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Inhibitory interaction networks among coevolved Streptomyces populations from prairie soils
Soil microbes live within highly complex communities, where community composition, function, and evolution are the product of diverse interactions among community members. Analysis of the complex networks of interactions within communities has the potential to shed light on community stability, func...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822729/ https://www.ncbi.nlm.nih.gov/pubmed/31671139 http://dx.doi.org/10.1371/journal.pone.0223779 |
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author | Schlatter, Daniel C. Song, Zewei Vaz-Jauri, Patricia Kinkel, Linda L. |
author_facet | Schlatter, Daniel C. Song, Zewei Vaz-Jauri, Patricia Kinkel, Linda L. |
author_sort | Schlatter, Daniel C. |
collection | PubMed |
description | Soil microbes live within highly complex communities, where community composition, function, and evolution are the product of diverse interactions among community members. Analysis of the complex networks of interactions within communities has the potential to shed light on community stability, functioning, and evolution. However, we have little understanding of the variation in interaction networks among coevolved soil populations. We evaluated networks of antibiotic inhibitory interactions among sympatric Streptomyces communities from prairie soil. Inhibition networks differed significantly in key network characteristics from expectations under null models, largely reflecting variation among Streptomyces in the number of sympatric populations that they inhibited. Moreover, networks of inhibitory interactions within Streptomyces communities differed significantly from each other, suggesting unique network structures among soil communities from different locations. Analyses of tri-partite interactions (triads) showed that some triads were significantly over- or under- represented, and that communities differed in ‘preferred’ triads. These results suggest that local processes generate distinct structures among sympatric Streptomyces inhibition networks in soil. Understanding the properties of microbial interaction networks that generate competitive and functional capacities of soil communities will shed light on the ecological and coevolutionary history of sympatric populations, and provide a foundation for more effective management of inhibitory capacities of soil microbial communities. |
format | Online Article Text |
id | pubmed-6822729 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-68227292019-11-08 Inhibitory interaction networks among coevolved Streptomyces populations from prairie soils Schlatter, Daniel C. Song, Zewei Vaz-Jauri, Patricia Kinkel, Linda L. PLoS One Research Article Soil microbes live within highly complex communities, where community composition, function, and evolution are the product of diverse interactions among community members. Analysis of the complex networks of interactions within communities has the potential to shed light on community stability, functioning, and evolution. However, we have little understanding of the variation in interaction networks among coevolved soil populations. We evaluated networks of antibiotic inhibitory interactions among sympatric Streptomyces communities from prairie soil. Inhibition networks differed significantly in key network characteristics from expectations under null models, largely reflecting variation among Streptomyces in the number of sympatric populations that they inhibited. Moreover, networks of inhibitory interactions within Streptomyces communities differed significantly from each other, suggesting unique network structures among soil communities from different locations. Analyses of tri-partite interactions (triads) showed that some triads were significantly over- or under- represented, and that communities differed in ‘preferred’ triads. These results suggest that local processes generate distinct structures among sympatric Streptomyces inhibition networks in soil. Understanding the properties of microbial interaction networks that generate competitive and functional capacities of soil communities will shed light on the ecological and coevolutionary history of sympatric populations, and provide a foundation for more effective management of inhibitory capacities of soil microbial communities. Public Library of Science 2019-10-31 /pmc/articles/PMC6822729/ /pubmed/31671139 http://dx.doi.org/10.1371/journal.pone.0223779 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Schlatter, Daniel C. Song, Zewei Vaz-Jauri, Patricia Kinkel, Linda L. Inhibitory interaction networks among coevolved Streptomyces populations from prairie soils |
title | Inhibitory interaction networks among coevolved Streptomyces populations from prairie soils |
title_full | Inhibitory interaction networks among coevolved Streptomyces populations from prairie soils |
title_fullStr | Inhibitory interaction networks among coevolved Streptomyces populations from prairie soils |
title_full_unstemmed | Inhibitory interaction networks among coevolved Streptomyces populations from prairie soils |
title_short | Inhibitory interaction networks among coevolved Streptomyces populations from prairie soils |
title_sort | inhibitory interaction networks among coevolved streptomyces populations from prairie soils |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822729/ https://www.ncbi.nlm.nih.gov/pubmed/31671139 http://dx.doi.org/10.1371/journal.pone.0223779 |
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