ArticleNature communications2025
Mutational signature analysis predicts bacterial hypermutation and multidrug resistance.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Resistance potentiators: Evolutionary catalysts of antibiotic resistance.PLoS biology · 2026Article
- Extended sequence context shapes mutational bias inProceedings of the National Academy of Sciences of the United States of America · 2026Article
- How mutagenesis and laboratory conditions affect the genome of the metal-resistant bacteriumJournal of bacteriology · 2026Article
- Multidomain DNA-Protein Mining Reveals Polymorphic Variations in RhlB Enhancing Monorhamnolipid Biosynthesis.ACS synthetic biology · 2026Article
- Phage-Based Approaches to ChronicAntibiotics (Basel, Switzerland) · 2026Review
- Stable Hypermutators Revealed by the Genomic Landscape of Genes Involved in Genome Stability Among Yeast Species.Molecular biology and evolution · 2025Article
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Authors and funding
9 authors.
Funding
Abstract
Bacteria of clinical importance, such as Pseudomonas aeruginosa, can become hypermutators upon loss of DNA mismatch repair (MMR) and are clinically correlated with high rates of multidrug resistance (MDR). Here, we demonstrate that hypermutated MMR-deficient P. aeruginosa has a unique mutational signature and rapidly acquires MDR upon repeated exposure to first-line or last-resort antibiotics. MDR acquisition was irrespective of drug class and instead arose through common resistance mechanisms shared between the initial and secondary drugs. Rational combinations of drugs having distinct resistance mechanisms prevented MDR acquisition in hypermutated MMR-deficient P. aeruginosa. Mutational signature analysis of P. aeruginosa across different human disease contexts identified appreciable quantities of MMR-deficient clinical isolates that were already MDR or prone to future MDR acquisition. Mutational signature analysis of patient samples is a promising diagnostic tool that may predict MDR and guide precision-based medical care.
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Registered trials
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