectivity for F(-) over Cl(-) and dual-topology dimeric assembly. To understand the chemical basis for F(-) permeation and how the antiparallel subunits convene to form a F(-)-selective pore, here we solve the crystal structures of two bacterial Fluc homologues in complex with three different monobody inhibitors, with and without F(-) present, to a maximum resolution of 2.1 A. The structures reveal a surprising 'double-barrelled' channel architecture in which two F(-) ion pathways span the membrane, and the dual-topology arrangement includes a centrally coordinated cation, most likely Na(+). F(-) selectivity is proposed to arise from the very narrow pores and an unusual anion coordination that exploits the quadrupolar edges of conserved phenylalanine rings.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Stockbridge, Randy B -- Kolmakova-Partensky, Ludmila -- Shane, Tania -- Koide, Akiko -- Koide, Shohei -- Miller, Christopher -- Newstead, Simon -- 102890/Z/13/Z/Wellcome Trust/United Kingdom -- K99 GM111767/GM/NIGMS NIH HHS/ -- K99-GM-111767/GM/NIGMS NIH HHS/ -- R01 GM107023/GM/NIGMS NIH HHS/ -- R01-GM107023/GM/NIGMS NIH HHS/ -- U54 GM087519/GM/NIGMS NIH HHS/ -- U54-GM087519/GM/NIGMS NIH HHS/ -- England -- Nature. 2015 Sep 24;525(7570):548-51. doi: 10.1038/nature14981. Epub 2015 Sep 7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry, Howard Hughes Medical Institute, Brandeis University, Waltham, Massachusetts 02454, USA. ; Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, Illinois 60637, USA. ; Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford OX1 3QU, UK. ; Department of Biochemistry, University of Oxford, Oxford OX1 3QU, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26344196" target="_blank"〉PubMed〈/a〉

Description: Cells sense the context in which they grow to adapt their phenotype and allow multicellular patterning by mechanisms of autocrine and paracrine signalling. However, patterns also form in cell populations exposed to the same signalling molecules and substratum, which often correlate with specific features of the population context of single cells, such as local cell crowding. Here we reveal a cell-intrinsic molecular mechanism that allows multicellular patterning without requiring specific communication between cells. It acts by sensing the local crowding of a single cell through its ability to spread and activate focal adhesion kinase (FAK, also known as PTK2), resulting in adaptation of genes controlling membrane homeostasis. In cells experiencing low crowding, FAK suppresses transcription of the ABC transporter A1 (ABCA1) by inhibiting FOXO3 and TAL1. Agent-based computational modelling and experimental confirmation identified membrane-based signalling and feedback control as crucial for the emergence of population patterns of ABCA1 expression, which adapts membrane lipid composition to cell crowding and affects multiple signalling activities, including the suppression of ABCA1 expression itself. The simple design of this cell-intrinsic system and its broad impact on the signalling state of mammalian single cells suggests a fundamental role for a tunable membrane lipid composition in collective cell behaviour.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Frechin, Mathieu -- Stoeger, Thomas -- Daetwyler, Stephan -- Gehin, Charlotte -- Battich, Nico -- Damm, Eva-Maria -- Stergiou, Lilli -- Riezman, Howard -- Pelkmans, Lucas -- England -- Nature. 2015 Jul 2;523(7558):88-91. doi: 10.1038/nature14429. Epub 2015 May 25.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Faculty of Sciences, Institute of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland. ; 1] Faculty of Sciences, Institute of Molecular Life Sciences, University of Zurich, 8057 Zurich, Switzerland [2] Life Science Zurich Graduate School, Ph.D. program in Systems Biology. ETH Zurich and University of Zurich, 8057 Zurich, Switzerland. ; Department of Biochemistry, University of Geneva, 1205 Geneva, Switzerland. ; Institute of Molecular Systems Biology, ETH Zurich, 8057, Zurich, Switzerland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26009010" target="_blank"〉PubMed〈/a〉

Description: CRISPR-Cas (clustered, regularly interspaced short palindromic repeats coupled with CRISPR-associated proteins) is a bacterial immunity system that protects against invading phages or plasmids. In the process of CRISPR adaptation, short pieces of DNA ('spacers') are acquired from foreign elements and integrated into the CRISPR array. So far, it has remained a mystery how spacers are preferentially acquired from the foreign DNA while the self chromosome is avoided. Here we show that spacer acquisition is replication-dependent, and that DNA breaks formed at stalled replication forks promote spacer acquisition. Chromosomal hotspots of spacer acquisition were confined by Chi sites, which are sequence octamers highly enriched on the bacterial chromosome, suggesting that these sites limit spacer acquisition from self DNA. We further show that the avoidance of self is mediated by the RecBCD double-stranded DNA break repair complex. Our results suggest that, in Escherichia coli, acquisition of new spacers largely depends on RecBCD-mediated processing of double-stranded DNA breaks occurring primarily at replication forks, and that the preference for foreign DNA is achieved through the higher density of Chi sites on the self chromosome, in combination with the higher number of forks on the foreign DNA. This model explains the strong preference to acquire spacers both from high copy plasmids and from phages.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4561520/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4561520/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Levy, Asaf -- Goren, Moran G -- Yosef, Ido -- Auster, Oren -- Manor, Miriam -- Amitai, Gil -- Edgar, Rotem -- Qimron, Udi -- Sorek, Rotem -- 260432/European Research Council/International -- 336079/European Research Council/International -- England -- Nature. 2015 Apr 23;520(7548):505-10. doi: 10.1038/nature14302. Epub 2015 Apr 13.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel. ; Department of Clinical Microbiology and Immunology, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25874675" target="_blank"〉PubMed〈/a〉

Description: Overflow metabolism refers to the seemingly wasteful strategy in which cells use fermentation instead of the more efficient respiration to generate energy, despite the availability of oxygen. Known as the Warburg effect in the context of cancer growth, this phenomenon occurs ubiquitously for fast-growing cells, including bacteria, fungi and mammalian cells, but its origin has remained unclear despite decades of research. Here we study metabolic overflow in Escherichia coli, and show that it is a global physiological response used to cope with changing proteomic demands of energy biogenesis and biomass synthesis under different growth conditions. A simple model of proteomic resource allocation can quantitatively account for all of the observed behaviours, and accurately predict responses to new perturbations. The key hypothesis of the model, that the proteome cost of energy biogenesis by respiration exceeds that by fermentation, is quantitatively confirmed by direct measurement of protein abundances via quantitative mass spectrometry.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Basan, Markus -- Hui, Sheng -- Okano, Hiroyuki -- Zhang, Zhongge -- Shen, Yang -- Williamson, James R -- Hwa, Terence -- R01-GM109069/GM/NIGMS NIH HHS/ -- England -- Nature. 2015 Dec 3;528(7580):99-104. doi: 10.1038/nature15765.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Physics, University of California at San Diego, La Jolla, California 92093-0374, USA. ; Institute of Molecular Systems Biology, ETH Zurich, 8093 Zurich, Switzerland. ; Section of Molecular Biology, Division of Biological Sciences, University of California at San Diego, La Jolla, California 92093, USA. ; Department of Integrative Structural and Computational Biology, Department of Chemistry, The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, California 92037, USA. ; Institute for Theoretical Studies, ETH Zurich, 8092 Zurich, Switzerland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26632588" target="_blank"〉PubMed〈/a〉

Description: Oncogene-induced DNA replication stress has been implicated as a driver of tumorigenesis. Many chromosomal rearrangements characteristic of human cancers originate from specific regions of the genome called common fragile sites (CFSs). CFSs are difficult-to-replicate loci that manifest as gaps or breaks on metaphase chromosomes (termed CFS 'expression'), particularly when cells have been exposed to replicative stress. The MUS81-EME1 structure-specific endonuclease promotes the appearance of chromosome gaps or breaks at CFSs following replicative stress. Here we show that entry of cells into mitotic prophase triggers the recruitment of MUS81 to CFSs. The nuclease activity of MUS81 then promotes POLD3-dependent DNA synthesis at CFSs, which serves to minimize chromosome mis-segregation and non-disjunction. We propose that the attempted condensation of incompletely duplicated loci in early mitosis serves as the trigger for completion of DNA replication at CFS loci in human cells. Given that this POLD3-dependent mitotic DNA synthesis is enhanced in aneuploid cancer cells that exhibit intrinsically high levels of chromosomal instability (CIN(+)) and replicative stress, we suggest that targeting this pathway could represent a new therapeutic approach.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Minocherhomji, Sheroy -- Ying, Songmin -- Bjerregaard, Victoria A -- Bursomanno, Sara -- Aleliunaite, Aiste -- Wu, Wei -- Mankouri, Hocine W -- Shen, Huahao -- Liu, Ying -- Hickson, Ian D -- England -- Nature. 2015 Dec 10;528(7581):286-90. doi: 10.1038/nature16139. Epub 2015 Dec 2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Chromosome Stability and Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Panum Institute, Blegdamsvej 3B, 2200 Copenhagen N, Denmark. ; Department of Respiratory and Critical Care Medicine of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China. ; Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou 310058, China. ; State Key Laboratory of Respiratory Disease (SKLRD), Guangzhou 510120, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26633632" target="_blank"〉PubMed〈/a〉

Description: Protein aggregates and damaged organelles are tagged with ubiquitin chains to trigger selective autophagy. To initiate mitophagy, the ubiquitin kinase PINK1 phosphorylates ubiquitin to activate the ubiquitin ligase parkin, which builds ubiquitin chains on mitochondrial outer membrane proteins, where they act to recruit autophagy receptors. Using genome editing to knockout five autophagy receptors in HeLa cells, here we show that two receptors previously linked to xenophagy, NDP52 and optineurin, are the primary receptors for PINK1- and parkin-mediated mitophagy. PINK1 recruits NDP52 and optineurin, but not p62, to mitochondria to activate mitophagy directly, independently of parkin. Once recruited to mitochondria, NDP52 and optineurin recruit the autophagy factors ULK1, DFCP1 and WIPI1 to focal spots proximal to mitochondria, revealing a function for these autophagy receptors upstream of LC3. This supports a new model in which PINK1-generated phospho-ubiquitin serves as the autophagy signal on mitochondria, and parkin then acts to amplify this signal. This work also suggests direct and broader roles for ubiquitin phosphorylation in other autophagy pathways.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lazarou, Michael -- Sliter, Danielle A -- Kane, Lesley A -- Sarraf, Shireen A -- Wang, Chunxin -- Burman, Jonathon L -- Sideris, Dionisia P -- Fogel, Adam I -- Youle, Richard J -- Intramural NIH HHS/ -- England -- Nature. 2015 Aug 20;524(7565):309-14. doi: 10.1038/nature14893. Epub 2015 Aug 12.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Biochemistry Section, Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland 20892, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26266977" target="_blank"〉PubMed〈/a〉

Description: The origin of mutations is central to understanding evolution and of key relevance to health. Variation occurs non-randomly across the genome, and mechanisms for this remain to be defined. Here we report that the 5' ends of Okazaki fragments have significantly increased levels of nucleotide substitution, indicating a replicative origin for such mutations. Using a novel method, emRiboSeq, we map the genome-wide contribution of polymerases, and show that despite Okazaki fragment processing, DNA synthesized by error-prone polymerase-alpha (Pol-alpha) is retained in vivo, comprising approximately 1.5% of the mature genome. We propose that DNA-binding proteins that rapidly re-associate post-replication act as partial barriers to Pol-delta-mediated displacement of Pol-alpha-synthesized DNA, resulting in incorporation of such Pol-alpha tracts and increased mutation rates at specific sites. We observe a mutational cost to chromatin and regulatory protein binding, resulting in mutation hotspots at regulatory elements, with signatures of this process detectable in both yeast and humans.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4374164/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4374164/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Reijns, Martin A M -- Kemp, Harriet -- Ding, James -- de Proce, Sophie Marion -- Jackson, Andrew P -- Taylor, Martin S -- MC_PC_U127580972/Medical Research Council/United Kingdom -- MC_PC_U127597124/Medical Research Council/United Kingdom -- MC_U127597124/Medical Research Council/United Kingdom -- Medical Research Council/United Kingdom -- England -- Nature. 2015 Feb 26;518(7540):502-6. doi: 10.1038/nature14183. Epub 2015 Jan 26.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Medical and Developmental Genetics, MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK. ; Biomedical Systems Analysis, MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25624100" target="_blank"〉PubMed〈/a〉

Description: Over the past 200 years, almost every invertebrate phylum has been proposed as a starting point for evolving vertebrates. Most of these scenarios are outdated, but several are still seriously considered. The short-range transition from ancestral invertebrate chordates (similar to amphioxus and tunicates) to vertebrates is well accepted. However, longer-range transitions leading up to the invertebrate chordates themselves are more controversial. Opinion is divided between the annelid and the enteropneust scenarios, predicting, respectively, a complex or a simple ancestor for bilaterian animals. Deciding between these ideas will be facilitated by further comparative studies of multicellular animals, including enigmatic taxa such as xenacoelomorphs.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Holland, Nicholas D -- Holland, Linda Z -- Holland, Peter W H -- England -- Nature. 2015 Apr 23;520(7548):450-5. doi: 10.1038/nature14433.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Marine Biology Research Division, Scripps Institution of Oceanography, University of California at San Diego, La Jolla, California 92093, USA. ; Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25903626" target="_blank"〉PubMed〈/a〉

Description: Males and females share many traits that have a common genetic basis; however, selection on these traits often differs between the sexes, leading to sexual conflict. Under such sexual antagonism, theory predicts the evolution of genetic architectures that resolve this sexual conflict. Yet, despite intense theoretical and empirical interest, the specific loci underlying sexually antagonistic phenotypes have rarely been identified, limiting our understanding of how sexual conflict impacts genome evolution and the maintenance of genetic diversity. Here we identify a large effect locus controlling age at maturity in Atlantic salmon (Salmo salar), an important fitness trait in which selection favours earlier maturation in males than females, and show it is a clear example of sex-dependent dominance that reduces intralocus sexual conflict and maintains adaptive variation in wild populations. Using high-density single nucleotide polymorphism data across 57 wild populations and whole genome re-sequencing, we find that the vestigial-like family member 3 gene (VGLL3) exhibits sex-dependent dominance in salmon, promoting earlier and later maturation in males and females, respectively. VGLL3, an adiposity regulator associated with size and age at maturity in humans, explained 39% of phenotypic variation, an unexpectedly large proportion for what is usually considered a highly polygenic trait. Such large effects are predicted under balancing selection from either sexually antagonistic or spatially varying selection. Our results provide the first empirical example of dominance reversal allowing greater optimization of phenotypes within each sex, contributing to the resolution of sexual conflict in a major and widespread evolutionary trade-off between age and size at maturity. They also provide key empirical evidence for how variation in reproductive strategies can be maintained over large geographical scales. We anticipate these findings will have a substantial impact on population management in a range of harvested species where trends towards earlier maturation have been observed.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Barson, Nicola J -- Aykanat, Tutku -- Hindar, Kjetil -- Baranski, Matthew -- Bolstad, Geir H -- Fiske, Peder -- Jacq, Celeste -- Jensen, Arne J -- Johnston, Susan E -- Karlsson, Sten -- Kent, Matthew -- Moen, Thomas -- Niemela, Eero -- Nome, Torfinn -- Naesje, Tor F -- Orell, Panu -- Romakkaniemi, Atso -- Saegrov, Harald -- Urdal, Kurt -- Erkinaro, Jaakko -- Lien, Sigbjorn -- Primmer, Craig R -- England -- Nature. 2015 Dec 17;528(7582):405-8. doi: 10.1038/nature16062. Epub 2015 Nov 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Centre for Integrative Genetics (CIGENE), Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, NO-1432 As, Norway. ; Department of Biology, University of Turku, FI-20014, Finland. ; Norwegian Institute for Nature Research (NINA), NO-7485 Trondheim, Norway. ; Nofima - Norwegian Institute of Food, Fisheries and Aquaculture Research, NO-1431 As, Norway. ; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3FL, UK. ; AquaGen, NO-7462 Trondheim, Norway. ; Natural Resources Institute Finland, Oulu, FI-90014, Finland. ; Radgivende Biologer, NO-5003 Bergen, Norway.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26536110" target="_blank"〉PubMed〈/a〉

Description: Multicellular assemblages of microorganisms are ubiquitous in nature, and the proximity afforded by aggregation is thought to permit intercellular metabolic coupling that can accommodate otherwise unfavourable reactions. Consortia of methane-oxidizing archaea and sulphate-reducing bacteria are a well-known environmental example of microbial co-aggregation; however, the coupling mechanisms between these paired organisms is not well understood, despite the attention given them because of the global significance of anaerobic methane oxidation. Here we examined the influence of interspecies spatial positioning as it relates to biosynthetic activity within structurally diverse uncultured methane-oxidizing consortia by measuring stable isotope incorporation for individual archaeal and bacterial cells to constrain their potential metabolic interactions. In contrast to conventional models of syntrophy based on the passage of molecular intermediates, cellular activities were found to be independent of both species intermixing and distance between syntrophic partners within consortia. A generalized model of electric conductivity between co-associated archaea and bacteria best fit the empirical data. Combined with the detection of large multi-haem cytochromes in the genomes of methanotrophic archaea and the demonstration of redox-dependent staining of the matrix between cells in consortia, these results provide evidence for syntrophic coupling through direct electron transfer.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉McGlynn, Shawn E -- Chadwick, Grayson L -- Kempes, Christopher P -- Orphan, Victoria J -- England -- Nature. 2015 Oct 22;526(7574):531-5. doi: 10.1038/nature15512. Epub 2015 Sep 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California 91125, USA. ; Exobiology Branch, National Aeronautics and Space Administration Ames Research Center, Moffett Field, California 94035, USA. ; Control and Dynamical Systems, California Institute of Technology, Pasadena, California 91125, USA. ; SETI Institute, Mountain View, California 94034, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26375009" target="_blank"〉PubMed〈/a〉

Description: Mitochondria are multifunctional organelles whose dysfunction leads to neuromuscular degeneration and ageing. The multi-functionality poses a great challenge for understanding the mechanisms by which mitochondrial dysfunction causes specific pathologies. Among the leading mitochondrial mediators of cell death are energy depletion, free radical production, defects in iron-sulfur cluster biosynthesis, the release of pro-apoptotic and non-cell-autonomous signalling molecules, and altered stress signalling. Here we identify a new pathway of mitochondria-mediated cell death in yeast. This pathway was named mitochondrial precursor over-accumulation stress (mPOS), and is characterized by aberrant accumulation of mitochondrial precursors in the cytosol. mPOS can be triggered by clinically relevant mitochondrial damage that is not limited to the core machineries of protein import. We also discover a large network of genes that suppress mPOS, by modulating ribosomal biogenesis, messenger RNA decapping, transcript-specific translation, protein chaperoning and turnover. In response to mPOS, several ribosome-associated proteins were upregulated, including Gis2 and Nog2, which promote cap-independent translation and inhibit the nuclear export of the 60S ribosomal subunit, respectively. Gis2 and Nog2 upregulation promotes cell survival, which may be part of a feedback loop that attenuates mPOS. Our data indicate that mitochondrial dysfunction contributes directly to cytosolic proteostatic stress, and provide an explanation for the association between these two hallmarks of degenerative diseases and ageing. The results are relevant to understanding diseases (for example, spinocerebellar ataxia, amyotrophic lateral sclerosis and myotonic dystrophy) that involve mutations within the anti-degenerative network.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4582408/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4582408/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wang, Xiaowen -- Chen, Xin Jie -- R01 AG023731/AG/NIA NIH HHS/ -- R01AG023731/AG/NIA NIH HHS/ -- R21 AG047400/AG/NIA NIH HHS/ -- R21AG047400/AG/NIA NIH HHS/ -- England -- Nature. 2015 Aug 27;524(7566):481-4. doi: 10.1038/nature14859. Epub 2015 Jul 20.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry and Molecular Biology, State University of New York Upstate Medical University, Syracuse, New York 13210, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26192197" target="_blank"〉PubMed〈/a〉

Description: In all domains of life, DNA synthesis occurs bidirectionally from replication origins. Despite variable rates of replication fork progression, fork convergence often occurs at specific sites. Escherichia coli sets a 'replication fork trap' that allows the first arriving fork to enter but not to leave the terminus region. The trap is set by oppositely oriented Tus-bound Ter sites that block forks on approach from only one direction. However, the efficiency of fork blockage by Tus-Ter does not exceed 50% in vivo despite its apparent ability to almost permanently arrest replication forks in vitro. Here we use data from single-molecule DNA replication assays and structural studies to show that both polarity and fork-arrest efficiency are determined by a competition between rates of Tus displacement and rearrangement of Tus-Ter interactions that leads to blockage of slower moving replisomes by two distinct mechanisms. To our knowledge this is the first example where intrinsic differences in rates of individual replisomes have different biological outcomes.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Elshenawy, Mohamed M -- Jergic, Slobodan -- Xu, Zhi-Qiang -- Sobhy, Mohamed A -- Takahashi, Masateru -- Oakley, Aaron J -- Dixon, Nicholas E -- Hamdan, Samir M -- England -- Nature. 2015 Sep 17;525(7569):394-8. doi: 10.1038/nature14866. Epub 2015 Aug 31.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Biological and Environmental Sciences and Engineering, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia. ; Centre for Medical &Molecular Bioscience, Illawarra Health &Medical Research Institute and University of Wollongong, New South Wales 2522, Australia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26322585" target="_blank"〉PubMed〈/a〉

