ALBERT

Beschreibung: Systems in thermodynamic equilibrium are not only characterized by time-independent macroscopic properties, but also satisfy the principle of detailed balance in the transitions between microscopic configurations. Living systems function out of equilibrium and are characterized by directed fluxes through chemical states, which violate detailed balance at the molecular scale. Here we introduce a method to probe for broken detailed balance and demonstrate how such nonequilibrium dynamics are manifest at the mesosopic scale. The periodic beating of an isolated flagellum from Chlamydomonas reinhardtii exhibits probability flux in the phase space of shapes. With a model, we show how the breaking of detailed balance can also be quantified in stationary, nonequilibrium stochastic systems in the absence of periodic motion. We further demonstrate such broken detailed balance in the nonperiodic fluctuations of primary cilia of epithelial cells. Our analysis provides a general tool to identify nonequilibrium dynamics in cells and tissues.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Battle, Christopher -- Broedersz, Chase P -- Fakhri, Nikta -- Geyer, Veikko F -- Howard, Jonathon -- Schmidt, Christoph F -- MacKintosh, Fred C -- P50GM068763/GM/NIGMS NIH HHS/ -- R13GM085967/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2016 Apr 29;352(6285):604-7. doi: 10.1126/science.aac8167.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Drittes Physikalisches Institut, Georg-August-Universitat, 37077 Gottingen, Germany. The Kavli Institute for Theoretical Physics, University of California, Santa Barbara, CA 93106, USA. ; The Kavli Institute for Theoretical Physics, University of California, Santa Barbara, CA 93106, USA. Arnold-Sommerfeld-Center for Theoretical Physics and Center for NanoScience, Ludwig-Maximilians-Universitat Munchen, Theresienstrasse 37, D-80333 Munchen, Germany. Lewis-Sigler Institute for Integrative Genomics and Joseph Henry Laboratories of Physics, Princeton University, Princeton, NJ 08544, USA. ; Drittes Physikalisches Institut, Georg-August-Universitat, 37077 Gottingen, Germany. The Kavli Institute for Theoretical Physics, University of California, Santa Barbara, CA 93106, USA. Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. ; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA. ; Drittes Physikalisches Institut, Georg-August-Universitat, 37077 Gottingen, Germany. The Kavli Institute for Theoretical Physics, University of California, Santa Barbara, CA 93106, USA. fcmack@gmail.com christoph.schmidt@phys.uni-goettingen.de. ; The Kavli Institute for Theoretical Physics, University of California, Santa Barbara, CA 93106, USA. Department of Physics and Astronomy, Vrije Universiteit, Amsterdam, Netherlands. fcmack@gmail.com christoph.schmidt@phys.uni-goettingen.de.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27126047" target="_blank"〉PubMed〈/a〉

Beschreibung: The microtubule (MT) cytoskeleton can transmit mechanical signals and resist compression in contracting cardiomyocytes. How MTs perform these roles remains unclear because of difficulties in observing MTs during the rapid contractile cycle. Here, we used high spatial and temporal resolution imaging to characterize MT behavior in beating mouse myocytes. MTs deformed under contractile load into sinusoidal buckles, a behavior dependent on posttranslational "detyrosination" of alpha-tubulin. Detyrosinated MTs associated with desmin at force-generating sarcomeres. When detyrosination was reduced, MTs uncoupled from sarcomeres and buckled less during contraction, which allowed sarcomeres to shorten and stretch with less resistance. Conversely, increased detyrosination promoted MT buckling, stiffened the myocyte, and correlated with impaired function in cardiomyopathy. Thus, detyrosinated MTs represent tunable, compression-resistant elements that may impair cardiac function in disease.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Robison, Patrick -- Caporizzo, Matthew A -- Ahmadzadeh, Hossein -- Bogush, Alexey I -- Chen, Christina Yingxian -- Margulies, Kenneth B -- Shenoy, Vivek B -- Prosser, Benjamin L -- HL089847/HL/NHLBI NIH HHS/ -- HL105993/HL/NHLBI NIH HHS/ -- R00-HL114879/HL/NHLBI NIH HHS/ -- R01EB017753/EB/NIBIB NIH HHS/ -- T32AR053461-09/AR/NIAMS NIH HHS/ -- T32HL007954/HL/NHLBI NIH HHS/ -- New York, N.Y. -- Science. 2016 Apr 22;352(6284):aaf0659. doi: 10.1126/science.aaf0659.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Physiology, Pennsylvania Muscle Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA. ; Department of Materials Science and Engineering, University of Pennsylvania School of Engineering and Applied Science, Philadelphia, PA 19104, USA. ; Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA. ; Department of Physiology, Pennsylvania Muscle Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA. bpros@mail.med.upenn.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27102488" target="_blank"〉PubMed〈/a〉

Beschreibung: 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〉

Beschreibung: 〈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〉

Beschreibung: 〈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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 〈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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 〈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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 〈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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 〈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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: Werner syndrome (WS) is a premature aging disorder caused by WRN protein deficiency. Here, we report on the generation of a human WS model in human embryonic stem cells (ESCs). Differentiation of WRN-null ESCs to mesenchymal stem cells (MSCs) recapitulates features of premature cellular aging, a global loss of H3K9me3, and changes in heterochromatin architecture. We show that WRN associates with heterochromatin proteins SUV39H1 and HP1alpha and nuclear lamina-heterochromatin anchoring protein LAP2beta. Targeted knock-in of catalytically inactive SUV39H1 in wild-type MSCs recapitulates accelerated cellular senescence, resembling WRN-deficient MSCs. Moreover, decrease in WRN and heterochromatin marks are detected in MSCs from older individuals. Our observations uncover a role for WRN in maintaining heterochromatin stability and highlight heterochromatin disorganization as a potential determinant of human aging.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4494668/" 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/PMC4494668/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zhang, Weiqi -- Li, Jingyi -- Suzuki, Keiichiro -- Qu, Jing -- Wang, Ping -- Zhou, Junzhi -- Liu, Xiaomeng -- Ren, Ruotong -- Xu, Xiuling -- Ocampo, Alejandro -- Yuan, Tingting -- Yang, Jiping -- Li, Ying -- Shi, Liang -- Guan, Dee -- Pan, Huize -- Duan, Shunlei -- Ding, Zhichao -- Li, Mo -- Yi, Fei -- Bai, Ruijun -- Wang, Yayu -- Chen, Chang -- Yang, Fuquan -- Li, Xiaoyu -- Wang, Zimei -- Aizawa, Emi -- Goebl, April -- Soligalla, Rupa Devi -- Reddy, Pradeep -- Esteban, Concepcion Rodriguez -- Tang, Fuchou -- Liu, Guang-Hui -- Belmonte, Juan Carlos Izpisua -- F32 AG047770/AG/NIA NIH HHS/ -- New York, N.Y. -- Science. 2015 Jun 5;348(6239):1160-3. doi: 10.1126/science.aaa1356. Epub 2015 Apr 30.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China. ; Biodynamic Optical Imaging Center, College of Life Sciences, Peking University, Beijing 100871, China. ; Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. ; State Key Laboratory of Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China. ; Diagnosis and Treatment Center for Oral Disease, the 306th Hospital of the PLA, Beijing, China. ; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA. ; College of Life Sciences, Peking University, Beijing 100871, China. ; The Center for Anti-aging and Regenerative Medicine, Shenzhen University, Shenzhen 518060, China. ; Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. Universidad Catolica San Antonio de Murcia, Campus de los Jeronimos s/n, 30107 Guadalupe, Murcia, Spain. ; Biodynamic Optical Imaging Center, College of Life Sciences, Peking University, Beijing 100871, China. Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China. Center for Molecular and Translational Medicine (CMTM), Beijing 100101, China. Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China. ghliu@ibp.ac.cn tangfuchou@pku.edu.cn belmonte@salk.edu. ; National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China. The Center for Anti-aging and Regenerative Medicine, Shenzhen University, Shenzhen 518060, China. Center for Molecular and Translational Medicine (CMTM), Beijing 100101, China. Beijing Institute for Brain Disorders, Beijing 100069, China. ghliu@ibp.ac.cn tangfuchou@pku.edu.cn belmonte@salk.edu. ; Gene Expression Laboratory, Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA. ghliu@ibp.ac.cn tangfuchou@pku.edu.cn belmonte@salk.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25931448" target="_blank"〉PubMed〈/a〉

