ArticleThe Journal of antimicrobial chemotherapy2017
Re-emergence of methicillin susceptibility in a resistant lineage of Staphylococcus aureus.
Article in The Journal of antimicrobial chemotherapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 24 citations in OpenAlex.
- Whole-genome sequencing ofMicrobiology spectrum · 2026Article
- Trends, Seasonality, and the Impact of COVID-19 on ClinicalAntibiotics (Basel, Switzerland) · 2026Article
- Genomic epidemiology of mecC-carrying Staphylococcus aureus isolates from human clinical cases in New Zealand.Access microbiology · 2024Article
- Phylogenetic Analysis of Bacterial Pathogen Genomes.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Bayesian Inference of Clonal Expansions in a Dated Phylogeny.Systematic biology · 2022Article
- Detection of Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2022Article
- Livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) prevalence in humans in close contact with animals and measures to reduce on-farm colonisation.Irish veterinary journal · 2021Review
- Antimicrobial Resistance and Genetic Lineages ofAnimals : an open access journal from MDPI · 2021Article
- Observational
- Identification of Hidden Population Structure in Time-Scaled Phylogenies.Systematic biology · 2020Article
- Article
- Genetic resistance determinants to fusidic acid and chlorhexidine in variably susceptible staphylococci from dogs.BMC microbiology · 2019Article
- Evolutionary epidemiology models to predict the dynamics of antibiotic resistance.Evolutionary applications · 2019Article
- USA300 Staphylococcus aureus persists on multiple body sites following an infection.BMC microbiology · 2018Article
- Genomic surveillance of Neisseria gonorrhoeae to investigate the distribution and evolution of antimicrobial-resistance determinants and lineages.Microbial genomics · 2018Article
- Modeling the Growth and Decline of Pathogen Effective Population Size Provides Insight into Epidemic Dynamics and Drivers of Antimicrobial Resistance.Systematic biology · 2018Article
- Prevalence and Characterization ofFrontiers in microbiology · 2018Article
- Trends in Antibiotic Susceptibility in Staphylococcus aureus in Boston, Massachusetts, from 2000 to 2014.Journal of clinical microbiology · 2018Observational
- Point prevalence survey of antibiotic utilization in secondary care hospital in the United Arab Emirates.Pharmacy practiceArticle
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
Objectives: MRSA is a leading cause of hospital-associated infection. Acquired resistance is encoded by the mecA gene or its homologue mecC , but little is known about the evolutionary dynamics involved in gain and loss of resistance. The objective of this study was to obtain an expanded understanding of Staphylococcus aureus methicillin resistance microevolution in vivo , by focusing on a single lineage. Methods: We compared the whole-genome sequences of 231 isolates from a single epidemic lineage [clonal complex 30 (CC30) and spa -type t018] of S. aureus that caused an epidemic in the UK. Results: We show that resistance to methicillin in this single lineage was gained on at least two separate occasions, one of which led to a clonal expansion around 1995 presumably caused by a selective advantage. Resistance was, however, subsequently lost in vivo by nine strains isolated between 2008 and 2012. We describe the genetic mechanisms involved in this loss of resistance and the imperfect relationship between genotypic and phenotypic resistance. Conclusions: The recent re-emergence of methicillin susceptibility in this epidemic lineage suggests a significant fitness cost of resistance and reduced selective advantage following the introduction in the mid-2000s of MRSA hospital control measures throughout the UK.
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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.