Description: Phenotypic traits and their associated trade-offs have been shown to have globally consistent effects on individual plant physiological functions, but how these effects scale up to influence competition, a key driver of community assembly in terrestrial vegetation, has remained unclear. Here we use growth data from more than 3 million trees in over 140,000 plots across the world to show how three key functional traits--wood density, specific leaf area and maximum height--consistently influence competitive interactions. Fast maximum growth of a species was correlated negatively with its wood density in all biomes, and positively with its specific leaf area in most biomes. Low wood density was also correlated with a low ability to tolerate competition and a low competitive effect on neighbours, while high specific leaf area was correlated with a low competitive effect. Thus, traits generate trade-offs between performance with competition versus performance without competition, a fundamental ingredient in the classical hypothesis that the coexistence of plant species is enabled via differentiation in their successional strategies. Competition within species was stronger than between species, but an increase in trait dissimilarity between species had little influence in weakening competition. No benefit of dissimilarity was detected for specific leaf area or wood density, and only a weak benefit for maximum height. Our trait-based approach to modelling competition makes generalization possible across the forest ecosystems of the world and their highly diverse species composition.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kunstler, Georges -- Falster, Daniel -- Coomes, David A -- Hui, Francis -- Kooyman, Robert M -- Laughlin, Daniel C -- Poorter, Lourens -- Vanderwel, Mark -- Vieilledent, Ghislain -- Wright, S Joseph -- Aiba, Masahiro -- Baraloto, Christopher -- Caspersen, John -- Cornelissen, J Hans C -- Gourlet-Fleury, Sylvie -- Hanewinkel, Marc -- Herault, Bruno -- Kattge, Jens -- Kurokawa, Hiroko -- Onoda, Yusuke -- Penuelas, Josep -- Poorter, Hendrik -- Uriarte, Maria -- Richardson, Sarah -- Ruiz-Benito, Paloma -- Sun, I-Fang -- Stahl, Goran -- Swenson, Nathan G -- Thompson, Jill -- Westerlund, Bertil -- Wirth, Christian -- Zavala, Miguel A -- Zeng, Hongcheng -- Zimmerman, Jess K -- Zimmermann, Niklaus E -- Westoby, Mark -- England -- Nature. 2016 Jan 14;529(7585):204-7. doi: 10.1038/nature16476. Epub 2015 Dec 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Irstea, UR EMGR, 2 rue de la Papeterie BP-76, F-38402, St-Martin-d'Heres, France. ; Univ. Grenoble Alpes, F-38402 Grenoble, France. ; Department of Biological Sciences, Macquarie University, New South Wales 2109, Australia. ; Forest Ecology and Conservation Group, Department of Plant Sciences, University of Cambridge, Cambridge CB2 3EA, UK. ; Mathematical Sciences Institute, The Australian National University, Canberra 0200, Australia. ; National Herbarium of New South Wales, Royal Botanic Gardens and Domain Trust, Sydney 2000, New South Wales, Australia. ; Environmental Research Institute, School of Science, University of Waikato, Hamilton 3240, New Zealand. ; Forest Ecology and Forest Management Group, Wageningen University, 6708 PB Wageningen, The Netherlands. ; Department of Biology, University of Regina, 3737 Wascana Pkwy, Regina SK S4S 0A2, Canada. ; Cirad, UPR BSEF, F-34398 Montpellier, France. ; Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, Republic of Panama. ; Graduate School of Life Sciences, Tohoku University, Sendai 980-8578, Japan. ; INRA, UMR Ecologie des Forets de Guyane, BP 709, 97387 Kourou Cedex, France. ; International Center for Tropical Botany, Department of Biological Sciences, Florida International University, Miami, Florida 33199, USA. ; Faculty of Forestry, University of Toronto, 33 Willcocks Street, Toronto, Ontario M5S 3B3, Canada. ; Swiss Federal Research Institute WSL, Landscape Dynamics Unit, CH-8903 Birmensdorf, Switzerland. ; Systems Ecology, Department of Ecological Science, Vrije Universiteit, Amsterdam 1081 HV, The Netherlands. ; Swiss Federal Research Institute WSL, Forest Resources and Management Unit, CH-8903 Birmensdorf, Switzerland. ; University of Freiburg, Chair of Forestry Economics and Planning, D-79106 Freiburg, Germany. ; Cirad, UMR Ecologie des Forets de Guyane, Campus Agronomique, BP 701, 97387 Kourou, France. ; Max Planck Institute for Biogeochemistry, Hans Knoll Str. 10, 07745 Jena, Germany. ; German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, Deutscher Platz 5e 04103 Leipzig, Germany. ; Graduate School of Agriculture, Kyoto University, Kyoto, 606-8502 Japan. ; CSIC, Global Ecology Unit CREAF-CSIC-UAB, Cerdanyola del Valles 08193, Catalonia, Spain. ; CREAF, Cerdanyola del Valles, 08193 Barcelona, Catalonia, Spain. ; Plant Sciences (IBG-2), Forschungszentrum Julich GmbH, D-52425 Julich, Germany. ; Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, New York 10027, USA. ; Landcare Research, PO Box 40, Lincoln 7640, New Zealand. ; Biological and Environmental Sciences, School of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK. ; Forest Ecology and Restoration Group, Department of Life Sciences, Science Building, University of Alcala, Campus Universitario, 28805 Alcala de Henares (Madrid), Spain. ; Department of Natural Resources and Environmental Studies, National Dong Hwa University, Hualien 97401, Taiwan. ; Department of Forest Resource Management, Swedish University of Agricultural Sciences (SLU), Skogsmarksgrand, 901 83 Umea, Sweden. ; Department of Biology, University of Maryland, College Park, Maryland 20742, USA. ; Centre for Ecology and Hydrology, Bush Estate, Penicuik, Midlothian EH26 0QB, UK. ; Department of Environmental Sciences, University of Puerto Rico, Rio Piedras Campus PO Box 70377 San Juan, Puerto Rico 00936-8377, USA. ; Institute for Systematic, Botany and Functional Biodiversity, University of Leipzig, Johannisallee 21 04103 Leipzig, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26700807" target="_blank"〉PubMed〈/a〉