Beschreibung: Human vocal development occurs through two parallel interactive processes that transform infant cries into more mature vocalizations, such as cooing sounds and babbling. First, natural categories of sounds change as the vocal apparatus matures. Second, parental vocal feedback sensitizes infants to certain features of those sounds, and the sounds are modified accordingly. Paradoxically, our closest living ancestors, nonhuman primates, are thought to undergo few or no production-related acoustic changes during development, and any such changes are thought to be impervious to social feedback. Using early and dense sampling, quantitative tracking of acoustic changes, and biomechanical modeling, we showed that vocalizations in infant marmoset monkeys undergo dramatic changes that cannot be solely attributed to simple consequences of growth. Using parental interaction experiments, we found that contingent parental feedback influences the rate of vocal development. These findings overturn decades-old ideas about primate vocalizations and show that marmoset monkeys are a compelling model system for early vocal development in humans.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Takahashi, D Y -- Fenley, A R -- Teramoto, Y -- Narayanan, D Z -- Borjon, J I -- Holmes, P -- Ghazanfar, A A -- New York, N.Y. -- Science. 2015 Aug 14;349(6249):734-8. doi: 10.1126/science.aab1058.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA. Department of Psychology, Princeton University, Princeton, NJ 08544, USA. ; Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA. ; Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA. Department of Mechanical and Aerospace Engineering and Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ 08544, USA. ; Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08544, USA. Department of Psychology, Princeton University, Princeton, NJ 08544, USA. Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26273055" target="_blank"〉PubMed〈/a〉

Beschreibung: Self-organized spatial vegetation patterning is widespread and has been described using models of scale-dependent feedback between plants and water on homogeneous substrates. As rainfall decreases, these models yield a characteristic sequence of patterns with increasingly sparse vegetation, followed by sudden collapse to desert. Thus, the final, spot-like pattern may provide early warning for such catastrophic shifts. In many arid ecosystems, however, termite nests impart substrate heterogeneity by altering soil properties, thereby enhancing plant growth. We show that termite-induced heterogeneity interacts with scale-dependent feedbacks to produce vegetation patterns at different spatial grains. Although the coarse-grained patterning resembles that created by scale-dependent feedback alone, it does not indicate imminent desertification. Rather, mound-field landscapes are more robust to aridity, suggesting that termites may help stabilize ecosystems under global change.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bonachela, Juan A -- Pringle, Robert M -- Sheffer, Efrat -- Coverdale, Tyler C -- Guyton, Jennifer A -- Caylor, Kelly K -- Levin, Simon A -- Tarnita, Corina E -- New York, N.Y. -- Science. 2015 Feb 6;347(6222):651-5. doi: 10.1126/science.1261487.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. ; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. Mpala Research Centre, Post Office Box 555, Nanyuki, Kenya. ; Mpala Research Centre, Post Office Box 555, Nanyuki, Kenya. Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, USA. ; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA. Mpala Research Centre, Post Office Box 555, Nanyuki, Kenya. ctarnita@princeton.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25657247" target="_blank"〉PubMed〈/a〉

Beschreibung: A challenge of synthetic biology is the creation of cooperative microbial systems that exhibit population-level behaviors. Such systems use cellular signaling mechanisms to regulate gene expression across multiple cell types. We describe the construction of a synthetic microbial consortium consisting of two distinct cell types-an "activator" strain and a "repressor" strain. These strains produced two orthogonal cell-signaling molecules that regulate gene expression within a synthetic circuit spanning both strains. The two strains generated emergent, population-level oscillations only when cultured together. Certain network topologies of the two-strain circuit were better at maintaining robust oscillations than others. The ability to program population-level dynamics through the genetic engineering of multiple cooperative strains points the way toward engineering complex synthetic tissues and organs with multiple cell types.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4597888/" 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/PMC4597888/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Chen, Ye -- Kim, Jae Kyoung -- Hirning, Andrew J -- Josic, Kresimir -- Bennett, Matthew R -- R01 GM104974/GM/NIGMS NIH HHS/ -- R01GM104974/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2015 Aug 28;349(6251):986-9. doi: 10.1126/science.aaa3794.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biosciences, Rice University, Houston, TX 77005, USA. ; Department of Mathematical Sciences, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea. Mathematical Biosciences Institute, The Ohio State University, Columbus, OH 43210, USA. ; Department of Mathematics, University of Houston, Houston, TX 77204, USA. Department of Biology and Biochemistry, University of Houston, Houston, TX 77204, USA. ; Department of Biosciences, Rice University, Houston, TX 77005, USA. Institute of Biosciences and Bioengineering, Rice University, Houston, TX 77005, USA. matthew.bennett@rice.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26315440" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Iyengar, Ravi -- Altman, Russ B -- Troyanskya, Olga -- FitzGerald, Garret A -- New York, N.Y. -- Science. 2015 Oct 16;350(6258):282-3. doi: 10.1126/science.aad5204.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. ravi.iyengar@mssm.edu garret@exchange.upenn.edu. ; Department of Bioengineering, Stanford University School of Medicine, Stanford, CA 94305, USA. ; Department of Computer Science and Lewis-Sigler Institute of Integrative Genomics, Princeton University, Princeton, NJ 08544, USA, and Simons Center for Data Analysis, Simons Foundation, New York, NY 10010, USA. ; Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA. ravi.iyengar@mssm.edu garret@exchange.upenn.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26472898" target="_blank"〉PubMed〈/a〉

