ALBERT

Description: © The Author(s), 2015. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Deep Sea Research Part I: Oceanographic Research Papers 104 (2015): 72-91, doi:10.1016/j.dsr.2015.06.012.

Description: Nitrogen fixation is an important yet still incompletely constrained component of the marine nitrogen cycle, particularly in the subsurface. A Video Plankton Recorder (VPR) survey in the subtropical North Atlantic found higher than expected Trichodesmium colony abundances at depth, leading to the hypothesis that deep nitrogen fixation in the North Atlantic may have been previously underestimated. Here, Trichodesmium colony abundances and modeled nitrogen fixation from VPR transects completed on two cruises in the tropical and subtropical North Atlantic in fall 2010 and spring 2011 were used to evaluate that hypothesis. A bio-optical model was developed based on carbon-normalized nitrogen fixation rates measured on those cruises. Estimates of colony abundance and nitrogen fixation were similar in magnitude and vertical and geographical distribution to conventional estimates in a recently compiled climatology. Thus, in the mean, VPR-based estimates of volume-specific nitrogen fixation rates at depth in the tropical North Atlantic were not inconsistent with estimates derived from conventional sampling methods. Based on this analysis, if Trichodesmium nitrogen fixation by colonies is underestimated, it is unlikely that it is due to underestimation of deep abundances by conventional sampling methods.

Description: We gratefully acknowledge support of this research by NSF and NASA. A NASA Earth and Space Science Fellowship supported E. Olson's graduate studies.

Description: © The Author(s), 2014. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Atmosphere 5 (2014): 973-1001, doi:10.3390/atmos5040973.

Description: An analysis of coastal meteorological mechanisms facilitating the transit pollution plumes emitted from sources in the Northeastern U.S. was based on observations from the International Consortium for Atmospheric Research on Transport and Transformation (ICARTT) 2004 field campaign. Particular attention was given to the relation of these plumes to coastal transport patterns in lower tropospheric layers throughout the Gulf of Maine (GOM), and their contribution to large-scale pollution outflow from the North American continent. Using measurements obtained during a series of flights of the National Oceanic & Atmospheric Administration (NOAA) WP-3D and the National Aeronautics and Space Administration (NASA) DC-8, a unique quasi-Lagrangian case study was conducted for a freshly emitted plume emanating from the New York City source region in late July 2004. The development of this plume stemmed from the accumulation of boundary layer pollutants within a coastal residual layer, where weak synoptic conditions allowed for its advection into the marine troposphere and transport by a mean southwesterly flow. Upon entering the GOM, analysis showed that the plume layer vertical structure evolved into an internal boundary layer form, with signatures of steep vertical gradients in temperature, moisture and wind speed often resulting in periodic turbulence. This structure remained well-defined during the plume study, allowing for the detachment of the plume layer from the surface and minimal plume-sea surface exchange. In contrast, shear driven turbulence within the plume layer facilitated lateral mixing with other low-level plumes during its transit. This turbulence was periodic and further contributed to the high spatial variability in trace gas mixing ratios. Further influences of the turbulent mixing were observed in the impact of the plume inland as observed by the Atmospheric Investigation, Regional Modeling, Analysis and Prediction (AIRMAP) air quality network. This impact was seen as extreme elevations of surface ozone and CO levels, equaling the highest observed that summer.