Description: Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P 〈 5 x 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4338562/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4338562/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shungin, Dmitry -- Winkler, Thomas W -- Croteau-Chonka, Damien C -- Ferreira, Teresa -- Locke, Adam E -- Magi, Reedik -- Strawbridge, Rona J -- Pers, Tune H -- Fischer, Krista -- Justice, Anne E -- Workalemahu, Tsegaselassie -- Wu, Joseph M W -- Buchkovich, Martin L -- Heard-Costa, Nancy L -- Roman, Tamara S -- Drong, Alexander W -- Song, Ci -- Gustafsson, Stefan -- Day, Felix R -- Esko, Tonu -- Fall, Tove -- Kutalik, Zoltan -- Luan, Jian'an -- Randall, Joshua C -- Scherag, Andre -- Vedantam, Sailaja -- Wood, Andrew R -- Chen, Jin -- Fehrmann, Rudolf -- Karjalainen, Juha -- Kahali, Bratati -- Liu, Ching-Ti -- Schmidt, Ellen M -- Absher, Devin -- Amin, Najaf -- Anderson, Denise -- Beekman, Marian -- Bragg-Gresham, Jennifer L -- Buyske, Steven -- Demirkan, Ayse -- Ehret, Georg B -- Feitosa, Mary F -- Goel, Anuj -- Jackson, Anne U -- Johnson, Toby -- Kleber, Marcus E -- Kristiansson, Kati -- Mangino, Massimo -- Mateo Leach, Irene -- Medina-Gomez, Carolina -- Palmer, Cameron D -- Pasko, Dorota -- Pechlivanis, Sonali -- Peters, Marjolein J -- Prokopenko, Inga -- Stancakova, Alena -- Ju Sung, Yun -- Tanaka, Toshiko -- Teumer, Alexander -- Van Vliet-Ostaptchouk, Jana V -- Yengo, Loic -- Zhang, Weihua -- Albrecht, Eva -- Arnlov, Johan -- Arscott, Gillian M -- Bandinelli, Stefania -- Barrett, Amy -- Bellis, Claire -- Bennett, Amanda J -- Berne, Christian -- Bluher, Matthias -- Bohringer, Stefan -- Bonnet, Fabrice -- Bottcher, Yvonne -- Bruinenberg, Marcel -- Carba, Delia B -- Caspersen, Ida H -- Clarke, Robert -- Daw, E Warwick -- Deelen, Joris -- Deelman, Ewa -- Delgado, Graciela -- Doney, Alex S F -- Eklund, Niina -- Erdos, Michael R -- Estrada, Karol -- Eury, Elodie -- Friedrich, Nele -- Garcia, Melissa E -- Giedraitis, Vilmantas -- Gigante, Bruna -- Go, Alan S -- Golay, Alain -- Grallert, Harald -- Grammer, Tanja B -- Grassler, Jurgen -- Grewal, Jagvir -- Groves, Christopher J -- Haller, Toomas -- Hallmans, Goran -- Hartman, Catharina A -- Hassinen, Maija -- Hayward, Caroline -- Heikkila, Kauko -- Herzig, Karl-Heinz -- Helmer, Quinta -- Hillege, Hans L -- Holmen, Oddgeir -- Hunt, Steven C -- Isaacs, Aaron -- Ittermann, Till -- James, Alan L -- Johansson, Ingegerd -- Juliusdottir, Thorhildur -- Kalafati, Ioanna-Panagiota -- Kinnunen, Leena -- Koenig, Wolfgang -- Kooner, Ishminder K -- Kratzer, Wolfgang -- Lamina, Claudia -- Leander, Karin -- Lee, Nanette R -- Lichtner, Peter -- Lind, Lars -- Lindstrom, Jaana -- Lobbens, Stephane -- Lorentzon, Mattias -- Mach, Francois -- Magnusson, Patrik K E -- Mahajan, Anubha -- McArdle, Wendy L -- Menni, Cristina -- Merger, Sigrun -- Mihailov, Evelin -- Milani, Lili -- Mills, Rebecca -- Moayyeri, Alireza -- Monda, Keri L -- Mooijaart, Simon P -- Muhleisen, Thomas W -- Mulas, Antonella -- Muller, Gabriele -- Muller-Nurasyid, Martina -- Nagaraja, Ramaiah -- Nalls, Michael A -- Narisu, Narisu -- Glorioso, Nicola -- Nolte, Ilja M -- Olden, Matthias -- Rayner, Nigel W -- Renstrom, Frida -- Ried, Janina S -- Robertson, Neil R -- Rose, Lynda M -- Sanna, Serena -- Scharnagl, Hubert -- Scholtens, Salome -- Sennblad, Bengt -- Seufferlein, Thomas -- Sitlani, Colleen M -- Vernon Smith, Albert -- Stirrups, Kathleen -- Stringham, Heather M -- Sundstrom, Johan -- Swertz, Morris A -- Swift, Amy J -- Syvanen, Ann-Christine -- Tayo, Bamidele O -- Thorand, Barbara -- Thorleifsson, Gudmar -- Tomaschitz, Andreas -- Troffa, Chiara -- van Oort, Floor V A -- Verweij, Niek -- Vonk, Judith M -- Waite, Lindsay L -- Wennauer, Roman -- Wilsgaard, Tom -- Wojczynski, Mary K -- Wong, Andrew -- Zhang, Qunyuan -- Hua Zhao, Jing -- Brennan, Eoin P -- Choi, Murim -- Eriksson, Per -- Folkersen, Lasse -- Franco-Cereceda, Anders -- Gharavi, Ali G -- Hedman, Asa K -- Hivert, Marie-France -- Huang, Jinyan -- Kanoni, Stavroula -- Karpe, Fredrik -- Keildson, Sarah -- Kiryluk, Krzysztof -- Liang, Liming -- Lifton, Richard P -- Ma, Baoshan -- McKnight, Amy J -- McPherson, Ruth -- Metspalu, Andres -- Min, Josine L -- Moffatt, Miriam F -- Montgomery, Grant W -- Murabito, Joanne M -- Nicholson, George -- Nyholt, Dale R -- Olsson, Christian -- Perry, John R B -- Reinmaa, Eva -- Salem, Rany M -- Sandholm, Niina -- Schadt, Eric E -- Scott, Robert A -- Stolk, Lisette -- Vallejo, Edgar E -- Westra, Harm-Jan -- Zondervan, Krina T -- ADIPOGen Consortium -- CARDIOGRAMplusC4D Consortium -- CKDGen Consortium -- GEFOS Consortium -- GENIE Consortium -- GLGC -- ICBP -- International Endogene Consortium -- LifeLines Cohort Study -- MAGIC Investigators -- MuTHER Consortium -- PAGE Consortium -- ReproGen Consortium -- Amouyel, Philippe -- Arveiler, Dominique -- Bakker, Stephan J L -- Beilby, John -- Bergman, Richard N -- Blangero, John -- Brown, Morris J -- Burnier, Michel -- Campbell, Harry -- Chakravarti, Aravinda -- Chines, Peter S -- Claudi-Boehm, Simone -- Collins, Francis S -- Crawford, Dana C -- Danesh, John -- de Faire, Ulf -- de Geus, Eco J C -- Dorr, Marcus -- Erbel, Raimund -- Eriksson, Johan G -- Farrall, Martin -- Ferrannini, Ele -- Ferrieres, Jean -- Forouhi, Nita G -- Forrester, Terrence -- Franco, Oscar H -- Gansevoort, Ron T -- Gieger, Christian -- Gudnason, Vilmundur -- Haiman, Christopher A -- Harris, Tamara B -- Hattersley, Andrew T -- Heliovaara, Markku -- Hicks, Andrew A -- Hingorani, Aroon D -- Hoffmann, Wolfgang -- Hofman, Albert -- Homuth, Georg -- Humphries, Steve E -- Hypponen, Elina -- Illig, Thomas -- Jarvelin, Marjo-Riitta -- Johansen, Berit -- Jousilahti, Pekka -- Jula, Antti M -- Kaprio, Jaakko -- Kee, Frank -- Keinanen-Kiukaanniemi, Sirkka M -- Kooner, Jaspal S -- Kooperberg, Charles -- Kovacs, Peter -- Kraja, Aldi T -- Kumari, Meena -- Kuulasmaa, Kari -- Kuusisto, Johanna -- Lakka, Timo A -- Langenberg, Claudia -- Le Marchand, Loic -- Lehtimaki, Terho -- Lyssenko, Valeriya -- Mannisto, Satu -- Marette, Andre -- Matise, Tara C -- McKenzie, Colin A -- McKnight, Barbara -- Musk, Arthur W -- Mohlenkamp, Stefan -- Morris, Andrew D -- Nelis, Mari -- Ohlsson, Claes -- Oldehinkel, Albertine J -- Ong, Ken K -- Palmer, Lyle J -- Penninx, Brenda W -- Peters, Annette -- Pramstaller, Peter P -- Raitakari, Olli T -- Rankinen, Tuomo -- Rao, D C -- Rice, Treva K -- Ridker, Paul M -- Ritchie, Marylyn D -- Rudan, Igor -- Salomaa, Veikko -- Samani, Nilesh J -- Saramies, Jouko -- Sarzynski, Mark A -- Schwarz, Peter E H -- Shuldiner, Alan R -- Staessen, Jan A -- Steinthorsdottir, Valgerdur -- Stolk, Ronald P -- Strauch, Konstantin -- Tonjes, Anke -- Tremblay, Angelo -- Tremoli, Elena -- Vohl, Marie-Claude -- Volker, Uwe -- Vollenweider, Peter -- Wilson, James F -- Witteman, Jacqueline C -- Adair, Linda S -- Bochud, Murielle -- Boehm, Bernhard O -- Bornstein, Stefan R -- Bouchard, Claude -- Cauchi, Stephane -- Caulfield, Mark J -- Chambers, John C -- Chasman, Daniel I -- Cooper, Richard S -- Dedoussis, George -- Ferrucci, Luigi -- Froguel, Philippe -- Grabe, Hans-Jorgen -- Hamsten, Anders -- Hui, Jennie -- Hveem, Kristian -- Jockel, Karl-Heinz -- Kivimaki, Mika -- Kuh, Diana -- Laakso, Markku -- Liu, Yongmei -- Marz, Winfried -- Munroe, Patricia B -- Njolstad, Inger -- Oostra, Ben A -- Palmer, Colin N A -- Pedersen, Nancy L -- Perola, Markus -- Perusse, Louis -- Peters, Ulrike -- Power, Chris -- Quertermous, Thomas -- Rauramaa, Rainer -- Rivadeneira, Fernando -- Saaristo, Timo E -- Saleheen, Danish -- Sinisalo, Juha -- Slagboom, P Eline -- Snieder, Harold -- Spector, Tim D -- Thorsteinsdottir, Unnur -- Stumvoll, Michael -- Tuomilehto, Jaakko -- Uitterlinden, Andre G -- Uusitupa, Matti -- van der Harst, Pim -- Veronesi, Giovanni -- Walker, Mark -- Wareham, Nicholas J -- Watkins, Hugh -- Wichmann, H-Erich -- Abecasis, Goncalo R -- Assimes, Themistocles L -- Berndt, Sonja I -- Boehnke, Michael -- Borecki, Ingrid B -- Deloukas, Panos -- Franke, Lude -- Frayling, Timothy M -- Groop, Leif C -- Hunter, David J -- Kaplan, Robert C -- O'Connell, Jeffrey R -- Qi, Lu -- Schlessinger, David -- Strachan, David P -- Stefansson, Kari -- van Duijn, Cornelia M -- Willer, Cristen J -- Visscher, Peter M -- Yang, Jian -- Hirschhorn, Joel N -- Zillikens, M Carola -- McCarthy, Mark I -- Speliotes, Elizabeth K -- North, Kari E -- Fox, Caroline S -- Barroso, Ines -- Franks, Paul W -- Ingelsson, Erik -- Heid, Iris M -- Loos, Ruth J F -- Cupples, L Adrienne -- Morris, Andrew P -- Lindgren, Cecilia M -- Mohlke, Karen L -- 084766/Wellcome Trust/United Kingdom -- 085235/Wellcome Trust/United Kingdom -- 097117/Wellcome Trust/United Kingdom -- 098381/Wellcome Trust/United Kingdom -- 098498/Wellcome Trust/United Kingdom -- 12/0004470/Diabetes UK/United Kingdom -- 14136/Cancer Research UK/United Kingdom -- CZB/4/710/Chief Scientist Office/United Kingdom -- G0601261/Medical Research Council/United Kingdom -- G1000143/Medical Research Council/United Kingdom -- K01 HL116770/HL/NHLBI NIH HHS/ -- K23 DK080145/DK/NIDDK NIH HHS/ -- MC_PC_U127561128/Medical Research Council/United Kingdom -- MC_U106179471/Medical Research Council/United Kingdom -- MC_UP_A620_1014/Medical Research Council/United Kingdom -- MC_UU_12011/1/Medical Research Council/United Kingdom -- MC_UU_12015/1/Medical Research Council/United Kingdom -- MC_UU_12015/2/Medical Research Council/United Kingdom -- MC_UU_12015/5/Medical Research Council/United Kingdom -- MR/K011480/1/Medical Research Council/United Kingdom -- MR/K013351/1/Medical Research Council/United Kingdom -- P20 MD006899/MD/NIMHD NIH HHS/ -- P30 DK020541/DK/NIDDK NIH HHS/ -- P30 DK020572/DK/NIDDK NIH HHS/ -- P30 GM103341/GM/NIGMS NIH HHS/ -- P60 DK020541/DK/NIDDK NIH HHS/ -- R00 HL094535/HL/NHLBI NIH HHS/ -- R01 AG041517/AG/NIA NIH HHS/ -- R01 DK062370/DK/NIDDK NIH HHS/ -- R01 DK072193/DK/NIDDK NIH HHS/ -- R01 DK075787/DK/NIDDK NIH HHS/ -- R01 DK078150/DK/NIDDK NIH HHS/ -- R01 DK089256/DK/NIDDK NIH HHS/ -- R01 DK093757/DK/NIDDK NIH HHS/ -- R01 HL109946/HL/NHLBI NIH HHS/ -- R01 HL117626/HL/NHLBI NIH HHS/ -- R21 DA027040/DA/NIDA NIH HHS/ -- T32 GM007092/GM/NIGMS NIH HHS/ -- T32 GM067553/GM/NIGMS NIH HHS/ -- T32 HL007055/HL/NHLBI NIH HHS/ -- T32 HL069768/HL/NHLBI NIH HHS/ -- U01 AG049505/AG/NIA NIH HHS/ -- U01 DK062370/DK/NIDDK NIH HHS/ -- U01 HG007416/HG/NHGRI NIH HHS/ -- U01 HG007419/HG/NHGRI NIH HHS/ -- UM1 CA182910/CA/NCI NIH HHS/ -- Z01 HG000024-14/Intramural NIH HHS/ -- England -- Nature. 2015 Feb 12;518(7538):187-96. doi: 10.1038/nature14132.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Public Health and Clinical Medicine, Unit of Medicine, Umea University, 901 87 Umea, Sweden. [2] Department of Clinical Sciences, Genetic &Molecular Epidemiology Unit, Lund University Diabetes Center, Skane University Hosptial, 205 02 Malmo, Sweden. [3] Department of Odontology, Umea University, 901 85 Umea, Sweden. ; Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, D-93053 Regensburg, Germany. ; 1] Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA. [2] Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA. ; Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. ; Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA. ; 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. [2] Estonian Genome Center, University of Tartu, Tartu 51010, Estonia. ; Atherosclerosis Research Unit, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Stockholm 17176, Sweden. ; 1] Divisions of Endocrinology and Genetics and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA. [2] Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA. [3] Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA. [4] Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby 2800, Denmark. ; Estonian Genome Center, University of Tartu, Tartu 51010, Estonia. ; Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA. ; Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA. ; Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA. ; Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA. ; 1] National Heart, Lung, and Blood Institute, the Framingham Heart Study, Framingham Massachusetts 01702, USA. [2] Department of Neurology, Boston University School of Medicine, Boston, Massachusetts 02118, USA. ; 1] Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden. [2] Science for Life Laboratory, Uppsala University, Uppsala 75185, Sweden. [3] Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala 75185, Sweden. ; 1] Science for Life Laboratory, Uppsala University, Uppsala 75185, Sweden. [2] Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala 75185, Sweden. ; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK. ; 1] Estonian Genome Center, University of Tartu, Tartu 51010, Estonia. [2] Divisions of Endocrinology and Genetics and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA. [3] Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA. [4] Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA. ; 1] Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne 1010, Switzerland. [2] Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland. [3] Department of Medical Genetics, University of Lausanne, Lausanne 1005, Switzerland. ; 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. [2] Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK. ; 1] Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, Essen, 45147 Germany. [2] Clinical Epidemiology, Integrated Research and Treatment Center, Center for Sepsis Control and Care (CSCC), Jena University Hospital, Jena 07743, Germany. ; 1] Divisions of Endocrinology and Genetics and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA. [2] Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA. ; Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UK. ; Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA. ; Department of Genetics, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands. ; Department of Internal Medicine, Division of Gastroenterology, and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA. ; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA. ; HudsonAlpha Institute for Biotechnology, Huntsville, Alabama 35806, USA. ; Genetic Epidemiology Unit, Department of Epidemiology, Erasmus MC University Medical Center, 3015 GE Rotterdam, The Netherlands. ; Telethon Institute for Child Health Research, Centre for Child Health Research, The University of Western Australia, Perth, Western Australia 6008, Australia. ; 1] Netherlands Consortium for Healthy Aging (NCHA), Leiden University Medical Center, Leiden 2300 RC, The Netherlands. [2] Department of Molecular Epidemiology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands. ; 1] Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, USA. [2] Kidney Epidemiology and Cost Center, University of Michigan, Ann Arbor, Michigan 48109, USA. ; 1] Department of Statistics &Biostatistics, Rutgers University, Piscataway, New Jersey 08854, USA. [2] Department of Genetics, Rutgers University, Piscataway, New Jersey 08854, USA. ; 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus MC University Medical Center, 3015 GE Rotterdam, The Netherlands. [2] Department of Human Genetics, Leiden University Medical Center, 2333 ZC Leiden, The Netherlands. ; 1] Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA. [2] Cardiology, Department of Specialties of Internal Medicine, Geneva University Hospital, Geneva 1211, Switzerland. ; Department of Genetics, Washington University School of Medicine, St Louis, Missouri 63110, USA. ; 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. [2] Division of Cardiovacular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford OX3 9DU, UK. ; 1] Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland. [2] Department of Medical Genetics, University of Lausanne, Lausanne 1005, Switzerland. [3] University Institute for Social and Preventative Medicine, Centre Hospitalier Universitaire Vaudois (CHUV), University of Lausanne, Lausanne 1005, Switzerland. ; 1] Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, D-68187 Mannheim, Germany. [2] Department of Internal Medicine II, Ulm University Medical Centre, D-89081 Ulm, Germany. ; National Institute for Health and Welfare, FI-00271 Helsinki, Finland. ; Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK. ; Department of Cardiology, University Medical Center Groningen, University of Groningen, 9700RB Groningen, The Netherlands. ; 1] Netherlands Consortium for Healthy Aging (NCHA), 3015GE Rotterdam, The Netherlands. [2] Department of Epidemiology, Erasmus MC University Medical Center, 3015GE Rotterdam, The Netherlands. [3] Department of Internal Medicine, Erasmus MC University Medical Center, 3015GE Rotterdam, The Netherlands. ; Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, Essen, 45147 Germany. ; 1] Netherlands Consortium for Healthy Aging (NCHA), 3015GE Rotterdam, The Netherlands. [2] Department of Internal Medicine, Erasmus MC University Medical Center, 3015GE Rotterdam, The Netherlands. ; 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. [2] Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford OX3 7LJ, UK. [3] Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London W12 0NN, UK. ; University of Eastern Finland, FI-70210 Kuopio, Finland. ; Division of Biostatistics, Washington University School of Medicine, St Louis, Missouri 63110, USA. ; Translational Gerontology Branch, National Institute on Aging, Baltimore, Maryland 21225, USA. ; Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, D-17475 Greifswald, Germany. ; Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands. ; 1] CNRS UMR 8199, F-59019 Lille, France. [2] European Genomic Institute for Diabetes, F-59000 Lille, France. [3] Universite de Lille 2, F-59000 Lille, France. ; 1] Ealing Hospital NHS Trust, Middlesex UB1 3HW, UK. [2] Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK. ; Institute of Genetic Epidemiology, Helmholtz Zentrum Munchen - German Research Center for Environmental Health, D-85764 Neuherberg, Germany. ; 1] Science for Life Laboratory, Uppsala University, Uppsala 75185, Sweden. [2] Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala 75185, Sweden. [3] School of Health and Social Studies, Dalarna University, SE-791 88 Falun, Sweden. ; PathWest Laboratory Medicine of Western Australia, Nedlands, Western Australia 6009, Australia. ; Geriatric Unit, Azienda Sanitaria Firenze (ASF), 50125 Florence, Italy. ; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford OX3 7LJ, UK. ; 1] Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas 78227, USA. [2] Genomics Research Centre, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland 4001, Australia. ; Department of Medical Sciences, Endocrinology, Diabetes and Metabolism, Uppsala University, Uppsala 75185, Sweden. ; 1] Integrated Research and Treatment Center (IFB) Adiposity Diseases, University of Leipzig, D-04103 Leipzig, Germany. [2] Department of Medicine, University of Leipzig, D-04103 Leipzig, Germany. ; 1] Netherlands Consortium for Healthy Aging (NCHA), Leiden University Medical Center, Leiden 2300 RC, The Netherlands. [2] Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands. ; Inserm UMR991, Department of Endocrinology, University of Rennes, F-35000 Rennes, France. ; Integrated Research and Treatment Center (IFB) Adiposity Diseases, University of Leipzig, D-04103 Leipzig, Germany. ; LifeLines Cohort Study, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands. ; USC-Office of Population Studies Foundation, Inc., University of San Carlos, Cebu City 6000, Philippines. ; Department of Biology, Norwegian University of Science and Technology, 7491 Trondheim, Norway. ; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK. ; Information Sciences Institute, University of Southern California, Marina del Rey, California 90292, USA. ; Department of Public Health and Clinical Medicine, Unit of Medicine, Umea University, 901 87 Umea, Sweden. ; Medical Research Institute, University of Dundee, Ninewells Hospital and Medical School, Dundee DD1 9SY, UK. ; 1] National Institute for Health and Welfare, FI-00271 Helsinki, Finland. [2] Institute for Molecular Medicine, University of Helsinki, FI-00014 Helsinki, Finland. ; Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, Maryland 20892, USA. ; 1] Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA. [2] Department of Internal Medicine, Erasmus MC University Medical Center, 3015GE Rotterdam, The Netherlands. [3] Analytic and Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA. ; Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, D-17475 Greifswald, Germany. ; Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, Maryland 20892, USA. ; Department of Public Health and Caring Sciences, Geriatrics, Uppsala University, Uppsala 75185, Sweden. ; Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden, Stockholm 17177, Sweden. ; Kaiser Permanente, Division of Research, Oakland, California 94612, USA. ; Service of Therapeutic Education for Diabetes, Obesity and Chronic Diseases, Geneva University Hospital, Geneva CH-1211, Switzerland. ; 1] Institute of Genetic Epidemiology, Helmholtz Zentrum Munchen - German Research Center for Environmental Health, D-85764 Neuherberg, Germany. [2] Research Unit of Molecular Epidemiology, Helmholtz Zentrum Munchen - German Research Center for Environmental Health, D-85764 Neuherberg, Germany. [3] German Center for Diabetes Research (DZD), D-85764 Neuherberg, Germany. ; Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universitat Dresden, D-01307 Dresden, Germany. ; Department of Public Health and Clinical Medicine, Unit of Nutritional Research, Umea University, Umea 90187, Sweden. ; Department of Psychiatry, University of Groningen, University Medical Center Groningen, 9700RB Groningen, The Netherlands. ; Kuopio Research Institute of Exercise Medicine, FI-70100 Kuopio, Finland. ; MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh EH4 2XU, UK. ; Hjelt Institute Department of Public Health, University of Helsinki, FI-00014 Helsinki, Finland. ; 1] Institute of Biomedicine, University of Oulu, FI-90014 Oulu, Finland. [2] Medical Research Center Oulu and Oulu University Hospital, FI-90014 Oulu, Finland. [3] Biocenter Oulu, University of Oulu, FI-90014 Oulu, Finland. ; 1] Netherlands Consortium for Healthy Aging (NCHA), Leiden University Medical Center, Leiden 2300 RC, The Netherlands. [2] Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands. [3] Faculty of Psychology and Education, VU University Amsterdam, 1081BT Amsterdam, The Netherlands. ; 1] Department of Cardiology, University Medical Center Groningen, University of Groningen, 9700RB Groningen, The Netherlands. [2] Department of Epidemiology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands. ; Department of Public Health and General Practice, Norwegian University of Science and Technology, Trondheim 7489, Norway. ; Cardiovascular Genetics Division, Department of Internal Medicine, University of Utah, Salt Lake City, Utah 84108, USA. ; 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus MC University Medical Center, 3015 GE Rotterdam, The Netherlands. [2] Center for Medical Sytems Biology, 2300 RC Leiden, The Netherlands. ; Institute for Community Medicine, University Medicine Greifswald, D-17475 Greifswald, Germany. ; 1] Department of Pulmonary Physiology and Sleep Medicine, Nedlands, Western Australia 6009, Australia. [2] School of Medicine and Pharmacology, University of Western Australia, Crawley 6009, Australia. ; Department of Odontology, Umea University, 901 85 Umea, Sweden. ; Department of Dietetics-Nutrition, Harokopio University, 17671 Athens, Greece. ; Department of Internal Medicine II, Ulm University Medical Centre, D-89081 Ulm, Germany. ; Department of Internal Medicine I, Ulm University Medical Centre, D-89081 Ulm, Germany. ; Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, 6020 Innsbruck, Austria. ; Institute of Human Genetics, Helmholtz Zentrum Munchen - German Research Center for Environmental Health, D-85764 Neuherberg, Germany. ; Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala 75185, Sweden. ; Centre for Bone and Arthritis Research, Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg 413 45, Sweden. ; Cardiology, Department of Specialties of Internal Medicine, Geneva University Hospital, Geneva 1211, Switzerland. ; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden. ; School of Social and Community Medicine, University of Bristol, Bristol BS8 2BN, UK. ; Division of Endocrinology, Diabetes and Metabolism, Ulm University Medical Centre, D-89081 Ulm, Germany. ; 1] Estonian Genome Center, University of Tartu, Tartu 51010, Estonia. [2] Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia. ; 1] Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK. [2] Farr Institute of Health Informatics Research, University College London, London NW1 2DA, UK. ; 1] Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA. [2] The Center for Observational Research, Amgen, Inc., Thousand Oaks, California 91320, USA. ; 1] Netherlands Consortium for Healthy Aging (NCHA), Leiden University Medical Center, Leiden 2300 RC, The Netherlands. [2] Department of Gerontology and Geriatrics, Leiden University Medical Center, 2300 RC Leiden, The Netherlands. ; 1] Department of Genomics, Life &Brain Center, University of Bonn, 53127 Bonn, Germany. [2] Institute of Human Genetics, University of Bonn, 53127 Bonn, Germany. ; Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, Cagliari, Sardinia 09042, Italy. ; Center for Evidence-based Healthcare, University Hospital Carl Gustav Carus, Technische Universitat Dresden, D-01307 Dresden, Germany. ; 1] Institute of Genetic Epidemiology, Helmholtz Zentrum Munchen - German Research Center for Environmental Health, D-85764 Neuherberg, Germany. [2] Department of Medicine I, University Hospital Grosshadern, Ludwig-Maximilians-Universitat, D-81377 Munich, Germany. [3] Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universitat, D-81377 Munich, Germany. [4] Deutsches Forschungszentrum fur Herz-Kreislauferkrankungen (DZHK) (German Research Centre for Cardiovascular Research), Munich Heart Alliance, D-80636 Munich, Germany. ; Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland 21224, USA. ; Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA. ; Hypertension and Related Diseases Centre - AOU, University of Sassari Medical School, Sassari 07100, Italy. ; Department of Epidemiology, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands. ; 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. [2] Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK. [3] Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford OX3 7LJ, UK. ; Department of Clinical Sciences, Genetic &Molecular Epidemiology Unit, Lund University Diabetes Center, Skane University Hosptial, 205 02 Malmo, Sweden. ; 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. [2] Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford OX3 7LJ, UK. ; Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02215, USA. ; Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz 8036, Austria. ; 1] Atherosclerosis Research Unit, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Stockholm 17176, Sweden. [2] Science for Life Laboratory, Karolinska Institutet, Stockholm 171 65, Sweden. ; Department of Medicine, University of Washington, Seattle, Washington 98101, USA. ; 1] Icelandic Heart Association, Kopavogur 201, Iceland. [2] University of Iceland, Reykjavik 101, Iceland. ; 1] Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK. [2] William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK. ; 1] Science for Life Laboratory, Uppsala University, Uppsala 75185, Sweden. [2] Department of Medical Sciences, Molecular Medicine, Uppsala University, Uppsala 75144, Sweden. ; Department of Public Health Sciences, Stritch School of Medicine, Loyola University of Chicago, Maywood, Illinois 61053, USA. ; 1] German Center for Diabetes Research (DZD), D-85764 Neuherberg, Germany. [2] Institute of Epidemiology II, Helmholtz Zentrum Munchen - German Research Center for Environmental Health, Neuherberg, Germany, D-85764 Neuherberg, Germany. ; deCODE Genetics, Amgen Inc., Reykjavik 101, Iceland. ; Department of Cardiology, Medical University of Graz, Graz 8036, Austria. ; Department of Child and Adolescent Psychiatry, Psychology, Erasmus MC University Medical Centre, 3000 CB Rotterdam, The Netherlands. ; Department of Clinical Chemistry, Ulm University Medical Centre, D-89081 Ulm, Germany. ; Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, 9037 Tromso, Norway. ; MRC Unit for Lifelong Health and Ageing at University College London, London WC1B 5JU, UK. ; Diabetes Complications Research Centre, Conway Institute, School of Medicine and Medical Sciences, University College Dublin, Dublin 4, Ireland. ; Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul 110-799, Korea. ; Cardiothoracic Surgery Unit, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm 17176, Sweden. ; Department of Medicine, Columbia University College of Physicians and Surgeons, New York 10032, USA. ; 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. [2] Science for Life Laboratory, Uppsala University, Uppsala 75185, Sweden. [3] Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala 75185, Sweden. ; 1] Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, Massachusetts 02215, USA. [2] Massachusetts General Hospital, Boston, Massachusetts 02114, USA. ; 1] State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. [2] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA. ; William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK. ; 1] Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford OX3 7LJ, UK. [2] NIHR Oxford Biomedical Research Centre, OUH Trust, Oxford OX3 7LE, UK. ; 1] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA. [2] Harvard School of Public Health, Department of Biostatistics, Harvard University, Boston, Massachusetts 02115, USA. ; Department of Genetics, Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, New Haven, Connecticut 06520, USA. ; 1] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA. [2] College of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning 116026, China. ; Nephrology Research, Centre for Public Health, Queen's University of Belfast, Belfast, County Down BT9 7AB, UK. ; University of Ottawa Heart Institute, Ottawa K1Y 4W7, Canada. ; National Heart and Lung Institute, Imperial College London, London SW3 6LY, UK. ; QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4006, Australia. ; 1] National Heart, Lung, and Blood Institute, the Framingham Heart Study, Framingham Massachusetts 01702, USA. [2] Section of General Internal Medicine, Boston University School of Medicine, Boston, Massachusetts 02118, USA. ; 1] Department of Statistics, University of Oxford, 1 South Parks Road, Oxford OX1 3TG, UK. [2] MRC Harwell, Harwell Science and Innovation Campus, Harwell OX11 0QG, UK. ; 1] QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4006, Australia. [2] Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland 4059, Australia. ; 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. [2] Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UK. [3] Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK. ; 1] Divisions of Endocrinology and Genetics and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 02115, USA. [2] Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA. [3] Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA. ; 1] Department of Biomedical Engineering and Computational Science, Aalto University School of Science, FI-00076 Helsinki, Finland. [2] Department of Medicine, Division of Nephrology, Helsinki University Central Hospital, FI-00290 Helsinki, Finland. [3] Folkhalsan Institute of Genetics, Folkhalsan Research Center, FI-00290 Helsinki, Finland. ; Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York 10580, USA. ; 1] Netherlands Consortium for Healthy Aging (NCHA), Leiden University Medical Center, Leiden 2300 RC, The Netherlands. [2] Department of Internal Medicine, Erasmus MC University Medical Center, 3015GE Rotterdam, The Netherlands. ; Computer Science Department, Tecnologico de Monterrey, Atizapan de Zaragoza, 52926, Mexico. ; 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. [2] Nuffield Department of Obstetrics &Gynaecology, University of Oxford, Oxford OX3 7BN, UK. ; Institut Pasteur de Lille; INSERM, U744; Universite de Lille 2; F-59000 Lille, France. ; Department of Epidemiology and Public Health, EA3430, University of Strasbourg, Faculty of Medicine, Strasbourg, France. ; Department of Internal Medicine, University Medical Center Groningen, University of Groningen, 9700RB Groningen, The Netherlands. ; 1] PathWest Laboratory Medicine of Western Australia, Nedlands, Western Australia 6009, Australia. [2] Pathology and Laboratory Medicine, The University of Western Australia, Perth, Western Australia 6009, Australia. ; Cedars-Sinai Diabetes and Obesity Research Institute, Los Angeles, California 90048, USA. ; Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas 78227, USA. ; Clinical Pharmacology Unit, University of Cambridge, Addenbrooke's Hospital, Hills Road, Cambridge CB2 2QQ, UK. ; Service of Nephrology, Department of Medicine, Lausanne University Hospital (CHUV), Lausanne 1005, Switzerland. ; Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, UK. ; Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA. ; 1] Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, Tennessee 37203, USA. [2] Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee 37232, USA. ; Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK. ; 1] Biological Psychology, VU University Amsterdam, 1081BT Amsterdam, The Netherlands. [2] Institute for Research in Extramural Medicine, Institute for Health and Care Research, VU University, 1081BT Amsterdam, The Netherlands. ; 1] Department of Internal Medicine B, University Medicine Greifswald, D-17475 Greifswald, Germany. [2] DZHK (Deutsches Zentrum fur Herz-Kreislaufforschung - German Centre for Cardiovascular Research), partner site Greifswald, D-17475 Greifswald, Germany. ; Clinic of Cardiology, West-German Heart Centre, University Hospital Essen, 45122 Essen, Germany. ; 1] National Institute for Health and Welfare, FI-00271 Helsinki, Finland. [2] Department of General Practice and Primary Health Care, University of Helsinki, FI-00290 Helsinki, Finland. [3] Unit of General Practice, Helsinki University Central Hospital, Helsinki FI-00290, Finland. ; 1] Department of Internal Medicine, University of Pisa, Pisa 56100, Italy. [2] National Research Council Institute of Clinical Physiology, University of Pisa, Pisa 56124, Italy. ; Department of Cardiology, Toulouse University School of Medicine, Rangueil Hospital, 31400 Toulouse, France. ; UWI Solutions for Developing Countries, The University of the West Indies, Mona, Kingston 7, Jamaica. ; 1] Netherlands Consortium for Healthy Aging (NCHA), 3015GE Rotterdam, The Netherlands. [2] Department of Epidemiology, Erasmus MC University Medical Center, 3015GE Rotterdam, The Netherlands. ; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California 90089, USA. ; Institute of Biomedical &Clinical Science, University of Exeter, Barrack Road, Exeter EX2 5DW, UK. ; Center for Biomedicine, European Academy Bozen, Bolzano (EURAC), Bolzano 39100, Italy (affiliated Institute of the University of Lubeck, D-23562 Lubeck, Germany). ; Institute of Cardiovascular Science, University College London, London WC1E 6BT, UK. ; 1] Institute for Community Medicine, University Medicine Greifswald, D-17475 Greifswald, Germany. [2] DZHK (Deutsches Zentrum fur Herz-Kreislaufforschung - German Centre for Cardiovascular Research), partner site Greifswald, D-17475 Greifswald, Germany. ; Centre for Cardiovascular Genetics, Institute Cardiovascular Sciences, University College London, London WC1E 6JJ, UK. ; 1] Sansom Institute for Health Research, University of South Australia, Adelaide 5000, South Australia, Australia. [2] School of Population Health, University of South Australia, Adelaide 5000, South Australia, Australia. [3] South Australian Health and Medical Research Institute, Adelaide 5000, South Australia, Australia. [4] Population, Policy, and Practice, University College London Institute of Child Health, London WC1N 1EH, UK. ; 1] Research Unit of Molecular Epidemiology, Helmholtz Zentrum Munchen - German Research Center for Environmental Health, D-85764 Neuherberg, Germany. [2] Hannover Unified Biobank, Hannover Medical School, Hannover, D-30625 Hannover, Germany. ; 1] Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK. [2] Biocenter Oulu, University of Oulu, FI-90014 Oulu, Finland. [3] National Institute for Health and Welfare, FI-90101 Oulu, Finland. [4] MRC Health Protection Agency (HPA) Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK. [5] Unit of Primary Care, Oulu University Hospital, FI-90220 Oulu, Finland. [6] Institute of Health Sciences, University of Oulu, FI-90014 Oulu, Finland. ; 1] National Institute for Health and Welfare, FI-00271 Helsinki, Finland. [2] Institute for Molecular Medicine, University of Helsinki, FI-00014 Helsinki, Finland. [3] Hjelt Institute Department of Public Health, University of Helsinki, FI-00014 Helsinki, Finland. ; UK Clinical Research Collaboration Centre of Excellence for Public Health (NI), Queens University of Belfast, Belfast BT7 1NN, Northern Ireland, UK. ; 1] Institute of Health Sciences, Faculty of Medicine, University of Oulu, FI-90014 Oulu, Finland. [2] Unit of Primary Health Care/General Practice, Oulu University Hospital, FI-90220 Oulu, Finland. ; 1] Ealing Hospital NHS Trust, Middlesex UB1 3HW, UK. [2] National Heart and Lung Institute, Imperial College London, London SW3 6LY, UK. [3] Imperial College Healthcare NHS Trust, London W12 0HS, UK. ; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA. ; 1] Department of Epidemiology and Public Health, University College London, London WC1E 6BT, UK. [2] Department of Biological and Social Epidemiology, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ, UK. ; Department of Medicine, Kuopio University Hospital and University of Eastern Finland, FI-70210 Kuopio, Finland. ; 1] Kuopio Research Institute of Exercise Medicine, FI-70100 Kuopio, Finland. [2] Department of Physiology, Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, FI-70211 Kuopio, Finland. [3] Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital and University of Eastern Finland, FI-70210 Kuopio, Finland. ; 1] MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK. [2] Department of Epidemiology and Public Health, University College London, London WC1E 6BT, UK. ; Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii 96813, USA. ; Department of Clinical Chemistry, Fimlab Laboratories and School of Medicine University of Tampere, FI-33520 Tampere, Finland. ; 1] Steno Diabetes Center A/S, Gentofte DK-2820, Denmark. [2] Lund University Diabetes Centre and Department of Clinical Science, Diabetes &Endocrinology Unit, Lund University, Malmo 221 00, Sweden. ; 1] Institut Universitaire de Cardiologie et de Pneumologie de Quebec, Faculty of Medicine, Laval University, Quebec QC G1V 0A6, Canada. [2] Institute of Nutrition and Functional Foods, Laval University, Quebec QC G1V 0A6, Canada. ; Department of Genetics, Rutgers University, Piscataway, New Jersey 08854, USA. ; Department of Biostatistics, University of Washington, Seattle, Washington 98195, USA. ; Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Nedlands, Western Australia 6009, Australia. ; 1] MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK. [2] MRC Unit for Lifelong Health and Ageing at University College London, London WC1B 5JU, UK. ; 1] Epidemiology and Obstetrics &Gynaecology, University of Toronto, Toronto, Ontario M5G 1E2, Canada. [2] Genetic Epidemiology &Biostatistics Platform, Ontario Institute for Cancer Research, Toronto, Ontario M5G 0A3, Canada. ; 1] Institute for Research in Extramural Medicine, Institute for Health and Care Research, VU University, 1081BT Amsterdam, The Netherlands. [2] Department of Psychiatry, Neuroscience Campus, VU University Amsterdam, 1081 BT Amsterdam, The Netherlands. ; 1] Research Unit of Molecular Epidemiology, Helmholtz Zentrum Munchen - German Research Center for Environmental Health, D-85764 Neuherberg, Germany. [2] Deutsches Forschungszentrum fur Herz-Kreislauferkrankungen (DZHK) (German Research Centre for Cardiovascular Research), Munich Heart Alliance, D-80636 Munich, Germany. [3] Institute of Epidemiology II, Helmholtz Zentrum Munchen - German Research Center for Environmental Health, Neuherberg, Germany, D-85764 Neuherberg, Germany. ; 1] Center for Biomedicine, European Academy Bozen, Bolzano (EURAC), Bolzano 39100, Italy (affiliated Institute of the University of Lubeck, D-23562 Lubeck, Germany). [2] Department of Neurology, General Central Hospital, Bolzano 39100, Italy. ; 1] Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, FI-20521 Turku, Finland. [2] Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, FI-20521 Turku, Finland. ; Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana 70808, USA. ; 1] Department of Genetics, Washington University School of Medicine, St Louis, Missouri 63110, USA. [2] Division of Biostatistics, Washington University School of Medicine, St Louis, Missouri 63110, USA. [3] Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri 63110, USA. ; 1] Division of Biostatistics, Washington University School of Medicine, St Louis, Missouri 63110, USA. [2] Department of Psychiatry, Washington University School of Medicine, St Louis, Missouri 63110, USA. ; 1] Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02215, USA. [2] Harvard Medical School, Boston, Massachusetts 02115, USA. ; Center for Systems Genomics, The Pennsylvania State University, University Park, Pennsylvania 16802, USA. ; 1] Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, UK. [2] Croatian Centre for Global Health, Faculty of Medicine, University of Split, 21000 Split, Croatia. ; 1] Department of Cardiovascular Sciences, University of Leicester, Glenfield Hospital, Leicester LE3 9QP, UK. [2] National Institute for Health Research (NIHR) Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK. ; South Carelia Central Hospital, 53130 Lappeenranta, Finland. ; 1] Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universitat Dresden, D-01307 Dresden, Germany. [2] Paul Langerhans Institute Dresden, German Center for Diabetes Research (DZD), 01307 Dresden, Germany. ; 1] Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA. [2] Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA. [3] Geriatric Research and Education Clinical Center, Veterans Administration Medical Center, Baltimore, Maryland 21201, USA. ; 1] Department of Epidemiology, Maastricht University, 6229 HA Maastricht, The Netherlands. [2] Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, B-3000 Leuven, Belgium. ; 1] Institute of Genetic Epidemiology, Helmholtz Zentrum Munchen - German Research Center for Environmental Health, D-85764 Neuherberg, Germany. [2] Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universitat, D-81377 Munich, Germany. ; Department of Kinesiology, Laval University, Quebec, QC G1V 0A6, Canada. ; Dipartimento di Scienze Farmacologiche e Biomolecolari, Universita di Milano &Centro Cardiologico Monzino, Instituto di Ricovero e Cura a Carattere Scientifico, Milan 20133, Italy. ; 1] Institute of Nutrition and Functional Foods, Laval University, Quebec QC G1V 0A6, Canada. [2] Department of Food Science and Nutrition, Laval University, Quebec, QC G1V 0A6, Canada. ; 1] Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, D-17475 Greifswald, Germany. [2] DZHK (Deutsches Zentrum fur Herz-Kreislaufforschung - German Centre for Cardiovascular Research), partner site Greifswald, D-17475 Greifswald, Germany. ; Department of Internal Medicine, University Hospital (CHUV) and University of Lausanne, 1011, Switzerland. ; Department of Epidemiology, Erasmus MC University Medical Center, 3015GE Rotterdam, The Netherlands. ; Department of Nutrition, University of North Carolina, Chapel Hill, North Carolina 27599, USA. ; 1] Institute of Social and Preventive Medicine (IUMSP), Centre Hospitalier Universitaire Vaudois and University of Lausanne, 1010 Lausanne, Switzerland. [2] Ministry of Health, Victoria, Republic of Seychelles. ; 1] Lee Kong Chian School of Medicine, Imperial College London and Nanyang Technological University, Singapore, 637553 Singapore, Singapore. [2] Department of Internal Medicine I, Ulm University Medical Centre, D-89081 Ulm, Germany. ; Department of Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK. ; 1] Ealing Hospital NHS Trust, Middlesex UB1 3HW, UK. [2] Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK. [3] Imperial College Healthcare NHS Trust, London W12 0HS, UK. ; 1] Department of Genomics of Common Disease, School of Public Health, Imperial College London, Hammersmith Hospital, London W12 0NN, UK. [2] CNRS UMR 8199, F-59019 Lille, France. [3] European Genomic Institute for Diabetes, F-59000 Lille, France. [4] Universite de Lille 2, F-59000 Lille, France. ; 1] Department of Psychiatry and Psychotherapy, University Medicine Greifswald, HELIOS-Hospital Stralsund, D-17475 Greifswald, Germany. [2] German Center for Neurodegenerative Diseases (DZNE), Rostock, Greifswald, D-17475 Greifswald, Germany. ; 1] PathWest Laboratory Medicine of Western Australia, Nedlands, Western Australia 6009, Australia. [2] Pathology and Laboratory Medicine, The University of Western Australia, Perth, Western Australia 6009, Australia. [3] School of Population Health, The University of Western Australia, Nedlands, Western Australia 6009, Australia. ; Department of Epidemiology and Public Health, University College London, London WC1E 6BT, UK. ; Center for Human Genetics, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina 27157, USA. ; 1] Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, D-68187 Mannheim, Germany. [2] Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz 8036, Austria. [3] Synlab Academy, Synlab Services GmbH, 68163 Mannheim, Germany. ; 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus MC University Medical Center, 3015 GE Rotterdam, The Netherlands. [2] Center for Medical Sytems Biology, 2300 RC Leiden, The Netherlands. [3] Department of Clinical Genetics, Erasmus MC University Medical Center, 3000 CA Rotterdam, The Netherlands. ; 1] Estonian Genome Center, University of Tartu, Tartu 51010, Estonia. [2] National Institute for Health and Welfare, FI-00271 Helsinki, Finland. [3] Institute for Molecular Medicine, University of Helsinki, FI-00014 Helsinki, Finland. ; 1] Institute of Nutrition and Functional Foods, Laval University, Quebec QC G1V 0A6, Canada. [2] Department of Kinesiology, Laval University, Quebec, QC G1V 0A6, Canada. ; Population, Policy, and Practice, University College London Institute of Child Health, London WC1N 1EH, UK. ; Department of Medicine, Stanford University School of Medicine, Palo Alto, California 94304, USA. ; 1] Kuopio Research Institute of Exercise Medicine, FI-70100 Kuopio, Finland. [2] Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital and University of Eastern Finland, FI-70210 Kuopio, Finland. ; 1] Finnish Diabetes Association, Kirjoniementie 15, FI-33680 Tampere, Finland. [2] Pirkanmaa Hospital District, FI-33521 Tampere, Finland. ; 1] Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK. [2] Center for Non-Communicable Diseases, Karatchi, Pakistan. [3] Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104 USA. ; Helsinki University Central Hospital Heart and Lung Center, Department of Medicine, Helsinki University Central Hospital, FI-00290 Helsinki, Finland. ; 1] deCODE Genetics, Amgen Inc., Reykjavik 101, Iceland. [2] Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland. ; 1] National Institute for Health and Welfare, FI-00271 Helsinki, Finland. [2] Instituto de Investigacion Sanitaria del Hospital Universario LaPaz (IdiPAZ), 28046 Madrid, Spain. [3] Diabetes Research Group, King Abdulaziz University, 21589 Jeddah, Saudi Arabia. [4] Centre for Vascular Prevention, Danube-University Krems, 3500 Krems, Austria. ; 1] Department of Public Health and Clinical Nutrition, University of Eastern Finland, FI-70211 Kuopio, Finland. [2] Research Unit, Kuopio University Hospital, FI-70210 Kuopio, Finland. ; 1] Department of Genetics, University Medical Center Groningen, University of Groningen, 9700 RB Groningen, The Netherlands. [2] Department of Cardiology, University Medical Center Groningen, University of Groningen, 9700RB Groningen, The Netherlands. [3] Durrer Center for Cardiogenetic Research, Interuniversity Cardiology Institute Netherlands-Netherlands Heart Institute, 3501 DG Utrecht, The Netherlands. ; EPIMED Research Center, Department of Clinical and Experimental Medicine, University of Insubria, Varese I-21100, Italy. ; Institute of Cellular Medicine, Newcastle University, Newcastle NE1 7RU, UK. ; 1] Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-Universitat, D-85764 Munich, Germany. [2] Klinikum Grosshadern, D-81377 Munich, Germany. [3] Institute of Epidemiology I, Helmholtz Zentrum Munchen - German Research Center for Environmental Health, Neuherberg, Germany, D-85764 Neuherberg, Germany. ; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA. ; 1] Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK. [2] William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK. [3] Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, 21589 Jeddah, Saudi Arabia. ; 1] Institute for Molecular Medicine, University of Helsinki, FI-00014 Helsinki, Finland. [2] Lund University Diabetes Centre and Department of Clinical Science, Diabetes &Endocrinology Unit, Lund University, Malmo 221 00, Sweden. ; 1] Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA. [2] Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts 02115, USA. [3] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA. ; Albert Einstein College of Medicine, Department of Epidemiology and Population Health, Belfer 1306, New York 10461, USA. ; 1] Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA. [2] Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, Maryland 21201, USA. ; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA. ; Division of Population Health Sciences &Education, St George's, University of London, London SW17 0RE, UK. ; 1] Genetic Epidemiology Unit, Department of Epidemiology, Erasmus MC University Medical Center, 3015 GE Rotterdam, The Netherlands. [2] Netherlands Consortium for Healthy Aging (NCHA), 3015GE Rotterdam, The Netherlands. [3] Department of Epidemiology, Erasmus MC University Medical Center, 3015GE Rotterdam, The Netherlands. [4] Center for Medical Sytems Biology, 2300 RC Leiden, The Netherlands. ; 1] Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA. [2] Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA. [3] Department of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA. ; 1] Queensland Brain Institute, The University of Queensland, Brisbane 4072, Australia. [2] The University of Queensland Diamantina Institute, The Translation Research Institute, Brisbane 4012, Australia. ; 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. [2] Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford OX3 7LJ, UK. [3] Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Trust, Oxford OX3 7LJ, UK. ; 1] Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA. [2] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA. ; National Heart, Lung, and Blood Institute, the Framingham Heart Study, Framingham Massachusetts 01702, USA. ; 1] Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK. [2] University of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB2 OQQ, UK. [3] NIHR Cambridge Biomedical Research Centre, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge CB2 OQQ, UK. ; 1] Department of Public Health and Clinical Medicine, Unit of Medicine, Umea University, 901 87 Umea, Sweden. [2] Department of Clinical Sciences, Genetic &Molecular Epidemiology Unit, Lund University Diabetes Center, Skane University Hosptial, 205 02 Malmo, Sweden. ; 1] Department of Genetic Epidemiology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, D-93053 Regensburg, Germany. [2] Institute of Genetic Epidemiology, Helmholtz Zentrum Munchen - German Research Center for Environmental Health, D-85764 Neuherberg, Germany. ; 1] MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK. [2] The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA. [3] The Genetics of Obesity and Related Metabolic Traits Program, The Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA. [4] The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA. ; 1] Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts 02118, USA. [2] National Heart, Lung, and Blood Institute, the Framingham Heart Study, Framingham Massachusetts 01702, USA. ; 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. [2] Estonian Genome Center, University of Tartu, Tartu 51010, Estonia. [3] Department of Biostatistics, University of Liverpool, Liverpool L69 3GA, UK. ; 1] Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK. [2] Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25673412" target="_blank"〉PubMed〈/a〉

