ArticleNature communications2022
Rapid expansion and extinction of antibiotic resistance mutations during treatment of acute bacterial respiratory infections.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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Who cites it
28 citing papers in PubMed.
- Microbial interactions as key players shaping the emergence and spread ofMicrobiology (Reading, England) · 2026Review
- 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
- Assessing the Ecological Roles of Resistomes within Microbial Communities in Antibiotic-contaminated Ecosystems.Microbial ecology · 2026Review
- Cryptic phenotypic variation emerges rapidly during the adaptive evolution of a carbapenemase.Nature ecology & evolution · 2026Article
- Phage-antibiotic synergy attenuatesFrontiers in cellular and infection microbiology · 2026Article
- Role of antibiotic prophylaxis in liver transplant patients undergoing endoscopic retrograde cholangiopancreatography: a systematic review and meta-analysis.EClinicalMedicine · 2025Article
- Within-host bacterial evolution and the emergence of pathogenicity.Nature microbiology · 2025Review
- High abundance of antimicrobial resistance genes in chicken flocks receiving antimicrobial treatment in Vietnamese poultry production.JAC-antimicrobial resistance · 2025Article
- De novo mutations mediate phenotypic switching in an opportunistic human lung pathogen.Nature communications · 2025Article
- Genetically Modified Mesenchymal Stromal/Stem Cells as a Delivery Platform for SE-33, a Cathelicidin LL-37 Analogue: Preclinical Pharmacokinetics and Tissue Distribution in C57BL/6 Mice.Antibiotics (Basel, Switzerland) · 2025Article
- aurora: a machine learning gwas tool for analyzing microbial habitat adaptation.Genome biology · 2025Article
- Article
- From Petri Dishes to Patients to Populations: Scales and Evolutionary Mechanisms Driving Antibiotic Resistance.Annual review of microbiology · 2024Review
- Ecological and evolutionary mechanisms driving within-patient emergence of antimicrobial resistance.Nature reviews. Microbiology · 2024Review
- Monitoring of Pseudomonas aeruginosa mutational resistome dynamics using an enrichment panel for direct sequencing of clinical samples.EBioMedicine · 2024Article
- Non-Canonical Aspects of Antibiotics and Antibiotic Resistance.Antibiotics (Basel, Switzerland) · 2024Review
- Limitations of current techniques in clinical antimicrobial resistance diagnosis: examples and future prospects.npj antimicrobials and resistance · 2024Review
- Nucleus-forming jumbophage PhiKZ therapeutically outcompetes non-nucleus-forming jumbophage Callisto.iScience · 2024Article
- A small molecule that inhibits the evolution of antibiotic resistance.NAR molecular medicine · 2024Article
Corrections and comments
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Authors and funding
23 authors.
Funding
Abstract
Acute bacterial infections are often treated empirically, with the choice of antibiotic therapy updated during treatment. The effects of such rapid antibiotic switching on the evolution of antibiotic resistance in individual patients are poorly understood. Here we find that low-frequency antibiotic resistance mutations emerge, contract, and even go to extinction within days of changes in therapy. We analyzed Pseudomonas aeruginosa populations in sputum samples collected serially from 7 mechanically ventilated patients at the onset of respiratory infection. Combining short- and long-read sequencing and resistance phenotyping of 420 isolates revealed that while new infections are near-clonal, reflecting a recent colonization bottleneck, resistance mutations could emerge at low frequencies within days of therapy. We then measured the in vivo frequencies of select resistance mutations in intact sputum samples with resistance-targeted deep amplicon sequencing (RETRA-Seq), which revealed that rare resistance mutations not detected by clinically used culture-based methods can increase by nearly 40-fold over 5-12 days in response to antibiotic changes. Conversely, mutations conferring resistance to antibiotics not administered diminish and even go to extinction. Our results underscore how therapy choice shapes the dynamics of low-frequency resistance mutations at short time scales, and the findings provide a possibility for driving resistance mutations to extinction during early stages of infection by designing patient-specific antibiotic cycling strategies informed by deep genomic surveillance.
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