Description: Financial support for this work was from the NOAA Office of Oceanic and Atmospheric Research under grant #NA07OAR4600514. - See more at: http://www.mdpi.com/2073-4433/5/4/973/htm#sthash.E0atBClM.dpuf

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zhang, Bo -- Davis, Wayne S -- England -- Nature. 2015 Nov 26;527(7579):446. doi: 10.1038/527446f.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Information Center, Ministry of Environmental Protection, Beijing, China. ; EPA, Washington DC, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26607534" target="_blank"〉PubMed〈/a〉

Description: Patterns of amino acid conservation have served as a tool for understanding protein evolution. The same principles have also found broad application in human genomics, driven by the need to interpret the pathogenic potential of variants in patients. Here we performed a systematic comparative genomics analysis of human disease-causing missense variants. We found that an appreciable fraction of disease-causing alleles are fixed in the genomes of other species, suggesting a role for genomic context. We developed a model of genetic interactions that predicts most of these to be simple pairwise compensations. Functional testing of this model on two known human disease genes revealed discrete cis amino acid residues that, although benign on their own, could rescue the human mutations in vivo. This approach was also applied to ab initio gene discovery to support the identification of a de novo disease driver in BTG2 that is subject to protective cis-modification in more than 50 species. Finally, on the basis of our data and models, we developed a computational tool to predict candidate residues subject to compensation. Taken together, our data highlight the importance of cis-genomic context as a contributor to protein evolution; they provide an insight into the complexity of allele effect on phenotype; and they are likely to assist methods for predicting allele pathogenicity.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4537371/" 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/PMC4537371/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jordan, Daniel M -- Frangakis, Stephan G -- Golzio, Christelle -- Cassa, Christopher A -- Kurtzberg, Joanne -- Task Force for Neonatal Genomics -- Davis, Erica E -- Sunyaev, Shamil R -- Katsanis, Nicholas -- R01 DK072301/DK/NIDDK NIH HHS/ -- R01 DK075972/DK/NIDDK NIH HHS/ -- R01 DK095721/DK/NIDDK NIH HHS/ -- R01 EY021872/EY/NEI NIH HHS/ -- R01 GM078598/GM/NIGMS NIH HHS/ -- R01 HD042601/HD/NICHD NIH HHS/ -- R01 MH101244/MH/NIMH NIH HHS/ -- R01DK072301/DK/NIDDK NIH HHS/ -- R01DK075972/DK/NIDDK NIH HHS/ -- R01EY021872/EY/NEI NIH HHS/ -- R01HD04260/HD/NICHD NIH HHS/ -- U01 HG006500/HG/NHGRI NIH HHS/ -- England -- Nature. 2015 Aug 13;524(7564):225-9. doi: 10.1038/nature14497. Epub 2015 Jun 29.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA. ; Center for Human Disease Modeling, Duke University, Durham, North Carolina 27701, USA. ; Department of Pediatrics, Division of Pediatric Blood and Marrow Transplantation, Duke University, Durham, North Carolina 27710, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26123021" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Davis, Mark M -- U19 AI057229/AI/NIAID NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Jan 23;347(6220):371-2. doi: 10.1126/science.aaa5082.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute, Institute for Immunity, Transplantation and Infection, Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA. mmdavis@stanford.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25613876" target="_blank"〉PubMed〈/a〉

Description: Global sustainability challenges, from maintaining biodiversity to providing clean air and water, are closely interconnected yet often separately studied and managed. Systems integration-holistic approaches to integrating various components of coupled human and natural systems-is critical to understand socioeconomic and environmental interconnections and to create sustainability solutions. Recent advances include the development and quantification of integrated frameworks that incorporate ecosystem services, environmental footprints, planetary boundaries, human-nature nexuses, and telecoupling. Although systems integration has led to fundamental discoveries and practical applications, further efforts are needed to incorporate more human and natural components simultaneously, quantify spillover systems and feedbacks, integrate multiple spatial and temporal scales, develop new tools, and translate findings into policy and practice. Such efforts can help address important knowledge gaps, link seemingly unconnected challenges, and inform policy and management decisions.