Beschreibung: Several key tree genera are used in planted forests worldwide, and these represent valuable global resources. Planted forests are increasingly threatened by insects and microbial pathogens, which are introduced accidentally and/or have adapted to new host trees. Globalization has hastened tree pest emergence, despite a growing awareness of the problem, improved understanding of the costs, and an increased focus on the importance of quarantine. To protect the value and potential of planted forests, innovative solutions and a better-coordinated global approach are needed. Mitigation strategies that are effective only in wealthy countries fail to contain invasions elsewhere in the world, ultimately leading to global impacts. Solutions to forest pest problems in the future should mainly focus on integrating management approaches globally, rather than single-country strategies. A global strategy to manage pest issues is vitally important and urgently needed.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wingfield, M J -- Brockerhoff, E G -- Wingfield, B D -- Slippers, B -- New York, N.Y. -- Science. 2015 Aug 21;349(6250):832-6. doi: 10.1126/science.aac6674.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria 0002, South Africa. mike.wingfield@fabi.up.ac.za. ; Scion (New Zealand Forest Research Institute), Post Office Box 23297, Christchurch 8540, New Zealand. ; Department of Genetics, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria 0002, South Africa.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26293956" target="_blank"〉PubMed〈/a〉

Beschreibung: Immune cells function in an interacting hierarchy that coordinates the activities of various cell types according to genetic and environmental contexts. We developed graphical approaches to construct an extensible immune reference map from mass cytometry data of cells from different organs, incorporating landmark cell populations as flags on the map to compare cells from distinct samples. The maps recapitulated canonical cellular phenotypes and revealed reproducible, tissue-specific deviations. The approach revealed influences of genetic variation and circadian rhythms on immune system structure, enabled direct comparisons of murine and human blood cell phenotypes, and even enabled archival fluorescence-based flow cytometry data to be mapped onto the reference framework. This foundational reference map provides a working definition of systemic immune organization to which new data can be integrated to reveal deviations driven by genetics, environment, or pathology.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4537647/" 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/PMC4537647/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Spitzer, Matthew H -- Gherardini, Pier Federico -- Fragiadakis, Gabriela K -- Bhattacharya, Nupur -- Yuan, Robert T -- Hotson, Andrew N -- Finck, Rachel -- Carmi, Yaron -- Zunder, Eli R -- Fantl, Wendy J -- Bendall, Sean C -- Engleman, Edgar G -- Nolan, Garry P -- 1R01CA130826/CA/NCI NIH HHS/ -- 1R01GM109836/GM/NIGMS NIH HHS/ -- 1R01NS089533/NS/NINDS NIH HHS/ -- 1U19AI100627/AI/NIAID NIH HHS/ -- 201303028/PHS HHS/ -- 5-24927/PHS HHS/ -- 5R01AI073724/AI/NIAID NIH HHS/ -- 5U54CA143907/CA/NCI NIH HHS/ -- 7500108142/PHS HHS/ -- F31 CA189331/CA/NCI NIH HHS/ -- F31CA189331/CA/NCI NIH HHS/ -- F32 GM093508/GM/NIGMS NIH HHS/ -- F32 GM093508-01/GM/NIGMS NIH HHS/ -- HHSF223201210194C/PHS HHS/ -- HHSN268201000034C/HV/NHLBI NIH HHS/ -- HHSN272200700038C/AI/NIAID NIH HHS/ -- HHSN272200700038C/PHS HHS/ -- HHSN272201200028C/PHS HHS/ -- K99 GM104148/GM/NIGMS NIH HHS/ -- K99GM104148-01/GM/NIGMS NIH HHS/ -- N01-HV-00242/HV/NHLBI NIH HHS/ -- P01 CA034233/CA/NCI NIH HHS/ -- P01 CA034233-22A1/CA/NCI NIH HHS/ -- PN2 EY018228/EY/NEI NIH HHS/ -- PN2EY018228 0158 G KB065/EY/NEI NIH HHS/ -- R01 AI073724/AI/NIAID NIH HHS/ -- R01 CA130826/CA/NCI NIH HHS/ -- R01 CA184968/CA/NCI NIH HHS/ -- R01 GM109836/GM/NIGMS NIH HHS/ -- R01 NS089533/NS/NINDS NIH HHS/ -- R01CA184968/CA/NCI NIH HHS/ -- R33 CA183654/CA/NCI NIH HHS/ -- R33 CA183692/CA/NCI NIH HHS/ -- RFA CA 09-009/CA/NCI NIH HHS/ -- RFA CA 09-011/CA/NCI NIH HHS/ -- T32 GM007276/GM/NIGMS NIH HHS/ -- T32GM007276/GM/NIGMS NIH HHS/ -- U19 AI057229/AI/NIAID NIH HHS/ -- U19 AI100627/AI/NIAID NIH HHS/ -- U54 CA149145/CA/NCI NIH HHS/ -- U54CA149145/CA/NCI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Jul 10;349(6244):1259425. doi: 10.1126/science.1259425.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Baxter Laboratory in Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA. Department of Pathology, Stanford University, Stanford, CA 94305, USA. Program in Immunology, Stanford University, Stanford, CA 94305, USA. gnolan@stanford.edu matthew.spitzer@stanford.edu. ; Baxter Laboratory in Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA. ; Department of Pathology, Stanford University, Stanford, CA 94305, USA. ; Department of Pathology, Stanford University, Stanford, CA 94305, USA. Program in Immunology, Stanford University, Stanford, CA 94305, USA. ; Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Stanford University, Stanford, CA 94305, USA. ; Baxter Laboratory in Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA. Program in Immunology, Stanford University, Stanford, CA 94305, USA. gnolan@stanford.edu matthew.spitzer@stanford.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26160952" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Balter, Michael -- New York, N.Y. -- Science. 2015 Oct 30;350(6260):492-3. doi: 10.1126/science.350.6260.492.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26516260" target="_blank"〉PubMed〈/a〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 〈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〉

Beschreibung: 〈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〉

Beschreibung: 〈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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 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〉

Beschreibung: 〈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〉

Beschreibung: 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〉

Beschreibung: Reprogramming of somatic cell nuclei to yield induced pluripotent stem (iPS) cells makes possible derivation of patient-specific stem cells for regenerative medicine. However, iPS cell generation is asynchronous and slow (2-3 weeks), the frequency is low (〈0.1%), and DNA demethylation constitutes a bottleneck. To determine regulatory mechanisms involved in reprogramming, we generated interspecies heterokaryons (fused mouse embryonic stem (ES) cells and human fibroblasts) that induce reprogramming synchronously, frequently and fast. Here we show that reprogramming towards pluripotency in single heterokaryons is initiated without cell division or DNA replication, rapidly (1 day) and efficiently (70%). Short interfering RNA (siRNA)-mediated knockdown showed that activation-induced cytidine deaminase (AID, also known as AICDA) is required for promoter demethylation and induction of OCT4 (also known as POU5F1) and NANOG gene expression. AID protein bound silent methylated OCT4 and NANOG promoters in fibroblasts, but not active demethylated promoters in ES cells. These data provide new evidence that mammalian AID is required for active DNA demethylation and initiation of nuclear reprogramming towards pluripotency in human somatic cells.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2906123/" 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/PMC2906123/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Bhutani, Nidhi -- Brady, Jennifer J -- Damian, Mara -- Sacco, Alessandra -- Corbel, Stephane Y -- Blau, Helen M -- AG009521/AG/NIA NIH HHS/ -- AG024987/AG/NIA NIH HHS/ -- AI007328/AI/NIAID NIH HHS/ -- R01 AG009521/AG/NIA NIH HHS/ -- R01 AG009521-25/AG/NIA NIH HHS/ -- R01 AG024987/AG/NIA NIH HHS/ -- R01 AG024987-05/AG/NIA NIH HHS/ -- T32 AI007328/AI/NIAID NIH HHS/ -- U01 HL100397/HL/NHLBI NIH HHS/ -- England -- Nature. 2010 Feb 25;463(7284):1042-7. doi: 10.1038/nature08752.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Baxter Laboratory for Stem Cell Biology, Institute for Stem Cell Biology and Regenerative Medicine, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, California 94305-5175, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20027182" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Reiff, Sarah B -- Striepen, Boris -- England -- Nature. 2009 Jun 18;459(7249):918-9. doi: 10.1038/459918a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19536248" target="_blank"〉PubMed〈/a〉

