ArticleMolecular biology and evolution2023
Pervasive Selection for Clinically Relevant Resistance and Media Adaptive Mutations at Very Low Antibiotic Concentrations.
Article in Molecular biology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 22 citations in OpenAlex.
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- Cost of Altered Translation Accuracy Shapes Adaptation to Antibiotics in E. coli.Molecular biology and evolution · 2025Article
- "Acceptable" concentrations of enrofloxacin in food lead to reduced enrofloxacin susceptibility in a mouse model of gastrointestinalMicrobiology spectrum · 2025Article
- High-throughput method characterizes hundreds of previously unknown antibiotic resistance mutations.Nature communications · 2025Article
- Interspecies interaction alters the trajectory of antibiotic resistance evolution by amplifying negative fitness epistasis.The ISME journal · 2025Article
- Unlocking Nitrofurantoin: Understanding Molecular Mechanisms of Action and Resistance in Enterobacterales.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2025Review
- Selection for florfenicol resistance at sub-MIC concentrations in Pasteurella multocida.PloS one · 2025Article
- Combatting biofilm-mediated infections in clinical settings by targeting quorum sensing.Cell surface (Amsterdam, Netherlands) · 2024Review
- Injectable Nano-Micro Composites with Anti-bacterial and Osteogenic Capabilities for Minimally Invasive Treatment of Osteomyelitis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- ISMicrobial genomics · 2023Article
- Segregational drift hinders the evolution of antibiotic resistance on polyploid replicons.PLoS genetics · 2023Article
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3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Experimental evolution studies have shown that weak antibiotic selective pressures (i.e., when the antibiotic concentrations are far below the minimum inhibitory concentration, MIC) can select resistant mutants, raising several unanswered questions. First, what are the lowest antibiotic concentrations at which selection for de novo resistance mutations can occur? Second, with weak antibiotic selections, which other types of adaptive mutations unrelated to the antibiotic selective pressure are concurrently enriched? Third, are the mutations selected under laboratory settings at subMIC also observed in clinical isolates? We addressed these questions using Escherichia coli populations evolving at subMICs in the presence of either of four clinically used antibiotics: fosfomycin, nitrofurantoin, tetracycline, and ciprofloxacin. Antibiotic resistance evolution was investigated at concentrations ranging from 1/4th to 1/2000th of the MIC of the susceptible strain (MICsusceptible). Our results show that evolution was rapid across all the antibiotics tested, and selection for fosfomycin- and nitrofurantoin-resistant mutants was observed at a concentration as low as 1/2000th of MICsusceptible. Several of the evolved resistant mutants showed increased growth yield and exponential growth rates, and outcompeted the susceptible ancestral strain in the absence of antibiotics as well, suggesting that adaptation to the growth environment occurred in parallel with the selection for resistance. Genomic analysis of the resistant mutants showed that several of the mutations selected under these conditions are also found in clinical isolates, demonstrating that experimental evolution at very low antibiotic levels can help in identifying novel mutations that contribute to bacterial adaptation during subMIC exposure in real-life settings.
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