ArticleMolecular biology and evolution2022
Evolutionary History and Strength of Selection Determine the Rate of Antibiotic Resistance Adaptation.
Article in Molecular biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 30 citations in OpenAlex.
- Bacterial adaptation to essential oils and their main compounds in food systems: mechanisms related to antibacterial resistance.NPJ science of food · 2026Review
- Bacterial Persistence Modulates the Speed, Magnitude, and Onset of Antibiotic Resistance Evolution.Molecular biology and evolution · 2026Article
- Article
- Evolutionary drivers of divergent collateral sensitivity responses during antibiotic therapy.Nature ecology & evolution · 2026Review
- Resisting the gallium "Trojan horse": Experimental evolutionary insights into microbial resistance.Gene & protein in disease · 2026Article
- Considering Metabolic Context in Enzyme Evolution and Design.Biochemistry · 2025Review
- History shapes regulatory and evolutionary responses to tigecycline in two reference strains ofMicrobiology (Reading, England) · 2025Article
- Multiple Stressors in the Anthropocene: Urban Evolutionary History Modifies Sensitivity to the Toxic Effects of Crude Oil Exposure in Killifish.Evolutionary applications · 2025Article
- Meeting Report on the Symposium "Evolutionary Applications" at the 3rd Joint Congress on Evolutionary Biology.Evolutionary applications · 2025Article
- Multiple stressors in the Anthropocene: Urban evolutionary history modifies sensitivity to the toxic effects of crude oil exposure in killifish.bioRxiv : the preprint server for biology · 2025Article
- History shapes regulatory and evolutionary responses to tigecycline in strains ofbioRxiv : the preprint server for biology · 2025Article
- Genome and transcriptomic analysis of the adaptation ofComputational and structural biotechnology journal · 2024Review
- In Vitro Resistance-Predicting Studies and In Vitro Resistance-Related Parameters-A Hit-to-Lead Perspective.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Fluctuating selection facilitates the discovery of broadly effective but difficult to reach adaptive outcomes in yeast.Evolution letters · 2024Article
- Mapping the scarcity of data on antibiotics in natural and engineered water environments across India.Frontiers in antibiotics · 2024Review
- Eco-evolutionary dynamics of experimentalMicrobiology (Reading, England) · 2023Article
- Electroacoustic Biosensor Systems for Evaluating Antibiotic Action on Microbial Cells.Sensors (Basel, Switzerland) · 2023Review
- Polygenic adaptation to overnutrition reveals a role for cholinergic signaling in longevity.bioRxiv : the preprint server for biology · 2023Article
- Identifying Targets of Selection in Laboratory Evolution Experiments.Journal of molecular evolution · 2023Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacterial adaptation to stressful environments often produces evolutionary constraints whereby increases in resistance are associated with reduced fitness in a different environment. The exploitation of this resistance-cost trade-off has been proposed as the basis of rational antimicrobial treatment strategies designed to limit the evolution of drug resistance in bacterial pathogens. Recent theoretical, laboratory, and clinical studies have shown that fluctuating selection can maintain drug efficacy and even restore drug susceptibility, but can also increase the rate of adaptation and promote cross-resistance to other antibiotics. In this paper, we combine mathematical modeling, experimental evolution, and whole-genome sequencing to follow evolutionary trajectories towards β-lactam resistance under fluctuating selective conditions. Our experimental model system consists of eight populations of Escherichia coli K12 evolving in parallel to a serial dilution protocol designed to dynamically control the strength of selection for resistance. We implemented adaptive ramps with mild and strong selection, resulting in evolved populations with similar levels of resistance, but with different evolutionary dynamics and diverging genotypic profiles. We found that mutations that emerged under strong selection are unstable in the absence of selection, in contrast to resistance mutations previously selected in the mild selection regime that were stably maintained in drug-free environments and positively selected for when antibiotics were reintroduced. Altogether, our population dynamics model and the phenotypic and genomic analysis of the evolved populations show that the rate of resistance adaptation is contingent upon the strength of selection, but also on evolutionary constraints imposed by prior drug exposures.
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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.