Beschreibung: An important challenge in systems biology is to quantitatively describe microbial growth using a few measurable parameters that capture the essence of this complex phenomenon. Two key events at the cell membrane-extracellular glucose sensing and uptake-initiate the budding yeast's growth on glucose. However, conventional growth models focus almost exclusively on glucose uptake. Here we present results from growth-rate experiments that cannot be explained by focusing on glucose uptake alone. By imposing a glucose uptake rate independent of the sensed extracellular glucose level, we show that despite increasing both the sensed glucose concentration and uptake rate, the cell's growth rate can decrease or even approach zero. We resolve this puzzle by showing that the interaction between glucose perception and import, not their individual actions, determines the central features of growth, and characterize this interaction using a quantitative model. Disrupting this interaction by knocking out two key glucose sensors significantly changes the cell's growth rate, yet uptake rates are unchanged. This is due to a decrease in burden that glucose perception places on the cells. Our work shows that glucose perception and import are separate and pivotal modules of yeast growth, the interaction of which can be precisely tuned and measured.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2796206/" 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/PMC2796206/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Youk, Hyun -- van Oudenaarden, Alexander -- DP1 OD003936/OD/NIH HHS/ -- DP1 OD003936-01/OD/NIH HHS/ -- DP1 OD003936-02/OD/NIH HHS/ -- R01 GM068957/GM/NIGMS NIH HHS/ -- R01 GM068957-06/GM/NIGMS NIH HHS/ -- R01 GM068957-07/GM/NIGMS NIH HHS/ -- England -- Nature. 2009 Dec 17;462(7275):875-9. doi: 10.1038/nature08653.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20016593" target="_blank"〉PubMed〈/a〉

Beschreibung: It is widely accepted that tissue differentiation and morphogenesis in multicellular organisms are regulated by tightly controlled concentration gradients of morphogens. How exactly these gradients are formed, however, remains unclear. Here we show that Fgf8 morphogen gradients in living zebrafish embryos are established and maintained by two essential factors: fast, free diffusion of single molecules away from the source through extracellular space, and a sink function of the receiving cells, regulated by receptor-mediated endocytosis. Evidence is provided by directly examining single molecules of Fgf8 in living tissue by fluorescence correlation spectroscopy, quantifying their local mobility and concentration with high precision. By changing the degree of uptake of Fgf8 into its target cells, we are able to alter the shape of the Fgf8 gradient. Our results demonstrate that a freely diffusing morphogen can set up concentration gradients in a complex multicellular tissue by a simple source-sink mechanism.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yu, Shuizi Rachel -- Burkhardt, Markus -- Nowak, Matthias -- Ries, Jonas -- Petrasek, Zdenek -- Scholpp, Steffen -- Schwille, Petra -- Brand, Michael -- England -- Nature. 2009 Sep 24;461(7263):533-6. doi: 10.1038/nature08391. Epub 2009 Sep 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Developmental Genetics, Biotechnology Center, TUD, Tatzberg 47-49, 01307 Dresden, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19741606" target="_blank"〉PubMed〈/a〉

Beschreibung: Several hundred malaria parasite proteins are exported beyond an encasing vacuole and into the cytosol of the host erythrocyte, a process that is central to the virulence and viability of the causative Plasmodium species. The trafficking machinery responsible for this export is unknown. Here we identify in Plasmodium falciparum a translocon of exported proteins (PTEX), which is located in the vacuole membrane. The PTEX complex is ATP-powered, and comprises heat shock protein 101 (HSP101; a ClpA/B-like ATPase from the AAA+ superfamily, of a type commonly associated with protein translocons), a novel protein termed PTEX150 and a known parasite protein, exported protein 2 (EXP2). EXP2 is the potential channel, as it is the membrane-associated component of the core PTEX complex. Two other proteins, a new protein PTEX88 and thioredoxin 2 (TRX2), were also identified as PTEX components. As a common portal for numerous crucial processes, this translocon offers a new avenue for therapeutic intervention.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2725363/" 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/PMC2725363/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉de Koning-Ward, Tania F -- Gilson, Paul R -- Boddey, Justin A -- Rug, Melanie -- Smith, Brian J -- Papenfuss, Anthony T -- Sanders, Paul R -- Lundie, Rachel J -- Maier, Alexander G -- Cowman, Alan F -- Crabb, Brendan S -- R01 AI044008-11/AI/NIAID NIH HHS/ -- R01 AI44008/AI/NIAID NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2009 Jun 18;459(7249):945-9. doi: 10.1038/nature08104.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Walter & Eliza Hall Institute of Medical Research, Melbourne 3052, Australia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19536257" target="_blank"〉PubMed〈/a〉

Beschreibung: In recent years, strikingly consistent patterns of biodiversity have been identified over space, time, organism type and geographical region. A neutral theory (assuming no environmental selection or organismal interactions) has been shown to predict many patterns of ecological biodiversity. This theory is based on a mechanism by which new species arise similarly to point mutations in a population without sexual reproduction. Here we report the simulation of populations with sexual reproduction, mutation and dispersal. We found simulated time dependence of speciation rates, species-area relationships and species abundance distributions consistent with the behaviours found in nature. From our results, we predict steady speciation rates, more species in one-dimensional environments than two-dimensional environments, three scaling regimes of species-area relationships and lognormal distributions of species abundance with an excess of rare species and a tail that may be approximated by Fisher's logarithmic series. These are consistent with dependences reported for, among others, global birds and flowering plants, marine invertebrate fossils, ray-finned fishes, British birds and moths, North American songbirds, mammal fossils from Kansas and Panamanian shrubs. Quantitative comparisons of specific cases are remarkably successful. Our biodiversity results provide additional evidence that species diversity arises without specific physical barriers. This is similar to heavy traffic flows, where traffic jams can form even without accidents or barriers.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉de Aguiar, M A M -- Baranger, M -- Baptestini, E M -- Kaufman, L -- Bar-Yam, Y -- England -- Nature. 2009 Jul 16;460(7253):384-7. doi: 10.1038/nature08168.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉New England Complex Systems Institute, Cambridge, Massachusetts 02138, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19606148" target="_blank"〉PubMed〈/a〉