Description: The study of bacterial ion channels has provided fundamental insights into the structural basis of neuronal signalling; however, the native role of ion channels in bacteria has remained elusive. Here we show that ion channels conduct long-range electrical signals within bacterial biofilm communities through spatially propagating waves of potassium. These waves result from a positive feedback loop, in which a metabolic trigger induces release of intracellular potassium, which in turn depolarizes neighbouring cells. Propagating through the biofilm, this wave of depolarization coordinates metabolic states among cells in the interior and periphery of the biofilm. Deletion of the potassium channel abolishes this response. As predicted by a mathematical model, we further show that spatial propagation can be hindered by specific genetic perturbations to potassium channel gating. Together, these results demonstrate a function for ion channels in bacterial biofilms, and provide a prokaryotic paradigm for active, long-range electrical signalling in cellular communities.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Prindle, Arthur -- Liu, Jintao -- Asally, Munehiro -- Ly, San -- Garcia-Ojalvo, Jordi -- Suel, Gurol M -- P50 GM085764/GM/NIGMS NIH HHS/ -- R01GM088428/GM/NIGMS NIH HHS/ -- England -- Nature. 2015 Nov 5;527(7576):59-63. doi: 10.1038/nature15709. Epub 2015 Oct 21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Biological Sciences, University of California San Diego, California 92093, USA. ; Warwick Integrative Synthetic Biology Centre, School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK. ; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Spain.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26503040" target="_blank"〉PubMed〈/a〉

Description: Earth is home to a remarkable diversity of plant forms and life histories, yet comparatively few essential trait combinations have proved evolutionarily viable in today's terrestrial biosphere. By analysing worldwide variation in six major traits critical to growth, survival and reproduction within the largest sample of vascular plant species ever compiled, we found that occupancy of six-dimensional trait space is strongly concentrated, indicating coordination and trade-offs. Three-quarters of trait variation is captured in a two-dimensional global spectrum of plant form and function. One major dimension within this plane reflects the size of whole plants and their parts; the other represents the leaf economics spectrum, which balances leaf construction costs against growth potential. The global plant trait spectrum provides a backdrop for elucidating constraints on evolution, for functionally qualifying species and ecosystems, and for improving models that predict future vegetation based on continuous variation in plant form and function.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Diaz, Sandra -- Kattge, Jens -- Cornelissen, Johannes H C -- Wright, Ian J -- Lavorel, Sandra -- Dray, Stephane -- Reu, Bjorn -- Kleyer, Michael -- Wirth, Christian -- Prentice, I Colin -- Garnier, Eric -- Bonisch, Gerhard -- Westoby, Mark -- Poorter, Hendrik -- Reich, Peter B -- Moles, Angela T -- Dickie, John -- Gillison, Andrew N -- Zanne, Amy E -- Chave, Jerome -- Wright, S Joseph -- Sheremet'ev, Serge N -- Jactel, Herve -- Baraloto, Christopher -- Cerabolini, Bruno -- Pierce, Simon -- Shipley, Bill -- Kirkup, Donald -- Casanoves, Fernando -- Joswig, Julia S -- Gunther, Angela -- Falczuk, Valeria -- Ruger, Nadja -- Mahecha, Miguel D -- Gorne, Lucas D -- England -- Nature. 2016 Jan 14;529(7585):167-71. doi: 10.1038/nature16489. Epub 2015 Dec 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Instituto Multidisciplinario de Biologia Vegetal (IMBIV), CONICET and FCEFyN, Universidad Nacional de Cordoba, Casilla de Correo 495, 5000 Cordoba, Argentina. ; Max Planck Institute for Biogeochemistry, Hans-Knoll-Strasse 10, 07745 Jena, Germany. ; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany. ; Systems Ecology, Department of Ecological Science, Vrije Universiteit, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands. ; Department of Biological Sciences, Macquarie University, Sydney, New South Wales 2109, Australia. ; Laboratoire d'Ecologie Alpine, UMR 5553, CNRS - Universite Grenoble Alpes, 38041 Grenoble Cedex 9, France. ; Laboratoire de Biometrie et Biologie Evolutive, UMR5558, Universite Lyon 1, CNRS, F-69622 Villeurbanne, France. ; Institute of Biology, University of Leipzig, Johannisallee 21, 04103 Leipzig, Germany. ; Escuela de Biologia, Universidad Industrial de Santander, Cra. 27 Calle 9, 680002 Bucaramanga, Colombia. ; Landscape Ecology Group, Institute of Biology and Environmental Sciences, University of Oldenburg, D-26111 Oldenburg, Germany. ; Department of Systematic Botany and Functional Biodiversity, University of Leipzig, Johannisallee 21, 04103 Leipzig, Germany. ; AXA Chair in Biosphere and Climate Impacts, Grand Challenges in Ecosystems and the Environment and Grantham Institute - Climate Change and the Environment, Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot SL5 7PY, UK. ; Centre d'Ecologie Fonctionnelle et Evolutive (UMR 5175), CNRS-Universite de Montpellier - Universite Paul-Valery Montpellier - EPHE, 34293 Montpellier Cedex 5, France. ; Plant Sciences (IBG-2), Forschungszentrum Julich GmbH, D-52425 Julich, Germany. ; Department of Forest Resources, University of Minnesota, St Paul, Minnesota 55108, USA. ; Hawkesbury Institute for the Environment, University of Western Sydney, Penrith New South Wales 2751, Australia. ; Evolution &Ecology Research Centre, School of Biological, Earth and Environmental Sciences, UNSW Australia, Sydney, New South Wales 2052, Australia. ; Collections , The Royal Botanic Gardens Kew, Wakehurst Place, Ardingly, West Sussex, RH17 6TN, UK. ; Center for Biodiversity Management, P.O. Box 120, Yungaburra, Queensland 4884, Australia. ; Department of Biological Sciences, George Washington University, Washington DC 20052, USA. ; Center for Conservation and Sustainable Development, Missouri Botanical Garden, St Louis, Missouri 63121, USA. ; UMR 5174 Laboratoire Evolution et Diversite Biologique, CNRS &Universite Paul Sabatier, Toulouse 31062, France. ; Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, Ancon, Panama. ; Komarov Botanical Institute, Prof. Popov Street 2, St Petersburg 197376, Russia. ; INRA, UMR1202 BIOGECO, F-33610 Cestas, France. ; Universite de Bordeaux, BIOGECO, UMR 1202, F-33600 Pessac, France. ; International Center for Tropical Botany, Department of Biological Sciences, Florida International University, Miami, Florida 33199, USA. ; INRA, UMR Ecologie des Forets de Guyane, 97310 Kourou, French Guiana. ; Department of Theoretical and Applied Sciences, University of Insubria, Via J.H. Dunant 3, I-21100 Varese, Italy. ; Department of Agricultural and Environmental Sciences (DiSAA), University of Milan, Via G. Celoria 2, I-20133 Milan, Italy. ; Departement de biologie, Universite de Sherbrooke, Sherbrooke, Quebec J1K 2R1, Canada. ; Biodiversity Informatics and Spatial Analysis, Jodrell Building, The Royal Botanic Gardens Kew, Richmond TW9 3AB, UK. ; Unidad de Bioestadistica, Centro Agronomico Tropical de Investigacion y Ensenanza (CATIE), 7170 Turrialba, 30501, Costa Rica.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26700811" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉England -- Nature. 2015 Mar 26;519(7544):389. doi: 10.1038/519389a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25810167" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Savage, Neil -- England -- Nature. 2015 May 21;521(7552):S64-5. doi: 10.1038/521S64a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25992677" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cressey, Daniel -- England -- Nature. 2015 Jan 15;517(7534):255-6. doi: 10.1038/517255a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25592514" target="_blank"〉PubMed〈/a〉

Description: Initiation of cellular DNA replication is tightly controlled to sustain genomic integrity. In eukaryotes, the heterohexameric origin recognition complex (ORC) is essential for coordinating replication onset. Here we describe the crystal structure of Drosophila ORC at 3.5 A resolution, showing that the 270 kilodalton initiator core complex comprises a two-layered notched ring in which a collar of winged-helix domains from the Orc1-5 subunits sits atop a layer of AAA+ (ATPases associated with a variety of cellular activities) folds. Although canonical inter-AAA+ domain interactions exist between four of the six ORC subunits, unanticipated features are also evident. These include highly interdigitated domain-swapping interactions between the winged-helix folds and AAA+ modules of neighbouring protomers, and a quasi-spiral arrangement of DNA binding elements that circumnavigate an approximately 20 A wide channel in the centre of the complex. Comparative analyses indicate that ORC encircles DNA, using its winged-helix domain face to engage the mini-chromosome maintenance 2-7 (MCM2-7) complex during replicative helicase loading; however, an observed out-of-plane rotation of more than 90 degrees for the Orc1 AAA+ domain disrupts interactions with catalytic amino acids in Orc4, narrowing and sealing off entry into the central channel. Prima facie, our data indicate that Drosophila ORC can switch between active and autoinhibited conformations, suggesting a novel means for cell cycle and/or developmental control of ORC functions.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4368505/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4368505/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bleichert, Franziska -- Botchan, Michael R -- Berger, James M -- CA R37-30490/CA/NCI NIH HHS/ -- GM071747/GM/NIGMS NIH HHS/ -- R01 GM071747/GM/NIGMS NIH HHS/ -- England -- Nature. 2015 Mar 19;519(7543):321-6. doi: 10.1038/nature14239. Epub 2015 Mar 11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biophysics and Biophysical Chemistry, Johns Hopkins School of Medicine, Baltimore, Maryland 21205, USA. ; Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, California 94720, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25762138" target="_blank"〉PubMed〈/a〉

Description: Classical sexual selection theory provides a well-supported conceptual framework for understanding the evolution and signalling function of male ornaments. It predicts that males obtain greater fitness benefits than females through multiple mating because sperm are cheaper to produce than eggs. Sexual selection should therefore lead to the evolution of male-biased secondary sexual characters. However, females of many species are also highly ornamented. The view that this is due to a correlated genetic response to selection on males was widely accepted as an explanation for female ornamentation for over 100 years and current theoretical and empirical evidence suggests that genetic constraints can limit sex-specific trait evolution. Alternatively, female ornamentation can be the outcome of direct selection for signalling needs. Since few studies have explored interspecific patterns of both male and female elaboration, our understanding of the evolution of animal ornamentation remains incomplete, especially over broad taxonomic scales. Here we use a new method to quantify plumage colour of all ~6,000 species of passerine birds to determine the main evolutionary drivers of ornamental colouration in both sexes. We found that conspecific male and female colour elaboration are strongly correlated, suggesting that evolutionary changes in one sex are constrained by changes in the other sex. Both sexes are more ornamented in larger species and in species living in tropical environments. Ornamentation in females (but not males) is increased in cooperative breeders--species in which female-female competition for reproductive opportunities and other resources related to breeding may be high. Finally, strong sexual selection on males has antagonistic effects, causing an increase in male colouration but a considerably more pronounced reduction in female ornamentation. Our results indicate that although there may be genetic constraints to sexually independent colour evolution, both female and male ornamentation are strongly and often differentially related to morphological, social and life-history variables.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Dale, James -- Dey, Cody J -- Delhey, Kaspar -- Kempenaers, Bart -- Valcu, Mihai -- England -- Nature. 2015 Nov 19;527(7578):367-70. doi: 10.1038/nature15509. Epub 2015 Nov 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute of Natural &Mathematical Sciences, Massey University, Auckland 0745, New Zealand. ; Department of Biology, McMaster University, 1280 Main St. West, Hamilton, Ontario L8S 4K1, Canada. ; School of Biological Sciences, Monash University, Victoria 3800, Australia. ; Max Planck Institute for Ornithology, Am Obstberg 1, 78315 Radolfzell, Germany. ; Department of Behavioural Ecology and Evolutionary Genetics, Max Planck Institute for Ornithology, Eberhard Gwinner Str, 82319 Seewiesen, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26536112" target="_blank"〉PubMed〈/a〉