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Liu, Jianguo -- Mooney, Harold -- Hull, Vanessa -- Davis, Steven J -- Gaskell, Joanne -- Hertel, Thomas -- Lubchenco, Jane -- Seto, Karen C -- Gleick, Peter -- Kremen, Claire -- Li, Shuxin -- New York, N.Y. -- Science. 2015 Feb 27;347(6225):1258832. doi: 10.1126/science.1258832.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA. liuji@msu.edu. ; Department of Biology, Stanford University, Stanford, CA, USA. ; Center for Systems Integration and Sustainability, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA. ; Department of Earth System Science, University of California, Irvine, CA, USA. ; World Bank, Washington, DC, USA. ; Department of Agricultural Economics, Purdue University, West Lafayette, IN, USA. ; Department of Integrative Biology, Oregon State University, Corvallis, OR, USA. ; School of Forestry and Environmental Studies, Yale University, New Haven, CT, USA. ; The Pacific Institute, Oakland, CA, USA. ; Department of Environmental Science, Policy and Management, University of California, Berkeley, CA, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25722418" target="_blank"〉PubMed〈/a〉

Description: Centrioles are ancient organelles that build centrosomes, the major microtubule-organizing centers of animal cells. Extra centrosomes are a common feature of cancer cells. To investigate the importance of centrosomes in the proliferation of normal and cancer cells, we developed centrinone, a reversible inhibitor of Polo-like kinase 4 (Plk4), a serine-threonine protein kinase that initiates centriole assembly. Centrinone treatment caused centrosome depletion in human and other vertebrate cells. Centrosome loss irreversibly arrested normal cells in a senescence-like G1 state by a p53-dependent mechanism that was independent of DNA damage, stress, Hippo signaling, extended mitotic duration, or segregation errors. In contrast, cancer cell lines with normal or amplified centrosome numbers could proliferate indefinitely after centrosome loss. Upon centrinone washout, each cancer cell line returned to an intrinsic centrosome number "set point." Thus, cells with cancer-associated mutations fundamentally differ from normal cells in their response to centrosome loss.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764081/" 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/PMC4764081/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wong, Yao Liang -- Anzola, John V -- Davis, Robert L -- Yoon, Michelle -- Motamedi, Amir -- Kroll, Ashley -- Seo, Chanmee P -- Hsia, Judy E -- Kim, Sun K -- Mitchell, Jennifer W -- Mitchell, Brian J -- Desai, Arshad -- Gahman, Timothy C -- Shiau, Andrew K -- Oegema, Karen -- GM074207/GM/NIGMS NIH HHS/ -- GM089970/GM/NIGMS NIH HHS/ -- GM103403/GM/NIGMS NIH HHS/ -- R01 GM089970/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2015 Jun 5;348(6239):1155-60. doi: 10.1126/science.aaa5111. Epub 2015 Apr 30.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Cellular and Molecular Medicine, Ludwig Institute for Cancer Research, University of California, San Diego, La Jolla, CA 92093, USA. ; Small Molecule Discovery Program, Ludwig Institute for Cancer Research, La Jolla, CA 92093, USA. ; Department of Cell and Molecular Biology, Northwestern University, Feinberg School of Medicine, Chicago, IL 60611, USA. ; Small Molecule Discovery Program, Ludwig Institute for Cancer Research, La Jolla, CA 92093, USA. koegema@ucsd.edu ashiau@ucsd.edu. ; Department of Cellular and Molecular Medicine, Ludwig Institute for Cancer Research, University of California, San Diego, La Jolla, CA 92093, USA. koegema@ucsd.edu ashiau@ucsd.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25931445" target="_blank"〉PubMed〈/a〉

Description: How and when the Americas were populated remains contentious. Using ancient and modern genome-wide data, we found that the ancestors of all present-day Native Americans, including Athabascans and Amerindians, entered the Americas as a single migration wave from Siberia no earlier than 23 thousand years ago (ka) and after no more than an 8000-year isolation period in Beringia. After their arrival to the Americas, ancestral Native Americans diversified into two basal genetic branches around 13 ka, one that is now dispersed across North and South America and the other restricted to North America. Subsequent gene flow resulted in some Native Americans sharing ancestry with present-day East Asians (including Siberians) and, more distantly, Australo-Melanesians. Putative "Paleoamerican" relict populations, including the historical Mexican Pericues and South American Fuego-Patagonians, are not directly related to modern Australo-Melanesians as suggested by the Paleoamerican Model.