Beschreibung: Autonomous and self-sustained oscillator circuits mediating the periodic induction of specific target genes are minimal genetic time-keeping devices found in the central and peripheral circadian clocks. They have attracted significant attention because of their intriguing dynamics and their importance in controlling critical repair, metabolic and signalling pathways. The precise molecular mechanism and expression dynamics of this mammalian circadian clock are still not fully understood. Here we describe a synthetic mammalian oscillator based on an auto-regulated sense-antisense transcription control circuit encoding a positive and a time-delayed negative feedback loop, enabling autonomous, self-sustained and tunable oscillatory gene expression. After detailed systems design with experimental analyses and mathematical modelling, we monitored oscillating concentrations of green fluorescent protein with tunable frequency and amplitude by time-lapse microscopy in real time in individual Chinese hamster ovary cells. The synthetic mammalian clock may provide an insight into the dynamics of natural periodic processes and foster advances in the design of prosthetic networks in future gene and cell therapies.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tigges, Marcel -- Marquez-Lago, Tatiana T -- Stelling, Jorg -- Fussenegger, Martin -- England -- Nature. 2009 Jan 15;457(7227):309-12. doi: 10.1038/nature07616.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, CH-4058 Basel, Switzerland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19148099" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Todes, Daniel -- England -- Nature. 2009 Nov 5;462(7269):36-7. doi: 10.1038/462036a.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute of the History of Medicine at Johns Hopkins University, 1900 East Monument Street, Baltimore, Maryland 21205, USA. dtodes@jhmi.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19890312" target="_blank"〉PubMed〈/a〉

Beschreibung: During cell division microtubules capture chromosomes by binding to the kinetochore assembled in the centromeric region of chromosomes. In mitosis sister chromatids are captured by microtubules emanating from both spindle poles, a process called bipolar attachment, whereas in meiosis I sisters are attached to microtubules originating from one spindle pole, called monopolar attachment. For determining chromosome orientation, kinetochore geometry or structure might be an important target of regulation. However, the molecular basis of this regulation has remained elusive. Here we show the link between kinetochore orientation and cohesion within the centromere in fission yeast Schizosaccharomyces pombe by strategies developed to visualize the concealed cohesion within the centromere, and to introduce artificial tethers that can influence kinetochore geometry. Our data imply that cohesion at the core centromere induces the mono-orientation of kinetochores whereas cohesion at the peri-centromeric region promotes bi-orientation. Our study may reveal a general mechanism for the geometric regulation of kinetochores, which collaborates with previously defined tension-dependent reorientation machinery.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sakuno, Takeshi -- Tada, Kenji -- Watanabe, Yoshinori -- England -- Nature. 2009 Apr 16;458(7240):852-8. doi: 10.1038/nature07876.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory of Chromosome Dynamics, Institute of Molecular and Cellular Biosciences, University of Tokyo, Yayoi, Tokyo 113-0032, Japan.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19370027" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Abbondanzieri, Elio A -- Zhuang, Xiaowei -- England -- Nature. 2009 Jan 22;457(7228):392-3. doi: 10.1038/457392a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19158782" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Muller-Landau, Helene C -- England -- Nature. 2009 Feb 19;457(7232):969-70. doi: 10.1038/457969a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19225510" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tonzani, Stefano -- England -- Nature. 2009 Feb 19;457(7232):974. doi: 10.1038/457974a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19225516" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kutschera, U -- England -- Nature. 2009 Apr 23;458(7241):967. doi: 10.1038/458967c.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19396120" target="_blank"〉PubMed〈/a〉

Beschreibung: Direct reprogramming of somatic cells into induced pluripotent stem (iPS) cells can be achieved by overexpression of Oct4, Sox2, Klf4 and c-Myc transcription factors, but only a minority of donor somatic cells can be reprogrammed to pluripotency. Here we demonstrate that reprogramming by these transcription factors is a continuous stochastic process where almost all mouse donor cells eventually give rise to iPS cells on continued growth and transcription factor expression. Additional inhibition of the p53/p21 pathway or overexpression of Lin28 increased the cell division rate and resulted in an accelerated kinetics of iPS cell formation that was directly proportional to the increase in cell proliferation. In contrast, Nanog overexpression accelerated reprogramming in a predominantly cell-division-rate-independent manner. Quantitative analyses define distinct cell-division-rate-dependent and -independent modes for accelerating the stochastic course of reprogramming, and suggest that the number of cell divisions is a key parameter driving epigenetic reprogramming to pluripotency.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2789972/" 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/PMC2789972/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hanna, Jacob -- Saha, Krishanu -- Pando, Bernardo -- van Zon, Jeroen -- Lengner, Christopher J -- Creyghton, Menno P -- van Oudenaarden, Alexander -- Jaenisch, Rudolf -- R01 CA087869/CA/NCI NIH HHS/ -- R01 CA087869-09/CA/NCI NIH HHS/ -- R01 HD045022/HD/NICHD NIH HHS/ -- R01 HD045022-06/HD/NICHD NIH HHS/ -- R01-CA087869/CA/NCI NIH HHS/ -- R01-HDO45022/PHS HHS/ -- R37 CA084198/CA/NCI NIH HHS/ -- R37 CA084198-09/CA/NCI NIH HHS/ -- R37-CA084198/CA/NCI NIH HHS/ -- U54CA143874/CA/NCI NIH HHS/ -- England -- Nature. 2009 Dec 3;462(7273):595-601. doi: 10.1038/nature08592. Epub 2009 Nov 8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, USA. Hanna@wi.mit.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19898493" target="_blank"〉PubMed〈/a〉

Beschreibung: Explaining the ecological causes of evolutionary diversification is a major focus of biology, but surprisingly little has been said about the effects of evolutionary diversification on ecosystems. The number of species in an ecosystem and their traits are key predictors of many ecosystem-level processes, such as rates of productivity, biomass sequestration and decomposition. Here we demonstrate short-term ecosystem-level effects of adaptive radiation in the threespine stickleback (Gasterosteus aculeatus) over the past 10,000 years. These fish have undergone recent parallel diversification in several lakes in coastal British Columbia, resulting in the formation of two specialized species (benthic and limnetic) from a generalist ancestor. Using a mesocosm experiment, we demonstrate that this diversification has strong effects on ecosystems, affecting prey community structure, total primary production, and the nature of dissolved organic materials that regulate the spectral properties of light transmission in the system. However, these ecosystem effects do not simply increase in their relative strength with increasing specialization and species richness; instead, they reflect the complex and indirect consequences of ecosystem engineering by sticklebacks. It is well known that ecological factors influence adaptive radiation. We demonstrate that adaptive radiation, even over short timescales, can have profound effects on ecosystems.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Harmon, Luke J -- Matthews, Blake -- Des Roches, Simone -- Chase, Jonathan M -- Shurin, Jonathan B -- Schluter, Dolph -- England -- Nature. 2009 Apr 30;458(7242):1167-70. doi: 10.1038/nature07974. Epub 2009 Apr 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biological Sciences, University of Idaho, Moscow, Idaho 83844-3051, USA. lukeh@uidaho.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19339968" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Aguzzi, Adriano -- England -- Nature. 2009 Jun 18;459(7249):924-5. doi: 10.1038/459924a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19536253" target="_blank"〉PubMed〈/a〉

