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  • Humans  (6)
  • Aeronautics (General)
  • Nature Publishing Group (NPG)  (6)
  • 2015-2019  (6)
  • 1
    Publication Date: 2015-07-01
    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〉
    Keywords: Adaptor Proteins, Signal Transducing/genetics ; Alleles ; Animals ; Disease/*genetics ; Evolution, Molecular ; Genome, Human/genetics ; *Genomics ; Humans ; Immediate-Early Proteins/genetics ; Microcephaly/genetics ; Mutation, Missense/*genetics ; Phenotype ; Proteins/genetics ; Sequence Alignment ; Suppression, Genetic/*genetics ; Tumor Suppressor Proteins/genetics
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  • 2
    Publication Date: 2016-04-30
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nardone, Roland M -- MacLeod, Roderick A F -- Capes-Davis, Amanda -- England -- Nature. 2016 Apr 21;532(7599):313.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27127813" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cell Line, Tumor ; DNA Contamination ; Databases, Factual ; *Disease Models, Animal ; Guidelines as Topic ; Heterografts/*standards ; Humans ; National Cancer Institute (U.S.) ; Neoplasms/*pathology ; Quality Control ; Reproducibility of Results ; United States ; Xenograft Model Antitumor Assays/*standards
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  • 3
    Publication Date: 2016-01-28
    Description: Schizophrenia is a heritable brain illness with unknown pathogenic mechanisms. Schizophrenia's strongest genetic association at a population level involves variation in the major histocompatibility complex (MHC) locus, but the genes and molecular mechanisms accounting for this have been challenging to identify. Here we show that this association arises in part from many structurally diverse alleles of the complement component 4 (C4) genes. We found that these alleles generated widely varying levels of C4A and C4B expression in the brain, with each common C4 allele associating with schizophrenia in proportion to its tendency to generate greater expression of C4A. Human C4 protein localized to neuronal synapses, dendrites, axons, and cell bodies. In mice, C4 mediated synapse elimination during postnatal development. These results implicate excessive complement activity in the development of schizophrenia and may help explain the reduced numbers of synapses in the brains of individuals with schizophrenia.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4752392/" 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/PMC4752392/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sekar, Aswin -- Bialas, Allison R -- de Rivera, Heather -- Davis, Avery -- Hammond, Timothy R -- Kamitaki, Nolan -- Tooley, Katherine -- Presumey, Jessy -- Baum, Matthew -- Van Doren, Vanessa -- Genovese, Giulio -- Rose, Samuel A -- Handsaker, Robert E -- Schizophrenia Working Group of the Psychiatric Genomics Consortium -- Daly, Mark J -- Carroll, Michael C -- Stevens, Beth -- McCarroll, Steven A -- R01 HG006855/HG/NHGRI NIH HHS/ -- R01 MH077139/MH/NIMH NIH HHS/ -- T32 GM007753/GM/NIGMS NIH HHS/ -- U01 MH105641/MH/NIMH NIH HHS/ -- England -- Nature. 2016 Feb 11;530(7589):177-83. doi: 10.1038/nature16549. Epub 2016 Jan 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA. ; MD-PhD Program, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Department of Neurology, F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, Massachusetts 02115, USA. ; Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, Massachusetts 02114, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26814963" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Amino Acid Sequence ; Animals ; Axons/metabolism ; Base Sequence ; Brain/metabolism/pathology ; Complement C4/chemistry/*genetics ; Complement Pathway, Classical ; Dendrites/metabolism ; Gene Dosage/genetics ; Gene Expression Regulation/genetics ; Genetic Predisposition to Disease/*genetics ; Genetic Variation/*genetics ; Haplotypes/genetics ; Humans ; Major Histocompatibility Complex/genetics ; Mice ; Models, Animal ; Neuronal Plasticity/genetics/physiology ; Polymorphism, Single Nucleotide/genetics ; RNA, Messenger/analysis/genetics ; Risk Factors ; Schizophrenia/*genetics/pathology ; Synapses/metabolism
