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Linking Microbial Community Structure to Trait Distributions and Functions Using Salinity as an Environmental Filter
The structure and function of microbial communities vary along environmental gradients; however, interlinking the two has been challenging. In this study, salinity was used as an environmental filter to study how it could shape trait distributions, community structures, and the resulting functions o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6650560/ https://www.ncbi.nlm.nih.gov/pubmed/31337729 http://dx.doi.org/10.1128/mBio.01607-19 |
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author | Rath, Kristin M. Maheshwari, Arpita Rousk, Johannes |
author_facet | Rath, Kristin M. Maheshwari, Arpita Rousk, Johannes |
author_sort | Rath, Kristin M. |
collection | PubMed |
description | The structure and function of microbial communities vary along environmental gradients; however, interlinking the two has been challenging. In this study, salinity was used as an environmental filter to study how it could shape trait distributions, community structures, and the resulting functions of soil microbes. The environmental filter was applied by salinizing nonsaline soil (0 to 22 mg NaCl g(−1)). Our targeted community trait distribution (salt tolerance) was determined with dose-response relationships between bacterial growth and salinity. The bacterial community structure responses were resolved with Illumina 16S rRNA gene amplicon sequencing, and the microbial functions determined were respiration and bacterial and fungal growth. Salt exposure quickly resulted in filtered trait distributions, and stronger filters resulted in larger shifts. The filtered trait distributions correlated well with community composition differences, suggesting that trait distribution shifts were driven at least partly by species turnover. While salt exposure decreased respiration, microbial growth responses appeared to be characterized by competitive interactions. Fungal growth was highest when bacterial growth was inhibited by the highest salinity, and it was lowest when the bacterial growth rate peaked at intermediate salt levels. These findings corroborated a higher potential for fungal salt tolerance than bacterial salt tolerance for communities derived from a nonsaline soil. In conclusion, by using salt as an environmental filter, we could interlink the targeted trait distribution with both the community structure and resulting functions of soil microbes. |
format | Online Article Text |
id | pubmed-6650560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-66505602019-08-06 Linking Microbial Community Structure to Trait Distributions and Functions Using Salinity as an Environmental Filter Rath, Kristin M. Maheshwari, Arpita Rousk, Johannes mBio Research Article The structure and function of microbial communities vary along environmental gradients; however, interlinking the two has been challenging. In this study, salinity was used as an environmental filter to study how it could shape trait distributions, community structures, and the resulting functions of soil microbes. The environmental filter was applied by salinizing nonsaline soil (0 to 22 mg NaCl g(−1)). Our targeted community trait distribution (salt tolerance) was determined with dose-response relationships between bacterial growth and salinity. The bacterial community structure responses were resolved with Illumina 16S rRNA gene amplicon sequencing, and the microbial functions determined were respiration and bacterial and fungal growth. Salt exposure quickly resulted in filtered trait distributions, and stronger filters resulted in larger shifts. The filtered trait distributions correlated well with community composition differences, suggesting that trait distribution shifts were driven at least partly by species turnover. While salt exposure decreased respiration, microbial growth responses appeared to be characterized by competitive interactions. Fungal growth was highest when bacterial growth was inhibited by the highest salinity, and it was lowest when the bacterial growth rate peaked at intermediate salt levels. These findings corroborated a higher potential for fungal salt tolerance than bacterial salt tolerance for communities derived from a nonsaline soil. In conclusion, by using salt as an environmental filter, we could interlink the targeted trait distribution with both the community structure and resulting functions of soil microbes. American Society for Microbiology 2019-07-23 /pmc/articles/PMC6650560/ /pubmed/31337729 http://dx.doi.org/10.1128/mBio.01607-19 Text en Copyright © 2019 Rath et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Rath, Kristin M. Maheshwari, Arpita Rousk, Johannes Linking Microbial Community Structure to Trait Distributions and Functions Using Salinity as an Environmental Filter |
title | Linking Microbial Community Structure to Trait Distributions and Functions Using Salinity as an Environmental Filter |
title_full | Linking Microbial Community Structure to Trait Distributions and Functions Using Salinity as an Environmental Filter |
title_fullStr | Linking Microbial Community Structure to Trait Distributions and Functions Using Salinity as an Environmental Filter |
title_full_unstemmed | Linking Microbial Community Structure to Trait Distributions and Functions Using Salinity as an Environmental Filter |
title_short | Linking Microbial Community Structure to Trait Distributions and Functions Using Salinity as an Environmental Filter |
title_sort | linking microbial community structure to trait distributions and functions using salinity as an environmental filter |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6650560/ https://www.ncbi.nlm.nih.gov/pubmed/31337729 http://dx.doi.org/10.1128/mBio.01607-19 |
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