Description: Human activities, especially conversion and degradation of habitats, are causing global biodiversity declines. How local ecological assemblages are responding is less clear--a concern given their importance for many ecosystem functions and services. We analysed a terrestrial assemblage database of unprecedented geographic and taxonomic coverage to quantify local biodiversity responses to land use and related changes. Here we show that in the worst-affected habitats, these pressures reduce within-sample species richness by an average of 76.5%, total abundance by 39.5% and rarefaction-based richness by 40.3%. We estimate that, globally, these pressures have already slightly reduced average within-sample richness (by 13.6%), total abundance (10.7%) and rarefaction-based richness (8.1%), with changes showing marked spatial variation. Rapid further losses are predicted under a business-as-usual land-use scenario; within-sample richness is projected to fall by a further 3.4% globally by 2100, with losses concentrated in biodiverse but economically poor countries. Strong mitigation can deliver much more positive biodiversity changes (up to a 1.9% average increase) that are less strongly related to countries' socioeconomic status.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Newbold, Tim -- Hudson, Lawrence N -- Hill, Samantha L L -- Contu, Sara -- Lysenko, Igor -- Senior, Rebecca A -- Borger, Luca -- Bennett, Dominic J -- Choimes, Argyrios -- Collen, Ben -- Day, Julie -- De Palma, Adriana -- Diaz, Sandra -- Echeverria-Londono, Susy -- Edgar, Melanie J -- Feldman, Anat -- Garon, Morgan -- Harrison, Michelle L K -- Alhusseini, Tamera -- Ingram, Daniel J -- Itescu, Yuval -- Kattge, Jens -- Kemp, Victoria -- Kirkpatrick, Lucinda -- Kleyer, Michael -- Correia, David Laginha Pinto -- Martin, Callum D -- Meiri, Shai -- Novosolov, Maria -- Pan, Yuan -- Phillips, Helen R P -- Purves, Drew W -- Robinson, Alexandra -- Simpson, Jake -- Tuck, Sean L -- Weiher, Evan -- White, Hannah J -- Ewers, Robert M -- Mace, Georgina M -- Scharlemann, Jorn P W -- Purvis, Andy -- BB/F017324/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- England -- Nature. 2015 Apr 2;520(7545):45-50. doi: 10.1038/nature14324.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] United Nations Environment Programme World Conservation Monitoring Centre, 219 Huntingdon Road, Cambridge CB3 0DL, UK. [2] Computational Science Laboratory, Microsoft Research Cambridge, 21 Station Road, Cambridge CB1 2FB, UK. ; Department of Life Sciences, Natural History Museum, Cromwell Road, London SW7 5BD, UK. ; 1] United Nations Environment Programme World Conservation Monitoring Centre, 219 Huntingdon Road, Cambridge CB3 0DL, UK. [2] Department of Life Sciences, Natural History Museum, Cromwell Road, London SW7 5BD, UK. ; Department of Life Sciences, Imperial College London, Silwood Park, London SL5 7PY, UK. ; United Nations Environment Programme World Conservation Monitoring Centre, 219 Huntingdon Road, Cambridge CB3 0DL, UK. ; Department of Biosciences, College of Science, Swansea University, Singleton Park, Swansea SA2 8PP, UK. ; 1] Department of Life Sciences, Natural History Museum, Cromwell Road, London SW7 5BD, UK. [2] Department of Life Sciences, Imperial College London, Silwood Park, London SL5 7PY, UK. ; Department of Genetics, Evolution and Environment, Centre for Biodiversity and Environment Research, University College London, Gower Street, London WC1E 6BT, UK. ; Instituto Multidisciplinario de Biologia Vegetal (CONICET-UNC) and FCEFyN, Universidad Nacional de Cordoba, Casilla de Correo 495, 5000 Cordoba, Argentina. ; Deptartment of Zoology, Faculty of Life Sciences, Tel-Aviv University, 6997801 Tel Aviv, Israel. ; 1] Max Planck Institute for Biogeochemistry, Hans Knoll Strasse 10, 07743 Jena, Germany. [2] German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany. ; Landscape Ecology Group, Institute of Biology and Environmental Sciences, University of Oldenburg, D-26111 Oldenburg, Germany. ; Computational Science Laboratory, Microsoft Research Cambridge, 21 Station Road, Cambridge CB1 2FB, UK. ; Department of Plant Sciences, University of Oxford, Oxford OX1 3RB, UK. ; Biology Department, University of Wisconsin-Eau Claire, Eau Claire, Wisconsin 54701, USA. ; 1] United Nations Environment Programme World Conservation Monitoring Centre, 219 Huntingdon Road, Cambridge CB3 0DL, UK. [2] School of Life Sciences, University of Sussex, Brighton BN1 9QG, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25832402" target="_blank"〉PubMed〈/a〉

Description: During bacterial growth, a cell approximately doubles in size before division, after which it splits into two daughter cells. This process is subjected to the inherent perturbations of cellular noise and thus requires regulation for cell-size homeostasis. The mechanisms underlying the control and dynamics of cell size remain poorly understood owing to the difficulty in sizing individual bacteria over long periods of time in a high-throughput manner. Here we measure and analyse long-term, single-cell growth and division across different Escherichia coli strains and growth conditions. We show that a subset of cells in a population exhibit transient oscillations in cell size with periods that stretch across several (more than ten) generations. Our analysis reveals that a simple law governing cell-size control-a noisy linear map-explains the origins of these cell-size oscillations across all strains. This noisy linear map implements a negative feedback on cell-size control: a cell with a larger initial size tends to divide earlier, whereas one with a smaller initial size tends to divide later. Combining simulations of cell growth and division with experimental data, we demonstrate that this noisy linear map generates transient oscillations, not just in cell size, but also in constitutive gene expression. Our work provides new insights into the dynamics of bacterial cell-size regulation with implications for the physiological processes involved.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tanouchi, Yu -- Pai, Anand -- Park, Heungwon -- Huang, Shuqiang -- Stamatov, Rumen -- Buchler, Nicolas E -- You, Lingchong -- DP2 OD008654/OD/NIH HHS/ -- DP2 OD008654-01/OD/NIH HHS/ -- R01GM098642/GM/NIGMS NIH HHS/ -- R01GM110494/GM/NIGMS NIH HHS/ -- England -- Nature. 2015 Jul 16;523(7560):357-60. doi: 10.1038/nature14562. Epub 2015 Jun 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, USA. ; 1] Department of Physics, Duke University, Durham, North Carolina 27708, USA [2] Department of Biology, Duke University, Durham, North Carolina 27708, USA. ; Computational Biology and Bioinformatics, Duke University, Durham, North Carolina 27708, USA. ; 1] Department of Physics, Duke University, Durham, North Carolina 27708, USA [2] Department of Biology, Duke University, Durham, North Carolina 27708, USA [3] Center for Genomic and Computational Biology, Duke University, Durham, North Carolina 27708, USA. ; 1] Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, USA [2] Center for Genomic and Computational Biology, Duke University, Durham, North Carolina 27708, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26040722" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shen, Michael M -- P01 CA154293/CA/NCI NIH HHS/ -- England -- Nature. 2015 Apr 16;520(7547):298-9. doi: 10.1038/nature14377. Epub 2015 Apr 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Departments of Medicine, of Genetics and Development, of Urology and of Systems Biology, and at the Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, New York 10032, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25830892" target="_blank"〉PubMed〈/a〉

Description: Transitional fossils informing the origin of turtles are among the most sought-after discoveries in palaeontology. Despite strong genomic evidence indicating that turtles evolved from within the diapsid radiation (which includes all other living reptiles), evidence of the inferred transformation between an ancestral turtle with an open, diapsid skull to the closed, anapsid condition of modern turtles remains elusive. Here we use high-resolution computed tomography and a novel character/taxon matrix to study the skull of Eunotosaurus africanus, a 260-million-year-old fossil reptile from the Karoo Basin of South Africa, whose distinctive postcranial skeleton shares many unique features with the shelled body plan of turtles. Scepticism regarding the status of Eunotosaurus as the earliest stem turtle arises from the possibility that these shell-related features are the products of evolutionary convergence. Our phylogenetic analyses indicate strong cranial support for Eunotosaurus as a critical transitional form in turtle evolution, thus fortifying a 40-million-year extension to the turtle stem and moving the ecological context of its origin back onto land. Furthermore, we find unexpected evidence that Eunotosaurus is a diapsid reptile in the process of becoming secondarily anapsid. This is important because categorizing the skull based on the number of openings in the complex of dermal bone covering the adductor chamber has long held sway in amniote systematics, and still represents a common organizational scheme for teaching the evolutionary history of the group. These discoveries allow us to articulate a detailed and testable hypothesis of fenestral closure along the turtle stem. Our results suggest that Eunotosaurus represents a crucially important link in a chain that will eventually lead to consilience in reptile systematics, paving the way for synthetic studies of amniote evolution and development.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bever, G S -- Lyson, Tyler R -- Field, Daniel J -- Bhullar, Bhart-Anjan S -- England -- Nature. 2015 Sep 10;525(7568):239-42. doi: 10.1038/nature14900. Epub 2015 Sep 2.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Anatomy, New York Institute of Technology, College of Osteopathic Medicine, Old Westbury, New York 11568, USA. ; Division of Paleontology, American Museum of Natural History, New York, New York 10024, USA. ; Evolutionary Studies Institute, University of the Witwatersrand, Private Bag 3, P.O. WITS, Johannesburg 2050, South Africa. ; Department of Earth Sciences, Denver Museum of Nature and Science, Denver, Colorado 80205, USA. ; Department of Geology &Geophysics and Peabody Museum of Natural History, Yale University, New Haven, Connecticut 06520, USA. ; Department of Organismal Biology and Anatomy, University of Chicago, Chicago, Illinois 60637, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26331544" target="_blank"〉PubMed〈/a〉

Description: Alveoli are gas-exchange sacs lined by squamous alveolar type (AT) 1 cells and cuboidal, surfactant-secreting AT2 cells. Classical studies suggested that AT1 arise from AT2 cells, but recent studies propose other sources. Here we use molecular markers, lineage tracing and clonal analysis to map alveolar progenitors throughout the mouse lifespan. We show that, during development, AT1 and AT2 cells arise directly from a bipotent progenitor, whereas after birth new AT1 cells derive from rare, self-renewing, long-lived, mature AT2 cells that produce slowly expanding clonal foci of alveolar renewal. This stem-cell function is broadly activated by AT1 injury, and AT2 self-renewal is selectively induced by EGFR (epidermal growth factor receptor) ligands in vitro and oncogenic Kras(G12D) in vivo, efficiently generating multifocal, clonal adenomas. Thus, there is a switch after birth, when AT2 cells function as stem cells that contribute to alveolar renewal, repair and cancer. We propose that local signals regulate AT2 stem-cell activity: a signal transduced by EGFR-KRAS controls self-renewal and is hijacked during oncogenesis, whereas another signal controls reprogramming to AT1 fate.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4013278/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4013278/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Desai, Tushar J -- Brownfield, Douglas G -- Krasnow, Mark A -- P30 CA124435/CA/NCI NIH HHS/ -- U01 HL099995/HL/NHLBI NIH HHS/ -- U01 HL099999/HL/NHLBI NIH HHS/ -- England -- Nature. 2014 Mar 13;507(7491):190-4. doi: 10.1038/nature12930. Epub 2014 Feb 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Biochemistry and Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California 94305-5307, USA [2] Department of Internal Medicine, Division of Pulmonary and Critical Care, Stanford University School of Medicine, Stanford, California 94305-5307, USA. ; Department of Biochemistry and Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California 94305-5307, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24499815" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gibney, Elizabeth -- England -- Nature. 2014 May 29;509(7502):544-5. doi: 10.1038/509544a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24870523" target="_blank"〉PubMed〈/a〉

Description: The equilibrium theory of island biogeography is the basis for estimating extinction rates and a pillar of conservation science. The default strategy for conserving biodiversity is the designation of nature reserves, treated as islands in an inhospitable sea of human activity. Despite the profound influence of islands on conservation theory and practice, their mainland analogues, forest fragments in human-dominated landscapes, consistently defy expected biodiversity patterns based on island biogeography theory. Countryside biogeography is an alternative framework, which recognizes that the fate of the world's wildlife will be decided largely by the hospitality of agricultural or countryside ecosystems. Here we directly test these biogeographic theories by comparing a Neotropical countryside ecosystem with a nearby island ecosystem, and show that each supports similar bat biodiversity in fundamentally different ways. The island ecosystem conforms to island biogeographic predictions of bat species loss, in which the water matrix is not habitat. In contrast, the countryside ecosystem has high species richness and evenness across forest reserves and smaller forest fragments. Relative to forest reserves and fragments, deforested countryside habitat supports a less species-rich, yet equally even, bat assemblage. Moreover, the bat assemblage associated with deforested habitat is compositionally novel because of predictable changes in abundances by many species using human-made habitat. Finally, we perform a global meta-analysis of bat biogeographic studies, spanning more than 700 species. It generalizes our findings, showing that separate biogeographic theories for countryside and island ecosystems are necessary. A theory of countryside biogeography is essential to conservation strategy in the agricultural ecosystems that comprise roughly half of the global land surface and are likely to increase even further.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mendenhall, Chase D -- Karp, Daniel S -- Meyer, Christoph F J -- Hadly, Elizabeth A -- Daily, Gretchen C -- England -- Nature. 2014 May 8;509(7499):213-7. doi: 10.1038/nature13139. Epub 2014 Apr 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Center for Conservation Biology, Stanford University, Stanford, California 94305, USA [2] Department of Biology, Stanford University, Stanford, California 94305, USA. ; 1] Center for Conservation Biology, Stanford University, Stanford, California 94305, USA [2] Department of Biology, Stanford University, Stanford, California 94305, USA [3] Department of Environmental Science, Policy & Management, University of California, Berkeley, California 94720, USA [4] The Nature Conservancy, Berkeley, California 94705, USA. ; 1] Institute of Experimental Ecology, University of Ulm, 89069 Ulm, Germany [2] Centre for Environmental Biology, University of Lisbon, 1749-016 Lisbon, Portugal. ; Department of Biology, Stanford University, Stanford, California 94305, USA. ; 1] Center for Conservation Biology, Stanford University, Stanford, California 94305, USA [2] Department of Biology, Stanford University, Stanford, California 94305, USA [3] Woods Institute for the Environment, Stanford University, Stanford, California 94305, USA [4] Global Economic Dynamics and the Biosphere, Royal Swedish Academy of Sciences, Stockholm, SE-104 05, Sweden [5] Stockholm Resilience Centre, University of Stockholm, Stockholm, SE-106 91, Sweden.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24739971" target="_blank"〉PubMed〈/a〉

Description: Advances in our understanding of the mechanisms that bring about the resolution of acute inflammation have uncovered a new genus of pro-resolving lipid mediators that include the lipoxin, resolvin, protectin and maresin families, collectively called specialized pro-resolving mediators. Synthetic versions of these mediators have potent bioactions when administered in vivo. In animal experiments, the mediators evoke anti-inflammatory and novel pro-resolving mechanisms, and enhance microbial clearance. Although they have been identified in inflammation resolution, specialized pro-resolving mediators are conserved structures that also function in host defence, pain, organ protection and tissue remodelling. This Review covers the mechanisms of specialized pro-resolving mediators and omega-3 essential fatty acid pathways that could help us to understand their physiological functions.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4263681/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4263681/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Serhan, Charles N -- P01 GM095467/GM/NIGMS NIH HHS/ -- P01GM095467/GM/NIGMS NIH HHS/ -- R01 GM038765/GM/NIGMS NIH HHS/ -- R01GM038765/GM/NIGMS NIH HHS/ -- England -- Nature. 2014 Jun 5;510(7503):92-101. doi: 10.1038/nature13479.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Experimental Therapeutics and Reperfusion Injury, Department of Anesthesiology, Perioperative and Pain Medicine, Harvard Institutes of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24899309" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Whitty, Christopher J M -- Farrar, Jeremy -- Ferguson, Neil -- Edmunds, W John -- Piot, Peter -- Leach, Melissa -- Davies, Sally C -- England -- Nature. 2014 Nov 13;515(7526):192-4. doi: 10.1038/515192a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25391946" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Callaway, Ewen -- England -- Nature. 2014 Dec 11;516(7530):157. doi: 10.1038/516157a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25503215" target="_blank"〉PubMed〈/a〉

Description: Nitrate is a primary nutrient for plant growth, but its levels in soil can fluctuate by several orders of magnitude. Previous studies have identified Arabidopsis NRT1.1 as a dual-affinity nitrate transporter that can take up nitrate over a wide range of concentrations. The mode of action of NRT1.1 is controlled by phosphorylation of a key residue, Thr 101; however, how this post-translational modification switches the transporter between two affinity states remains unclear. Here we report the crystal structure of unphosphorylated NRT1.1, which reveals an unexpected homodimer in the inward-facing conformation. In this low-affinity state, the Thr 101 phosphorylation site is embedded in a pocket immediately adjacent to the dimer interface, linking the phosphorylation status of the transporter to its oligomeric state. Using a cell-based fluorescence resonance energy transfer assay, we show that functional NRT1.1 dimerizes in the cell membrane and that the phosphomimetic mutation of Thr 101 converts the protein into a monophasic high-affinity transporter by structurally decoupling the dimer. Together with analyses of the substrate transport tunnel, our results establish a phosphorylation-controlled dimerization switch that allows NRT1.1 to uptake nitrate with two distinct affinity modes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3968801/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3968801/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sun, Ji -- Bankston, John R -- Payandeh, Jian -- Hinds, Thomas R -- Zagotta, William N -- Zheng, Ning -- NS074545/NS/NINDS NIH HHS/ -- R01EY10329/EY/NEI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Mar 6;507(7490):73-7. doi: 10.1038/nature13074. Epub 2014 Feb 26.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pharmacology, Box 357280, University of Washington, Seattle, Washington 98195, USA. ; Department of Physiology and Biophysics, Box 357290, University of Washington, Seattle, Washington 98195, USA. ; 1] Department of Pharmacology, Box 357280, University of Washington, Seattle, Washington 98195, USA [2] Department of Structural Biology, Genentech Inc., South San Francisco, California 94080, USA. ; 1] Department of Pharmacology, Box 357280, University of Washington, Seattle, Washington 98195, USA [2] Howard Hughes Medical Institute, Box 357280, University of Washington, Seattle, Washington 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24572362" target="_blank"〉PubMed〈/a〉

Description: For centuries, biogeographers have examined the factors that produce patterns of biodiversity across regions. The study of islands has proved particularly fruitful and has led to the theory that geographic area and isolation influence species colonization, extinction and speciation such that larger islands have more species and isolated islands have fewer species (that is, positive species-area and negative species-isolation relationships). However, experimental tests of this theory have been limited, owing to the difficulty in experimental manipulation of islands at the scales at which speciation and long-distance colonization are relevant. Here we have used the human-aided transport of exotic anole lizards among Caribbean islands as such a test at an appropriate scale. In accord with theory, as anole colonizations have increased, islands impoverished in native species have gained the most exotic species, the past influence of speciation on island biogeography has been obscured, and the species-area relationship has strengthened while the species-isolation relationship has weakened. Moreover, anole biogeography increasingly reflects anthropogenic rather than geographic processes. Unlike the island biogeography of the past that was determined by geographic area and isolation, in the Anthropocene--an epoch proposed for the present time interval--island biogeography is dominated by the economic isolation of human populations.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Helmus, Matthew R -- Mahler, D Luke -- Losos, Jonathan B -- England -- Nature. 2014 Sep 25;513(7519):543-6. doi: 10.1038/nature13739.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Amsterdam Global Change Institute, Department of Animal Ecology, Vrije Universiteit, 1081 HV Amsterdam, The Netherlands. ; Center for Population Biology, University of California, Davis, California 95616, USA. ; Department of Organismic and Evolutionary Biology and Museum of Comparative Zoology, Harvard University, Cambridge, Massachusetts 02138, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25254475" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Spinney, Laura -- England -- Nature. 2014 Jun 5;510(7503):26-8. doi: 10.1038/510026a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24899289" target="_blank"〉PubMed〈/a〉

Description: To resolve the mechanisms that switch competition to cooperation is key to understanding biological organization. This is particularly relevant for intrasexual competition, which often leads to males harming females. Recent theory proposes that kin selection may modulate female harm by relaxing competition among male relatives. Here we experimentally manipulate the relatedness of groups of male Drosophila melanogaster competing over females to demonstrate that, as expected, within-group relatedness inhibits male competition and female harm. Females exposed to groups of three brothers unrelated to the female had higher lifetime reproductive success and slower reproductive ageing compared to females exposed to groups of three males unrelated to each other. Triplets of brothers also fought less with each other, courted females less intensively and lived longer than triplets of unrelated males. However, associations among brothers may be vulnerable to invasion by minorities of unrelated males: when two brothers were matched with an unrelated male, the unrelated male sired on average twice as many offspring as either brother. These results demonstrate that relatedness can profoundly affect fitness through its modulation of intrasexual competition, as flies plastically adjust sexual behaviour in a manner consistent with kin-selection theory.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Carazo, Pau -- Tan, Cedric K W -- Allen, Felicity -- Wigby, Stuart -- Pizzari, Tommaso -- Wellcome Trust/United Kingdom -- England -- Nature. 2014 Jan 30;505(7485):672-5. doi: 10.1038/nature12949. Epub 2014 Jan 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Edward Grey Institute, Department of Zoology, University of Oxford, Oxford OX1 3PS, UK [2]. ; Edward Grey Institute, Department of Zoology, University of Oxford, Oxford OX1 3PS, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24463521" target="_blank"〉PubMed〈/a〉

Description: Forests are major components of the global carbon cycle, providing substantial feedback to atmospheric greenhouse gas concentrations. Our ability to understand and predict changes in the forest carbon cycle--particularly net primary productivity and carbon storage--increasingly relies on models that represent biological processes across several scales of biological organization, from tree leaves to forest stands. Yet, despite advances in our understanding of productivity at the scales of leaves and stands, no consensus exists about the nature of productivity at the scale of the individual tree, in part because we lack a broad empirical assessment of whether rates of absolute tree mass growth (and thus carbon accumulation) decrease, remain constant, or increase as trees increase in size and age. Here we present a global analysis of 403 tropical and temperate tree species, showing that for most species mass growth rate increases continuously with tree size. Thus, large, old trees do not act simply as senescent carbon reservoirs but actively fix large amounts of carbon compared to smaller trees; at the extreme, a single big tree can add the same amount of carbon to the forest within a year as is contained in an entire mid-sized tree. The apparent paradoxes of individual tree growth increasing with tree size despite declining leaf-level and stand-level productivity can be explained, respectively, by increases in a tree's total leaf area that outpace declines in productivity per unit of leaf area and, among other factors, age-related reductions in population density. Our results resolve conflicting assumptions about the nature of tree growth, inform efforts to undertand and model forest carbon dynamics, and have additional implications for theories of resource allocation and plant senescence.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Stephenson, N L -- Das, A J -- Condit, R -- Russo, S E -- Baker, P J -- Beckman, N G -- Coomes, D A -- Lines, E R -- Morris, W K -- Ruger, N -- Alvarez, E -- Blundo, C -- Bunyavejchewin, S -- Chuyong, G -- Davies, S J -- Duque, A -- Ewango, C N -- Flores, O -- Franklin, J F -- Grau, H R -- Hao, Z -- Harmon, M E -- Hubbell, S P -- Kenfack, D -- Lin, Y -- Makana, J-R -- Malizia, A -- Malizia, L R -- Pabst, R J -- Pongpattananurak, N -- Su, S-H -- Sun, I-F -- Tan, S -- Thomas, D -- van Mantgem, P J -- Wang, X -- Wiser, S K -- Zavala, M A -- England -- Nature. 2014 Mar 6;507(7490):90-3. doi: 10.1038/nature12914. Epub 2014 Jan 15.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉US Geological Survey, Western Ecological Research Center, Three Rivers, California 93271, USA. ; Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, Republic of Panama. ; School of Biological Sciences, University of Nebraska, Lincoln, Nebraska 68588, USA. ; Department of Forest and Ecosystem Science, University of Melbourne, Victoria 3121, Australia. ; 1] School of Biological Sciences, University of Nebraska, Lincoln, Nebraska 68588, USA [2] Mathematical Biosciences Institute, Ohio State University, Columbus, Ohio 43210, USA (N.G.B.); German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, 04103 Leipzig, Germany (N.R.). ; Department of Plant Sciences, University of Cambridge, Cambridge CB2 3EA, UK. ; Department of Geography, University College London, London WC1E 6BT, UK. ; School of Botany, University of Melbourne, Victoria 3010, Australia. ; 1] Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, Republic of Panama [2] Spezielle Botanik und Funktionelle Biodiversitat, Universitat Leipzig, 04103 Leipzig, Germany [3] Mathematical Biosciences Institute, Ohio State University, Columbus, Ohio 43210, USA (N.G.B.); German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, 04103 Leipzig, Germany (N.R.). ; Jardin Botanico de Medellin, Calle 73, No. 51D-14, Medellin, Colombia. ; Instituto de Ecologia Regional, Universidad Nacional de Tucuman, 4107 Yerba Buena, Tucuman, Argentina. ; Research Office, Department of National Parks, Wildlife and Plant Conservation, Bangkok 10900, Thailand. ; Department of Botany and Plant Physiology, Buea, Southwest Province, Cameroon. ; Smithsonian Institution Global Earth Observatory-Center for Tropical Forest Science, Smithsonian Institution, PO Box 37012, Washington, DC 20013, USA. ; Universidad Nacional de Colombia, Departamento de Ciencias Forestales, Medellin, Colombia. ; Wildlife Conservation Society, Kinshasa/Gombe, Democratic Republic of the Congo. ; Unite Mixte de Recherche-Peuplements Vegetaux et Bioagresseurs en Milieu Tropical, Universite de la Reunion/CIRAD, 97410 Saint Pierre, France. ; School of Environmental and Forest Sciences, University of Washington, Seattle, Washington 98195, USA. ; State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China. ; Department of Forest Ecosystems and Society, Oregon State University, Corvallis, Oregon 97331, USA. ; 1] Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, Republic of Panama [2] Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California 90095, USA. ; Department of Life Science, Tunghai University, Taichung City 40704, Taiwan. ; Facultad de Ciencias Agrarias, Universidad Nacional de Jujuy, 4600 San Salvador de Jujuy, Argentina. ; Faculty of Forestry, Kasetsart University, ChatuChak Bangkok 10900, Thailand. ; Taiwan Forestry Research Institute, Taipei 10066, Taiwan. ; Department of Natural Resources and Environmental Studies, National Dong Hwa University, Hualien 97401, Taiwan. ; Sarawak Forestry Department, Kuching, Sarawak 93660, Malaysia. ; Department of Botany and Plant Pathology, Oregon State University, Corvallis, Oregon 97331, USA. ; US Geological Survey, Western Ecological Research Center, Arcata, California 95521, USA. ; Landcare Research, PO Box 40, Lincoln 7640, New Zealand. ; Forest Ecology and Restoration Group, Department of Life Sciences, University of Alcala, Alcala de Henares, 28805 Madrid, Spain.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24429523" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hughes, Virginia -- England -- Nature. 2014 Jul 17;511(7509):282-4. doi: 10.1038/511282a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25030150" target="_blank"〉PubMed〈/a〉