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    Electronic ISSN: 1476-4687
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  • 4
    Publication Date: 2016-01-29
    Description: Wearable sensor technologies are essential to the realization of personalized medicine through continuously monitoring an individual's state of health. Sampling human sweat, which is rich in physiological information, could enable non-invasive monitoring. Previously reported sweat-based and other non-invasive biosensors either can only monitor a single analyte at a time or lack on-site signal processing circuitry and sensor calibration mechanisms for accurate analysis of the physiological state. Given the complexity of sweat secretion, simultaneous and multiplexed screening of target biomarkers is critical and requires full system integration to ensure the accuracy of measurements. Here we present a mechanically flexible and fully integrated (that is, no external analysis is needed) sensor array for multiplexed in situ perspiration analysis, which simultaneously and selectively measures sweat metabolites (such as glucose and lactate) and electrolytes (such as sodium and potassium ions), as well as the skin temperature (to calibrate the response of the sensors). Our work bridges the technological gap between signal transduction, conditioning (amplification and filtering), processing and wireless transmission in wearable biosensors by merging plastic-based sensors that interface with the skin with silicon integrated circuits consolidated on a flexible circuit board for complex signal processing. This application could not have been realized using either of these technologies alone owing to their respective inherent limitations. The wearable system is used to measure the detailed sweat profile of human subjects engaged in prolonged indoor and outdoor physical activities, and to make a real-time assessment of the physiological state of the subjects. This platform enables a wide range of personalized diagnostic and physiological monitoring applications.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gao, Wei -- Emaminejad, Sam -- Nyein, Hnin Yin Yin -- Challa, Samyuktha -- Chen, Kevin -- Peck, Austin -- Fahad, Hossain M -- Ota, Hiroki -- Shiraki, Hiroshi -- Kiriya, Daisuke -- Lien, Der-Hsien -- Brooks, George A -- Davis, Ronald W -- Javey, Ali -- P01 HG000205/HG/NHGRI NIH HHS/ -- England -- Nature. 2016 Jan 28;529(7587):509-14. doi: 10.1038/nature16521.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, USA. ; Berkeley Sensor and Actuator Center, University of California, Berkeley, California 94720, USA. ; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA. ; Stanford Genome Technology Center, Stanford School of Medicine, Palo Alto, California 94304, USA. ; Integrative Biology, University of California, Berkeley, California 94720, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26819044" target="_blank"〉PubMed〈/a〉
    Keywords: Adult ; Bicycling/physiology ; Body Water ; Calibration ; Electrolytes/analysis ; Female ; Glucose/analysis ; Healthy Volunteers ; Humans ; Lactic Acid/analysis ; Male ; Monitoring, Physiologic/*instrumentation/*methods ; Precision Medicine/instrumentation/methods ; Reproducibility of Results ; Running/physiology ; Skin ; Skin Temperature ; Sweat/*chemistry ; Young Adult
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  • 5
    Publication Date: 2016-02-04