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4733658/" 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/PMC4733658/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Raghavan, Maanasa -- Steinrucken, Matthias -- Harris, Kelley -- Schiffels, Stephan -- Rasmussen, Simon -- DeGiorgio, Michael -- Albrechtsen, Anders -- Valdiosera, Cristina -- Avila-Arcos, Maria C -- Malaspinas, Anna-Sapfo -- Eriksson, Anders -- Moltke, Ida -- Metspalu, Mait -- Homburger, Julian R -- Wall, Jeff -- Cornejo, Omar E -- Moreno-Mayar, J Victor -- Korneliussen, Thorfinn S -- Pierre, Tracey -- Rasmussen, Morten -- Campos, Paula F -- Damgaard, Peter de Barros -- Allentoft, Morten E -- Lindo, John -- Metspalu, Ene -- Rodriguez-Varela, Ricardo -- Mansilla, Josefina -- Henrickson, Celeste -- Seguin-Orlando, Andaine -- Malmstrom, Helena -- Stafford, Thomas Jr -- Shringarpure, Suyash S -- Moreno-Estrada, Andres -- Karmin, Monika -- Tambets, Kristiina -- Bergstrom, Anders -- Xue, Yali -- Warmuth, Vera -- Friend, Andrew D -- Singarayer, Joy -- Valdes, Paul -- Balloux, Francois -- Leboreiro, Ilan -- Vera, Jose Luis -- Rangel-Villalobos, Hector -- Pettener, Davide -- Luiselli, Donata -- Davis, Loren G -- Heyer, Evelyne -- Zollikofer, Christoph P E -- Ponce de Leon, Marcia S -- Smith, Colin I -- Grimes, Vaughan -- Pike, Kelly-Anne -- Deal, Michael -- Fuller, Benjamin T -- Arriaza, Bernardo -- Standen, Vivien -- Luz, Maria F -- Ricaut, Francois -- Guidon, Niede -- Osipova, Ludmila -- Voevoda, Mikhail I -- Posukh, Olga L -- Balanovsky, Oleg -- Lavryashina, Maria -- Bogunov, Yuri -- Khusnutdinova, Elza -- Gubina, Marina -- Balanovska, Elena -- Fedorova, Sardana -- Litvinov, Sergey -- Malyarchuk, Boris -- Derenko, Miroslava -- Mosher, M J -- Archer, David -- Cybulski, Jerome -- Petzelt, Barbara -- Mitchell, Joycelynn -- Worl, Rosita -- Norman, Paul J -- Parham, Peter -- Kemp, Brian M -- Kivisild, Toomas -- Tyler-Smith, Chris -- Sandhu, Manjinder S -- Crawford, Michael -- Villems, Richard -- Smith, David Glenn -- Waters, Michael R -- Goebel, Ted -- Johnson, John R -- Malhi, Ripan S -- Jakobsson, Mattias -- Meltzer, David J -- Manica, Andrea -- Durbin, Richard -- Bustamante, Carlos D -- Song, Yun S -- Nielsen, Rasmus -- Willerslev, Eske -- 098051/Wellcome Trust/United Kingdom -- 261213/European Research Council/International -- 2R01HG003229-09/HG/NHGRI NIH HHS/ -- BB/H005854/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- R01-AI17892/AI/NIAID NIH HHS/ -- R01-GM094402/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2015 Aug 21;349(6250):aab3884. doi: 10.1126/science.aab3884. Epub 2015 Jul 21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oster Voldgade 5-7, 1350 Copenhagen, Denmark. ; Computer Science Division, University of California, Berkeley, Berkeley, CA 94720, USA. Department of Statistics, University of California, Berkeley, Berkeley, CA 94720, USA. Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA 01003, USA. ; Department of Mathematics, University of California, Berkeley, Berkeley, CA 94720, USA. ; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK. ; Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Kemitorvet, Building 208, 2800 Kongens Lyngby, Denmark. ; Departments of Biology and Statistics, Pennsylvania State University, 502 Wartik Laboratory, University Park, PA 16802, USA. ; The Bioinformatics Centre, Department of Biology, University of Copenhagen, Ole Maaloes Vej 5, 2200 Copenhagen, Denmark. ; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oster Voldgade 5-7, 1350 Copenhagen, Denmark. Department of Archaeology and History, La Trobe University, Melbourne, Victoria 3086, Australia. ; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oster Voldgade 5-7, 1350 Copenhagen, Denmark. Department of Genetics, School of Medicine, Stanford University, 300 Pasteur Drive, Lane Building, Room L331, Stanford, CA 94305, USA. ; Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK. Integrative Systems Biology Laboratory, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia. ; Estonian Biocentre, Evolutionary Biology Group, Tartu 51010, Estonia. Department of Evolutionary Biology, University of Tartu, Tartu 51010, Estonia. ; Department of Genetics, School of Medicine, Stanford University, 300 Pasteur Drive, Lane Building, Room L331, Stanford, CA 94305, USA. ; Institute for Human Genetics, University of California San Francisco, 513 Parnassus Avenue, San Francisco, CA 94143, USA. ; School of Biological Sciences, Washington State University, Post Office Box 644236, Heald 429, Pullman, WA 