Description: What mechanisms underlie the transitions responsible for the diverse shapes observed in the living world? Although bacteria exhibit a myriad of morphologies, the mechanisms responsible for the evolution of bacterial cell shape are not understood. We investigated morphological diversity in a group of bacteria that synthesize an appendage-like extension of the cell envelope called the stalk. The location and number of stalks varies among species, as exemplified by three distinct subcellular positions of stalks within a rod-shaped cell body: polar in the genus Caulobacter and subpolar or bilateral in the genus Asticcacaulis. Here we show that a developmental regulator of Caulobacter crescentus, SpmX, is co-opted in the genus Asticcacaulis to specify stalk synthesis either at the subpolar or bilateral positions. We also show that stepwise evolution of a specific region of SpmX led to the gain of a new function and localization of this protein, which drove the sequential transition in stalk positioning. Our results indicate that changes in protein function, co-option and modularity are key elements in the evolution of bacterial morphology. Therefore, similar evolutionary principles of morphological transitions apply to both single-celled prokaryotes and multicellular eukaryotes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4035126/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4035126/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jiang, Chao -- Brown, Pamela J B -- Ducret, Adrien -- Brun, Yves V -- AI072992/AI/NIAID NIH HHS/ -- GM051986/GM/NIGMS NIH HHS/ -- R01 GM051986/GM/NIGMS NIH HHS/ -- S10RR028697-01/RR/NCRR NIH HHS/ -- England -- Nature. 2014 Feb 27;506(7489):489-93. doi: 10.1038/nature12900. Epub 2014 Jan 19.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, Indiana University, Bloomington, Indiana 47405, USA. ; 1] Department of Biology, Indiana University, Bloomington, Indiana 47405, USA [2] Division of Biological Sciences, University of Missouri, Columbia, Missouri 65211, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24463524" target="_blank"〉PubMed〈/a〉

Description: Elucidating the role of molecular stochasticity in cellular growth is central to understanding phenotypic heterogeneity and the stability of cellular proliferation. The inherent stochasticity of metabolic reaction events should have negligible effect, because of averaging over the many reaction events contributing to growth. Indeed, metabolism and growth are often considered to be constant for fixed conditions. Stochastic fluctuations in the expression level of metabolic enzymes could produce variations in the reactions they catalyse. However, whether such molecular fluctuations can affect growth is unclear, given the various stabilizing regulatory mechanisms, the slow adjustment of key cellular components such as ribosomes, and the secretion and buffering of excess metabolites. Here we use time-lapse microscopy to measure fluctuations in the instantaneous growth rate of single cells of Escherichia coli, and quantify time-resolved cross-correlations with the expression of lac genes and enzymes in central metabolism. We show that expression fluctuations of catabolically active enzymes can propagate and cause growth fluctuations, with transmission depending on the limitation of the enzyme to growth. Conversely, growth fluctuations propagate back to perturb expression. Accordingly, enzymes were found to transmit noise to other unrelated genes via growth. Homeostasis is promoted by a noise-cancelling mechanism that exploits fluctuations in the dilution of proteins by cell-volume expansion. The results indicate that molecular noise is propagated not only by regulatory proteins but also by metabolic reactions. They also suggest that cellular metabolism is inherently stochastic, and a generic source of phenotypic heterogeneity.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kiviet, Daniel J -- Nghe, Philippe -- Walker, Noreen -- Boulineau, Sarah -- Sunderlikova, Vanda -- Tans, Sander J -- England -- Nature. 2014 Oct 16;514(7522):376-9. doi: 10.1038/nature13582. Epub 2014 Sep 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] FOM institute AMOLF, Science Park 104, 1098 XG Amsterdam, the Netherlands [2] Department of Environmental Systems Science, ETH Zurich, Universitaetsstrasse 16, 8092 Zurich, Switzerland [3] Department of Environmental Microbiology, Eawag, Ueberlandstrasse 133, 8600 Duebendorf, Switzerland [4]. ; 1] FOM institute AMOLF, Science Park 104, 1098 XG Amsterdam, the Netherlands [2] Laboratoire de Biochimie, UMR 8231 CNRS/ESPCI, Ecole Superieure de Physique et de Chimie industrielles, 10 rue Vauquelin, 75005 Paris, France. [3]. ; FOM institute AMOLF, Science Park 104, 1098 XG Amsterdam, the Netherlands.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25186725" target="_blank"〉PubMed〈/a〉

Description: Mesenchymal stem cells occupy niches in stromal tissues where they provide sources of cells for specialized mesenchymal derivatives during growth and repair. The origins of mesenchymal stem cells have been the subject of considerable discussion, and current consensus holds that perivascular cells form mesenchymal stem cells in most tissues. The continuously growing mouse incisor tooth offers an excellent model to address the origin of mesenchymal stem cells. These stem cells dwell in a niche at the tooth apex where they produce a variety of differentiated derivatives. Cells constituting the tooth are mostly derived from two embryonic sources: neural crest ectomesenchyme and ectodermal epithelium. It has been thought for decades that the dental mesenchymal stem cells giving rise to pulp cells and odontoblasts derive from neural crest cells after their migration in the early head and formation of ectomesenchymal tissue. Here we show that a significant population of mesenchymal stem cells during development, self-renewal and repair of a tooth are derived from peripheral nerve-associated glia. Glial cells generate multipotent mesenchymal stem cells that produce pulp cells and odontoblasts. By combining a clonal colour-coding technique with tracing of peripheral glia, we provide new insights into the dynamics of tooth organogenesis and growth.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kaukua, Nina -- Shahidi, Maryam Khatibi -- Konstantinidou, Chrysoula -- Dyachuk, Vyacheslav -- Kaucka, Marketa -- Furlan, Alessandro -- An, Zhengwen -- Wang, Longlong -- Hultman, Isabell -- Ahrlund-Richter, Lars -- Blom, Hans -- Brismar, Hjalmar -- Lopes, Natalia Assaife -- Pachnis, Vassilis -- Suter, Ueli -- Clevers, Hans -- Thesleff, Irma -- Sharpe, Paul -- Ernfors, Patrik -- Fried, Kaj -- Adameyko, Igor -- G0901599/Medical Research Council/United Kingdom -- MC_U117537087/Medical Research Council/United Kingdom -- England -- Nature. 2014 Sep 25;513(7519):551-4. doi: 10.1038/nature13536. Epub 2014 Jul 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Neuroscience, Karolinska Institutet, Stockholm 17177, Sweden [2]. ; 1] Department of Dental Medicine, Karolinska Institutet, Stockholm 17177, Sweden [2]. ; Division of Molecular Neurobiology, MRC National Institute for Medical Research, London NW7 1AA, UK. ; 1] Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm 17177, Sweden [2] A.V. Zhirmunsky Institute of Marine Biology of the Far Eastern Branch of the Russian Academy of Sciences, Vladivostok 690041, Russia. ; Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm 17177, Sweden. ; Unit of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm 17177, Sweden. ; Department of Craniofacial Development and Stem Cell Biology, King's College London Dental Institute, Guy's Hospital, London SE1 3QD, UK. ; Department of Women's and Children's Health, Karolinska Institutet, Stockholm 17177, Sweden. ; Science for Life Laboratory, Royal Institute of Technology, Stockholm 17177, Sweden. ; Department of Biology, Institute of Molecular Health Sciences, ETH Zurich CH-8093, Switzerland. ; 1] Hubrecht Institute, Koninklijke Nederlandse Akademie van Wetenschappen (KNAW), PO Box 85164, 3508 AD Utrecht, the Netherlands [2] Department of Molecular Genetics, University Medical Center Utrecht, Utrecht 3508 GA, the Netherlands. ; Institute of Biotechnology, Developmental Biology Program, University of Helsinki, Helsinki FI-00014, Finland. ; Department of Neuroscience, Karolinska Institutet, Stockholm 17177, Sweden.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25079316" target="_blank"〉PubMed〈/a〉

Description: The seasonality of sunlight and rainfall regulates net primary production in tropical forests. Previous studies have suggested that light is more limiting than water for tropical forest productivity, consistent with greening of Amazon forests during the dry season in satellite data. We evaluated four potential mechanisms for the seasonal green-up phenomenon, including increases in leaf area or leaf reflectance, using a sophisticated radiative transfer model and independent satellite observations from lidar and optical sensors. Here we show that the apparent green up of Amazon forests in optical remote sensing data resulted from seasonal changes in near-infrared reflectance, an artefact of variations in sun-sensor geometry. Correcting this bidirectional reflectance effect eliminated seasonal changes in surface reflectance, consistent with independent lidar observations and model simulations with unchanging canopy properties. The stability of Amazon forest structure and reflectance over seasonal timescales challenges the paradigm of light-limited net primary production in Amazon forests and enhanced forest growth during drought conditions. Correcting optical remote sensing data for artefacts of sun-sensor geometry is essential to isolate the response of global vegetation to seasonal and interannual climate variability.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Morton, Douglas C -- Nagol, Jyoteshwar -- Carabajal, Claudia C -- Rosette, Jacqueline -- Palace, Michael -- Cook, Bruce D -- Vermote, Eric F -- Harding, David J -- North, Peter R J -- England -- Nature. 2014 Feb 13;506(7487):221-4. doi: 10.1038/nature13006. Epub 2014 Feb 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA. ; 1] University of Maryland, College Park, Department of Geographical Sciences, College Park, Maryland 20742, USA [2] Global Land Cover Facility, College Park, Maryland 20740, USA. ; 1] NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA [2] Sigma Space Corporation, Lantham, Maryland 20706, USA. ; 1] NASA Goddard Space Flight Center, Greenbelt, Maryland 20771, USA [2] University of Maryland, College Park, Department of Geographical Sciences, College Park, Maryland 20742, USA [3] Swansea University, Department of Geography, Singleton Park, Swansea SA2 8PP, UK. ; Earth System Research Center, University of New Hampshire, Durham, New Hampshire 03824, USA. ; Swansea University, Department of Geography, Singleton Park, Swansea SA2 8PP, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24499816" target="_blank"〉PubMed〈/a〉

Description: Therapeutic food interventions have reduced mortality in children with severe acute malnutrition (SAM), but incomplete restoration of healthy growth remains a major problem. The relationships between the type of nutritional intervention, the gut microbiota, and therapeutic responses are unclear. In the current study, bacterial species whose proportional representation define a healthy gut microbiota as it assembles during the first two postnatal years were identified by applying a machine-learning-based approach to 16S ribosomal RNA data sets generated from monthly faecal samples obtained from birth onwards in a cohort of children living in an urban slum of Dhaka, Bangladesh, who exhibited consistently healthy growth. These age-discriminatory bacterial species were incorporated into a model that computes a 'relative microbiota maturity index' and 'microbiota-for-age Z-score' that compare postnatal assembly (defined here as maturation) of a child's faecal microbiota relative to healthy children of similar chronologic age. The model was applied to twins and triplets (to test for associations of these indices with genetic and environmental factors, including diarrhoea), children with SAM enrolled in a randomized trial of two food interventions, and children with moderate acute malnutrition. Our results indicate that SAM is associated with significant relative microbiota immaturity that is only partially ameliorated following two widely used nutritional interventions. Immaturity is also evident in less severe forms of malnutrition and correlates with anthropometric measurements. Microbiota maturity indices provide a microbial measure of human postnatal development, a way of classifying malnourished states, and a parameter for judging therapeutic efficacy. More prolonged interventions with existing or new therapeutic foods and/or addition of gut microbes may be needed to achieve enduring repair of gut microbiota immaturity in childhood malnutrition and improve clinical outcomes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4189846/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4189846/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Subramanian, Sathish -- Huq, Sayeeda -- Yatsunenko, Tanya -- Haque, Rashidul -- Mahfuz, Mustafa -- Alam, Mohammed A -- Benezra, Amber -- DeStefano, Joseph -- Meier, Martin F -- Muegge, Brian D -- Barratt, Michael J -- VanArendonk, Laura G -- Zhang, Qunyuan -- Province, Michael A -- Petri, William A Jr -- Ahmed, Tahmeed -- Gordon, Jeffrey I -- AI043596/AI/NIAID NIH HHS/ -- R01 AI043596/AI/NIAID NIH HHS/ -- T32 GM007067/GM/NIGMS NIH HHS/ -- England -- Nature. 2014 Jun 19;510(7505):417-21. doi: 10.1038/nature13421. Epub 2014 Jun 4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, Missouri 63108, USA. ; Centre for Nutrition and Food Security, International Centre for Diarrhoeal Disease Research, Dhaka 1212, Bangladesh. ; 1] Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, Missouri 63108, USA [2] Department of Anthropology, New School for Social Research, New York, New York 10003, USA. ; Division of Statistical Genomics, Washington University in St. Louis, St. Louis, Missouri 63108, USA. ; Departments of Medicine, Microbiology and Pathology, University of Virginia School of Medicine, Charlottesville, Virginia 22908, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24896187" target="_blank"〉PubMed〈/a〉

Description: Since the recognition that allopatric speciation can be induced by large-scale reconfigurations of the landscape that isolate formerly continuous populations, such as the separation of continents by plate tectonics, the uplift of mountains or the formation of large rivers, landscape change has been viewed as a primary driver of biological diversification. This process is referred to in biogeography as vicariance. In the most species-rich region of the world, the Neotropics, the sundering of populations associated with the Andean uplift is ascribed this principal role in speciation. An alternative model posits that rather than being directly linked to landscape change, allopatric speciation is initiated to a greater extent by dispersal events, with the principal drivers of speciation being organism-specific abilities to persist and disperse in the landscape. Landscape change is not a necessity for speciation in this model. Here we show that spatial and temporal patterns of genetic differentiation in Neotropical birds are highly discordant across lineages and are not reconcilable with a model linking speciation solely to landscape change. Instead, the strongest predictors of speciation are the amount of time a lineage has persisted in the landscape and the ability of birds to move through the landscape matrix. These results, augmented by the observation that most species-level diversity originated after episodes of major Andean uplift in the Neogene period, suggest that dispersal and differentiation on a matrix previously shaped by large-scale landscape events was a major driver of avian speciation in lowland Neotropical rainforests.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Smith, Brian Tilston -- McCormack, John E -- Cuervo, Andres M -- Hickerson, Michael J -- Aleixo, Alexandre -- Cadena, Carlos Daniel -- Perez-Eman, Jorge -- Burney, Curtis W -- Xie, Xiaoou -- Harvey, Michael G -- Faircloth, Brant C -- Glenn, Travis C -- Derryberry, Elizabeth P -- Prejean, Jesse -- Fields, Samantha -- Brumfield, Robb T -- England -- Nature. 2014 Nov 20;515(7527):406-9. doi: 10.1038/nature13687. Epub 2014 Sep 10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Museum of Natural Science, Louisiana State University, Baton Rouge, Louisiana 70803, USA [2] Department of Ornithology, American Museum of Natural History, New York, New York 10024, USA [3]. ; 1] Museum of Natural Science, Louisiana State University, Baton Rouge, Louisiana 70803, USA [2] Moore Laboratory of Zoology, Occidental College, 1600 Campus Road, Los Angeles, California 90041, USA (J.E.M.); Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, Louisiana 70118, USA (A.M.C. &E.P.D.); Department of Biology, 2355 Faculty Drive, Suite 2P483, United States Air Force Academy, Colorado 80840, USA (C.W.B.); Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana 70803, USA (B.C.F.). ; 1] Museum of Natural Science, Louisiana State University, Baton Rouge, Louisiana 70803, USA [2] Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana 70803, USA [3] Moore Laboratory of Zoology, Occidental College, 1600 Campus Road, Los Angeles, California 90041, USA (J.E.M.); Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, Louisiana 70118, USA (A.M.C. &E.P.D.); Department of Biology, 2355 Faculty Drive, Suite 2P483, United States Air Force Academy, Colorado 80840, USA (C.W.B.); Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana 70803, USA (B.C.F.). ; 1] Biology Department, City College of New York, New York, New York 10031, USA [2] Division of Invertebrate Zoology, American Museum of Natural History, New York, New York 10024, USA. ; Coordenacao de Zoologia, Museu Paraense Emilio Goeldi, Caixa Postal 399, CEP 66040-170, Belem, Brazil. ; Laboratorio de Biologia Evolutiva de Vertebrados, Departamento de Ciencias Biologicas, Universidad de los Andes, Bogota, Colombia. ; 1] Instituto de Zoologia y Ecologia Tropical, Universidad Central de Venezuela, Av. Los Ilustres, Los Chaguaramos, Apartado Postal 47058, Caracas 1041-A, Venezuela [2] Coleccion Ornitologica Phelps, Apartado 2009, Caracas 1010-A, Venezuela. ; Biology Department, City College of New York, New York, New York 10031, USA. ; 1] Museum of Natural Science, Louisiana State University, Baton Rouge, Louisiana 70803, USA [2] Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana 70803, USA. ; 1] Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California 90095, USA [2] Moore Laboratory of Zoology, Occidental College, 1600 Campus Road, Los Angeles, California 90041, USA (J.E.M.); Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, Louisiana 70118, USA (A.M.C. &E.P.D.); Department of Biology, 2355 Faculty Drive, Suite 2P483, United States Air Force Academy, Colorado 80840, USA (C.W.B.); Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana 70803, USA (B.C.F.). ; Department of Environmental Health Science, University of Georgia, Athens, Georgia 30602, USA. ; 1] Museum of Natural Science, Louisiana State University, Baton Rouge, Louisiana 70803, USA [2] Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana 70803, USA [3].〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25209666" target="_blank"〉PubMed〈/a〉

Description: It has been theorized for decades that mitochondria act as the biological clock of ageing, but the evidence is incomplete. Here we show a strong coupling between mitochondrial function and ageing by in vivo visualization of the mitochondrial flash (mitoflash), a frequency-coded optical readout reflecting free-radical production and energy metabolism at the single-mitochondrion level. Mitoflash activity in Caenorhabditis elegans pharyngeal muscles peaked on adult day 3 during active reproduction and on day 9 when animals started to die off. A plethora of genetic mutations and environmental factors inversely modified the lifespan and the day-3 mitoflash frequency. Even within an isogenic population, the day-3 mitoflash frequency was negatively correlated with the lifespan of individual animals. Furthermore, enhanced activity of the glyoxylate cycle contributed to the decreased day-3 mitoflash frequency and the longevity of daf-2 mutant animals. These results demonstrate that the day-3 mitoflash frequency is a powerful predictor of C. elegans lifespan across genetic, environmental and stochastic factors. They also support the notion that the rate of ageing, although adjustable in later life, has been set to a considerable degree before reproduction ceases.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shen, En-Zhi -- Song, Chun-Qing -- Lin, Yuan -- Zhang, Wen-Hong -- Su, Pei-Fang -- Liu, Wen-Yuan -- Zhang, Pan -- Xu, Jiejia -- Lin, Na -- Zhan, Cheng -- Wang, Xianhua -- Shyr, Yu -- Cheng, Heping -- Dong, Meng-Qiu -- England -- Nature. 2014 Apr 3;508(7494):128-32. doi: 10.1038/nature13012. Epub 2014 Feb 12.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] College of Biological Sciences, China Agricultural University, Beijing 100094, China [2] National Institute of Biological Sciences, Beijing, Beijing 102206, China [3]. ; 1] State Key Laboratory of Biomembrane and Membrane Biotechnology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China [2]. ; National Institute of Biological Sciences, Beijing, Beijing 102206, China. ; Department of Statistics, National Cheng Kung University, Tainan 70101, Taiwan. ; State Key Laboratory of Biomembrane and Membrane Biotechnology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China. ; Vanderbilt Centre for Quantitative Sciences, Vanderbilt University, Nashville, Tennessee 37232, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24522532" target="_blank"〉PubMed〈/a〉

Description: MicroRNA and protein sequestration by non-coding RNAs (ncRNAs) has recently generated much interest. In the bacterial Csr/Rsm system, which is considered to be the most general global post-transcriptional regulatory system responsible for bacterial virulence, ncRNAs such as CsrB or RsmZ activate translation initiation by sequestering homodimeric CsrA-type proteins from the ribosome-binding site of a subset of messenger RNAs. However, the mechanism of ncRNA-mediated protein sequestration is not understood at the molecular level. Here we show for Pseudomonas fluorescens that RsmE protein dimers assemble sequentially, specifically and cooperatively onto the ncRNA RsmZ within a narrow affinity range. This assembly yields two different native ribonucleoprotein structures. Using a powerful combination of nuclear magnetic resonance and electron paramagnetic resonance spectroscopy we elucidate these 70-kilodalton solution structures, thereby revealing the molecular mechanism of the sequestration process and how RsmE binding protects the ncRNA from RNase E degradation. Overall, our findings suggest that RsmZ is well-tuned to sequester, store and release RsmE and therefore can be viewed as an ideal protein 'sponge'.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Duss, Olivier -- Michel, Erich -- Yulikov, Maxim -- Schubert, Mario -- Jeschke, Gunnar -- Allain, Frederic H-T -- England -- Nature. 2014 May 29;509(7502):588-92. doi: 10.1038/nature13271. Epub 2014 May 14.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute of Molecular Biology and Biophysics, ETH Zurich, CH-8093 Zurich, Switzerland. ; Laboratory of Physical Chemistry, ETH Zurich, CH-8093 Zurich, Switzerland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24828038" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Callaway, Ewen -- England -- Nature. 2014 Mar 27;507(7493):414-6. doi: 10.1038/507414a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24670743" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Anthes, Emily -- England -- Nature. 2014 Apr 3;508(7494):S16-7. doi: 10.1038/508S16a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24695330" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Victor, David G -- Kennel, Charles F -- England -- Nature. 2014 Oct 2;514(7520):30-1. doi: 10.1038/514030a.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉School of International Relations and Pacific Studies, University of California, San Diego, La Jolla, California, USA. ; Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25279903" target="_blank"〉PubMed〈/a〉