Beschreibung: Down Syndrome cell adhesion molecule (Dscam) genes encode neuronal cell recognition proteins of the immunoglobulin superfamily. In Drosophila, Dscam1 generates 19,008 different ectodomains by alternative splicing of three exon clusters, each encoding half or a complete variable immunoglobulin domain. Identical isoforms bind to each other, but rarely to isoforms differing at any one of the variable immunoglobulin domains. Binding between isoforms on opposing membranes promotes repulsion. Isoform diversity provides the molecular basis for neurite self-avoidance. Self-avoidance refers to the tendency of branches from the same neuron (self-branches) to selectively avoid one another. To ensure that repulsion is restricted to self-branches, different neurons express different sets of isoforms in a biased stochastic fashion. Genetic studies demonstrated that Dscam1 diversity has a profound role in wiring the fly brain. Here we show how many isoforms are required to provide an identification system that prevents non-self branches from inappropriately recognizing each other. Using homologous recombination, we generated mutant animals encoding 12, 24, 576 and 1,152 potential isoforms. Mutant animals with deletions encoding 4,752 and 14,256 isoforms were also analysed. Branching phenotypes were assessed in three classes of neurons. Branching patterns improved as the potential number of isoforms increased, and this was independent of the identity of the isoforms. Although branching defects in animals with 1,152 potential isoforms remained substantial, animals with 4,752 isoforms were indistinguishable from wild-type controls. Mathematical modelling studies were consistent with the experimental results that thousands of isoforms are necessary to ensure acquisition of unique Dscam1 identities in many neurons. We conclude that thousands of isoforms are essential to provide neurons with a robust discrimination mechanism to distinguish between self and non-self during self-avoidance.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2836808/" 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/PMC2836808/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hattori, Daisuke -- Chen, Yi -- Matthews, Benjamin J -- Salwinski, Lukasz -- Sabatti, Chiara -- Grueber, Wesley B -- Zipursky, S Lawrence -- F31 NS060341/NS/NINDS NIH HHS/ -- R01 DC006485/DC/NIDCD NIH HHS/ -- R01 DC006485-07/DC/NIDCD NIH HHS/ -- R01 HD040279/HD/NICHD NIH HHS/ -- R01 HD040279-05/HD/NICHD NIH HHS/ -- T32 HD007430/HD/NICHD NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2009 Oct 1;461(7264):644-8. doi: 10.1038/nature08431.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biological Chemistry, Howard Hughes Medical Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California 90095, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19794492" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nicholls, Henry -- England -- Nature. 2009 Sep 10;461(7261):164-6. doi: 10.1038/461164a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19741680" target="_blank"〉PubMed〈/a〉

Beschreibung: The assembly of complex structures out of simple colloidal building blocks is of practical interest for building materials with unique optical properties (for example photonic crystals and DNA biosensors) and is of fundamental importance in improving our understanding of self-assembly processes occurring on molecular to macroscopic length scales. Here we demonstrate a self-assembly principle that is capable of organizing a diverse set of colloidal particles into highly reproducible, rotationally symmetric arrangements. The structures are assembled using the magnetostatic interaction between effectively diamagnetic and paramagnetic particles within a magnetized ferrofluid. The resulting multipolar geometries resemble electrostatic charge configurations such as axial quadrupoles ('Saturn rings'), axial octupoles ('flowers'), linear quadrupoles (poles) and mixed multipole arrangements ('two tone'), which represent just a few examples of the type of structure that can be built using this technique.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Erb, Randall M -- Son, Hui S -- Samanta, Bappaditya -- Rotello, Vincent M -- Yellen, Benjamin B -- England -- Nature. 2009 Feb 19;457(7232):999-1002. doi: 10.1038/nature07766.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Duke University, Department of Mechanical Engineering and Materials Science, Center for Biologically Inspired Materials and Material Systems, Box 90300, Hudson Hall, Durham, North Carolina 27708, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19225522" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Allen, Nicola J -- Barres, Ben A -- England -- Nature. 2009 Feb 5;457(7230):675-7. doi: 10.1038/457675a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19194443" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Vasquez, Valeria -- Perozo, Eduardo -- England -- Nature. 2009 Sep 3;461(7260):47-9. doi: 10.1038/461047a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19727188" target="_blank"〉PubMed〈/a〉

Beschreibung: Spatially synchronized fluctuations in system state are common in physical and biological systems ranging from individual atoms to species as diverse as viruses, insects and mammals. Although the causal factors are well known for many synchronized phenomena, several processes concurrently have an impact on spatial synchrony of species, making their separate effects and interactions difficult to quantify. Here we develop a general stochastic model of predator-prey spatial dynamics to predict the outcome of a laboratory microcosm experiment testing for interactions among all known synchronizing factors: (1) dispersal of individuals between populations; (2) spatially synchronous fluctuations in exogenous environmental factors (the Moran effect); and (3) interactions with other species (for example, predators) that are themselves spatially synchronized. The Moran effect synchronized populations of the ciliate protist Tetrahymena pyriformis; however, dispersal only synchronized prey populations in the presence of the predator Euplotes patella. Both model and data indicate that synchrony depends on cyclic dynamics generated by the predator. Dispersal, but not the Moran effect, 'phase-locks' cycles, which otherwise become 'decoherent' and drift out of phase. In the absence of cycles, phase-locking is not possible and the synchronizing effect of dispersal is negligible. Interspecific interactions determine population synchrony, not by providing an additional source of synchronized fluctuations, but by altering population dynamics and thereby enhancing the action of dispersal. Our results are robust to wide variation in model parameters representative of many natural predator-prey or host-pathogen systems. This explains why cyclic systems provide many of the most dramatic examples of spatial synchrony in nature.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Vasseur, David A -- Fox, Jeremy W -- England -- Nature. 2009 Aug 20;460(7258):1007-10. doi: 10.1038/nature08208. Epub 2009 Jul 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut 06520, USA. david.vasseur@yale.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19626006" target="_blank"〉PubMed〈/a〉

