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  • Articles  (4)
  • *Ecosystem  (4)
  • 2015-2019  (4)
  • 1980-1984
  • 1965-1969
  • Nature. 521(7552): E5-6. doi: 10.1038/nature14393.  (1)
  • Nature. 526(7574): 574-7. doi: 10.1038/nature15374.  (1)
  • Nature. 531(7595): 466-70. doi: 10.1038/nature17193.  (1)
  • Nature. 532(7600): 465-70. doi: 10.1038/nature16942.  (1)
  • 328
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  • Articles  (4)
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  • 1
    Publication Date: 2015-05-23
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Edwards, Erika J -- de Vos, Jurriaan M -- Donoghue, Michael J -- England -- Nature. 2015 May 21;521(7552):E5-6. doi: 10.1038/nature14393.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Ecology and Evolutionary Biology, Brown University, 80 Waterman St, Box G-W, Providence, Rhodes Island 02912, USA. ; Department of Ecology and Evolutionary Biology, Yale University, PO Box 208105, New Haven, Connecticut 06520, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25993970" target="_blank"〉PubMed〈/a〉
    Keywords: Angiosperms/*anatomy & histology/*physiology ; *Biological Evolution ; *Cold Climate ; *Ecosystem ; *Freezing ; Xylem/*anatomy & histology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2016-02-11
    Description: The biological carbon pump is the process by which CO2 is transformed to organic carbon via photosynthesis, exported through sinking particles, and finally sequestered in the deep ocean. While the intensity of the pump correlates with plankton community composition, the underlying ecosystem structure driving the process remains largely uncharacterized. Here we use environmental and metagenomic data gathered during the Tara Oceans expedition to improve our understanding of carbon export in the oligotrophic ocean. We show that specific plankton communities, from the surface and deep chlorophyll maximum, correlate with carbon export at 150 m and highlight unexpected taxa such as Radiolaria and alveolate parasites, as well as Synechococcus and their phages, as lineages most strongly associated with carbon export in the subtropical, nutrient-depleted, oligotrophic ocean. Additionally, we show that the relative abundance of a few bacterial and viral genes can predict a significant fraction of the variability in carbon export in these regions.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851848/" 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/PMC4851848/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Guidi, Lionel -- Chaffron, Samuel -- Bittner, Lucie -- Eveillard, Damien -- Larhlimi, Abdelhalim -- Roux, Simon -- Darzi, Youssef -- Audic, Stephane -- Berline, Leo -- Brum, Jennifer R -- Coelho, Luis Pedro -- Espinoza, Julio Cesar Ignacio -- Malviya, Shruti -- Sunagawa, Shinichi -- Dimier, Celine -- Kandels-Lewis, Stefanie -- Picheral, Marc -- Poulain, Julie -- Searson, Sarah -- Tara Oceans Consortium Coordinators -- Stemmann, Lars -- Not, Fabrice -- Hingamp, Pascal -- Speich, Sabrina -- Follows, Mick -- Karp-Boss, Lee -- Boss, Emmanuel -- Ogata, Hiroyuki -- Pesant, Stephane -- Weissenbach, Jean -- Wincker, Patrick -- Acinas, Silvia G -- Bork, Peer -- de Vargas, Colomban -- Iudicone, Daniele -- Sullivan, Matthew B -- Raes, Jeroen -- Karsenti, Eric -- Bowler, Chris -- Gorsky, Gabriel -- England -- Nature. 2016 Apr 28;532(7600):465-70. doi: 10.1038/nature16942. Epub 2016 Feb 10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Sorbonne Universites, UPMC Universite Paris 06, CNRS, Laboratoire d'oceanographie de Villefranche (LOV), Observatoire Oceanologique, 06230 Villefranche-sur-Mer, France. ; Department of Oceanography, University of Hawaii, Honolulu, Hawaii 96822, USA. ; Department of Microbiology and Immunology, Rega Institute, KU Leuven, Herestraat 49, 3000 Leuven, Belgium. ; Center for the Biology of Disease, VIB, Herestraat 49, 3000 Leuven, Belgium. ; Department of Applied Biological Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium. ; Sorbonne Universites, UPMC Univ Paris 06, CNRS, Institut de Biologie Paris-Seine (IBPS), Evolution Paris Seine, F-75005, Paris, France. ; Ecole Normale Superieure, PSL Research University, Institut de Biologie de l'Ecole Normale Superieure (IBENS), CNRS UMR 8197, INSERM U1024, 46 rue d'Ulm, F-75005 Paris, France. ; Sorbonne Universites, UPMC Universite Paris 06, CNRS, Laboratoire Adaptation et Diversite en Milieu Marin, Station Biologique de Roscoff, 29680 Roscoff, France. ; LINA UMR 6241, Universite de Nantes, EMN, CNRS, 44322 Nantes, France. ; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721, USA. ; Structural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstr. 1, 69117 Heidelberg, Germany. ; Directors' Research European Molecular Biology Laboratory Meyerhofstr. 