Description: Cancers arise through a process of somatic evolution that can result in substantial sub-clonal heterogeneity within tumours. The mechanisms responsible for the coexistence of distinct sub-clones and the biological consequences of this coexistence remain poorly understood. Here we used a mouse xenograft model to investigate the impact of sub-clonal heterogeneity on tumour phenotypes and the competitive expansion of individual clones. We found that tumour growth can be driven by a minor cell subpopulation, which enhances the proliferation of all cells within a tumour by overcoming environmental constraints and yet can be outcompeted by faster proliferating competitors, resulting in tumour collapse. We developed a mathematical modelling framework to identify the rules underlying the generation of intra-tumour clonal heterogeneity. We found that non-cell-autonomous driving of tumour growth, together with clonal interference, stabilizes sub-clonal heterogeneity, thereby enabling inter-clonal interactions that can lead to new phenotypic traits.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4184961/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4184961/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Marusyk, Andriy -- Tabassum, Doris P -- Altrock, Philipp M -- Almendro, Vanessa -- Michor, Franziska -- Polyak, Kornelia -- U54 CA143798/CA/NCI NIH HHS/ -- U54CA143798/CA/NCI NIH HHS/ -- England -- Nature. 2014 Oct 2;514(7520):54-8. doi: 10.1038/nature13556. Epub 2014 Jul 30.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA [2] Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA [3] Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA. ; 1] Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA [2] BBS Program, Harvard Medical School, Boston, Massachusetts 02115, USA. ; 1] Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA [2] Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA [3] Program for Evolutionary Dynamics, Harvard University, Cambridge, Massachusetts 02138, USA. ; 1] Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA [2] Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA. ; 1] Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA [2] Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA [3] Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115, USA [4] BBS Program, Harvard Medical School, Boston, Massachusetts 02115, USA [5] Harvard Stem Cell Institute and the Broad Institute, Cambridge, Massachusetts 02138, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25079331" target="_blank"〉PubMed〈/a〉

Description: Many species travel in highly organized groups. The most quoted function of these configurations is to reduce energy expenditure and enhance locomotor performance of individuals in the assemblage. The distinctive V formation of bird flocks has long intrigued researchers and continues to attract both scientific and popular attention. The well-held belief is that such aggregations give an energetic benefit for those birds that are flying behind and to one side of another bird through using the regions of upwash generated by the wings of the preceding bird, although a definitive account of the aerodynamic implications of these formations has remained elusive. Here we show that individuals of northern bald ibises (Geronticus eremita) flying in a V flock position themselves in aerodynamically optimum positions, in that they agree with theoretical aerodynamic predictions. Furthermore, we demonstrate that birds show wingtip path coherence when flying in V positions, flapping spatially in phase and thus enabling upwash capture to be maximized throughout the entire flap cycle. In contrast, when birds fly immediately behind another bird--in a streamwise position--there is no wingtip path coherence; the wing-beats are in spatial anti-phase. This could potentially reduce the adverse effects of downwash for the following bird. These aerodynamic accomplishments were previously not thought possible for birds because of the complex flight dynamics and sensory feedback that would be required to perform such a feat. We conclude that the intricate mechanisms involved in V formation flight indicate awareness of the spatial wake structures of nearby flock-mates, and remarkable ability either to sense or predict it. We suggest that birds in V formation have phasing strategies to cope with the dynamic wakes produced by flapping wings.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Portugal, Steven J -- Hubel, Tatjana Y -- Fritz, Johannes -- Heese, Stefanie -- Trobe, Daniela -- Voelkl, Bernhard -- Hailes, Stephen -- Wilson, Alan M -- Usherwood, James R -- 095061/Wellcome Trust/United Kingdom -- 095061/Z/10/Z/Wellcome Trust/United Kingdom -- BB/J018007/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- England -- Nature. 2014 Jan 16;505(7483):399-402. doi: 10.1038/nature12939.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Structure & Motion Laboratory, the Royal Veterinary College, University of London, Hatfield, Hertfordshire AL9 7TA, UK. ; Waldrappteam, Schulgasse 28, 6162 Mutters, Austria. ; 1] Waldrappteam, Schulgasse 28, 6162 Mutters, Austria [2] Institute for Theoretical Biology, Humboldt University at Berlin, Invalidenstrasse 43, 10115 Berlin, Germany [3] Edward Grey Institute, Department of Zoology, University of Oxford, Oxford OX1 3PS, UK. ; 1] Structure & Motion Laboratory, the Royal Veterinary College, University of London, Hatfield, Hertfordshire AL9 7TA, UK [2] Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24429637" target="_blank"〉PubMed〈/a〉

Description: Curli are functional amyloid fibres that constitute the major protein component of the extracellular matrix in pellicle biofilms formed by Bacteroidetes and Proteobacteria (predominantly of the alpha and gamma classes). They provide a fitness advantage in pathogenic strains and induce a strong pro-inflammatory response during bacteraemia. Curli formation requires a dedicated protein secretion machinery comprising the outer membrane lipoprotein CsgG and two soluble accessory proteins, CsgE and CsgF. Here we report the X-ray structure of Escherichia coli CsgG in a non-lipidated, soluble form as well as in its native membrane-extracted conformation. CsgG forms an oligomeric transport complex composed of nine anticodon-binding-domain-like units that give rise to a 36-stranded beta-barrel that traverses the bilayer and is connected to a cage-like vestibule in the periplasm. The transmembrane and periplasmic domains are separated by a 0.9-nm channel constriction composed of three stacked concentric phenylalanine, asparagine and tyrosine rings that may guide the extended polypeptide substrate through the secretion pore. The specificity factor CsgE forms a nonameric adaptor that binds and closes off the periplasmic face of the secretion channel, creating a 24,000 A(3) pre-constriction chamber. Our structural, functional and electrophysiological analyses imply that CsgG is an ungated, non-selective protein secretion channel that is expected to employ a diffusion-based, entropy-driven transport mechanism.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4268158/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4268158/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Goyal, Parveen -- Krasteva, Petya V -- Van Gerven, Nani -- Gubellini, Francesca -- Van den Broeck, Imke -- Troupiotis-Tsailaki, Anastassia -- Jonckheere, Wim -- Pehau-Arnaudet, Gerard -- Pinkner, Jerome S -- Chapman, Matthew R -- Hultgren, Scott J -- Howorka, Stefan -- Fronzes, Remi -- Remaut, Han -- R01 A1073847/PHS HHS/ -- R01 AI048689/AI/NIAID NIH HHS/ -- R01 AI073847/AI/NIAID NIH HHS/ -- R01 AI099099/AI/NIAID NIH HHS/ -- R56 AI073847/AI/NIAID NIH HHS/ -- England -- Nature. 2014 Dec 11;516(7530):250-3. doi: 10.1038/nature13768. Epub 2014 Sep 14.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Structural and Molecular Microbiology, Structural Biology Research Center, VIB, Pleinlaan 2, 1050 Brussels, Belgium [2] Structural Biology Brussels, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium. ; 1] Unite G5 Biologie structurale de la secretion bacterienne, Institut Pasteur, 25-28 rue du Docteur Roux, 75015 Paris, France [2] UMR 3528, CNRS, Institut Pasteur, 25-28 rue du Docteur Roux, 75015 Paris, France. ; Structure et Fonction des Membranes Biologiques (SFMB), Universite Libre de Bruxelles, 1050 Brussels, Belgium. ; UMR 3528, CNRS, Institut Pasteur, 25-28 rue du Docteur Roux, 75015 Paris, France. ; Department of Molecular Microbiology and Microbial Pathogenesis, Washington University in Saint Louis School of Medicine, St Louis, Missouri 63110-1010, USA. ; Department of Molecular, Cellular and Developmental Biology, University of Michigan, Ann Arbor, Michigan 48109-1048, USA. ; Department of Chemistry, Institute for Structural and Molecular Biology, University College London, London WC1H 0AJ, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25219853" target="_blank"〉PubMed〈/a〉

Description: The glucose transporter GLUT1 catalyses facilitative diffusion of glucose into erythrocytes and is responsible for glucose supply to the brain and other organs. Dysfunctional mutations may lead to GLUT1 deficiency syndrome, whereas overexpression of GLUT1 is a prognostic indicator for cancer. Despite decades of investigation, the structure of GLUT1 remains unknown. Here we report the crystal structure of human GLUT1 at 3.2 A resolution. The full-length protein, which has a canonical major facilitator superfamily fold, is captured in an inward-open conformation. This structure allows accurate mapping and potential mechanistic interpretation of disease-associated mutations in GLUT1. Structure-based analysis of these mutations provides an insight into the alternating access mechanism of GLUT1 and other members of the sugar porter subfamily. Structural comparison of the uniporter GLUT1 with its bacterial homologue XylE, a proton-coupled xylose symporter, allows examination of the transport mechanisms of both passive facilitators and active transporters.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Deng, Dong -- Xu, Chao -- Sun, Pengcheng -- Wu, Jianping -- Yan, Chuangye -- Hu, Mingxu -- Yan, Nieng -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 Jun 5;510(7503):121-5. doi: 10.1038/nature13306. Epub 2014 May 18.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] State Key Laboratory of Bio-membrane and Membrane Biotechnology, Tsinghua University, Beijing 100084, China [2] Center for Structural Biology, School of Life Sciences and School of Medicine, Tsinghua University, Beijing 100084, China [3] Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China [4]. ; 1] State Key Laboratory of Bio-membrane and Membrane Biotechnology, Tsinghua University, Beijing 100084, China [2] Center for Structural Biology, School of Life Sciences and School of Medicine, Tsinghua University, Beijing 100084, China [3]. ; 1] State Key Laboratory of Bio-membrane and Membrane Biotechnology, Tsinghua University, Beijing 100084, China [2] Center for Structural Biology, School of Life Sciences and School of Medicine, Tsinghua University, Beijing 100084, China. ; 1] State Key Laboratory of Bio-membrane and Membrane Biotechnology, Tsinghua University, Beijing 100084, China [2] Center for Structural Biology, School of Life Sciences and School of Medicine, Tsinghua University, Beijing 100084, China [3] Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing 100084, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24847886" target="_blank"〉PubMed〈/a〉

Description: The rapid turnover of the mammalian intestinal epithelium is supported by stem cells located around the base of the crypt. In addition to the Lgr5 marker, intestinal stem cells have been associated with other markers that are expressed heterogeneously within the crypt base region. Previous quantitative clonal fate analyses have led to the proposal that homeostasis occurs as the consequence of neutral competition between dividing stem cells. However, the short-term behaviour of individual Lgr5(+) cells positioned at different locations within the crypt base compartment has not been resolved. Here we establish the short-term dynamics of intestinal stem cells using the novel approach of continuous intravital imaging of Lgr5- Confetti mice. We find that Lgr5(+) cells in the upper part of the niche (termed 'border cells') can be passively displaced into the transit-amplifying domain, after the division of proximate cells, implying that the determination of stem-cell fate can be uncoupled from division. Through quantitative analysis of individual clonal lineages, we show that stem cells at the crypt base, termed 'central cells', experience a survival advantage over border stem cells. However, through the transfer of stem cells between the border and central regions, all Lgr5(+) cells are endowed with long-term self-renewal potential. These findings establish a novel paradigm for stem-cell maintenance in which a dynamically heterogeneous cell population is able to function long term as a single stem-cell pool.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3964820/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3964820/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ritsma, Laila -- Ellenbroek, Saskia I J -- Zomer, Anoek -- Snippert, Hugo J -- de Sauvage, Frederic J -- Simons, Benjamin D -- Clevers, Hans -- van Rheenen, Jacco -- 092096/Wellcome Trust/United Kingdom -- 098357/Wellcome Trust/United Kingdom -- 098357/Z/12/Z/Wellcome Trust/United Kingdom -- England -- Nature. 2014 Mar 20;507(7492):362-5. doi: 10.1038/nature12972. Epub 2014 Feb 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Cancer Genomics Netherlands, Hubrecht Institute-KNAW and University Medical Centre Utrecht, Uppsalalaan 8, 3584 CT Utrecht, The Netherlands [2]. ; Cancer Genomics Netherlands, Hubrecht Institute-KNAW and University Medical Centre Utrecht, Uppsalalaan 8, 3584 CT Utrecht, The Netherlands. ; University Medical Centre Utrecht, Universiteitsweg 100, 3584 CG Utrecht, The Netherlands. ; Department of Molecular Biology, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, USA. ; 1] Cavendish Laboratory, Department of Physics, J. J. Thomson Avenue, University of Cambridge, Cambridge CB3 0HE, UK [2] The Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK [3] The Wellcome Trust/Medical Research Council Stem Cell Institute, University of Cambridge, Tennis Court Road, Cambridge CB2 1QN, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24531760" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Muller, Franz-Josef -- Loring, Jeanne F -- England -- Nature. 2014 Sep 25;513(7519):498-9. doi: 10.1038/513498a.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Zentrum fur Integrative Psychiatrie Kiel, Universitatsklinikum Schleswig-Holstein, 24105 Kiel, Germany. ; Department of Chemical Physiology, Center for Regenerative Medicine, The Scripps Research Institute, California 92037, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25254472" target="_blank"〉PubMed〈/a〉

Description: Tropical forests are important reservoirs of biodiversity, but the processes that maintain this diversity remain poorly understood. The Janzen-Connell hypothesis suggests that specialized natural enemies such as insect herbivores and fungal pathogens maintain high diversity by elevating mortality when plant species occur at high density (negative density dependence; NDD). NDD has been detected widely in tropical forests, but the prediction that NDD caused by insects and pathogens has a community-wide role in maintaining tropical plant diversity remains untested. We show experimentally that changes in plant diversity and species composition are caused by fungal pathogens and insect herbivores. Effective plant species richness increased across the seed-to-seedling transition, corresponding to large changes in species composition. Treating seeds and young seedlings with fungicides significantly reduced the diversity of the seedling assemblage, consistent with the Janzen-Connell hypothesis. Although suppressing insect herbivores using insecticides did not alter species diversity, it greatly increased seedling recruitment and caused a marked shift in seedling species composition. Overall, seedling recruitment was significantly reduced at high conspecific seed densities and this NDD was greatest for the species that were most abundant as seeds. Suppressing fungi reduced the negative effects of density on recruitment, confirming that the diversity-enhancing effect of fungi is mediated by NDD. Our study provides an overall test of the Janzen-Connell hypothesis and demonstrates the crucial role that insects and pathogens have both in structuring tropical plant communities and in maintaining their remarkable diversity.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bagchi, Robert -- Gallery, Rachel E -- Gripenberg, Sofia -- Gurr, Sarah J -- Narayan, Lakshmi -- Addis, Claire E -- Freckleton, Robert P -- Lewis, Owen T -- England -- Nature. 2014 Feb 6;506(7486):85-8. doi: 10.1038/nature12911. Epub 2014 Jan 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK [2] Ecosystem Management Group, Institute of Terrestrial Ecosystems, ETH Zurich, Universitatstrasse 16, 8092 Zurich, Switzerland. ; 1] Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK [2] School of Natural Resources and the Environment, University of Arizona, Tucson, Arizona 85721, USA. ; 1] Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK [2] Section of Biodiversity and Environmental Research, Department of Biology, University of Turku, 20014 Turku, Finland. ; 1] Department of BioSciences, Geoffrey Pope Building, University of Exeter, Exeter EX4 4QD, UK [2] Department of Plant Sciences, University of Oxford, South Parks Road, Oxford OX1 3RB, UK. ; Department of Zoology, University of Oxford, South Parks Road, Oxford OX1 3PS, UK. ; Department of Animal and Plant Science, University of Sheffield, Western Bank, Sheffield S10 2TN, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24463522" target="_blank"〉PubMed〈/a〉

Description: If and how the heart regenerates after an injury event is highly debated. c-kit-expressing cardiac progenitor cells have been reported as the primary source for generation of new myocardium after injury. Here we generated two genetic approaches in mice to examine whether endogenous c-kit(+) cells contribute differentiated cardiomyocytes to the heart during development, with ageing or after injury in adulthood. A complementary DNA encoding either Cre recombinase or a tamoxifen-inducible MerCreMer chimaeric protein was targeted to the Kit locus in mice and then bred with reporter lines to permanently mark cell lineage. Endogenous c-kit(+) cells did produce new cardiomyocytes within the heart, although at a percentage of approximately 0.03 or less, and if a preponderance towards cellular fusion is considered, the percentage falls to below approximately 0.008. By contrast, c-kit(+) cells amply generated cardiac endothelial cells. Thus, endogenous c-kit(+) cells can generate cardiomyocytes within the heart, although probably at a functionally insignificant level.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4127035/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4127035/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉van Berlo, Jop H -- Kanisicak, Onur -- Maillet, Marjorie -- Vagnozzi, Ronald J -- Karch, Jason -- Lin, Suh-Chin J -- Middleton, Ryan C -- Marban, Eduardo -- Molkentin, Jeffery D -- P01 HL108806/HL/NHLBI NIH HHS/ -- P50 HL052318/HL/NHLBI NIH HHS/ -- P50 HL077101/HL/NHLBI NIH HHS/ -- R00 HL112852/HL/NHLBI NIH HHS/ -- R01 HL105924/HL/NHLBI NIH HHS/ -- R37 HL060562/HL/NHLBI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 May 15;509(7500):337-41. doi: 10.1038/nature13309. Epub 2014 May 7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA [2] Department of Medicine, division of Cardiology, Lillehei Heart Institute, University of Minnesota, Minneapolis, Minnesota 55455, USA [3]. ; 1] Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA [2]. ; Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA. ; Cedars-Sinai Heart Institute, 8700 Beverly Boulevard, Los Angeles, California 90048, USA. ; 1] Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA [2] Howard Hughes Medical Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45229, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24805242" target="_blank"〉PubMed〈/a〉

Description: Cellular senescence has historically been viewed as an irreversible cell-cycle arrest mechanism that acts to protect against cancer, but recent discoveries have extended its known role to complex biological processes such as development, tissue repair, ageing and age-related disorders. New insights indicate that, unlike a static endpoint, senescence represents a series of progressive and phenotypically diverse cellular states acquired after the initial growth arrest. A deeper understanding of the molecular mechanisms underlying the multi-step progression of senescence and the development and function of acute versus chronic senescent cells may lead to new therapeutic strategies for age-related pathologies and extend healthy lifespan.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4214092/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4214092/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉van Deursen, Jan M -- AG41122-01P2/AG/NIA NIH HHS/ -- R01 CA096985/CA/NCI NIH HHS/ -- R01 CA166347/CA/NCI NIH HHS/ -- R01CA166347/CA/NCI NIH HHS/ -- R01CA96985/CA/NCI NIH HHS/ -- England -- Nature. 2014 May 22;509(7501):439-46. doi: 10.1038/nature13193.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pediatric and Adolescent Medicine and Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, Minnesota 55905, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24848057" target="_blank"〉PubMed〈/a〉

Description: Touch submodalities, such as flutter and pressure, are mediated by somatosensory afferents whose terminal specializations extract tactile features and encode them as action potential trains with unique activity patterns. Whether non-neuronal cells tune touch receptors through active or passive mechanisms is debated. Terminal specializations are thought to function as passive mechanical filters analogous to the cochlea's basilar membrane, which deconstructs complex sounds into tones that are transduced by mechanosensory hair cells. The model that cutaneous specializations are merely passive has been recently challenged because epidermal cells express sensory ion channels and neurotransmitters; however, direct evidence that epidermal cells excite tactile afferents is lacking. Epidermal Merkel cells display features of sensory receptor cells and make 'synapse-like' contacts with slowly adapting type I (SAI) afferents. These complexes, which encode spatial features such as edges and texture, localize to skin regions with high tactile acuity, including whisker follicles, fingertips and touch domes. Here we show that Merkel cells actively participate in touch reception in mice. Merkel cells display fast, touch-evoked mechanotransduction currents. Optogenetic approaches in intact skin show that Merkel cells are both necessary and sufficient for sustained action-potential firing in tactile afferents. Recordings from touch-dome afferents lacking Merkel cells demonstrate that Merkel cells confer high-frequency responses to dynamic stimuli and enable sustained firing. These data are the first, to our knowledge, to directly demonstrate a functional, excitatory connection between epidermal cells and sensory neurons. Together, these findings indicate that Merkel cells actively tune mechanosensory responses to facilitate high spatio-temporal acuity. Moreover, our results indicate a division of labour in the Merkel cell-neurite complex: Merkel cells signal static stimuli, such as pressure, whereas sensory afferents transduce dynamic stimuli, such as moving gratings. Thus, the Merkel cell-neurite complex is an unique sensory structure composed of two different receptor cell types specialized for distinct elements of discriminative touch.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4097312/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4097312/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Maksimovic, Srdjan -- Nakatani, Masashi -- Baba, Yoshichika -- Nelson, Aislyn M -- Marshall, Kara L -- Wellnitz, Scott A -- Firozi, Pervez -- Woo, Seung-Hyun -- Ranade, Sanjeev -- Patapoutian, Ardem -- Lumpkin, Ellen A -- 5T32HL087745-05/HL/NHLBI NIH HHS/ -- F32 NS080544/NS/NINDS NIH HHS/ -- F32NS080544/NS/NINDS NIH HHS/ -- P30 AR044535/AR/NIAMS NIH HHS/ -- P30 CA125123/CA/NCI NIH HHS/ -- P30AR044535/AR/NIAMS NIH HHS/ -- P30CA013696/CA/NCI NIH HHS/ -- P30CA125123/CA/NCI NIH HHS/ -- R01 AR051219/AR/NIAMS NIH HHS/ -- R01 DE022358/DE/NIDCR NIH HHS/ -- R01AR051219/AR/NIAMS NIH HHS/ -- R01DE022358/DE/NIDCR NIH HHS/ -- R21 AR062307/AR/NIAMS NIH HHS/ -- R21AR062307/AR/NIAMS NIH HHS/ -- T32 HL087745/HL/NHLBI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2014 May 29;509(7502):617-21. doi: 10.1038/nature13250. Epub 2014 Apr 6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Dermatology, Columbia University, New York, New York 10032, USA [2]. ; 1] Department of Dermatology, Columbia University, New York, New York 10032, USA [2] Graduate School of System Design and Management, Keio University, Yokohama 223-8526, Japan [3]. ; 1] Department of Dermatology, Columbia University, New York, New York 10032, USA [2] Department of Neuroscience, Baylor College of Medicine, Houston, Texas 77006, USA. ; Department of Dermatology, Columbia University, New York, New York 10032, USA. ; Department of Neuroscience, Baylor College of Medicine, Houston, Texas 77006, USA. ; Howard Hughes Medical Institute, Molecular and Cellular Neuroscience, The Scripps Research Institute, La Jolla California 92037, USA. ; 1] Department of Dermatology, Columbia University, New York, New York 10032, USA [2] Department of Physiology & Cellular Biophysics, Columbia University, New York, New York 10032, USA [3] Program in Neurobiology & Behavior, Columbia University, New York, New York 10032, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24717432" target="_blank"〉PubMed〈/a〉

