ArticlePLoS computational biology2020
Resist or perish: Fate of a microbial population subjected to a periodic presence of antimicrobial.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 61 citations in OpenAlex.
- Mapping the landscape of mathematical models for antimicrobial resistance: a scoping review.BMC public health · 2026Article
- Slow spatial migration can help eradicate cooperative antimicrobial resistance in time-varying environments.PLoS computational biology · 2026Article
- Article
- The role of environmental stress in promoting mutators through evolutionary rescue: quantitative predictions.Genetics · 2025Article
- Lineage-dependent variations in single-cell antibiotic susceptibility reveal the selective inheritance of phenotypic resistance in bacteria.Nature communications · 2025Article
- Spatial structure facilitates evolutionary rescue by drug resistance.PLoS computational biology · 2025Article
- Comparative bioavailability study of two oral formulations of amoxicillin-clavulanic acid in healthy dogs.BMC veterinary research · 2025Article
- Impacts of limits to adaptation on population and community persistence in a changing environment.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- An Overview of the Recent Advances in Antimicrobial Resistance.Microorganisms · 2024Review
- Mutant fate in spatially structured populations on graphs: Connecting models to experiments.PLoS computational biology · 2024Article
- The many dimensions of combination therapy: How to combine antibiotics to limit resistance evolution.Evolutionary applications · 2024Article
- Frequent asymmetric migrations suppress natural selection in spatially structured populations.PNAS nexus · 2023Article
- Coupled environmental and demographic fluctuations shape the evolution of cooperative antimicrobial resistance.Journal of the Royal Society, Interface · 2023Article
- A stochastic analysis of the interplay between antibiotic dose, mode of action, and bacterial competition in the evolution of antibiotic resistance.PLoS computational biology · 2023Article
- Evolutionary rescue in a fluctuating environment: periodic versus quasi-periodic environmental changes.Proceedings. Biological sciences · 2023Article
- Controlling the Mean Time to Extinction in Populations of Bacteria.Entropy (Basel, Switzerland) · 2023Article
- Modulation of antibiotic effects on microbial communities by resource competition.Nature communications · 2023Article
- A novel approach for combining the metagenome, metaresistome, metareplicome and causal inference to determine the microbes and their antibiotic resistance gene repertoire that contribute to dysbiosis.Microbial genomics · 2022Article
- Evolution in fluctuating environments: A generic modular approach.Evolution; international journal of organic evolution · 2022Article
- Reversion is most likely under high mutation supply when compensatory mutations do not fully restore fitness costs.G3 (Bethesda, Md.) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The evolution of antimicrobial resistance can be strongly affected by variations of antimicrobial concentration. Here, we study the impact of periodic alternations of absence and presence of antimicrobial on resistance evolution in a microbial population, using a stochastic model that includes variations of both population composition and size, and fully incorporates stochastic population extinctions. We show that fast alternations of presence and absence of antimicrobial are inefficient to eradicate the microbial population and strongly favor the establishment of resistance, unless the antimicrobial increases enough the death rate. We further demonstrate that if the period of alternations is longer than a threshold value, the microbial population goes extinct upon the first addition of antimicrobial, if it is not rescued by resistance. We express the probability that the population is eradicated upon the first addition of antimicrobial, assuming rare mutations. Rescue by resistance can happen either if resistant mutants preexist, or if they appear after antimicrobial is added to the environment. Importantly, the latter case is fully prevented by perfect biostatic antimicrobials that completely stop division of sensitive microorganisms. By contrast, we show that the parameter regime where treatment is efficient is larger for biocidal drugs than for biostatic drugs. This sheds light on the respective merits of different antimicrobial modes of action.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.