1, 69117 Heidelberg, Germany. ; CEA - Institut de Genomique, GENOSCOPE, 2 rue Gaston Cremieux, 91057 Evry, France. ; Aix Marseille Universite, CNRS, IGS, UMR 7256, 13288 Marseille, France. ; Department of Geosciences, Laboratoire de Meteorologie Dynamique (LMD), Ecole Normale Superieure, 24 rue Lhomond, 75231 Paris CEDEX 05, France. ; Dept of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. ; School of Marine Sciences, University of Maine, Orono, Maine 04469, USA. ; Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto, 611-0011, Japan. ; PANGAEA, Data Publisher for Earth and Environmental Science, University of Bremen, 28359 Bremen, Germany. ; MARUM, Center for Marine Environmental Sciences, University of Bremen, 28359 Bremen, Germany. ; CNRS, UMR 8030, CP 5706 Evry, France. ; Universite d'Evry, UMR 8030, CP 5706 Evry, France. ; Department of Marine Biology and Oceanography, Institute of Marine Sciences (ICM)-CSIC, Pg. Maritim de la Barceloneta 37-49, Barcelona E0800, Spain. ; Max-Delbruck-Centre for Molecular Medicine, 13092 Berlin, Germany. ; Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Naples, Italy.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26863193" target="_blank"〉PubMed〈/a〉
    Keywords: Aquatic Organisms/genetics/isolation & purification/*metabolism ; Carbon/*metabolism ; Chlorophyll/metabolism ; Dinoflagellida/genetics/isolation & purification/metabolism ; *Ecosystem ; Expeditions ; Genes, Bacterial ; Genes, Viral ; Geography ; Oceans and Seas ; Photosynthesis ; Plankton/genetics/isolation & purification/*metabolism ; Seawater/*chemistry/microbiology/parasitology ; Synechococcus/genetics/isolation & purification/metabolism/virology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2015-10-16
    Description: It remains unclear whether biodiversity buffers ecosystems against climate extremes, which are becoming increasingly frequent worldwide. Early results suggested that the ecosystem productivity of diverse grassland plant communities was more resistant, changing less during drought, and more resilient, recovering more quickly after drought, than that of depauperate communities. However, subsequent experimental tests produced mixed results. Here we use data from 46 experiments that manipulated grassland plant diversity to test whether biodiversity provides resistance during and resilience after climate events. We show that biodiversity increased ecosystem resistance for a broad range of climate events, including wet or dry, moderate or extreme, and brief or prolonged events. Across all studies and climate events, the productivity of low-diversity communities with one or two species changed by approximately 50% during climate events, whereas that of high-diversity communities with 16-32 species was more resistant, changing by only approximately 25%. By a year after each climate event, ecosystem productivity had often fully recovered, or overshot, normal levels of productivity in both high- and low-diversity communities, leading to no detectable dependence of ecosystem resilience on biodiversity. Our results suggest that biodiversity mainly stabilizes ecosystem productivity, and productivity-dependent ecosystem services, by increasing resistance to climate events. Anthropogenic environmental changes that drive biodiversity loss thus seem likely to decrease ecosystem stability, and restoration of biodiversity to increase it, mainly by changing the resistance of ecosystem productivity to climate events.