ReviewNature reviews. Genetics2010
The population genetics of antibiotic resistance: integrating molecular mechanisms and treatment contexts.
Review in Nature reviews. Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
120 citing papers in PubMed, 249 citations in OpenAlex.
- Resistance potentiators: Evolutionary catalysts of antibiotic resistance.PLoS biology · 2026Article
- Beyond resistance and tolerance: rethinking evolutionary responses to antibiotics from the perspective of individual bacterial cells.Nature communications · 2026Review
- KEGG orthology-based machine learning reveals functional determinants of antimicrobial resistance inMicrobiology spectrum · 2026Article
- Review
- A novel ABC family protein participates in the regulation of fitness cost caused byFundamental research · 2026Article
- Spatial population dynamics of bacterial colonies with social antibiotic resistance.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Drug delivery dynamics dictate evolution of bacterial antibiotic responses.The ISME journal · 2025Article
- Porin deficiency or plasmid copy number increase mediated carbapenem-resistantEmerging microbes & infections · 2024Article
- Ecological and evolutionary mechanisms driving within-patient emergence of antimicrobial resistance.Nature reviews. Microbiology · 2024Review
- Private benefit of β-lactamase dictates selection dynamics of combination antibiotic treatment.Nature communications · 2024Article
- Dynamics of drug delivery determines course of evolution of antibiotic responses in bacteria.bioRxiv : the preprint server for biology · 2024Article
- Modeling spatial evolution of multi-drug resistance under drug environmental gradients.PLoS computational biology · 2024Article
- Dynamical model of antibiotic responses linking expression of resistance genes to metabolism explains emergence of heterogeneity during drug exposures.Physical biology · 2024Article
- Sub-inhibitory antibiotic treatment selects for enhanced metabolic efficiency.Microbiology spectrum · 2024Article
- Independently evolved pollution resistance in four killifish populations is largely explained by few variants of large effect.Evolutionary applications · 2024Article
- Modeling spatial evolution of multi-drug resistance under drug environmental gradients.bioRxiv : the preprint server for biology · 2023Article
- Regulatory fine-tuning of mcr-1 increases bacterial fitness and stabilises antibiotic resistance in agricultural settings.The ISME journal · 2023Article
- Competitive interactions facilitate resistance development against antimicrobials.Applied and environmental microbiology · 2023Article
- Shifts in Mutation Bias Promote Mutators by Altering the Distribution of Fitness Effects.The American naturalist · 2023Article
- Mixed strain pathogen populations accelerate the evolution of antibiotic resistance in patients.Nature communications · 2023Article
60 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite efforts from a range of disciplines, our ability to predict and combat the evolution of antibiotic resistance in pathogenic bacteria is limited. This is because resistance evolution involves a complex interplay between the specific drug, bacterial genetics and both natural and treatment ecology. Incorporating details of the molecular mechanisms of drug resistance and ecology into evolutionary models has proved useful in predicting the dynamics of resistance evolution. However, putting these models to practical use will require extensive collaboration between mathematicians, molecular biologists, evolutionary ecologists and clinicians.
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Registered trials
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.