99164, USA. ; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oster Voldgade 5-7, 1350 Copenhagen, Denmark. Centro de Investigacion en Ciencias del Mar y Limnologia/Centro Interdisciplinar de Investigacao Marinha e Ambiental, Centro Interdisciplinar de Investigacao Marinha e Ambiental, Universidade do Porto, Rua dos Bragas 289, 4050-123 Porto, Portugal. ; Department of Anthropology, University of Illinois at Urbana-Champaign, 607 S. Mathews Avenue, Urbana, IL 61801, USA. ; Centro Mixto, Universidad Complutense de Madrid-Instituto de Salud Carlos III de Evolucion y Comportamiento Humano, Madrid, Spain. ; Instituto Nacional de Antropologia e Historia, Moneda 13, Centro, Cuauhtemoc, 06060 Mexico City, Mexico. ; University of Utah, Department of Anthropology, 270 S 1400 E, Salt Lake City, UT 84112, USA. ; Department of Evolutionary Biology and Science for Life Laboratory, Uppsala University, Norbyvagen 18D, SE-752 36 Uppsala, Sweden. ; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oster Voldgade 5-7, 1350 Copenhagen, Denmark. Acceleration Mass Spectrometry 14C Dating Centre, Department of Physics and Astronomy, Aarhus University, Ny Munkegade 120, 8000 Aarhus, Denmark. ; Department of Genetics, School of Medicine, Stanford University, 300 Pasteur Drive, Lane Building, Room L331, Stanford, CA 94305, USA. Laboratorio Nacional de Genomica para la Biodiversidad (LANGEBIO), Centro de Investigacion y de Estudios Avanzados, Irapuato, Guanajuato 36821, Mexico. ; Estonian Biocentre, Evolutionary Biology Group, Tartu 51010, Estonia. ; Genetics Institute, University College London, Gower Street, London WC1E 6BT, UK. Evolutionsbiologiskt Centrum, Norbyvagen 18D, 75236 Uppsala, Sweden. ; Department of Geography, University of Cambridge, Downing Place, Cambridge CB2 3EN, UK. ; Centre for Past Climate Change and Department of Meteorology, University of Reading, Earley Gate, Post Office Box 243, Reading, UK. ; School of Geographical Sciences, University Road, Clifton, Bristol BS8 1SS, UK. ; Genetics Institute, University College London, Gower Street, London WC1E 6BT, UK. ; Escuela Nacional de AntropologIa e Historia, Periferico Sur y Zapote s/n Colonia Isidro Fabela, Tlalpan, Isidro Fabela, 14030 Mexico City, Mexico. ; Instituto de Investigacion en Genetica Molecular, Universidad de Guadalajara, Ocotlan, Mexico. ; Dipartimento di Scienze Biologiche, Geologiche e Ambientali (BiGeA), Universita di Bologna, Via Selmi 3, 40126 Bologna, Italy. ; Department of Anthropology, Oregon State University, 238 Waldo Hall, Corvallis, OR 97331 USA. ; Museum National d'Histoire Naturelle, CNRS, Universite Paris 7 Diderot, Sorbonne Paris Cite, Sorbonne Universites, Unite Eco-Anthropologie et Ethnobiologie (UMR7206), Paris, France. ; Anthropological Institute and Museum, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland. ; Department of Archaeology and History, La Trobe University, Melbourne, Victoria 3086, Australia. ; Department of Archaeology, Memorial University, Queen's College, 210 Prince Philip Drive, St. John's, Newfoundland A1C 5S7, Canada. Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, Leipzig 04103, Germany. ; Department of Archaeology, Memorial University, Queen's College, 210 Prince Philip Drive, St. John's, Newfoundland A1C 5S7, Canada. ; Department of Earth System Science, University of California, Irvine, Keck Carbon Cycle Accelerator Mass Spectrometry Group, B321 Croul Hall, Irvine, CA 92697, USA. ; Instituto de Alta Investigacion, Universidad de Tarapaca, 18 de Septiembre 2222, Carsilla 6-D Arica, Chile. ; Departamento de Antropologia, Universidad de Tarapaca, 18 de Septiembre 2222, Carsilla 6-D Arica, Chile. ; Fundacao Museu do Homem Americano, Centro Cultural Sergio Motta, Campestre, 64770-000 Sao Raimundo Nonato, Brazil. ; Laboratoire d'Anthropologie Moleculaire et Imagerie de Synthese UMR-5288, CNRS, Universite de Toulouse, 31073 Toulouse, France. ; Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, 630090 Novosibirsk, Russia. Novosibirsk State University, 2 Pirogova Street, 630090 Novosibirsk, Russia. ; Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, 630090 Novosibirsk, Russia. Institute of Internal Medicine, Siberian Branch of RAS, 175/1 ul. B. Bogatkova, Novosibirsk 630089, Russia. Novosibirsk State University, Laboratory of Molecular Epidemiology and Bioinformatics, 630090 Novosibirsk, Russia. ; Vavilov Institute of General Genetics, Gubkina 3, 119333 Moscow, Russia. Research Centre for Medical Genetics, Moskvorechie 1, 115478 Moscow, Russia. ; Kemerovo State University, Krasnaya 3, 650000 Kemerovo, Russia. ; Vavilov Institute of General Genetics, Gubkina 3, 119333 Moscow, Russia. ; Institute of Biochemistry and Genetics, Ufa Scientific Center