ArticleJournal of the Royal Society, Interface2023
Coupled environmental and demographic fluctuations shape the evolution of cooperative antimicrobial resistance.
Article in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Environment heterogeneity creates fast amplifiers of natural selection in graph-structured populations.Nature communications · 2026Article
- Slow spatial migration can help eradicate cooperative antimicrobial resistance in time-varying environments.PLoS computational biology · 2026Article
- Eco-evolutionary dynamics and environmental detoxification jointly shape bacterial community response to antibiotic perturbation.The ISME journal · 2026Article
- Cooperative antibiotic resistance in bacteria: beyond biofilms.Frontiers in microbiology · 2026Review
- Spatial structure facilitates evolutionary rescue by drug resistance.PLoS computational biology · 2025Article
- Food Webs and Feedbacks: The Untold Ecological Relevance of Antimicrobial Resistance as Seen in Harmful Algal Blooms.Microorganisms · 2024Review
- Coupled environmental and demographic fluctuations shape the evolution of cooperative antimicrobial resistance.Journal of the Royal Society, Interface · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a pressing need to better understand how microbial populations respond to antimicrobial drugs, and to find mechanisms to possibly eradicate antimicrobial-resistant cells. The inactivation of antimicrobials by resistant microbes can often be viewed as a cooperative behaviour leading to the coexistence of resistant and sensitive cells in large populations and static environments. This picture is, however, greatly altered by the fluctuations arising in volatile environments, in which microbial communities commonly evolve. Here, we study the eco-evolutionary dynamics of a population consisting of an antimicrobial-resistant strain and microbes sensitive to antimicrobial drugs in a time-fluctuating environment, modelled by a carrying capacity randomly switching between states of abundance and scarcity. We assume that antimicrobial resistance (AMR) is a shared public good when the number of resistant cells exceeds a certain threshold. Eco-evolutionary dynamics is thus characterised by demographic noise (birth and death events) coupled to environmental fluctuations which can cause population bottlenecks. By combining analytical and computational means, we determine the environmental conditions for the long-lived coexistence and fixation of both strains, and characterise a
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Registered trials
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