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Isbell, Forest -- Craven, Dylan -- Connolly, John -- Loreau, Michel -- Schmid, Bernhard -- Beierkuhnlein, Carl -- Bezemer, T Martijn -- Bonin, Catherine -- Bruelheide, Helge -- de Luca, Enrica -- Ebeling, Anne -- Griffin, John N -- Guo, Qinfeng -- Hautier, Yann -- Hector, Andy -- Jentsch, Anke -- Kreyling, Jurgen -- Lanta, Vojtech -- Manning, Pete -- Meyer, Sebastian T -- Mori, Akira S -- Naeem, Shahid -- Niklaus, Pascal A -- Polley, H Wayne -- Reich, Peter B -- Roscher, Christiane -- Seabloom, Eric W -- Smith, Melinda D -- Thakur, Madhav P -- Tilman, David -- Tracy, Benjamin F -- van der Putten, Wim H -- van Ruijven, Jasper -- Weigelt, Alexandra -- Weisser, Wolfgang W -- Wilsey, Brian -- Eisenhauer, Nico -- England -- Nature. 2015 Oct 22;526(7574):574-7. doi: 10.1038/nature15374. Epub 2015 Oct 14.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Ecology, Evolution and Behavior, University of Minnesota Twin Cities, Saint Paul, Minnesota 55108, USA. ; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, 04103 Leipzig, Germany. ; Institute of Biology, Leipzig University, Johannisallee 21, 04103 Leipzig, Germany. ; Ecological and Environmental Modelling Group, School of Mathematics and Statistics, University College Dublin, Dublin 4, Ireland. ; Centre for Biodiversity Theory and Modelling, Experimental Ecology Station, Centre National de la Recherche Scientifique, Moulis 09200, France. ; Institute of Evolutionary Biology and Environmental Studies, University of Zurich, 8057 Zurich, Switzerland. ; Department of Biogeography, BayCEER, University of Bayreuth, 95440 Bayreuth, Germany. ; Department of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), PO Box 50, 6700 AB Wageningen, The Netherlands. ; Department of Agronomy, Iowa State University, Ames, Iowa 50011, USA. ; Institute of Biology, Martin Luther University Halle-Wittenberg, 06108 Halle, Germany. ; Institute of Ecology, Friedrich Schiller University Jena, Dornburger Strasse 159, 07743 Jena, Germany. ; Department of Biosciences, Swansea University, Singleton Park, Swansea SA28PP, UK. ; USDA FS, Eastern Forest Environmental Threat Assessment Center, RTP, North Carolina 27709, USA. ; Ecology and Biodiversity Group, Department of Biology, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands. ; Department of Plant Sciences, University of Oxford, Oxford OX1 3RB, UK. ; Disturbance Ecology, BayCEER, University of Bayreuth, 95440 Bayreuth, Germany. ; Institute of Botany and Landscape Ecology, Ernst-Moritz-Arndt University Greifswald, D-17487 Greifswald, Germany. ; Department of Botany, Faculty of Science, University of South Bohemia, Branisovska 31, 37005 Ceske Budejovice, Czech Republic. ; Institute for Plant Sciences, University of Bern, CH-3013 Bern, Switzerland. ; Department of Ecology and Ecosystem Management, School of Life Sciences Weihenstephan, Technische Universitat Munchen, 85354 Freising, Germany. ; Graduate School of Environment and Information Sciences, Yokohama National University, 79-7 Tokiwadai, Hodogaya, Yokohama, Kanagawa, 240-8501, Japan. ; Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, New York 10027, USA. ; US Department of Agriculture Agricultural Research Service, Grassland, Soil and Water Research Laboratory, Temple, Texas 76502, USA. ; Department of Forest Resources, University of Minnesota Twin Cities, Saint Paul, Minnesota 55108 USA. ; Hawkesbury Institute for the Environment, University of Western Sydney, Penrith, New South Wales 2753, Australia. ; UFZ Helmholtz Centre for Environmental Research, Community Ecology, 06120 Halle, Germany. ; Graduate Degree Program in Ecology and Department of Biology, Colorado State University, Fort Collins, Colorado 80523, USA. ; Bren School of Environmental Science and Management, University of California, Santa Barbara, California 93106 USA. ; Crop and Soil Environmental Sciences, Smyth Hall 0404, Virginia Tech, Blacksburg, Virginia 24061, USA. ; Laboratory of Nematology, Wageningen University and Research Centre, PO Box 8123, 6700 ES Wageningen, The Netherlands. ; Nature Conservation and Plant Ecology Group, Wageningen University, PO Box 47, 6700 AA Wageningen, The Netherlands. ; Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, Iowa 50011, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26466564" target="_blank"〉PubMed〈/a〉
