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Genome co-adaptation and the evolution of methicillin resistant Staphylococcus aureus

Seungwon Ko, Elizabeth A. Cummins, William Monteith, Samuel K. Sheppard

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Antimicrobial resistance in bacterial pathogens is a major threat to global health, rendering standard treatments ineffective and increasing the risk of severe infection or death. Resistance is often conferred by genes that are transferred horizontally among species and strains. However, for many bacteria, little is known about the genetic variation that potentiates resistance gene acquisition and accommodates acquired genes in the coadapted recipient genome. Results: Here we introduce a new bioinformatics genome-wide association study approach, Guided Omission of Linkage Disequilibrium (GOLD-GWAS). This method masks covarying alleles explained by coinheritance and genome proximity to reveal loci where covarying sequence likely represents functional linkage, consistent with epistasis. Analysing 806 Staphylococcus aureus isolate genomes, including methicillin-resistant (MRSA) and methicillin-susceptible (MSSA) strains, we identified genes that covary with the presence of the acquired staphylococcal cassette chromosome mec (SCCmec) that houses the mecA resistance gene. Conclusions: By uncovering known and new gene–gene associations, we demonstrate how resistance can involve genetic coalitions beyond well-known antimicrobial resistance genes. Understanding how genomic changes, such as extrinsic resistance cassettes, are integrated within coadapted bacterial genomes is an important step towards mitigating antimicrobial resistance evolution and identifying novel genetic targets for risk prediction, diagnosis, and therapy.

Original languageEnglish
Article number91
JournalGenome Biology
Volume27
Issue number1
Early online date11 Feb 2026
DOIs
Publication statusPublished - 11 Feb 2026

Data Availability Statement

All data analysed during the current study are included in this published article and its supplementary information files **.** Custom Python scripts used to perform analyses are publicly available at GitHub [103] and Zenodo [104] under the MIT license unless otherwise stated in the text. All simulation data is also publicly available at Zenodo [105] under MIT license.

Funding

SK is a self-funded PhD student and EAC is supported by a BBSRC grant (BB/W020602/1), awarded to SKS.

Keywords

  • Co-variation
  • Epistasis
  • Genome-wide association study (GWAS)
  • Methicillin resistant Staphylococcus aureus (MRSA)
  • Staphylococcal cassette chromosome mec (SCCmec)

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Cell Biology

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