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Oxford University Press, FEMS Microbiology Ecology, 5(91), 2015

DOI: 10.1093/femsec/fiv031

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Phylogenetic structure of soil bacterial communities predicts ecosystem functioning

Journal article published in 2015 by Eduardo Perez-Valera, Marta Goberna, Miguel Verdu ORCID
This paper is available in a repository.
This paper is available in a repository.

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Abstract

Quantifying diversity with phylogeny-informed metrics helps understand the effects of diversity on ecosystem functioning (EF). The sign of these effects remains controversial because phylogenetic diversity and taxonomic identity may interactively influence EF. Positive relationships, traditionally attributed to complementarity effects, seem unimportant in natural soil bacterial communities. Negative relationships could be attributed to fitness differences leading to the overrepresentation of few productive clades, a mechanism recently invoked to assemble soil bacteria communities. We tested in two ecosystems contrasting in terms of environmental heterogeneity whether two metrics of phylogenetic community structure, a simpler measure of phylogenetic diversity (NRI) and a more complex metric incorporating taxonomic identity (PCPS), correctly predict microbially mediated EF. We show that the relationship between phylogenetic diversity and EF depends on the taxonomic identity of the main coexisting lineages. Phylogenetic diversity was negatively related to EF in soils where a marked fertility gradient exists and a single and productive clade (Proteobacteria) outcompete other clades in the most fertile plots. However, phylogenetic diversity was unrelated to EF in soils where the fertility gradient is less marked and Proteobacteria coexist with other abundant lineages. Including the taxonomic identity of bacterial lineages in metrics of phylogenetic community structure allows the prediction of EF in both ecosystems. ; This work was supported by the Spanish Ministry of Science and Innovation (R+D Project CGL2011-29585-C02-01), the EU (FP7-PEOPLE-2009-RG-248155) and the BBVA foundation (project Mintegra; I Convocatoria de ayudas de la fundación BBVA a proyectos de investigación). EPV acknowledges support by the FPI programme and MG by the Ramón y Cajal Programme (Spanish Ministry of Economy and Competitiveness). ; Peer Reviewed