Beschreibung: Natural products containing phosphorus-carbon bonds have found widespread use in medicine and agriculture. One such compound, phosphinothricin tripeptide, contains the unusual amino acid phosphinothricin attached to two alanine residues. Synthetic phosphinothricin (glufosinate) is a component of two top-selling herbicides (Basta and Liberty), and is widely used with resistant transgenic crops including corn, cotton and canola. Recent genetic and biochemical studies showed that during phosphinothricin tripeptide biosynthesis 2-hydroxyethylphosphonate (HEP) is converted to hydroxymethylphosphonate (HMP). Here we report the in vitro reconstitution of this unprecedented C(sp(3))-C(sp(3)) bond cleavage reaction and X-ray crystal structures of the enzyme. The protein is a mononuclear non-haem iron(ii)-dependent dioxygenase that converts HEP to HMP and formate. In contrast to most other members of this family, the oxidative consumption of HEP does not require additional cofactors or the input of exogenous electrons. The current study expands the scope of reactions catalysed by the 2-His-1-carboxylate mononuclear non-haem iron family of enzymes.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2874955/" 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/PMC2874955/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Cicchillo, Robert M -- Zhang, Houjin -- Blodgett, Joshua A V -- Whitteck, John T -- Li, Gongyong -- Nair, Satish K -- van der Donk, Wilfred A -- Metcalf, William W -- P01 GM077596/GM/NIGMS NIH HHS/ -- P01 GM077596-03/GM/NIGMS NIH HHS/ -- R01 GM059334/GM/NIGMS NIH HHS/ -- R01 GM059334-09/GM/NIGMS NIH HHS/ -- R01 GM59334/GM/NIGMS NIH HHS/ -- England -- Nature. 2009 Jun 11;459(7248):871-4. doi: 10.1038/nature07972.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19516340" target="_blank"〉PubMed〈/a〉

Beschreibung: Ecological communities characteristically contain a wide diversity of species with important functional, economic and aesthetic value. Ecologists have long questioned how this diversity is maintained. Classic theory shows that stable coexistence requires competitors to differ in their niches; this has motivated numerous investigations of ecological differences presumed to maintain diversity. That niche differences are key to coexistence, however, has recently been challenged by the neutral theory of biodiversity, which explains coexistence with the equivalence of competitors. The ensuing controversy has motivated calls for a better understanding of the collective importance of niche differences for the diversity observed in ecological communities. Here we integrate theory and experimentation to show that niche differences collectively stabilize the dynamics of experimental communities of serpentine annual plants. We used field-parameterized population models to develop a null expectation for community dynamics without the stabilizing effects of niche differences. The population growth rates predicted by this null model varied by several orders of magnitude between species, which is sufficient for rapid competitive exclusion. Moreover, after two generations of community change in the field, Shannon diversity was over 50 per cent greater in communities stabilized by niche differences relative to those exhibiting dynamics predicted by the null model. Finally, in an experiment manipulating species' relative abundances, population growth rates increased when species became rare--the demographic signature of niche differences. Our work thus provides strong evidence that species differences have a critical role in stabilizing species diversity.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Levine, Jonathan M -- HilleRisLambers, Janneke -- England -- Nature. 2009 Sep 10;461(7261):254-7. doi: 10.1038/nature08251. Epub 2009 Aug 12.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, California 93106, USA. levine@lifesci.ucsb.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19675568" target="_blank"〉PubMed〈/a〉

Beschreibung: The response of terrestrial vegetation to a globally changing environment is central to predictions of future levels of atmospheric carbon dioxide. The role of tropical forests is critical because they are carbon-dense and highly productive. Inventory plots across Amazonia show that old-growth forests have increased in carbon storage over recent decades, but the response of one-third of the world's tropical forests in Africa is largely unknown owing to an absence of spatially extensive observation networks. Here we report data from a ten-country network of long-term monitoring plots in African tropical forests. We find that across 79 plots (163 ha) above-ground carbon storage in live trees increased by 0.63 Mg C ha(-1) yr(-1) between 1968 and 2007 (95% confidence interval (CI), 0.22-0.94; mean interval, 1987-96). Extrapolation to unmeasured forest components (live roots, small trees, necromass) and scaling to the continent implies a total increase in carbon storage in African tropical forest trees of 0.34 Pg C yr(-1) (CI, 0.15-0.43). These reported changes in carbon storage are similar to those reported for Amazonian forests per unit area, providing evidence that increasing carbon storage in old-growth forests is a pan-tropical phenomenon. Indeed, combining all standardized inventory data from this study and from tropical America and Asia together yields a comparable figure of 0.49 Mg C ha(-1) yr(-1) (n = 156; 562 ha; CI, 0.29-0.66; mean interval, 1987-97). This indicates a carbon sink of 1.3 Pg C yr(-1) (CI, 0.8-1.6) across all tropical forests during recent decades. Taxon-specific analyses of African inventory and other data suggest that widespread changes in resource availability, such as increasing atmospheric carbon dioxide concentrations, may be the cause of the increase in carbon stocks, as some theory and models predict.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lewis, Simon L -- Lopez-Gonzalez, Gabriela -- Sonke, Bonaventure -- Affum-Baffoe, Kofi -- Baker, Timothy R -- Ojo, Lucas O -- Phillips, Oliver L -- Reitsma, Jan M -- White, Lee -- Comiskey, James A -- Djuikouo K, Marie-Noel -- Ewango, Corneille E N -- Feldpausch, Ted R -- Hamilton, Alan C -- Gloor, Manuel -- Hart, Terese -- Hladik, Annette -- Lloyd, Jon -- Lovett, Jon C -- Makana, Jean-Remy -- Malhi, Yadvinder -- Mbago, Frank M -- Ndangalasi, Henry J -- Peacock, Julie -- Peh, Kelvin S-H -- Sheil, Douglas -- Sunderland, Terry -- Swaine, Michael D -- Taplin, James -- Taylor, David -- Thomas, Sean C -- Votere, Raymond -- Woll, Hannsjorg -- England -- Nature. 2009 Feb 19;457(7232):1003-6. doi: 10.1038/nature07771.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Earth and Biosphere Institute, School of Geography, University of Leeds, Leeds LS2 9JT, UK. s.l.lewis@leeds.ac.uk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19225523" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Clark, Andrew J -- Summers, Adam P -- England -- Nature. 2009 Jun 18;459(7249):919-20. doi: 10.1038/459919a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19536249" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Seastedt, Tim -- England -- Nature. 2009 Jun 11;459(7248):783-4. doi: 10.1038/459783a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19516327" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Seehausen, Ole -- England -- Nature. 2009 Apr 30;458(7242):1122-3. doi: 10.1038/4581122a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19407790" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sendtner, Michael -- England -- Nature. 2009 Jan 15;457(7227):269-70. doi: 10.1038/457269a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19148087" target="_blank"〉PubMed〈/a〉