    Description: The Ebola virus disease epidemic in West Africa is the largest on record, responsible for over 28,599 cases and more than 11,299 deaths. Genome sequencing in viral outbreaks is desirable to characterize the infectious agent and determine its evolutionary rate. Genome sequencing also allows the identification of signatures of host adaptation, identification and monitoring of diagnostic targets, and characterization of responses to vaccines and treatments. The Ebola virus (EBOV) genome substitution rate in the Makona strain has been estimated at between 0.87 x 10(-3) and 1.42 x 10(-3) mutations per site per year. This is equivalent to 16-27 mutations in each genome, meaning that sequences diverge rapidly enough to identify distinct sub-lineages during a prolonged epidemic. Genome sequencing provides a high-resolution view of pathogen evolution and is increasingly sought after for outbreak surveillance. Sequence data may be used to guide control measures, but only if the results are generated quickly enough to inform interventions. Genomic surveillance during the epidemic has been sporadic owing to a lack of local sequencing capacity coupled with practical difficulties transporting samples to remote sequencing facilities. To address this problem, here we devise a genomic surveillance system that utilizes a novel nanopore DNA sequencing instrument. In April 2015 this system was transported in standard airline luggage to Guinea and used for real-time genomic surveillance of the ongoing epidemic. We present sequence data and analysis of 142 EBOV samples collected during the period March to October 2015. We were able to generate results less than 24 h after receiving an Ebola-positive sample, with the sequencing process taking as little as 15-60 min. We show that real-time genomic surveillance is possible in resource-limited settings and can be established rapidly to monitor outbreaks.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Quick, Joshua -- Loman, Nicholas J -- Duraffour, Sophie -- Simpson, Jared T -- Severi, Ettore -- Cowley, Lauren -- Bore, Joseph Akoi -- Koundouno, Raymond -- Dudas, Gytis -- Mikhail, Amy -- Ouedraogo, Nobila -- Afrough, Babak -- Bah, Amadou -- Baum, Jonathan H J -- Becker-Ziaja, Beate -- Boettcher, Jan Peter -- Cabeza-Cabrerizo, Mar -- Camino-Sanchez, Alvaro -- Carter, Lisa L -- Doerrbecker, Juliane -- Enkirch, Theresa -- Garcia-Dorival, Isabel -- Hetzelt, Nicole -- Hinzmann, Julia -- Holm, Tobias -- Kafetzopoulou, Liana Eleni -- Koropogui, Michel -- Kosgey, Abigael -- Kuisma, Eeva -- Logue, Christopher H -- Mazzarelli, Antonio -- Meisel, Sarah -- Mertens, Marc -- Michel, Janine -- Ngabo, Didier -- Nitzsche, Katja -- Pallasch, Elisa -- Patrono, Livia Victoria -- Portmann, Jasmine -- Repits, Johanna Gabriella -- Rickett, Natasha Y -- Sachse, Andreas -- Singethan, Katrin -- Vitoriano, Ines -- Yemanaberhan, Rahel L -- Zekeng, Elsa G -- Racine, Trina -- Bello, Alexander -- Sall, Amadou Alpha -- Faye, Ousmane -- Faye, Oumar -- Magassouba, N'Faly -- Williams, Cecelia V -- Amburgey, Victoria -- Winona, Linda -- Davis, Emily -- Gerlach, Jon -- Washington, Frank -- Monteil, Vanessa -- Jourdain, Marine -- Bererd, Marion -- Camara, Alimou -- Somlare, Hermann -- Camara, Abdoulaye -- Gerard, Marianne -- Bado, Guillaume -- Baillet, Bernard -- Delaune, Deborah -- Nebie, Koumpingnin Yacouba -- Diarra, Abdoulaye -- Savane, Yacouba -- Pallawo, Raymond Bernard -- Gutierrez, Giovanna Jaramillo -- Milhano, Natacha -- Roger, Isabelle -- Williams, Christopher J -- Yattara, Facinet -- Lewandowski, Kuiama -- Taylor, James -- Rachwal, Phillip -- Turner, Daniel J -- Pollakis, Georgios -- Hiscox, Julian A -- Matthews, David A -- O'Shea, Matthew K -- Johnston, Andrew McD -- Wilson, Duncan -- Hutley, Emma -- Smit, Erasmus -- Di Caro, Antonino -- Wolfel, Roman -- Stoecker, Kilian -- Fleischmann, Erna -- Gabriel, Martin -- Weller, Simon A -- Koivogui, Lamine -- Diallo, Boubacar -- Keita, Sakoba -- Rambaut, Andrew -- Formenty, Pierre -- Gunther, Stephan -- Carroll, Miles W -- Medical Research Council/United Kingdom -- England -- Nature. 