2015
DOI: 10.1126/science.1262073
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Abstract: Species interaction networks are shaped by abiotic and biotic factors. Here, as part of the Tara Oceans project, we studied the photic zone interactome using environmental factors and organismal abundance profiles and found that environmental factors are incomplete predictors of community structure. We found associations across plankton functional types and phylogenetic groups to be nonrandomly distributed on the network and driven by both local and global patterns. We identified interactions among grazers, pr… Show more

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Cited by 770 publications
(689 citation statements)
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References 61 publications
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“…This notion is supported by the observation that phylogenetically related microbes have a tendency to positively co-occur (Lozupone et al, 2012). Recent studies suggest that the microbial relationships shown in correlation interaction networks can be used to determine drivers in environmental ecology (Ruan et al, 2006;Steele et al, 2011;Zhou et al, 2011;Lima-Mendez et al, 2015) or contribution to habitat niches or disease (Chaffron et al, 2010;Arumugam et al, 2011;Greenblum et al, 2012;Oakley et al, 2013;Goodrich et al, 2014;Buffie et al, 2015). Correlation is also a powerful tool to help researchers with hypothesis generation, such as determining which interactions might be biologically relevant in their system, and should be given further study (for example, through co-culturing or whole-genome sequencing).…”
Section: Introductionsupporting
confidence: 56%
“…This notion is supported by the observation that phylogenetically related microbes have a tendency to positively co-occur (Lozupone et al, 2012). Recent studies suggest that the microbial relationships shown in correlation interaction networks can be used to determine drivers in environmental ecology (Ruan et al, 2006;Steele et al, 2011;Zhou et al, 2011;Lima-Mendez et al, 2015) or contribution to habitat niches or disease (Chaffron et al, 2010;Arumugam et al, 2011;Greenblum et al, 2012;Oakley et al, 2013;Goodrich et al, 2014;Buffie et al, 2015). Correlation is also a powerful tool to help researchers with hypothesis generation, such as determining which interactions might be biologically relevant in their system, and should be given further study (for example, through co-culturing or whole-genome sequencing).…”
Section: Introductionsupporting
confidence: 56%
“…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%
“…Various studies have used the network approach to illustrate the interactions among microbes, yet the interactions are usually defined by co-existence in a water sample or by co-variation throughout time series (for example, Barberan et al, 2011;Eiler et al, 2011;Steele et al, 2011;Lima-Mendez et al, 2015), yet rarely by a real quantification of the interaction strengths (ISs) in terms of carbon flow, for example. We previously developed a metric that captures the mutualistic interaction of several bacterioplankton phylogenetic groups and different phytoplankton species mediated by DOCp, applying an adapted version of the MAR-FISH (microautoradiography combined with fluorescent in situ hybridization) technique with radiolabeled exudates from axenic algal cultures (Sarmento and Gasol, 2012).…”
Section: Introductionmentioning
confidence: 99%