Eco-evolutionary dynamics in microbial interactions.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
03 06 2023
Historique:
received: 19 01 2023
accepted: 31 05 2023
medline: 5 6 2023
pubmed: 4 6 2023
entrez: 3 6 2023
Statut: epublish

Résumé

Microbes play an important role in ecosystem functioning and human health. A key feature of microbial interactions is a feedback system in which they modify the physical environment and react to it. Recently, it has been shown that the ecological consequences of microbial interactions driven by the modification of their surrounding pH environment can be predicted from the effects of their metabolic properties on pH. The optimum environmental pH for a given species can adaptively change in response to the changes in environmental pH that are induced by them. However, the mechanisms underlying the effect of these adaptive changes in pH niche on microbial coexistence are yet to be explored. In this study, I theoretically demonstrate that ecological theory can only accurately predict the qualitative ecological consequences if the growth and pH change rates are the same for each species, which suggests that adaptive pH niche changes can generally make ecological consequence predictions based on ecological theory difficult.

Identifiants

pubmed: 37270654
doi: 10.1038/s41598-023-36221-1
pii: 10.1038/s41598-023-36221-1
pmc: PMC10239498
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

9042

Informations de copyright

© 2023. The Author(s).

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Auteurs

Akihiko Mougi (A)

Institute of Agricultural and Life Sciences, Academic Assembly, Shimane University, 1060 Nishikawatsu-Cho, Matsue, 690-8504, Japan. amougi@gmail.com.

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Classifications MeSH