Determinants of community structure in the global plankton interactome

Tara Oceans Coordinators

Research output: Contribution to journalArticle

272 Citations (Scopus)

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, primary producers, viruses, and (mainly parasitic) symbionts and validated networkgenerated hypotheses using microscopy to confirm symbiotic relationships. We have thus provided a resource to support further research on ocean food webs and integrating biological components into ocean models.

Original languageEnglish (US)
Article number1262073
JournalScience
Volume348
Issue number6237
DOIs
StatePublished - May 22 2015

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Plankton
Oceans and Seas
Food Chain
Microscopy
Viruses
Research

ASJC Scopus subject areas

  • General

Cite this

Determinants of community structure in the global plankton interactome. / Tara Oceans Coordinators.

In: Science, Vol. 348, No. 6237, 1262073, 22.05.2015.

Research output: Contribution to journalArticle

Tara Oceans Coordinators. / Determinants of community structure in the global plankton interactome. In: Science. 2015 ; Vol. 348, No. 6237.
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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, primary producers, viruses, and (mainly parasitic) symbionts and validated networkgenerated hypotheses using microscopy to confirm symbiotic relationships. We have thus provided a resource to support further research on ocean food webs and integrating biological components into ocean models.",
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