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Microbial communities display alternative stable states in a fluctuating environment
The effect of environmental fluctuations is a major question in ecology. While it is widely accepted that fluctuations and other types of disturbances can increase biodiversity, there are fewer examples of other types of outcomes in a fluctuating environment. Here we explore this question with labor...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274482/ https://www.ncbi.nlm.nih.gov/pubmed/32453781 http://dx.doi.org/10.1371/journal.pcbi.1007934 |
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author | Abreu, Clare I. Andersen Woltz, Vilhelm L. Friedman, Jonathan Gore, Jeff |
author_facet | Abreu, Clare I. Andersen Woltz, Vilhelm L. Friedman, Jonathan Gore, Jeff |
author_sort | Abreu, Clare I. |
collection | PubMed |
description | The effect of environmental fluctuations is a major question in ecology. While it is widely accepted that fluctuations and other types of disturbances can increase biodiversity, there are fewer examples of other types of outcomes in a fluctuating environment. Here we explore this question with laboratory microcosms, using cocultures of two bacterial species, P. putida and P. veronii. At low dilution rates we observe competitive exclusion of P. veronii, whereas at high dilution rates we observe competitive exclusion of P. putida. When the dilution rate alternates between high and low, we do not observe coexistence between the species, but rather alternative stable states, in which only one species survives and initial species’ fractions determine the identity of the surviving species. The Lotka-Volterra model with a fluctuating mortality rate predicts that this outcome is independent of the timing of the fluctuations, and that the time-averaged mortality would also lead to alternative stable states, a prediction that we confirm experimentally. Other pairs of species can coexist in a fluctuating environment, and again consistent with the model we observe coexistence in the time-averaged dilution rate. We find a similar time-averaging result holds in a three-species community, highlighting that simple linear models can in some cases provide powerful insight into how communities will respond to environmental fluctuations. |
format | Online Article Text |
id | pubmed-7274482 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-72744822020-06-16 Microbial communities display alternative stable states in a fluctuating environment Abreu, Clare I. Andersen Woltz, Vilhelm L. Friedman, Jonathan Gore, Jeff PLoS Comput Biol Research Article The effect of environmental fluctuations is a major question in ecology. While it is widely accepted that fluctuations and other types of disturbances can increase biodiversity, there are fewer examples of other types of outcomes in a fluctuating environment. Here we explore this question with laboratory microcosms, using cocultures of two bacterial species, P. putida and P. veronii. At low dilution rates we observe competitive exclusion of P. veronii, whereas at high dilution rates we observe competitive exclusion of P. putida. When the dilution rate alternates between high and low, we do not observe coexistence between the species, but rather alternative stable states, in which only one species survives and initial species’ fractions determine the identity of the surviving species. The Lotka-Volterra model with a fluctuating mortality rate predicts that this outcome is independent of the timing of the fluctuations, and that the time-averaged mortality would also lead to alternative stable states, a prediction that we confirm experimentally. Other pairs of species can coexist in a fluctuating environment, and again consistent with the model we observe coexistence in the time-averaged dilution rate. We find a similar time-averaging result holds in a three-species community, highlighting that simple linear models can in some cases provide powerful insight into how communities will respond to environmental fluctuations. Public Library of Science 2020-05-26 /pmc/articles/PMC7274482/ /pubmed/32453781 http://dx.doi.org/10.1371/journal.pcbi.1007934 Text en © 2020 Abreu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Abreu, Clare I. Andersen Woltz, Vilhelm L. Friedman, Jonathan Gore, Jeff Microbial communities display alternative stable states in a fluctuating environment |
title | Microbial communities display alternative stable states in a fluctuating environment |
title_full | Microbial communities display alternative stable states in a fluctuating environment |
title_fullStr | Microbial communities display alternative stable states in a fluctuating environment |
title_full_unstemmed | Microbial communities display alternative stable states in a fluctuating environment |
title_short | Microbial communities display alternative stable states in a fluctuating environment |
title_sort | microbial communities display alternative stable states in a fluctuating environment |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274482/ https://www.ncbi.nlm.nih.gov/pubmed/32453781 http://dx.doi.org/10.1371/journal.pcbi.1007934 |
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