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Plankton networks driving carbon export in the oligotrophic ocean

Official URL:https://doi.org/10.1038/nature16942
PubMed:View item in PubMed
Creators Name:Guidi, L. and Chaffron, S. and Bittner, L. and Eveillard, D. and Larhlimi, A. and Roux, S. and Darzi, Y. and Audic, S. and Berline, L. and Brum, J. and Coelho, L.P. and Espinoza, J.C.I. and Malviya, S. and Sunagawa, S. and Dimier, C. and Kandels-Lewis, S. and Picheral, M. and Poulain, J. and Searson, S. and Stemmann, L. and Not, F. and Hingamp, P. and Speich, S. and Follows, M. and Karp-Boss, L. and Boss, E. and Ogata, H. and Pesant, S. and Weissenbach, J. and Wincker, P. and Acinas, S.G. and Bork, P. and de Vargas, C. and Iudicone, D. and Sullivan, M.B. and Raes, J. and Karsenti, E. and Bowler, C. and Gorsky, G.
Journal Title:Nature
Journal Abbreviation:Nature
Volume:532
Number:7600
Page Range:465-470
Date:28 April 2016
Keywords:Aquatic Organisms, Bacterial Genes, Carbon, Chlorophyll, Dinoflagellida, Ecosystem, Expeditions, Geography, Oceans and Seas, Photosynthesis, Plankton, Seawater, Synechococcus, Viral Genes
Abstract: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.
ISSN:0028-0836
Publisher:Nature Publishing Group (U.K.)
Item Type:Article

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