ArticlePLoS computational biology2020
Phenotypic delay in the evolution of bacterial antibiotic resistance: Mechanistic models and their implications.
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 9 papers.
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Who cites it
9 citing papers in PubMed.
- Simple birth-death-mutation models predict some-but not all-aspects of the experimental evolution of antibiotic resistance.PLoS computational biology · 2026Article
- Antimicrobial photodynamic therapy reprograms resistance by inducing sensitization in methicillin-resistant Staphylococcus aureus.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026Article
- Biocides as drivers of antibiotic resistance: A critical review of environmental implications and public health risks.Environmental science and ecotechnology · 2025Review
- Breaking barriers: we need a multidisciplinary approach to tackle cancer drug resistance.BJC reports · 2025Review
- Model-based inference of a dual role for HOPS in regulating guard cell vacuole fusion.In silico plants · 2024Article
- Model-based inference of a plant-specific dual role for HOPS in regulating guard cell vacuole fusion.bioRxiv : the preprint server for biology · 2023Article
- Whole genome analysis and antimicrobial resistance ofFrontiers in microbiology · 2023Article
- Precise measurement of the fitness effects of spontaneous mutations by droplet digital PCR in Burkholderia cenocepacia.Genetics · 2021Article
- Resist or perish: Fate of a microbial population subjected to a periodic presence of antimicrobial.PLoS computational biology · 2020Article
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Authors and funding
5 authors.
Funding
Abstract
Phenotypic delay-the time delay between genetic mutation and expression of the corresponding phenotype-is generally neglected in evolutionary models, yet recent work suggests that it may be more common than previously assumed. Here, we use computer simulations and theory to investigate the significance of phenotypic delay for the evolution of bacterial resistance to antibiotics. We consider three mechanisms which could potentially cause phenotypic delay: effective polyploidy, dilution of antibiotic-sensitive molecules and accumulation of resistance-enhancing molecules. We find that the accumulation of resistant molecules is relevant only within a narrow parameter range, but both the dilution of sensitive molecules and effective polyploidy can cause phenotypic delay over a wide range of parameters. We further investigate whether these mechanisms could affect population survival under drug treatment and thereby explain observed discrepancies in mutation rates estimated by Luria-Delbrück fluctuation tests. While the effective polyploidy mechanism does not affect population survival, the dilution of sensitive molecules leads both to decreased probability of survival under drug treatment and underestimation of mutation rates in fluctuation tests. The dilution mechanism also changes the shape of the Luria-Delbrück distribution of mutant numbers, and we show that this modified distribution provides an improved fit to previously published experimental data.
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