Matches in SemOpenAlex for { <https://semopenalex.org/work/W3197330237> ?p ?o ?g. }
- W3197330237 abstract "Bacteria inhibit and kill one another with a diverse array of compounds, including bacteriocins and antibiotics. These attacks are highly regulated, but we lack a clear understanding of the evolutionary logic underlying this regulation. Here, we combine a detailed dynamic model of bacterial competition with evolutionary game theory to study the rules of bacterial warfare. We model a large range of possible combat strategies based upon the molecular biology of bacterial regulatory networks. Our model predicts that regulated strategies, which use quorum sensing or stress responses to regulate toxin production, will readily evolve as they outcompete constitutive toxin production. Amongst regulated strategies, we show that a particularly successful strategy is to upregulate toxin production in response to an incoming competitor's toxin, which can be achieved via stress responses that detect cell damage (competition sensing). Mirroring classical game theory, our work suggests a fundamental advantage to reciprocation. However, in contrast to classical results, we argue that reciprocation in bacteria serves not to promote peaceful outcomes but to enable efficient and effective attacks." @default.
- W3197330237 created "2021-09-13" @default.
- W3197330237 creator A5008010734 @default.
- W3197330237 creator A5008665805 @default.
- W3197330237 creator A5019907250 @default.
- W3197330237 creator A5023116657 @default.
- W3197330237 creator A5056511235 @default.
- W3197330237 date "2021-09-07" @default.
- W3197330237 modified "2023-10-16" @default.
- W3197330237 title "The evolution of strategy in bacterial warfare via the regulation of bacteriocins and antibiotics" @default.
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