ArticleMolecular biology and evolution2020
Population Bottlenecks Strongly Influence the Evolutionary Trajectory to Fluoroquinolone Resistance in Escherichia coli.
Article in Molecular biology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- The Evolutionary Maintenance of Amino Acid Prototrophy in Escherichia coli.Genome biology and evolution · 2026Article
- Probing the limits of genetic recoding using multi-omics-guided evolution.Nature communications · 2026Article
- Integrated conjugative elements drive the formation of pandemic clones of Escherichia coli with hybrid chromosomes.Molecular biology and evolution · 2026Article
- Microbial interactions in facilitating antibiotic activity and resistance evolution.Applied and environmental microbiology · 2026Review
- Evolutionary trajectories determine feasibility of collateral sensitivity-based antibiotic treatment strategies in critical bacterial pathogens.Communications biology · 2025Article
- Phenotype-First Diagnostic Framework for Tracking Fluoroquinolone Resistance inDiagnostics (Basel, Switzerland) · 2025Article
- History shapes regulatory and evolutionary responses to tigecycline in two reference strains ofMicrobiology (Reading, England) · 2025Article
- Article
- History shapes regulatory and evolutionary responses to tigecycline in strains ofbioRxiv : the preprint server for biology · 2025Article
- Clinically relevant mutations in regulatory regions of metabolic genes facilitate early adaptation to ciprofloxacin in Escherichia coli.Nucleic acids research · 2024Article
- Effects of periodic bottlenecks on the dynamics of adaptive evolution in microbial populations.Microbiology (Reading, England) · 2024Article
- Within-plant genetic drift to control virus adaptation to host resistance genes.PLoS pathogens · 2024Article
- Synthetic genomes unveil the effects of synonymous recoding.bioRxiv : the preprint server for biology · 2024Article
- Mutation bias and adaptation in bacteria.Microbiology (Reading, England) · 2023Review
- Population demographic history and evolutionary rescue: Influence of a bottleneck event.Evolutionary applications · 2023Article
- Bottlenecks can constrain and channel evolutionary paths.Genetics · 2023Article
- A Selective Bottleneck During Host Entry Drives the Evolution of New Legume Symbionts.Molecular biology and evolution · 2023Article
- Pervasive Selection for Clinically Relevant Resistance and Media Adaptive Mutations at Very Low Antibiotic Concentrations.Molecular biology and evolution · 2023Article
- Low levels of tetracyclines select for a mutation that prevents the evolution of high-level resistance to tigecycline.PLoS biology · 2022Article
- Evolutionary History and Strength of Selection Determine the Rate of Antibiotic Resistance Adaptation.Molecular biology and evolution · 2022Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Experimental evolution is a powerful tool to study genetic trajectories to antibiotic resistance under selection. A confounding factor is that outcomes may be heavily influenced by the choice of experimental parameters. For practical purposes (minimizing culture volumes), most experimental evolution studies with bacteria use transmission bottleneck sizes of 5 × 106 cfu. We currently have a poor understanding of how the choice of transmission bottleneck size affects the accumulation of deleterious versus high-fitness mutations when resistance requires multiple mutations, and how this relates outcome to clinical resistance. We addressed this using experimental evolution of resistance to ciprofloxacin in Escherichia coli. Populations were passaged with three different transmission bottlenecks, including single cell (to maximize genetic drift) and bottlenecks spanning the reciprocal of the frequency of drug target mutations (108 and 1010). The 1010 bottlenecks selected overwhelmingly mutations in drug target genes, and the resulting genotypes corresponded closely to those found in resistant clinical isolates. In contrast, both the 108 and single-cell bottlenecks selected mutations in three different gene classes: 1) drug targets, 2) efflux pump repressors, and 3) transcription-translation genes, including many mutations with low fitness. Accordingly, bottlenecks smaller than the average nucleotide substitution rate significantly altered the experimental outcome away from genotypes observed in resistant clinical isolates. These data could be applied in designing experimental evolution studies to increase their predictive power and to explore the interplay between different environmental conditions, where transmission bottlenecks might vary, and resulting evolutionary trajectories.
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