2016
DOI: 10.1038/nature16942
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Plankton networks driving carbon export in the oligotrophic ocean

Abstract: The biological carbon pump is the process by which CO 2 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 uncharacterised. Here we use environmental and metagenomic data gathered during the Tara Oceans expedition to improve our understanding of carbon export in the oligotrophic oce… Show more

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Cited by 680 publications
(626 citation statements)
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“…High-throughput omics data offer great potential to reveal the global structure of transient marine planktonic ecosystems, since genetic methods compare favorably to traditional observational methods such as microscopy or flow cytometry in terms of the time expenditure, expert knowledge required to identify organisms, and the cost of equipment and analysis. The growing spatial coverage of data enables researchers to estimate global-scale taxonomic diversity of unicellular eukaryotes (de Vargas et al, 2015), to identify the main environmental drivers of community structure in marine prokaryotes (Sunagawa et al, 2015), and to delve into the complexity of biotic interactions between plankton species spanning multiple domains of life, as well as their link to global biogeochemical cycling (Lima-Mendez et al, 2015;Guidi et al, 2016). Complementary to a "bulk" screening of marine biodiversity, single-cell genomics approaches allow matching of phenotype and genotype, and have been used to investigate the phylogenetic affinities of microbial dark matter (i.e., currently unculturable microbial organisms; Rinke et al, 2013;Hug et al, 2016) and to uncover niche partitioning within globally distributed lineages of marine microbes (Kashtan et al, 2014).…”
Section: The New Wealth Of Plankton Datamentioning
confidence: 99%
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“…High-throughput omics data offer great potential to reveal the global structure of transient marine planktonic ecosystems, since genetic methods compare favorably to traditional observational methods such as microscopy or flow cytometry in terms of the time expenditure, expert knowledge required to identify organisms, and the cost of equipment and analysis. The growing spatial coverage of data enables researchers to estimate global-scale taxonomic diversity of unicellular eukaryotes (de Vargas et al, 2015), to identify the main environmental drivers of community structure in marine prokaryotes (Sunagawa et al, 2015), and to delve into the complexity of biotic interactions between plankton species spanning multiple domains of life, as well as their link to global biogeochemical cycling (Lima-Mendez et al, 2015;Guidi et al, 2016). Complementary to a "bulk" screening of marine biodiversity, single-cell genomics approaches allow matching of phenotype and genotype, and have been used to investigate the phylogenetic affinities of microbial dark matter (i.e., currently unculturable microbial organisms; Rinke et al, 2013;Hug et al, 2016) and to uncover niche partitioning within globally distributed lineages of marine microbes (Kashtan et al, 2014).…”
Section: The New Wealth Of Plankton Datamentioning
confidence: 99%
“…Recently, the exploration of the plankton "interactome" (Lima-Mendez et al, 2015) allowed to describe how biotic interactions occur across trophic levels and relate to environmental conditions and ecosystem functioning, with many new symbiotic interactions identified (Guidi et al, 2016). When prior knowledge is too limited, food-web models could be inferred from simple size-based, or multi-traits assumptions (Albouy et al, 2014), or based on ecosystem models (e.g., Follows et al, 2007;Le Quéré et al, 2016) in combination with satellite estimates of (phyto)plankton community composition (e.g., Hirata et al, 2011).…”
Section: Species Distribution Modeling-running Before We Can Walk?mentioning
confidence: 99%
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“…One promising method to elucidate these types of complex interactions is network analysis. Ecological network approaches have been successfully applied to investigate the complexity of interactions among zooplankton and phytoplankton from different trophic levels during the Tara Oceans Expedition project (Lima-Mendez et al, 2015;Guidi et al, 2016). Elucidating the complex interactions between bacterioplankton and other marine organisms under anthropogenic perturbations will increase our understanding of their impact in a holistic way.…”
Section: Introductionmentioning
confidence: 99%
“…On the smaller scale of such investigations are microcosm studies of sinking particles in rolling tanks (Shanks and Trent, 1980;Passow and De La Rocha, 2006) and flow through systems (Ploug et al, 2008;Long et al, 2015) that allow controlled examination of selected processes and interactions. At the other extreme are regional and global scale studies based on models, remote sensing, and observational data from time-series, cameras, autonomous platforms, and sediment traps (Klaas and Archer, 2002;Honjo et al, 2008;Klaas et al, 2008;Lee et al, 2009;Lam et al, 2011;Assmy et al, 2013;Quéguiner, 2013;Giering et al, 2014;Sanders et al, 2014;Guidi et al, 2016). However, whereas small scale laboratory investigations allow full control over environmental variables and mechanistic investigations, they often lack natural community composition.…”
Section: Introductionmentioning
confidence: 99%