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Guided by Microbes: Applying Community Coalescence Principles for Predictive Microbiome Engineering
Every seed germinating in soils, wastewater treatment, and stream confluence exemplify microbial community coalescence—the blending of previously isolated communities. Here, we present theoretical and experimental knowledge on how separated microbial communities mix, with particular focus on managed...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407356/ https://www.ncbi.nlm.nih.gov/pubmed/34402638 http://dx.doi.org/10.1128/mSystems.00538-21 |
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author | Rocca, Jennifer D. Muscarella, Mario E. Peralta, Ariane L. Izabel-Shen, Dandan Simonin, Marie |
author_facet | Rocca, Jennifer D. Muscarella, Mario E. Peralta, Ariane L. Izabel-Shen, Dandan Simonin, Marie |
author_sort | Rocca, Jennifer D. |
collection | PubMed |
description | Every seed germinating in soils, wastewater treatment, and stream confluence exemplify microbial community coalescence—the blending of previously isolated communities. Here, we present theoretical and experimental knowledge on how separated microbial communities mix, with particular focus on managed ecosystems. We adopt the community coalescence framework, which integrates metacommunity theory and meta-ecosystem dynamics, and highlight the prevalence of these coalescence events within microbial systems. Specifically, we (i) describe fundamental types of community coalescences using naturally occurring and managed examples, (ii) offer ways forward to leverage community coalescence in managed systems, and (iii) emphasize the importance of microbial ecological theory to achieving desired coalescence outcomes. Further, considering the massive dispersal events of microbiomes and their coalescences is pivotal to better predict microbial community dynamics and responses to disturbances. We conclude our piece by highlighting some challenges and unanswered question yet to be tackled. |
format | Online Article Text |
id | pubmed-8407356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-84073562021-09-09 Guided by Microbes: Applying Community Coalescence Principles for Predictive Microbiome Engineering Rocca, Jennifer D. Muscarella, Mario E. Peralta, Ariane L. Izabel-Shen, Dandan Simonin, Marie mSystems Perspective Every seed germinating in soils, wastewater treatment, and stream confluence exemplify microbial community coalescence—the blending of previously isolated communities. Here, we present theoretical and experimental knowledge on how separated microbial communities mix, with particular focus on managed ecosystems. We adopt the community coalescence framework, which integrates metacommunity theory and meta-ecosystem dynamics, and highlight the prevalence of these coalescence events within microbial systems. Specifically, we (i) describe fundamental types of community coalescences using naturally occurring and managed examples, (ii) offer ways forward to leverage community coalescence in managed systems, and (iii) emphasize the importance of microbial ecological theory to achieving desired coalescence outcomes. Further, considering the massive dispersal events of microbiomes and their coalescences is pivotal to better predict microbial community dynamics and responses to disturbances. We conclude our piece by highlighting some challenges and unanswered question yet to be tackled. American Society for Microbiology 2021-08-17 /pmc/articles/PMC8407356/ /pubmed/34402638 http://dx.doi.org/10.1128/mSystems.00538-21 Text en Copyright © 2021 Rocca 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 | Perspective Rocca, Jennifer D. Muscarella, Mario E. Peralta, Ariane L. Izabel-Shen, Dandan Simonin, Marie Guided by Microbes: Applying Community Coalescence Principles for Predictive Microbiome Engineering |
title | Guided by Microbes: Applying Community Coalescence Principles for Predictive Microbiome Engineering |
title_full | Guided by Microbes: Applying Community Coalescence Principles for Predictive Microbiome Engineering |
title_fullStr | Guided by Microbes: Applying Community Coalescence Principles for Predictive Microbiome Engineering |
title_full_unstemmed | Guided by Microbes: Applying Community Coalescence Principles for Predictive Microbiome Engineering |
title_short | Guided by Microbes: Applying Community Coalescence Principles for Predictive Microbiome Engineering |
title_sort | guided by microbes: applying community coalescence principles for predictive microbiome engineering |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8407356/ https://www.ncbi.nlm.nih.gov/pubmed/34402638 http://dx.doi.org/10.1128/mSystems.00538-21 |
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