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Trait-based approaches for understanding microbial biodiversity and ecosystem functioning

In ecology, biodiversity-ecosystem functioning (BEF) research has seen a shift in perspective from taxonomy to function in the last two decades, with successful application of trait-based approaches. This shift offers opportunities for a deeper mechanistic understanding of the role of biodiversity i...

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Autores principales: Krause, Sascha, Le Roux, Xavier, Niklaus, Pascal A., Van Bodegom, Peter M., Lennon, Jay T., Bertilsson, Stefan, Grossart, Hans-Peter, Philippot, Laurent, Bodelier, Paul L. E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4033906/
https://www.ncbi.nlm.nih.gov/pubmed/24904563
http://dx.doi.org/10.3389/fmicb.2014.00251
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author Krause, Sascha
Le Roux, Xavier
Niklaus, Pascal A.
Van Bodegom, Peter M.
Lennon, Jay T.
Bertilsson, Stefan
Grossart, Hans-Peter
Philippot, Laurent
Bodelier, Paul L. E.
author_facet Krause, Sascha
Le Roux, Xavier
Niklaus, Pascal A.
Van Bodegom, Peter M.
Lennon, Jay T.
Bertilsson, Stefan
Grossart, Hans-Peter
Philippot, Laurent
Bodelier, Paul L. E.
author_sort Krause, Sascha
collection PubMed
description In ecology, biodiversity-ecosystem functioning (BEF) research has seen a shift in perspective from taxonomy to function in the last two decades, with successful application of trait-based approaches. This shift offers opportunities for a deeper mechanistic understanding of the role of biodiversity in maintaining multiple ecosystem processes and services. In this paper, we highlight studies that have focused on BEF of microbial communities with an emphasis on integrating trait-based approaches to microbial ecology. In doing so, we explore some of the inherent challenges and opportunities of understanding BEF using microbial systems. For example, microbial biologists characterize communities using gene phylogenies that are often unable to resolve functional traits. Additionally, experimental designs of existing microbial BEF studies are often inadequate to unravel BEF relationships. We argue that combining eco-physiological studies with contemporary molecular tools in a trait-based framework can reinforce our ability to link microbial diversity to ecosystem processes. We conclude that such trait-based approaches are a promising framework to increase the understanding of microbial BEF relationships and thus generating systematic principles in microbial ecology and more generally ecology.
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spelling pubmed-40339062014-06-05 Trait-based approaches for understanding microbial biodiversity and ecosystem functioning Krause, Sascha Le Roux, Xavier Niklaus, Pascal A. Van Bodegom, Peter M. Lennon, Jay T. Bertilsson, Stefan Grossart, Hans-Peter Philippot, Laurent Bodelier, Paul L. E. Front Microbiol Microbiology In ecology, biodiversity-ecosystem functioning (BEF) research has seen a shift in perspective from taxonomy to function in the last two decades, with successful application of trait-based approaches. This shift offers opportunities for a deeper mechanistic understanding of the role of biodiversity in maintaining multiple ecosystem processes and services. In this paper, we highlight studies that have focused on BEF of microbial communities with an emphasis on integrating trait-based approaches to microbial ecology. In doing so, we explore some of the inherent challenges and opportunities of understanding BEF using microbial systems. For example, microbial biologists characterize communities using gene phylogenies that are often unable to resolve functional traits. Additionally, experimental designs of existing microbial BEF studies are often inadequate to unravel BEF relationships. We argue that combining eco-physiological studies with contemporary molecular tools in a trait-based framework can reinforce our ability to link microbial diversity to ecosystem processes. We conclude that such trait-based approaches are a promising framework to increase the understanding of microbial BEF relationships and thus generating systematic principles in microbial ecology and more generally ecology. Frontiers Media S.A. 2014-05-27 /pmc/articles/PMC4033906/ /pubmed/24904563 http://dx.doi.org/10.3389/fmicb.2014.00251 Text en Copyright © 2014 Krause, Le Roux, Niklaus, Van Bodegom, Lennon, Bertilsson, Grossart, Philippot and Bodelier. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Krause, Sascha
Le Roux, Xavier
Niklaus, Pascal A.
Van Bodegom, Peter M.
Lennon, Jay T.
Bertilsson, Stefan
Grossart, Hans-Peter
Philippot, Laurent
Bodelier, Paul L. E.
Trait-based approaches for understanding microbial biodiversity and ecosystem functioning
title Trait-based approaches for understanding microbial biodiversity and ecosystem functioning
title_full Trait-based approaches for understanding microbial biodiversity and ecosystem functioning
title_fullStr Trait-based approaches for understanding microbial biodiversity and ecosystem functioning
title_full_unstemmed Trait-based approaches for understanding microbial biodiversity and ecosystem functioning
title_short Trait-based approaches for understanding microbial biodiversity and ecosystem functioning
title_sort trait-based approaches for understanding microbial biodiversity and ecosystem functioning
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4033906/
https://www.ncbi.nlm.nih.gov/pubmed/24904563
http://dx.doi.org/10.3389/fmicb.2014.00251
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