Thermal traits govern the response of microbial community dynamics and ecosystem functioning to warming
Understanding the ecological processes that underpin the dynamics of community turnover in response to environmental change is critical to predicting how warming will influence ecosystem functioning. Here, we quantify the effect of changing temperature on community composition and ecosystem function...
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Online Access: | http://dx.doi.org/10.3389/fmicb.2022.906252 https://www.frontiersin.org/articles/10.3389/fmicb.2022.906252/full |
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crfrontiers:10.3389/fmicb.2022.906252 2024-02-11T10:05:11+01:00 Thermal traits govern the response of microbial community dynamics and ecosystem functioning to warming Garcia, Francisca C. Warfield, Ruth Yvon-Durocher, Gabriel European Research Council 2022 http://dx.doi.org/10.3389/fmicb.2022.906252 https://www.frontiersin.org/articles/10.3389/fmicb.2022.906252/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Microbiology volume 13 ISSN 1664-302X Microbiology (medical) Microbiology journal-article 2022 crfrontiers https://doi.org/10.3389/fmicb.2022.906252 2024-01-26T10:02:09Z Understanding the ecological processes that underpin the dynamics of community turnover in response to environmental change is critical to predicting how warming will influence ecosystem functioning. Here, we quantify the effect of changing temperature on community composition and ecosystem functioning via the action of ecological selection on population-level thermal traits. To achieve this, we use microbes isolated from a network of geothermal streams in Iceland where in situ temperatures span 8–38°C within a single catchment. We first quantified variability in thermal tolerance between taxa, and then assembled synthetic communities along a broad thermal gradient to explore how temperature-driven selection on thermal tolerance traits shaped the emergent community structures and functions. We found marked changes in community structure and composition with temperature, such that communities exposed to extreme temperatures (10, 35°C) had highly asymmetric biomass distributions and low taxonomic richness. Thermal optima were a good predictor of the presence and relative abundance of taxa in the high-temperature treatments. We also found that the evenness of the abundance distribution was related to ecosystem production, such that communities with more equitable abundance distribution were also the most productive. Our results highlight the utility of using a multi-level approach that links population-level traits with community structure and ecosystem functioning to better understand how ecological communities will respond to global warming. Article in Journal/Newspaper Iceland Frontiers (Publisher) Frontiers in Microbiology 13 |
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Microbiology (medical) Microbiology |
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Microbiology (medical) Microbiology Garcia, Francisca C. Warfield, Ruth Yvon-Durocher, Gabriel Thermal traits govern the response of microbial community dynamics and ecosystem functioning to warming |
topic_facet |
Microbiology (medical) Microbiology |
description |
Understanding the ecological processes that underpin the dynamics of community turnover in response to environmental change is critical to predicting how warming will influence ecosystem functioning. Here, we quantify the effect of changing temperature on community composition and ecosystem functioning via the action of ecological selection on population-level thermal traits. To achieve this, we use microbes isolated from a network of geothermal streams in Iceland where in situ temperatures span 8–38°C within a single catchment. We first quantified variability in thermal tolerance between taxa, and then assembled synthetic communities along a broad thermal gradient to explore how temperature-driven selection on thermal tolerance traits shaped the emergent community structures and functions. We found marked changes in community structure and composition with temperature, such that communities exposed to extreme temperatures (10, 35°C) had highly asymmetric biomass distributions and low taxonomic richness. Thermal optima were a good predictor of the presence and relative abundance of taxa in the high-temperature treatments. We also found that the evenness of the abundance distribution was related to ecosystem production, such that communities with more equitable abundance distribution were also the most productive. Our results highlight the utility of using a multi-level approach that links population-level traits with community structure and ecosystem functioning to better understand how ecological communities will respond to global warming. |
author2 |
European Research Council |
format |
Article in Journal/Newspaper |
author |
Garcia, Francisca C. Warfield, Ruth Yvon-Durocher, Gabriel |
author_facet |
Garcia, Francisca C. Warfield, Ruth Yvon-Durocher, Gabriel |
author_sort |
Garcia, Francisca C. |
title |
Thermal traits govern the response of microbial community dynamics and ecosystem functioning to warming |
title_short |
Thermal traits govern the response of microbial community dynamics and ecosystem functioning to warming |
title_full |
Thermal traits govern the response of microbial community dynamics and ecosystem functioning to warming |
title_fullStr |
Thermal traits govern the response of microbial community dynamics and ecosystem functioning to warming |
title_full_unstemmed |
Thermal traits govern the response of microbial community dynamics and ecosystem functioning to warming |
title_sort |
thermal traits govern the response of microbial community dynamics and ecosystem functioning to warming |
publisher |
Frontiers Media SA |
publishDate |
2022 |
url |
http://dx.doi.org/10.3389/fmicb.2022.906252 https://www.frontiersin.org/articles/10.3389/fmicb.2022.906252/full |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Frontiers in Microbiology volume 13 ISSN 1664-302X |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3389/fmicb.2022.906252 |
container_title |
Frontiers in Microbiology |
container_volume |
13 |
_version_ |
1790602073905037312 |