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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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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. |
format | Online Article Text |
id | pubmed-4033906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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