Mutational signature analysis predicts bacterial hypermutation and multidrug resistance

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 mutat...

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Main Authors: Kalen M. Hall, Leonard G. Williams, Richard D. Smith, Erin A. Kuang, Robert K. Ernst, Christine M. Bojanowski, William C. Wimley, Lisa A. Morici, Zachary F. Pursell
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-55206-w
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author Kalen M. Hall
Leonard G. Williams
Richard D. Smith
Erin A. Kuang
Robert K. Ernst
Christine M. Bojanowski
William C. Wimley
Lisa A. Morici
Zachary F. Pursell
author_facet Kalen M. Hall
Leonard G. Williams
Richard D. Smith
Erin A. Kuang
Robert K. Ernst
Christine M. Bojanowski
William C. Wimley
Lisa A. Morici
Zachary F. Pursell
author_sort Kalen M. Hall
collection DOAJ
description 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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spelling doaj-art-b5195bdbd0fb417aa0b5e56d48040b162025-01-05T12:38:36ZengNature PortfolioNature Communications2041-17232025-01-0116111610.1038/s41467-024-55206-wMutational signature analysis predicts bacterial hypermutation and multidrug resistanceKalen M. Hall0Leonard G. Williams1Richard D. Smith2Erin A. Kuang3Robert K. Ernst4Christine M. Bojanowski5William C. Wimley6Lisa A. Morici7Zachary F. Pursell8Department of Microbiology and Immunology, School of Medicine, Tulane UniversityDepartment of Biochemistry and Molecular Biology, School of Medicine, Tulane UniversityDepartment of Microbial Pathogenesis, School of Dentistry, University of MarylandDepartment of Microbiology and Immunology, School of Medicine, Tulane UniversityDepartment of Microbial Pathogenesis, School of Dentistry, University of MarylandDepartment of Medicine, School of Medicine, Tulane UniversityDepartment of Biochemistry and Molecular Biology, School of Medicine, Tulane UniversityDepartment of Microbiology and Immunology, School of Medicine, Tulane UniversityDepartment of Biochemistry and Molecular Biology, School of Medicine, Tulane UniversityAbstract 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.https://doi.org/10.1038/s41467-024-55206-w
spellingShingle Kalen M. Hall
Leonard G. Williams
Richard D. Smith
Erin A. Kuang
Robert K. Ernst
Christine M. Bojanowski
William C. Wimley
Lisa A. Morici
Zachary F. Pursell
Mutational signature analysis predicts bacterial hypermutation and multidrug resistance
Nature Communications
title Mutational signature analysis predicts bacterial hypermutation and multidrug resistance
title_full Mutational signature analysis predicts bacterial hypermutation and multidrug resistance
title_fullStr Mutational signature analysis predicts bacterial hypermutation and multidrug resistance
title_full_unstemmed Mutational signature analysis predicts bacterial hypermutation and multidrug resistance
title_short Mutational signature analysis predicts bacterial hypermutation and multidrug resistance
title_sort mutational signature analysis predicts bacterial hypermutation and multidrug resistance
url https://doi.org/10.1038/s41467-024-55206-w
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