| Literature DB >> 25999517 |
Gipsi Lima-Mendez1, Karoline Faust1, Nicolas Henry2, Johan Decelle2, Sébastien Colin3, Fabrizio Carcillo4, Samuel Chaffron1, J Cesar Ignacio-Espinosa5, Simon Roux5, Flora Vincent6, Lucie Bittner7, Youssef Darzi8, Jun Wang9, Stéphane Audic2, Léo Berline10, Gianluca Bontempi11, Ana M Cabello12, Laurent Coppola10, Francisco M Cornejo-Castillo12, Francesco d'Ovidio13, Luc De Meester14, Isabel Ferrera12, Marie-José Garet-Delmas2, Lionel Guidi10, Elena Lara12, Stéphane Pesant15, Marta Royo-Llonch12, Guillem Salazar12, Pablo Sánchez12, Marta Sebastian12, Caroline Souffreau14, Céline Dimier3, Marc Picheral10, Sarah Searson10, Stefanie Kandels-Lewis16, Gabriel Gorsky10, Fabrice Not2, Hiroyuki Ogata17, Sabrina Speich18, Lars Stemmann10, Jean Weissenbach19, Patrick Wincker19, Silvia G Acinas12, Shinichi Sunagawa20, Peer Bork21, Matthew B Sullivan5, Eric Karsenti22, Chris Bowler23, Colomban de Vargas24, Jeroen Raes25.
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 network-generated 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.Entities:
Mesh：
Year: 2015 PMID： 25999517 DOI： 10.1126/science.1262073
Source DB: PubMed Journal: Science ISSN： 0036-8075 Impact factor: 47.728