of Russian Academy of Sciences, Prospekt Oktyabrya 71, 450054 Ufa, Russia. Department of Genetics and Fundamental Medicine, Bashkir State University, Zaki Validi 32, 450076 Ufa, Russia. ; Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Prospekt Lavrentyeva 10, 630090 Novosibirsk, Russia. ; Research Centre for Medical Genetics, Moskvorechie 1, 115478 Moscow, Russia. ; Department of Molecular Genetics, Yakut Scientific Centre of Complex Medical Problems, Sergelyahskoe Shosse 4, 677010 Yakutsk, Russia. Laboratory of Molecular Biology, Institute of Natural Sciences, M. K. Ammosov North-Eastern Federal University, 677000 Yakutsk, Russia. ; Estonian Biocentre, Evolutionary Biology Group, Tartu 51010, Estonia. Institute of Biochemistry and Genetics, Ufa Scientific Center of Russian Academy of Sciences, Prospekt Oktyabrya 71, 450054 Ufa, Russia. ; Institute of Biological Problems of the North, Russian Academy of Sciences, Portovaya Street 18, Magadan 685000, Russia. ; Department of Anthropology, Western Washington University, Bellingham, WA 98225, USA. ; Department of Anthropology, Northwest Community College, 353 Fifth Street, Prince Rupert, British Columbia V8J 3L6, Canada. ; Canadian Museum of History, 100 Rue Laurier, Gatineau, Quebec K1A 0M8, Canada. University of Western Ontario, London, Ontario N6A 3K7, Canada. Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada. ; Metlakatla Treaty Office, Post Office Box 224, Prince Rupert, BC V8J 3P6, Canada. ; Sealaska Heritage Institute, 105 S. Seward Street, Juneau, AK 99801, USA. ; Department of Structural Biology, Stanford University School of Medicine, D100 Fairchild Science Building, Stanford, CA 94305-5126, USA. ; School of Biological Sciences, Washington State University, Post Office Box 644236, Heald 429, Pullman, WA 99164, USA. Department of Anthropology, Washington State University, Pullman, WA 99163, USA. ; Estonian Biocentre, Evolutionary Biology Group, Tartu 51010, Estonia. Division of Biological Anthropology, University of Cambridge, Henry Wellcome Building, Fitzwilliam Street, Cambridge CB2 1QH, UK. ; Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK. Department of Medicine, University of Cambridge, Medical Research Council Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge CB2 0QH, UK. ; Laboratory of Biological Anthropology, University of Kansas, 1415 Jayhawk Boulevard, 622 Fraser Hall, Lawrence, KS 66045, USA. ; Molecular Anthropology Laboratory, 209 Young Hall, Department of Anthropology, University of California, One Shields Avenue, Davis, CA 95616, USA. ; Center for the Study of the First Americans, Texas A&M University, College Station, TX 77843-4352, USA. Department of Anthropology, Texas A&M University, College Station, TX 77843-4352, USA. Department of Geography, Texas A&M University, College Station, TX 77843-4352, USA. ; Center for the Study of the First Americans, Texas A&M University, College Station, TX 77843-4352, USA. ; Santa Barbara Museum of Natural History, 2559 Puesta del Sol, Santa Barbara, CA 93105, USA. ; Department of Anthropology, University of Illinois at Urbana-Champaign, 607 S. Mathews Avenue, Urbana, IL 61801, USA. Carle R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. ; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oster Voldgade 5-7, 1350 Copenhagen, Denmark. Department of Anthropology, Southern Methodist University, Dallas, TX 75275, USA. ; Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK. ; Computer Science Division, University of California, Berkeley, Berkeley, CA 94720, USA. Department of Statistics, University of California, Berkeley, Berkeley, CA 94720, USA. Department of Integrative Biology, University of California, 3060 Valley Life Sciences Building 3140, Berkeley, CA 94720, USA. ewillierslev@snm.ku.dk rasmus_nielsen@berkeley.edu yss@berkeley.edu. ; Department of Integrative Biology, University of California, 3060 Valley Life Sciences Building 3140, Berkeley, CA 94720, USA. ewillierslev@snm.ku.dk rasmus_nielsen@berkeley.edu yss@berkeley.edu. ; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oster Voldgade 5-7, 1350 Copenhagen, Denmark. ewillierslev@snm.ku.dk rasmus_nielsen@berkeley.edu yss@berkeley.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26198033" target="_blank"〉PubMed〈/a〉

