ReviewAnnual review of microbiology2024
From Petri Dishes to Patients to Populations: Scales and Evolutionary Mechanisms Driving Antibiotic Resistance.
Review in Annual review of microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Simulating the host niche: balancing complexity and control in the experimental evolution of antibiotic resistance and pathoadaptation.Microbiology (Reading, England) · 2026Review
- Computational Genomics for Resistome Characterization: Current Advancements and Future Challenges Under a One Health Perspective.Antibiotics (Basel, Switzerland) · 2026Review
- Bacterial heteroresistance mechanisms, dynamics, and emerging diagnostic approaches.Bioscience reports · 2026Review
- Beyond resistance and tolerance: rethinking evolutionary responses to antibiotics from the perspective of individual bacterial cells.Nature communications · 2026Review
- A nutritional link to antimicrobial resistance: iron scarcity promotes plasmid co-selection inApplied and environmental microbiology · 2026Article
- Recovery and microbial host assignment of mobile genetic elements in complex microbiomes: insights from a spiked gut sample.mSystems · 2026Article
- Roles of Mutation, Ploidy, and Recombination in Adaptive Evolution in Two Divergent Model Yeasts.Genes · 2026Review
- Optimal Multi-Drug Therapies for Antimicrobial Resistance with Horizontal Transfer.Journal of optimization theory and applications · 2026Article
- Article
- Predicting Multidrug-Resistant Pneumonia: An Interpretable Machine Learning Model Validated in US and Chinese Patient Cohorts.Infection and drug resistance · 2026Article
- Dissecting pOXA-48 fitness effects in clinical Enterobacterales using plasmid-wide CRISPRi screens.Nature communications · 2025Article
- Risk factors for fluoroquinolone- and macrolide-resistance among swine Campylobacter coli using multi-layered chain graphs.PLoS computational biology · 2025Article
- Evolution of Resistant Mutants inMicroorganisms · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Tackling the challenge created by antibiotic resistance requires understanding the mechanisms behind its evolution. Like any evolutionary process, the evolution of antimicrobial resistance (AMR) is driven by the underlying variation in a bacterial population and the selective pressures acting upon it. Importantly, both selection and variation will depend on the scale at which resistance evolution is considered (from evolution within a single patient to the host population level). While laboratory experiments have generated fundamental insights into the mechanisms underlying antibiotic resistance evolution, the technological advances in whole genome sequencing now allow us to probe antibiotic resistance evolution beyond the lab and directly record it in individual patients and host populations. Here we review the evolutionary forces driving antibiotic resistance at each of these scales, highlight gaps in our current understanding of AMR evolution, and discuss future steps toward evolution-guided interventions.
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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 Socratic graph.