Functional trait relationships demonstrate life strategies in terrestrial prokaryotes.

Random Forest modelling copiotroph-oligotroph niche differentiation theoretical ecology

Journal

FEMS microbiology ecology
ISSN: 1574-6941
Titre abrégé: FEMS Microbiol Ecol
Pays: England
ID NLM: 8901229

Informations de publication

Date de publication:
19 05 2021
Historique:
received: 20 01 2021
accepted: 05 05 2021
pubmed: 8 5 2021
medline: 28 5 2021
entrez: 7 5 2021
Statut: ppublish

Résumé

Functional, physiological traits are the underlying drivers of niche differentiation. A common framework related to niches occupied by terrestrial prokaryotes is based on copiotrophy or oligotrophy, where resource investment is primarily in either rapid growth or stress tolerance, respectively. A quantitative trait-based approach sought relationships between taxa, traits and niche in terrestrial prokaryotes. With 175 taxa from 11 Phyla and 35 Families (n = 5 per Family), traits were considered as discrete counts of shared genome-encoded proteins. Trait composition strongly supported non-random functional distributions as preferential clustering of related taxa via unweighted pair-group method with arithmetic mean. Trait similarity between taxa increased as taxonomic rank decreased. A suite of Random Forest models identified traits significantly enriched or depleted in taxonomic groups. These traits conveyed functions related to rapid growth, nutrient acquisition and stress tolerance consistent with their presence in copiotroph-oligotroph niches. Hierarchical clustering of traits identified a clade of competitive, copiotrophic Families resilient to oxidative stress versus glycosyltransferase-enriched oligotrophic Families resistant to antimicrobials and environmental stress. However, the formation of five clades suggested a more nuanced view to describe niche differentiation in terrestrial systems is necessary. We suggest considering traits involved in both resource investment and acquisition when predicting niche.

Identifiants

pubmed: 33960387
pii: 6271318
doi: 10.1093/femsec/fiab068
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of FEMS.

Auteurs

Damien R Finn (DR)

School of Agriculture and Food Sciences, University of Queensland, St Lucia, Brisbane 4072, Australia.
Environmental Microbial Genomics, Laboratoire Ampère, École Centrale de Lyon, Université de Lyon, Avenue Guy de Collongue 36 Écully 69134, France.
Thünen Institut für Biodiversität, Johann Heinrich von Thünen Institut, Bundesallee 65 Braunschweig 38116, Germany.

Benoît Bergk-Pinto (B)

Environmental Microbial Genomics, Laboratoire Ampère, École Centrale de Lyon, Université de Lyon, Avenue Guy de Collongue 36 Écully 69134, France.

Christina Hazard (C)

Environmental Microbial Genomics, Laboratoire Ampère, École Centrale de Lyon, Université de Lyon, Avenue Guy de Collongue 36 Écully 69134, France.

Graeme W Nicol (GW)

Environmental Microbial Genomics, Laboratoire Ampère, École Centrale de Lyon, Université de Lyon, Avenue Guy de Collongue 36 Écully 69134, France.

Christoph C Tebbe (CC)

Thünen Institut für Biodiversität, Johann Heinrich von Thünen Institut, Bundesallee 65 Braunschweig 38116, Germany.

Timothy M Vogel (TM)

Environmental Microbial Genomics, Laboratoire Ampère, École Centrale de Lyon, Université de Lyon, Avenue Guy de Collongue 36 Écully 69134, France.

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