Description: Understanding how ecological communities are organized and how they change through time is critical to predicting the effects of climate change. Recent work documenting the co-occurrence structure of modern communities found that most significant species pairs co-occur less frequently than would be expected by chance. However, little is known about how co-occurrence structure changes through time. Here we evaluate changes in plant and animal community organization over geological time by quantifying the co-occurrence structure of 359,896 unique taxon pairs in 80 assemblages spanning the past 300 million years. Co-occurrences of most taxon pairs were statistically random, but a significant fraction were spatially aggregated or segregated. Aggregated pairs dominated from the Carboniferous period (307 million years ago) to the early Holocene epoch (11,700 years before present), when there was a pronounced shift to more segregated pairs, a trend that continues in modern assemblages. The shift began during the Holocene and coincided with increasing human population size and the spread of agriculture in North America. Before the shift, an average of 64% of significant pairs were aggregated; after the shift, the average dropped to 37%. The organization of modern and late Holocene plant and animal assemblages differs fundamentally from that of assemblages over the past 300 million years that predate the large-scale impacts of humans. Our results suggest that the rules governing the assembly of communities have recently been changed by human activity.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lyons, S Kathleen -- Amatangelo, Kathryn L -- Behrensmeyer, Anna K -- Bercovici, Antoine -- Blois, Jessica L -- Davis, Matt -- DiMichele, William A -- Du, Andrew -- Eronen, Jussi T -- Faith, J Tyler -- Graves, Gary R -- Jud, Nathan -- Labandeira, Conrad -- Looy, Cindy V -- McGill, Brian -- Miller, Joshua H -- Patterson, David -- Pineda-Munoz, Silvia -- Potts, Richard -- Riddle, Brett -- Terry, Rebecca -- Toth, Aniko -- Ulrich, Werner -- Villasenor, Amelia -- Wing, Scott -- Anderson, Heidi -- Anderson, John -- Waller, Donald -- Gotelli, Nicholas J -- England -- Nature. 2016 Jan 7;529(7584):80-3. doi: 10.1038/nature16447. Epub 2015 Dec 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Paleobiology, National Museum of Natural History, Smithsonian Institution, Washington DC 20013, USA. ; Department of Environmental Science and Biology, The College at Brockport - SUNY, Brockport, New York 14420, USA. ; School of Natural Sciences, University of California, Merced, 5200 North Lake Road, Merced, California 95343, USA. ; Department of Geology and Geophysics, Yale University, New Haven, Connecticut 06520, USA. ; Hominid Paleobiology Doctoral Program, Center for the Advanced Study of Hominid Paleobiology, Department of Anthropology, George Washington University, Washington DC 20052, USA. ; Department of Geosciences and Geography, University of Helsinki, PO Box 64, 00014 University of Helsinki, Finland. ; School of Social Science, The University of Queensland, Brisbane, Queensland 4072, Australia. ; Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington DC 20013, USA. ; Center for Macroecology, Evolution and Climate, University of Copenhagen, Copenhagen 2100, Denmark. ; Biological Sciences Graduate Program, University of Maryland, College Park, Maryland 20742, USA. ; Florida Museum of Natural History, University of Florida, Gainsville, Florida 32611, USA. ; Department of Entomology, University of Maryland College Park, College Park, Maryland 20742, USA. ; Key Lab of Insect Evolution and Environmental Changes, Capital Normal University, Beijing 100048, China. ; Department of Integrative Biology and Museum of Paleontology, University of California Berkeley, Berkeley, California 94720, USA. ; School Biology and Ecology &Sustainability Solutions Initiative, University of Maine, Orono, Maine 04469, USA. ; Department of Geology, University of Cincinnati, Cincinnati, Ohio 45221, USA. ; Department of Biological Sciences, Macquarie University, Sydney, New South Wales 2109, Australia. ; Department of Anthropology, Human Origins Program, National Museum of Natural History, Smithsonian Institution, Washington DC 20013, USA. ; School of Life Sciences, University of Nevada-Las Vegas, Las Vegas, Nevada 89154, USA. ; Department of Integrative Biology, Oregon State University, Corvallis, Oregon 97331, USA. ; Chair of Ecology and Biogeography, Nicolaus Copernicus University, Lwowska 1, 87-100 Torun, Poland. ; Evolutionary Studies Institute, University of the Witwatersrand, Jorissen Street, Braamfontein, Johannesburg 2001, South Africa. ; Department of Botany, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA. ; Department of Biology, University of Vermont, Burlington, Vermont 05405, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26675730" target="_blank"〉PubMed〈/a〉

