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Encounter rates prime interactions between microorganisms
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 rat...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912013/ https://www.ncbi.nlm.nih.gov/pubmed/36789236 http://dx.doi.org/10.1098/rsfs.2022.0059 |
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author | Słomka, Jonasz Alcolombri, Uria Carrara, Francesco Foffi, Riccardo Peaudecerf, François J. Zbinden, Matti Stocker, Roman |
author_facet | Słomka, Jonasz Alcolombri, Uria Carrara, Francesco Foffi, Riccardo Peaudecerf, François J. Zbinden, Matti Stocker, Roman |
author_sort | Słomka, Jonasz |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9912013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-99120132023-02-13 Encounter rates prime interactions between microorganisms Słomka, Jonasz Alcolombri, Uria Carrara, Francesco Foffi, Riccardo Peaudecerf, François J. Zbinden, Matti Stocker, Roman Interface Focus Articles 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. The Royal Society 2023-02-10 /pmc/articles/PMC9912013/ /pubmed/36789236 http://dx.doi.org/10.1098/rsfs.2022.0059 Text en © 2023 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Articles Słomka, Jonasz Alcolombri, Uria Carrara, Francesco Foffi, Riccardo Peaudecerf, François J. Zbinden, Matti Stocker, Roman Encounter rates prime interactions between microorganisms |
title | Encounter rates prime interactions between microorganisms |
title_full | Encounter rates prime interactions between microorganisms |
title_fullStr | Encounter rates prime interactions between microorganisms |
title_full_unstemmed | Encounter rates prime interactions between microorganisms |
title_short | Encounter rates prime interactions between microorganisms |
title_sort | encounter rates prime interactions between microorganisms |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912013/ https://www.ncbi.nlm.nih.gov/pubmed/36789236 http://dx.doi.org/10.1098/rsfs.2022.0059 |
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