Description: The concept of germ layers has been one of the foremost organizing principles in developmental biology, classification, systematics and evolution for 150 years (refs 1 - 3). Of the three germ layers, the mesoderm is found in bilaterian animals but is absent in species in the phyla Cnidaria and Ctenophora, which has been taken as evidence that the mesoderm was the final germ layer to evolve. The origin of the ectoderm and endoderm germ layers, however, remains unclear, with models supporting the antecedence of each as well as a simultaneous origin. Here we determine the temporal and spatial components of gene expression spanning embryonic development for all Caenorhabditis elegans genes and use it to determine the evolutionary ages of the germ layers. The gene expression program of the mesoderm is induced after those of the ectoderm and endoderm, thus making it the last germ layer both to evolve and to develop. Strikingly, the C. elegans endoderm and ectoderm expression programs do not co-induce; rather the endoderm activates earlier, and this is also observed in the expression of endoderm orthologues during the embryology of the frog Xenopus tropicalis, the sea anemone Nematostella vectensis and the sponge Amphimedon queenslandica. Querying the phylogenetic ages of specifically expressed genes reveals that the endoderm comprises older genes. Taken together, we propose that the endoderm program dates back to the origin of multicellularity, whereas the ectoderm originated as a secondary germ layer freed from ancestral feeding functions.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359913/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359913/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hashimshony, Tamar -- Feder, Martin -- Levin, Michal -- Hall, Brian K -- Yanai, Itai -- 310927/European Research Council/International -- England -- Nature. 2015 Mar 12;519(7542):219-22. doi: 10.1038/nature13996. Epub 2014 Dec 10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, Technion - Israel Institute of Technology, Haifa 32000, Israel. ; Department of Biology, Dalhousie University, Halifax, Nova Scotia B3H 4JI, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25487147" target="_blank"〉PubMed〈/a〉

Description: Hox genes regulate regionalization of the axial skeleton in vertebrates, and changes in their expression have been proposed to be a fundamental mechanism driving the evolution of new body forms. The origin of the snake-like body form, with its deregionalized pre-cloacal axial skeleton, has been explained as either homogenization of Hox gene expression domains, or retention of standard vertebrate Hox domains with alteration of downstream expression that suppresses development of distinct regions. Both models assume a highly regionalized ancestor, but the extent of deregionalization of the primaxial domain (vertebrae, dorsal ribs) of the skeleton in snake-like body forms has never been analysed. Here we combine geometric morphometrics and maximum-likelihood analysis to show that the pre-cloacal primaxial domain of elongate, limb-reduced lizards and snakes is not deregionalized compared with limbed taxa, and that the phylogenetic structure of primaxial morphology in reptiles does not support a loss of regionalization in the evolution of snakes. We demonstrate that morphometric regional boundaries correspond to mapped gene expression domains in snakes, suggesting that their primaxial domain is patterned by a normally functional Hox code. Comparison of primaxial osteology in fossil and modern amniotes with Hox gene distributions within Amniota indicates that a functional, sequentially expressed Hox code patterned a subtle morphological gradient along the anterior-posterior axis in stem members of amniote clades and extant lizards, including snakes. The highly regionalized skeletons of extant archosaurs and mammals result from independent evolution in the Hox code and do not represent ancestral conditions for clades with snake-like body forms. The developmental origin of snakes is best explained by decoupling of the primaxial and abaxial domains and by increases in somite number, not by changes in the function of primaxial Hox genes.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Head, Jason J -- Polly, P David -- England -- Nature. 2015 Apr 2;520(7545):86-9. doi: 10.1038/nature14042. Epub 2015 Jan 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Earth and Atmospheric Sciences and Nebraska State Museum of Natural History, University of Nebraska-Lincoln, Lincoln, Nebraska 68588-0340, USA. ; Departments of Geological Sciences, Biology and Anthropology, Indiana University, Bloomington, Indiana 47405-1405, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25539083" target="_blank"〉PubMed〈/a〉

Description: A defining feature of vertebrates (craniates) is a pronounced head that is supported and protected by a robust cellular endoskeleton. In the first vertebrates, this skeleton probably consisted of collagenous cellular cartilage, which forms the embryonic skeleton of all vertebrates and the adult skeleton of modern jawless and cartilaginous fish. In the head, most cellular cartilage is derived from a migratory cell population called the neural crest, which arises from the edges of the central nervous system. Because collagenous cellular cartilage and neural crest cells have not been described in invertebrates, the appearance of cellular cartilage derived from neural crest cells is considered a turning point in vertebrate evolution. Here we show that a tissue with many of the defining features of vertebrate cellular cartilage transiently forms in the larvae of the invertebrate chordate Branchiostoma floridae (Florida amphioxus). We also present evidence that during evolution, a key regulator of vertebrate cartilage development, SoxE, gained new cis-regulatory sequences that subsequently directed its novel expression in neural crest cells. Together, these results suggest that the origin of the vertebrate head skeleton did not depend on the evolution of a new skeletal tissue, as is commonly thought, but on the spread of this tissue throughout the head. We further propose that the evolution of cis-regulatory elements near an ancient regulator of cartilage differentiation was a major factor in the evolution of the vertebrate head skeleton.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jandzik, David -- Garnett, Aaron T -- Square, Tyler A -- Cattell, Maria V -- Yu, Jr-Kai -- Medeiros, Daniel M -- England -- Nature. 2015 Feb 26;518(7540):534-7. doi: 10.1038/nature14000. Epub 2014 Dec 8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado 80309, USA [2] Department of Zoology, Comenius University, Bratislava 84215, Slovakia. ; Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado 80309, USA. ; Institute of Cellular and Organismic Biology, Academia Sinica, Taipei 11529, Taiwan.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25487155" target="_blank"〉PubMed〈/a〉

Description: Reproduction in jawed vertebrates (gnathostomes) involves either external or internal fertilization. It is commonly argued that internal fertilization can evolve from external, but not the reverse. Male copulatory claspers are present in certain placoderms, fossil jawed vertebrates retrieved as a paraphyletic segment of the gnathostome stem group in recent studies. This suggests that internal fertilization could be primitive for gnathostomes, but such a conclusion depends on demonstrating that copulation was not just a specialized feature of certain placoderm subgroups. The reproductive biology of antiarchs, consistently identified as the least crownward placoderms and thus of great interest in this context, has until now remained unknown. Here we show that certain antiarchs possessed dermal claspers in the males, while females bore paired dermal plates inferred to have facilitated copulation. These structures are not associated with pelvic fins. The clasper morphology resembles that of ptyctodonts, a more crownward placoderm group, suggesting that all placoderm claspers are homologous and that internal fertilization characterized all placoderms. This implies that external fertilization and spawning, which characterize most extant aquatic gnathostomes, must be derived from internal fertilization, even though this transformation has been thought implausible. Alternatively, the substantial morphological evidence for placoderm paraphyly must be rejected.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Long, John A -- Mark-Kurik, Elga -- Johanson, Zerina -- Lee, Michael S Y -- Young, Gavin C -- Min, Zhu -- Ahlberg, Per E -- Newman, Michael -- Jones, Roger -- den Blaauwen, Jan -- Choo, Brian -- Trinajstic, Kate -- England -- Nature. 2015 Jan 8;517(7533):196-9. doi: 10.1038/nature13825. Epub 2014 Oct 19.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] School of Biological Sciences, Flinders University, 2100, Adelaide, South Australia 5001, Australia [2] Natural History Museum of Los Angeles County, 900 Exposition Boulevard, Los Angeles, California 9007, USA [3] Museum Victoria, PO Box 666, Melbourne, Victoria 3001, Australia. ; Institute of Geology at Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia. ; Department of Earth Sciences, Natural History Museum, London SW7 5BD, UK. ; 1] South Australian Museum, North Terrace, Adelaide, South Australia 5000, Australia [2] School of Earth and Environmental Sciences, The University of Adelaide, South Australia 5005, Australia. ; Research School of Earth Sciences, The Australian National University, Canberra, Australian Capital Territory 0200, Australia. ; Key Laboratory of Evolutionary Systematics of Vertebrates, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, PO Box 643, Beijing 100044, China. ; Department of Organismal Biology, Evolutionary Biology Centre, Uppsala University, Norbyvagen 18A, 752 36 Uppsala, Sweden. ; Vine Lodge, Vine Road, Johnston, Haverfordwest, Pembrokeshire SA62 3NZ, UK. ; 6 Burghley Road, Wimbledon, London SW19 5BH, UK. ; University of Amsterdam, Science Park 904, 1098XH, Amsterdam, The Netherlands. ; School of Biological Sciences, Flinders University, 2100, Adelaide, South Australia 5001, Australia. ; 1] Western Australian Organic and Isotope Geochemistry Centre, Department of Chemistry, Curtin University, Perth, Western Australia 6102, Australia [2] Earth and Planetary Sciences, Western Australian Museum, Perth, Western Australia 6000, Australia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25327249" target="_blank"〉PubMed〈/a〉

Description: G-protein-gated inward rectifier K(+) (GIRK) channels allow neurotransmitters, through G-protein-coupled receptor stimulation, to control cellular electrical excitability. In cardiac and neuronal cells this control regulates heart rate and neural circuit activity, respectively. Here we present the 3.5 A resolution crystal structure of the mammalian GIRK2 channel in complex with betagamma G-protein subunits, the central signalling complex that links G-protein-coupled receptor stimulation to K(+) channel activity. Short-range atomic and long-range electrostatic interactions stabilize four betagamma G-protein subunits at the interfaces between four K(+) channel subunits, inducing a pre-open state of the channel. The pre-open state exhibits a conformation that is intermediate between the closed conformation and the open conformation of the constitutively active mutant. The resultant structural picture is compatible with 'membrane delimited' activation of GIRK channels by G proteins and the characteristic burst kinetics of channel gating. The structures also permit a conceptual understanding of how the signalling lipid phosphatidylinositol-4,5-bisphosphate (PIP2) and intracellular Na(+) ions participate in multi-ligand regulation of GIRK channels.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4654628/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4654628/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Whorton, Matthew R -- MacKinnon, Roderick -- 1S10RR022321-01/RR/NCRR NIH HHS/ -- 1S10RR027037-01/RR/NCRR NIH HHS/ -- S10 RR027037/RR/NCRR NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2013 Jun 13;498(7453):190-7. doi: 10.1038/nature12241. Epub 2013 Jun 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory of Molecular Neurobiology and Biophysics, The Rockefeller University, 1230 York Avenue, New York, New York 10065, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23739333" target="_blank"〉PubMed〈/a〉

Description: The mechanisms by which genetic variation affects transcription regulation and phenotypes at the nucleotide level are incompletely understood. Here we use natural genetic variation as an in vivo mutagenesis screen to assess the genome-wide effects of sequence variation on lineage-determining and signal-specific transcription factor binding, epigenomics and transcriptional outcomes in primary macrophages from different mouse strains. We find substantial genetic evidence to support the concept that lineage-determining transcription factors define epigenetic and transcriptomic states by selecting enhancer-like regions in the genome in a collaborative fashion and facilitating binding of signal-dependent factors. This hierarchical model of transcription factor function suggests that limited sets of genomic data for lineage-determining transcription factors and informative histone modifications can be used for the prioritization of disease-associated regulatory variants.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3994126/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3994126/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Heinz, S -- Romanoski, C E -- Benner, C -- Allison, K A -- Kaikkonen, M U -- Orozco, L D -- Glass, C K -- 5T32DK007494/DK/NIDDK NIH HHS/ -- CA17390/CA/NCI NIH HHS/ -- DK063491/DK/NIDDK NIH HHS/ -- DK091183/DK/NIDDK NIH HHS/ -- P01 DK074868/DK/NIDDK NIH HHS/ -- P30 CA023100/CA/NCI NIH HHS/ -- P30 DK063491/DK/NIDDK NIH HHS/ -- R01 CA173903/CA/NCI NIH HHS/ -- R01 DK091183/DK/NIDDK NIH HHS/ -- T32 AR059033/AR/NIAMS NIH HHS/ -- England -- Nature. 2013 Nov 28;503(7477):487-92. doi: 10.1038/nature12615. Epub 2013 Oct 13.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Department of Cellular and Molecular Medicine, University of California, San Diego, 9500 Gilman Drive, Mail Code 0651, La Jolla, California 92093, USA [2].〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24121437" target="_blank"〉PubMed〈/a〉

Description: Loss of sexual reproduction is considered an evolutionary dead end for metazoans, but bdelloid rotifers challenge this view as they appear to have persisted asexually for millions of years. Neither male sex organs nor meiosis have ever been observed in these microscopic animals: oocytes are formed through mitotic divisions, with no reduction of chromosome number and no indication of chromosome pairing. However, current evidence does not exclude that they may engage in sex on rare, cryptic occasions. Here we report the genome of a bdelloid rotifer, Adineta vaga (Davis, 1873), and show that its structure is incompatible with conventional meiosis. At gene scale, the genome of A. vaga is tetraploid and comprises both anciently duplicated segments and less divergent allelic regions. However, in contrast to sexual species, the allelic regions are rearranged and sometimes even found on the same chromosome. Such structure does not allow meiotic pairing; instead, we find abundant evidence of gene conversion, which may limit the accumulation of deleterious mutations in the absence of meiosis. Gene families involved in resistance to oxidation, carbohydrate metabolism and defence against transposons are significantly expanded, which may explain why transposable elements cover only 3% of the assembled sequence. Furthermore, 8% of the genes are likely to be of non-metazoan origin and were probably acquired horizontally. This apparent convergence between bdelloids and prokaryotes sheds new light on the evolutionary significance of sex.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Flot, Jean-Francois -- Hespeels, Boris -- Li, Xiang -- Noel, Benjamin -- Arkhipova, Irina -- Danchin, Etienne G J -- Hejnol, Andreas -- Henrissat, Bernard -- Koszul, Romain -- Aury, Jean-Marc -- Barbe, Valerie -- Barthelemy, Roxane-Marie -- Bast, Jens -- Bazykin, Georgii A -- Chabrol, Olivier -- Couloux, Arnaud -- Da Rocha, Martine -- Da Silva, Corinne -- Gladyshev, Eugene -- Gouret, Philippe -- Hallatschek, Oskar -- Hecox-Lea, Bette -- Labadie, Karine -- Lejeune, Benjamin -- Piskurek, Oliver -- Poulain, Julie -- Rodriguez, Fernando -- Ryan, Joseph F -- Vakhrusheva, Olga A -- Wajnberg, Eric -- Wirth, Benedicte -- Yushenova, Irina -- Kellis, Manolis -- Kondrashov, Alexey S -- Mark Welch, David B -- Pontarotti, Pierre -- Weissenbach, Jean -- Wincker, Patrick -- Jaillon, Olivier -- Van Doninck, Karine -- England -- Nature. 2013 Aug 22;500(7463):453-7. doi: 10.1038/nature12326. Epub 2013 Jul 21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉University of Namur, Department of Biology, URBE, Laboratory of Evolutionary Genetics and Ecology, 5000 Namur, Belgium. jean-francois.flot@ds.mpg.de〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23873043" target="_blank"〉PubMed〈/a〉

Description: In nuclear pre-messenger RNA splicing, introns are excised by the spliceosome, a dynamic machine composed of both proteins and small nuclear RNAs (snRNAs). Over thirty years ago, after the discovery of self-splicing group II intron RNAs, the snRNAs were proposed to catalyse splicing. However, no definitive evidence for a role of either RNA or protein in catalysis by the spliceosome has been reported so far. By using metal rescue strategies in spliceosomes from budding yeast, here we show that the U6 snRNA catalyses both of the two splicing reactions by positioning divalent metals that stabilize the leaving groups during each reaction. Notably, all of the U6 catalytic metal ligands we identified correspond to the ligands observed to position catalytic, divalent metals in crystal structures of a group II intron RNA. These findings indicate that group II introns and the spliceosome share common catalytic mechanisms and probably common evolutionary origins. Our results demonstrate that RNA mediates catalysis within the spliceosome.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4666680/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4666680/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Fica, Sebastian M -- Tuttle, Nicole -- Novak, Thaddeus -- Li, Nan-Sheng -- Lu, Jun -- Koodathingal, Prakash -- Dai, Qing -- Staley, Jonathan P -- Piccirilli, Joseph A -- 5T32GM008720/GM/NIGMS NIH HHS/ -- R01 GM088656/GM/NIGMS NIH HHS/ -- R01GM088656/GM/NIGMS NIH HHS/ -- England -- Nature. 2013 Nov 14;503(7475):229-34. doi: 10.1038/nature12734. Epub 2013 Nov 6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Graduate Program in Cell and Molecular Biology, The University of Chicago, Chicago, Illinois 60637, USA [2] Department of Molecular Genetics and Cell Biology, Cummings Life Sciences Center, 920 East 58th Street, The University of Chicago, Chicago, Illinois 60637, USA [3].〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24196718" target="_blank"〉PubMed〈/a〉

Description: Cell-surface-receptor binding by influenza viruses is a key determinant of their transmissibility, both from avian and animal species to humans as well as from human to human. Highly pathogenic avian H5N1 viruses that are a threat to public health have been observed to acquire affinity for human receptors, and transmissible-mutant-selection experiments have identified a virus that is transmissible in ferrets, the generally accepted experimental model for influenza in humans. Here, our quantitative biophysical measurements of the receptor-binding properties of haemagglutinin (HA) from the transmissible mutant indicate a small increase in affinity for human receptor and a marked decrease in affinity for avian receptor. From analysis of virus and HA binding data we have derived an algorithm that predicts virus avidity from the affinity of individual HA-receptor interactions. It reveals that the transmissible-mutant virus has a 200-fold preference for binding human over avian receptors. The crystal structure of the transmissible-mutant HA in complex with receptor analogues shows that it has acquired the ability to bind human receptor in the same folded-back conformation as seen for HA from the 1918, 1957 (ref. 4), 1968 (ref. 5) and 2009 (ref. 6) pandemic viruses. This binding mode is substantially different from that by which non-transmissible wild-type H5 virus HA binds human receptor. The structure of the complex also explains how the change in preference from avian to human receptors arises from the Gln226Leu substitution, which facilitates binding to human receptor but restricts binding to avian receptor. Both features probably contribute to the acquisition of transmissibility by this mutant virus.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Xiong, Xiaoli -- Coombs, Peter J -- Martin, Stephen R -- Liu, Junfeng -- Xiao, Haixia -- McCauley, John W -- Locher, Kathrin -- Walker, Philip A -- Collins, Patrick J -- Kawaoka, Yoshihiro -- Skehel, John J -- Gamblin, Steven J -- BB/E010806/Biotechnology and Biological Sciences Research Council/United Kingdom -- MC_U117512723/Medical Research Council/United Kingdom -- MC_U117584222/Medical Research Council/United Kingdom -- U117512723/Medical Research Council/United Kingdom -- U117570592/Medical Research Council/United Kingdom -- U117584222/Medical Research Council/United Kingdom -- England -- Nature. 2013 May 16;497(7449):392-6. doi: 10.1038/nature12144. Epub 2013 Apr 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉MRC National Institute for Medical Research, The Ridgeway, Mill Hill, London NW7 1AA, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23615615" target="_blank"〉PubMed〈/a〉

Description: Cytosolic DNA arising from intracellular bacterial or viral infections is a powerful pathogen-associated molecular pattern (PAMP) that leads to innate immune host defence by the production of type I interferon and inflammatory cytokines. Recognition of cytosolic DNA by the recently discovered cyclic-GMP-AMP (cGAMP) synthase (cGAS) induces the production of cGAMP to activate the stimulator of interferon genes (STING). Here we report the crystal structure of cGAS alone and in complex with DNA, ATP and GTP along with functional studies. Our results explain the broad DNA sensing specificity of cGAS, show how cGAS catalyses dinucleotide formation and indicate activation by a DNA-induced structural switch. cGAS possesses a remarkable structural similarity to the antiviral cytosolic double-stranded RNA sensor 2'-5'oligoadenylate synthase (OAS1), but contains a unique zinc thumb that recognizes B-form double-stranded DNA. Our results mechanistically unify dsRNA and dsDNA innate immune sensing by OAS1 and cGAS nucleotidyl transferases.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3768140/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3768140/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Civril, Filiz -- Deimling, Tobias -- de Oliveira Mann, Carina C -- Ablasser, Andrea -- Moldt, Manuela -- Witte, Gregor -- Hornung, Veit -- Hopfner, Karl-Peter -- 243046/European Research Council/International -- U19 AI083025/AI/NIAID NIH HHS/ -- U19AI083025/AI/NIAID NIH HHS/ -- England -- Nature. 2013 Jun 20;498(7454):332-7. doi: 10.1038/nature12305. Epub 2013 May 30.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry and Gene Center, Ludwig-Maximilians-University, 81377 Munich, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23722159" target="_blank"〉PubMed〈/a〉

Description: Human language, as well as birdsong, relies on the ability to arrange vocal elements in new sequences. However, little is known about the ontogenetic origin of this capacity. Here we track the development of vocal combinatorial capacity in three species of vocal learners, combining an experimental approach in zebra finches (Taeniopygia guttata) with an analysis of natural development of vocal transitions in Bengalese finches (Lonchura striata domestica) and pre-lingual human infants. We find a common, stepwise pattern of acquiring vocal transitions across species. In our first study, juvenile zebra finches were trained to perform one song and then the training target was altered, prompting the birds to swap syllable order, or insert a new syllable into a string. All birds solved these permutation tasks in a series of steps, gradually approximating the target sequence by acquiring new pairwise syllable transitions, sometimes too slowly to accomplish the task fully. Similarly, in the more complex songs of Bengalese finches, branching points and bidirectional transitions in song syntax were acquired in a stepwise fashion, starting from a more restrictive set of vocal transitions. The babbling of pre-lingual human infants showed a similar pattern: instead of a single developmental shift from reduplicated to variegated babbling (that is, from repetitive to diverse sequences), we observed multiple shifts, where each new syllable type slowly acquired a diversity of pairwise transitions, asynchronously over development. Collectively, these results point to a common generative process that is conserved across species, suggesting that the long-noted gap between perceptual versus motor combinatorial capabilities in human infants may arise partly from the challenges in constructing new pairwise vocal transitions.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3676428/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3676428/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lipkind, Dina -- Marcus, Gary F -- Bemis, Douglas K -- Sasahara, Kazutoshi -- Jacoby, Nori -- Takahasi, Miki -- Suzuki, Kenta -- Feher, Olga -- Ravbar, Primoz -- Okanoya, Kazuo -- Tchernichovski, Ofer -- R01 DC004722/DC/NIDCD NIH HHS/ -- England -- Nature. 2013 Jun 6;498(7452):104-8. doi: 10.1038/nature12173. Epub 2013 May 29.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Psychology, Hunter College, City University of New York, New York, NY 10065, USA. dina.lipkind@gmail.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23719373" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉England -- Nature. 2013 Nov 7;503(7474):6.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24218658" target="_blank"〉PubMed〈/a〉