Description: Nearly three-quarters of the growth in global carbon emissions from the burning of fossil fuels and cement production between 2010 and 2012 occurred in China. Yet estimates of Chinese emissions remain subject to large uncertainty; inventories of China's total fossil fuel carbon emissions in 2008 differ by 0.3 gigatonnes of carbon, or 15 per cent. The primary sources of this uncertainty are conflicting estimates of energy consumption and emission factors, the latter being uncertain because of very few actual measurements representative of the mix of Chinese fuels. Here we re-evaluate China's carbon emissions using updated and harmonized energy consumption and clinker production data and two new and comprehensive sets of measured emission factors for Chinese coal. We find that total energy consumption in China was 10 per cent higher in 2000-2012 than the value reported by China's national statistics, that emission factors for Chinese coal are on average 40 per cent lower than the default values recommended by the Intergovernmental Panel on Climate Change, and that emissions from China's cement production are 45 per cent less than recent estimates. Altogether, our revised estimate of China's CO2 emissions from fossil fuel combustion and cement production is 2.49 gigatonnes of carbon (2 standard deviations = +/-7.3 per cent) in 2013, which is 14 per cent lower than the emissions reported by other prominent inventories. Over the full period 2000 to 2013, our revised estimates are 2.9 gigatonnes of carbon less than previous estimates of China's cumulative carbon emissions. Our findings suggest that overestimation of China's emissions in 2000-2013 may be larger than China's estimated total forest sink in 1990-2007 (2.66 gigatonnes of carbon) or China's land carbon sink in 2000-2009 (2.6 gigatonnes of carbon).〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Liu, Zhu -- Guan, Dabo -- Wei, Wei -- Davis, Steven J -- Ciais, Philippe -- Bai, Jin -- Peng, Shushi -- Zhang, Qiang -- Hubacek, Klaus -- Marland, Gregg -- Andres, Robert J -- Crawford-Brown, Douglas -- Lin, Jintai -- Zhao, Hongyan -- Hong, Chaopeng -- Boden, Thomas A -- Feng, Kuishuang -- Peters, Glen P -- Xi, Fengming -- Liu, Junguo -- Li, Yuan -- Zhao, Yu -- Zeng, Ning -- He, Kebin -- England -- Nature. 2015 Aug 20;524(7565):335-8. doi: 10.1038/nature14677.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉John F. Kennedy School of Government, Harvard University, Cambridge, Massachusetts 02138, USA. ; Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China. ; Resnick Sustainability Institute, California Institute of Technology, Pasadena, California 91125, USA. ; Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing 100084, China. ; School of International Development, University of East Anglia, Norwich NR4 7TJ, UK. ; CAS Key Laboratory of Low-carbon Conversion Science and Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201203, China. ; Department of Earth System Science, University of California, Irvine, California 92697, USA. ; Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, CE Orme des Merisiers, 91191 Gif sur Yvette Cedex, France. ; State Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Science, Taiyuan 030001, China. ; CNRS and UJF Grenoble 1, Laboratoire de Glaciologie et Geophysique de l'Environnement (LGGE, UMR5183), 38041 Grenoble, France. ; Department of Geographical Sciences, University of Maryland, College Park, Maryland 20742, USA. ; Research Institute for Environment, Energy, and Economics, Appalachian State University, Boone, North Carolina 28608, USA. ; Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA. ; Cambridge Centre for Climate Change Mitigation Research, Department of Land Economy, University of Cambridge, 19 Silver Street, Cambridge CB3 9EP, UK. ; Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China. ; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China. ; Center for International Climate and Environmental Research-Oslo (CICERO), N-0318 Oslo, Norway. ; CAS Key Laboratory of Pollution Ecology and Environmental Engineering, Chinese Academy of Sciences, Shenyang 110016, China. ; School of Nature Conservation, Beijing Forestry University, Beijing 10083, China. ; Ecosystems Services &Management Program, International Institute for Applied Systems Analysis, Schlossplatz 1, A-2361 Laxenburg, Austria. ; School of Environmental Science and Engineering, South University of Science and Technology of China, Shenzhen 518055, China. ; State Key Laboratory of Pollution Control &Resource Reuse and School of the Environment, Nanjing University, Nanjing 210023, China. ; Department of Atmospheric and Oceanic Science and Earth System Science Interdisciplinary Center, University of Maryland, College Park, Maryland 20742-2425, USA. ; Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26289204" target="_blank"〉PubMed〈/a〉