Encounter rates prime interactions between microorganisms.

encounter kernels encounter rates microbial interactions

Journal

Interface focus
ISSN: 2042-8898
Titre abrégé: Interface Focus
Pays: England
ID NLM: 101531990

Informations de publication

Date de publication:
06 Apr 2023
Historique:
received: 30 09 2022
accepted: 03 01 2023
entrez: 15 2 2023
pubmed: 16 2 2023
medline: 16 2 2023
Statut: epublish

Résumé

Properties of microbial communities emerge from the interactions between microorganisms and between microorganisms and their environment. At the scale of the organisms, microbial interactions are multi-step processes that are initiated by cell-cell or cell-resource encounters. Quantification and rational design of microbial interactions thus require quantification of encounter rates. Encounter rates can often be quantified through encounter kernels-mathematical formulae that capture the dependence of encounter rates on cell phenotypes, such as cell size, shape, density or motility, and environmental conditions, such as turbulence intensity or viscosity. While encounter kernels have been studied for over a century, they are often not sufficiently considered in descriptions of microbial populations. Furthermore, formulae for kernels are known only in a small number of canonical encounter scenarios. Yet, encounter kernels can guide experimental efforts to control microbial interactions by elucidating how encounter rates depend on key phenotypic and environmental variables. Encounter kernels also provide physically grounded estimates for parameters that are used in ecological models of microbial populations. We illustrate this encounter-oriented perspective on microbial interactions by reviewing traditional and recently identified kernels describing encounters between microorganisms and between microorganisms and resources in aquatic systems.

Identifiants

pubmed: 36789236
doi: 10.1098/rsfs.2022.0059
pii: rsfs20220059
pmc: PMC9912013
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

20220059

Informations de copyright

© 2023 The Authors.

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Auteurs

Jonasz Słomka (J)

Department of Civil, Environmental and Geomatic Engineering, Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland.

Uria Alcolombri (U)

Department of Civil, Environmental and Geomatic Engineering, Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland.

Francesco Carrara (F)

Department of Civil, Environmental and Geomatic Engineering, Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland.

Riccardo Foffi (R)

Department of Civil, Environmental and Geomatic Engineering, Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland.

François J Peaudecerf (FJ)

Department of Civil, Environmental and Geomatic Engineering, Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland.

Matti Zbinden (M)

Department of Civil, Environmental and Geomatic Engineering, Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland.

Roman Stocker (R)

Department of Civil, Environmental and Geomatic Engineering, Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland.

Classifications MeSH