Evidence map›Paper›PMID 41673895›Full record

ArticleGenome biology2026

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

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

Abstract read
In one paragraph

Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Seungwon Ko *Department of Biology, Ineos Oxford Institute for Antimicrobial Research, University of Oxford, Oxford, UK.
Elizabeth A Cummins *Department of Biology, Ineos Oxford Institute for Antimicrobial Research, University of Oxford, Oxford, UK.
William MonteithDepartment of Biology, Ineos Oxford Institute for Antimicrobial Research, University of Oxford, Oxford, UK.
Samuel K SheppardDepartment of Biology, Ineos Oxford Institute for Antimicrobial Research, University of Oxford, Oxford, UK. samuel.sheppard@biology.ox.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/W020602/1
6 · The paper itself

Abstract

backgroundAntimicrobial 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.

resultsHere 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.

conclusionsBy 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.

Indexed as

Adaptation, PhysiologicalEvolution, MolecularGenome, BacterialMethicillin-Resistant Staphylococcus aureusBacterial ProteinsEpistasis, GeneticGenome-Wide Association StudyLinkage DisequilibriumBacterial ProteinsCo-variationEpistasisGenome-wide association study (GWAS)Methicillin resistant Staphylococcus aureus (MRSA)Staphylococcal cassette chromosome mec (SCCmec)

Identifiers

PMID41673895
PMCPMC12997946

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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.