Guided by Microbes: Applying Community Coalescence Principles for Predictive Microbiome Engineering.

biostimulants community coalescence community inoculants managed ecosystems microbiome engineering

Journal

mSystems
ISSN: 2379-5077
Titre abrégé: mSystems
Pays: United States
ID NLM: 101680636

Informations de publication

Date de publication:
31 Aug 2021
Historique:
pubmed: 18 8 2021
medline: 18 8 2021
entrez: 17 8 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 34402638
doi: 10.1128/mSystems.00538-21
pmc: PMC8407356
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e0053821

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Auteurs

Jennifer D Rocca (JD)

Department of Plant and Microbial Biology, North Carolina State University, Raleigh, North Carolina, USA.

Mario E Muscarella (ME)

Institute of Arctic Biology, Department of Biology and Wildlife, University of Alaska Fairbanks, Fairbanks, Alaska, USA.

Ariane L Peralta (AL)

Department of Biology, East Carolina Universitygrid.255364.3, Greenville, North Carolina, USA.

Dandan Izabel-Shen (D)

Department of Ecology, Environment, and Plant Sciences, Stockholm University, Stockholm, Sweden.

Marie Simonin (M)

University of Angers, Institut Agro, INRAE, IRHS, SFR QUASAV, Angers, France.

Classifications MeSH