    Keywords: *Biodiversity ; *Climate ; Climate Change/statistics & numerical data ; Conservation of Natural Resources ; Disasters/statistics & numerical data ; Droughts ; *Ecosystem ; Grassland ; Human Activities ; *Plant Physiological Phenomena
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2016-03-17
    Description: Microbial viruses can control host abundances via density-dependent lytic predator-prey dynamics. Less clear is how temperate viruses, which coexist and replicate with their host, influence microbial communities. Here we show that virus-like particles are relatively less abundant at high host densities. This suggests suppressed lysis where established models predict lytic dynamics are favoured. Meta-analysis of published viral and microbial densities showed that this trend was widespread in diverse ecosystems ranging from soil to freshwater to human lungs. Experimental manipulations showed viral densities more consistent with temperate than lytic life cycles at increasing microbial abundance. An analysis of 24 coral reef viromes showed a relative increase in the abundance of hallmark genes encoded by temperate viruses with increased microbial abundance. Based on these four lines of evidence, we propose the Piggyback-the-Winner model wherein temperate dynamics become increasingly important in ecosystems with high microbial densities; thus 'more microbes, fewer viruses'.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Knowles, B -- Silveira, C B -- Bailey, B A -- Barott, K -- Cantu, V A -- Cobian-Guemes, A G -- Coutinho, F H -- Dinsdale, E A -- Felts, B -- Furby, K A -- George, E E -- Green, K T -- Gregoracci, G B -- Haas, A F -- Haggerty, J M -- Hester, E R -- Hisakawa, N -- Kelly, L W -- Lim, Y W -- Little, M -- Luque, A -- McDole-Somera, T -- McNair, K -- de Oliveira, L S -- Quistad, S D -- Robinett, N L -- Sala, E -- Salamon, P -- Sanchez, S E -- Sandin, S -- Silva, G G Z -- Smith, J -- Sullivan, C -- Thompson, C -- Vermeij, M J A -- Youle, M -- Young, C -- Zgliczynski, B -- Brainard, R -- Edwards, R A -- Nulton, J -- Thompson, F -- Rohwer, F -- England -- Nature. 2016 Mar 24;531(7595):466-70. doi: 10.1038/nature17193. Epub 2016 Mar 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology, San Diego State University, 5500 Campanile Drive, San Diego, California 92182, USA. ; Biology Institute, Rio de Janeiro Federal University, Av. Carlos Chagas Filho 373, Rio de Janeiro, Rio de Janeiro 21941-599, Brazil. ; Department of Mathematics and Statistics, San Diego State University, 5500 Campanile Drive, San Diego, California 92182, USA. ; Hawaii Institute of Marine Biology, University of Hawaii at Manoa, 46-007 Lilipuna Road, Kaneohe, Hawaii 96744, USA. ; Computational Science Research Center, San Diego State University, 5500 Campanile Drive, San Diego, California 92182, USA. ; Rainbow Rock, Ocean View, Hawaii 96737, USA. ; Radboud University Medical Centre, Radboud Institute for Molecular Life Sciences, Centre for Molecular and Biomolecular Informatics, 6525HP Nijmegen, The Netherlands. ; Viral Information Institute, San Diego State University, 5500 Campanile Drive, San Diego, California 92182, USA. ; Scripps Institution of Oceanography, 8622 Kennel Way, La Jolla, California 92037, USA. ; Department of Biology, University of California San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. ; Marine Sciences Department, Sao Paulo Federal University - Baixada Santista, Av. Alm. Saldanha da Gama, 89, Santos, Sao Paulo 11030-400, Brazil. ; National Geographic Society, 1145 17th St NW, Washington D.C. 20036, USA. ; CARMABI Foundation, Piscaderabaai z/n, Willemstad, Curacao, Netherlands Antilles. ; Aquatic Microbiology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, 1098XH Amsterdam, The Netherlands.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26982729" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Anthozoa/physiology/*virology ; Bacteriophages/pathogenicity/physiology ; Coral Reefs ; *Ecosystem ; Genes, Viral/genetics ; *Host-Pathogen Interactions ; Lysogeny ; Models, Biological ; Virulence/genetics ; Viruses/genetics/isolation & purification/*pathogenicity
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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