2016 Feb 11;530(7589):228-32. doi: 10.1038/nature16996. Epub 2016 Feb 3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Institute of Microbiology and Infection, University of Birmingham, Birmingham B15 2TT, UK. ; The European Mobile Laboratory Consortium, Bernhard-Nocht-Institute for Tropical Medicine, D-20359 Hamburg, Germany. ; Bernhard-Nocht-Institute for Tropical Medicine, D-20359 Hamburg, Germany. ; Ontario Institute for Cancer Research, Toronto M5G 0A3, Canada. ; Department of Computer Science, University of Toronto, Toronto M5S 3G4, Canada. ; European Centre for Disease Prevention and Control (ECDC), 171 65 Solna, Sweden. ; National Infection Service, Public Health England, London NW9 5EQ, UK. ; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 2FL, UK. ; Postgraduate Training for Applied Epidemiology (PAE, German FETP), Robert Koch Institute, D-13302 Berlin, Germany. ; National Infection Service, Public Health England, Porton Down, Wiltshire SP4 0JG, UK. ; Swiss Tropical and Public Health Institute, 4002 Basel, Switzerland. ; Robert Koch Institute, D-13302 Berlin, Germany. ; University College London, London WC1E 6BT, UK. ; Paul-Ehrlich-Institut, Division of Veterinary Medicine, D-63225 Langen, Germany. ; Institute of Infection and Global Health, University of Liverpool, Liverpool L69 7BE, UK. ; Laboratory for Clinical and Epidemiological Virology, Department of Microbiology and Immunology, KU Leuven, Leuven B-3000, Belgium. ; Ministry of Health Guinea, Conakry BP 585, Guinea. ; Kenya Medical Research Institute, Nairobi P.O. BOX 54840 - 00200, Kenya. ; National Institute for Infectious Diseases L. Spallanzani, 00149 Rome, Italy. ; Friedrich-Loeffler-Institute, D-17493 Greifswald, Germany. ; Federal Office for Civil Protection, Spiez Laboratory, 3700 Spiez, Switzerland. ; Janssen-Cilag, Stockholm, Box 7073 - 19207, Sweden. ; NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, Liverpool L69 7BE, UK. ; Institute of Virology, Technische Universitat Munchen, D-81675 Munich, Germany. ; Public Health Agency of Canada, Winnipeg, Manitoba R3E 3R2, Canada. ; Institut Pasteur Dakar, Dakar, DP 220 Senegal. ; Laboratoire de Fievres Hemorragiques de Guinee, Conakry BP 5680, Guinea. ; Sandia National Laboratories, PO Box 5800 MS1363, Albuquerque, New Mexico 87185-1363, USA. ; Ratoma Ebola Diagnostic Center, Conakry, Guinea. ; MRIGlobal, Kansas City, Missouri 64110-2241, USA. ; Expertise France, Laboratoire K-plan de Forecariah en Guinee, 75006 Paris, France. ; Federation des Laboratoires - HIA Begin, 94163 Saint-Mande cedex, France. ; Laboratoire de Biologie - Centre de Traitement des Soignants, Conakry, Guinea. ; World Health Organization, Conakry BP 817, Guinea. ; London School of Hygiene and Tropical Medicine, London EC1E 7HT, UK. ; Norwegian Institute of Public Health, PO Box 4404 Nydalen, 0403 Oslo, Norway. ; Public Health Wales, Cardiff CF11 9LJ, UK. ; Defence Science and Technology Laboratory (Dstl) Porton Down, Salisbury SP4 0JQ, UK. ; Oxford Nanopore Technologies, Oxford OX4 4GA, UK. ; Department of Cellular and Molecular Medicine, School of Medical Sciences, University of Bristol, Bristol BS8 1TD, UK. ; Academic Department of Military Medicine, Royal Centre for Defence Medicine, Birmingham B15 2TH, UK. ; Centre of Defence Pathology, Royal Centre for Defence Medicine, Birmingham B15 2TH, UK. ; Queen Elizabeth Hospital, Birmingham B12 2TH, UK. ; Bundeswehr Institute of Microbiology, D-80937 Munich, Germany. ; Institut National de Sante Publique, Conakry BP 1147, Guinea. ; Fogarty International Center, National Institutes of Health, Bethesda, MD 20892-2220, USA. ; Centre for Immunology, Infection and Evolution, University of Edinburgh, Edinburgh EH9 2FL, UK. ; University of Southampton, South General Hospital, Southampton SO16 6YD, UK. ; NIHR Health Protection Research Unit in Emerging and Zoonotic Infections, PHE Porton Down, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26840485" target="_blank"〉PubMed〈/a〉
    Keywords: Aircraft ; Disease Outbreaks/statistics & numerical data ; Ebolavirus/classification/*genetics/pathogenicity ; *Epidemiological Monitoring ; Genome, Viral/*genetics ; Guinea/epidemiology ; Hemorrhagic Fever, Ebola/*epidemiology/*virology ; Humans ; Mutagenesis/genetics ; Mutation Rate ; Sequence Analysis, DNA/*instrumentation/*methods ; Time Factors
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  • 6
    Publication Date: 2015-12-18
    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〉
    Keywords: Agriculture/*history ; Animals ; *Ecosystem ; History, Ancient ; Human Activities/*history ; Humans ; North America ; *Plant Physiological Phenomena ; Population Dynamics ; Time Factors
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