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...

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Published in:mSystems Vol. 6; no. 4; p. e0053821
Main Authors: Rocca, Jennifer D, Muscarella, Mario E, Peralta, Ariane L, Izabel-Shen, Dandan, Simonin, Marie
Format: Journal Article
Language:English
Published: United States American Society for Microbiology 31-08-2021
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Summary: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.
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PMCID: PMC8407356
Citation Rocca JD, Muscarella ME, Peralta AL, Izabel-Shen D, Simonin M. 2021. Guided by microbes: applying community coalescence principles for predictive microbiome engineering. mSystems 6:e00538-21. https://doi.org/10.1128/mSystems.00538-21.
ISSN:2379-5077
2379-5077
DOI:10.1128/mSystems.00538-21