ArticleProceedings of the National Academy of Sciences of the United States of America2020
Stochastic bacterial population dynamics restrict the establishment of antibiotic resistance from single cells.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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Who cites it
49 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
- Contributions of intra- and extracellular antibiotic degradation to collective [Formula: see text]-lactam survival.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Heterogeneity in microbial antibiotic responses: genetic basis and within-host evolution.Trends in genetics : TIG · 2026Review
- Beyond resistance and tolerance: rethinking evolutionary responses to antibiotics from the perspective of individual bacterial cells.Nature communications · 2026Review
- Multiplexed, rapid phenotypic antibiotic susceptibility testing based on angle-resolved light scattering imaging of microfluidic droplets.Journal of advanced research · 2026Article
- Non-ergodicity in ecology and evolution.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- High-resolution, high-throughput detection of hidden antibiotic resistance with the dilution-and-delay (DnD) susceptibility assay.Nature communications · 2026Article
- Slow spatial migration can help eradicate cooperative antimicrobial resistance in time-varying environments.PLoS computational biology · 2026Article
- 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
- Persistent glucose consumption under antibiotic treatment protects bacterial community.Nature chemical biology · 2025Article
- Habitat fragmentation enhances microbial collective defence.Journal of the Royal Society, Interface · 2025Article
- Multiplicity of type 6 secretion system toxins limits the evolution of resistance.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Strong segregation promotes self-destructive cooperation.The ISME journal · 2025Article
- Unlocking the potential of experimental evolution to study drug resistance in pathogenic fungi.npj antimicrobials and resistance · 2024Review
- Ecological and evolutionary mechanisms driving within-patient emergence of antimicrobial resistance.Nature reviews. Microbiology · 2024Review
- Mating Assay: Plating Below a Cell Density Threshold is Required for Unbiased Estimation of Plasmid Conjugation Frequency of RP4 Transfer Between E. coli Strains.Microbial ecology · 2024Article
- Biological Synthesis of Silver Nanoparticles from Lavandula mairei Humbert: Antibacterial and Antioxidant Activities.Current microbiology · 2024Article
- The effect of antibiotic selection on collateral effects and evolvability of uropathogenicnpj antimicrobials and resistance · 2024Article
- Cross-feeding affects the target of resistance evolution to an antifungal drug.PLoS genetics · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
A better understanding of how antibiotic exposure impacts the evolution of resistance in bacterial populations is crucial for designing more sustainable treatment strategies. The conventional approach to this question is to measure the range of concentrations over which resistant strain(s) are selectively favored over a sensitive strain. Here, we instead investigate how antibiotic concentration impacts the initial establishment of resistance from single cells, mimicking the clonal expansion of a resistant lineage following mutation or horizontal gene transfer. Using two
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