ArticleCurrent biology : CB2016
Complex Interplay of Physiology and Selection in the Emergence of Antibiotic Resistance.
Article in Current biology : CB, 2016. 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.
- Phenotypic convergence and collateral susceptibility development in Pseudomonas aeruginosa under antibiotic exposure in ICU patients.npj antimicrobials and resistance · 2026Article
- Antimicrobial peptides and proteins as rheostats of intestinal homeostasis and immunity.Current opinion in immunology · 2026Review
- Dynamical memory underlies prolonged plasmid persistence after transient antibiotic treatment.bioRxiv : the preprint server for biology · 2025Article
- Scaling of stochastic growth and division dynamics: A comparative study of individual rod-shaped cells in the Mother Machine and SChemostat platforms.Molecular biology of the cell · 2024Article
- Evolutionary rescue in a fluctuating environment: periodic versus quasi-periodic environmental changes.Proceedings. Biological sciences · 2023Article
- Impact of crowding on the diversity of expanding populations.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Fluctuating Environments Maintain Genetic Diversity through Neutral Fitness Effects and Balancing Selection.Molecular biology and evolution · 2021Article
- Roadmap on biology in time varying environments.Physical biology · 2021Review
- Using ecological coexistence theory to understand antibiotic resistance and microbial competition.Nature ecology & evolution · 2021Review
- Article
- Phenotypic delay in the evolution of bacterial antibiotic resistance: Mechanistic models and their implications.PLoS computational biology · 2020Article
- Resist or perish: Fate of a microbial population subjected to a periodic presence of antimicrobial.PLoS computational biology · 2020Article
- Evolutionary ecology meets the antibiotic crisis: Can we control pathogen adaptation through sequential therapy?Evolution, medicine, and public health · 2019Review
- Distribution of Transferable Antibiotic Resistance Genes in Laboratory-Reared Edible Mealworms (Frontiers in microbiology · 2018Article
- The impact of bottlenecks on microbial survival, adaptation, and phenotypic switching in host-pathogen interactions.Evolution; international journal of organic evolution · 2017Article
- Predicting the dynamics of bacterial growth inhibition by ribosome-targeting antibiotics.Physical biology · 2017Article
- Exploiting ecology in drug pulse sequences in favour of population reduction.PLoS computational biology · 2017Article
- Taking chances and making mistakes: non-genetic phenotypic heterogeneity and its consequences for surviving in dynamic environments.Journal of the Royal Society, Interface · 2017Review
- Negative frequency-dependent interactions can underlie phenotypic heterogeneity in a clonal microbial population.Molecular systems biology · 2016Article
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2 authors.
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Abstract
Emergence of antibiotic resistance, an evolutionary process of major importance for human health [1], often occurs under changing levels of antibiotics. Selective sweeps, in which resistant cells become dominant in the population, are a critical step in this process [2]. While resistance emergence has been studied in laboratory experiments [3-8], the full progression of selective sweeps under fluctuating stress, from stochastic events in single cells to fixation in populations, has not been characterized. Here, we study fluctuating selection using Escherichia coli populations engineered with a stochastic switch controlling tetracycline resistance. Using microfluidics and live-cell imaging, we treat multiple E. coli populations with the same total amount of tetracycline but administered in different temporal patterns. We find that populations exposed to either short or long antibiotic pulses are likely to develop resistance through selective sweeps, whereas intermediate pulses allow higher growth rates but suppress selective sweeps. On the basis of single-cell measurements and a dynamic growth model, we identify the major determinants of population growth and show that both physiological memory and environmental durations can strongly modulate the emergence of resistance. Our detailed quantification in a model synthetic system provides key lessons on the interaction between single-cell physiology and selection that should inform the design of treatment regimens [9-12] and the analysis of phenotypically diverse populations adapting under fluctuating selection [13-17].
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