Faust, Karoline
Lima Mendez, Gipsi
[UCL]
Lerat, Jean-Sébastien
[UCL]
Sathirapongsasuti, Jarupon F.
Knight, Rob
Huttenhower, Curtis
Lenaerts, Tom
Raes, Jeroen
et al. [show all ]
Clinicalandenvironmentalmeta-omicsstudiesareaccumulatinganever-growingamountofmicrobialabundancedataoverawiderangeofecosystems.Withasufficientlylargesamplenumber,thesemicrobialcommunitiescanbeexploredbyconstructingandanalyzingco-occurrencenetworks,whichdetecttaxonassociationsfromabundancedataandcangiveinsightsintocommunitystructure.Here,weinvestigatehowco-occurrencenetworksdifferacrossbiomesandwhichotherfactorsinfluencetheirproperties.Forthis,weinferredmicrobialassociationnetworksfrom20different16SrDNAsequencingdatasetsandobservedthatsoilmicrobialnetworksharborproportionallyfewerpositiveassociationsandarelessdenselyinterconnectedthanhost-associatednetworks.Afterexcludingsamplenumber,sequencingdepthandbeta-diversityaspossibledrivers,wefoundanegativecorrelationbetweencommunityevennessandpositiveedgepercentage.Thiscorrelationlikelyresultsfromaskeweddistributionofnegativeinteractions,whichtakeplacepreferentiallybetweenlessprevalenttaxa.Overall,ourresultssuggestanunder-appreciatedroleofevennessinshapingmicrobialassociationnetworks.
Bibliographic reference
Faust, Karoline ; Lima Mendez, Gipsi ; Lerat, Jean-Sébastien ; Sathirapongsasuti, Jarupon F. ; Knight, Rob ; et. al. Cross-biome comparison of microbial association networks. In: Frontiers in Microbiology , Vol. 6, no.1, p. 1200 (2015)
Permanent URL
http://hdl.handle.net/2078.1/231554