Beschreibung: Environmental conditions during the past 24 million years are thought to have been favourable for enhanced rates of atmospheric carbon dioxide drawdown by silicate chemical weathering. Proxy records indicate, however, that the Earth's atmospheric carbon dioxide concentrations did not fall below about 200-250 parts per million during this period. The stabilization of atmospheric carbon dioxide concentrations near this minimum value suggests that strong negative feedback mechanisms inhibited further drawdown of atmospheric carbon dioxide by high rates of global silicate rock weathering. Here we investigate one possible negative feedback mechanism, occurring under relatively low carbon dioxide concentrations and in warm climates, that is related to terrestrial plant productivity and its role in the decomposition of silicate minerals. We use simulations of terrestrial and geochemical carbon cycles and available experimental evidence to show that vegetation activity in upland regions of active orogens was severely limited by near-starvation of carbon dioxide in combination with global warmth over this period. These conditions diminished biotic-driven silicate rock weathering and thereby attenuated an important long-term carbon dioxide sink. Although our modelling results are semi-quantitative and do not capture the full range of biogeochemical feedbacks that could influence the climate, our analysis indicates that the dynamic equilibrium between plants, climate and the geosphere probably buffered the minimum atmospheric carbon dioxide concentrations over the past 24 million years.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pagani, Mark -- Caldeira, Ken -- Berner, Robert -- Beerling, David J -- England -- Nature. 2009 Jul 2;460(7251):85-8. doi: 10.1038/nature08133.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Geology and Geophysics, Yale University, New Haven, Connecticut 06520, USA. mark.pagani@yale.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19571882" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Friend, Stephen -- Schadt, Eric -- England -- Nature. 2009 Mar 5;458(7234):13. doi: 10.1038/458013a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19262635" target="_blank"〉PubMed〈/a〉

Beschreibung: Genomic DNA is replicated by two DNA polymerase molecules, one of which works in close association with the helicase to copy the leading-strand template in a continuous manner while the second copies the already unwound lagging-strand template in a discontinuous manner through the synthesis of Okazaki fragments. Considering that the lagging-strand polymerase has to recycle after the completion of every Okazaki fragment through the slow steps of primer synthesis and hand-off to the polymerase, it is not understood how the two strands are synthesized with the same net rate. Here we show, using the T7 replication proteins, that RNA primers are made 'on the fly' during ongoing DNA synthesis and that the leading-strand T7 replisome does not pause during primer synthesis, contrary to previous reports. Instead, the leading-strand polymerase remains limited by the speed of the helicase; it therefore synthesizes DNA more slowly than the lagging-strand polymerase. We show that the primase-helicase T7 gp4 maintains contact with the priming sequence during ongoing DNA synthesis; the nascent lagging-strand template therefore organizes into a priming loop that keeps the primer in physical proximity to the replication complex. Our findings provide three synergistic mechanisms of coordination: first, primers are made concomitantly with DNA synthesis; second, the priming loop ensures efficient primer use and hand-off to the polymerase; and third, the lagging-strand polymerase copies DNA faster, which allows it to keep up with leading-strand DNA synthesis overall.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896039/" 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/PMC2896039/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pandey, Manjula -- Syed, Salman -- Donmez, Ilker -- Patel, Gayatri -- Ha, Taekjip -- Patel, Smita S -- GM065367/GM/NIGMS NIH HHS/ -- GM55310/GM/NIGMS NIH HHS/ -- R01 GM055310/GM/NIGMS NIH HHS/ -- R01 GM055310-14/GM/NIGMS NIH HHS/ -- R01 GM065367/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2009 Dec 17;462(7275):940-3. doi: 10.1038/nature08611. Epub 2009 Nov 18.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry, University of Medicine and Dentistry of New Jersey-Robert Wood Johnson Medical School, Piscataway, New Jersey 08854, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19924126" target="_blank"〉PubMed〈/a〉

Beschreibung: The ability of cells to sense and respond to mechanical force underlies diverse processes such as touch and hearing in animals, gravitropism in plants, and bacterial osmoregulation. In bacteria, mechanosensation is mediated by the mechanosensitive channels of large (MscL), small (MscS), potassium-dependent (MscK) and mini (MscM) conductances. These channels act as 'emergency relief valves' protecting bacteria from lysis upon acute osmotic down-shock. Among them, MscL has been intensively studied since the original identification and characterization 15 years ago. MscL is reversibly and directly gated by changes in membrane tension. In the open state, MscL forms a non-selective 3 nS conductance channel which gates at tensions close to the lytic limit of the bacterial membrane. An earlier crystal structure at 3.5 A resolution of a pentameric MscL from Mycobacterium tuberculosis represents a closed-state or non-conducting conformation. MscL has a complex gating behaviour; it exhibits several intermediates between the closed and open states, including one putative non-conductive expanded state and at least three sub-conducting states. Although our understanding of the closed and open states of MscL has been increasing, little is known about the structures of the intermediate states despite their importance in elucidating the complete gating process of MscL. Here we present the crystal structure of a carboxy-terminal truncation mutant (Delta95-120) of MscL from Staphylococcus aureus (SaMscL(CDelta26)) at 3.8 A resolution. Notably, SaMscL(CDelta26) forms a tetrameric channel with both transmembrane helices tilted away from the membrane normal at angles close to that inferred for the open state, probably corresponding to a non-conductive but partially expanded intermediate state.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2737600/" 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/PMC2737600/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Liu, Zhenfeng -- Gandhi, Chris S -- Rees, Douglas C -- GM084211/GM/NIGMS NIH HHS/ -- R01 GM084211/GM/NIGMS NIH HHS/ -- R01 GM084211-01/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2009 Sep 3;461(7260):120-4. doi: 10.1038/nature08277. Epub 2009 Aug 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19701184" target="_blank"〉PubMed〈/a〉

Beschreibung: Bet hedging-stochastic switching between phenotypic states-is a canonical example of an evolutionary adaptation that facilitates persistence in the face of fluctuating environmental conditions. Although bet hedging is found in organisms ranging from bacteria to humans, direct evidence for an adaptive origin of this behaviour is lacking. Here we report the de novo evolution of bet hedging in experimental bacterial populations. Bacteria were subjected to an environment that continually favoured new phenotypic states. Initially, our regime drove the successive evolution of novel phenotypes by mutation and selection; however, in two (of 12) replicates this trend was broken by the evolution of bet-hedging genotypes that persisted because of rapid stochastic phenotype switching. Genome re-sequencing of one of these switching types revealed nine mutations that distinguished it from the ancestor. The final mutation was both necessary and sufficient for rapid phenotype switching; nonetheless, the evolution of bet hedging was contingent upon earlier mutations that altered the relative fitness effect of the final mutation. These findings capture the adaptive evolution of bet hedging in the simplest of organisms, and suggest that risk-spreading strategies may have been among the earliest evolutionary solutions to life in fluctuating environments.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Beaumont, Hubertus J E -- Gallie, Jenna -- Kost, Christian -- Ferguson, Gayle C -- Rainey, Paul B -- England -- Nature. 2009 Nov 5;462(7269):90-3. doi: 10.1038/nature08504.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉New Zealand Institute for Advanced Study and Allan Wilson Centre for Molecular Ecology & Evolution, Massey University, Private Bag 102904, North Shore Mail Centre, North Shore City 0745, Auckland, New Zealand. h.j.e.beaumont@biology.leidenuniv.nl〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19890329" target="_blank"〉PubMed〈/a〉

Beschreibung: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Shapley, Robert -- England -- Nature. 2009 Oct 8;461(7265):737-9. doi: 10.1038/461737a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19812661" target="_blank"〉PubMed〈/a〉