Evidence map›Paper›PMID 28724393›Full record

ArticleGenome biology2017

Methicillin-resistant Staphylococcus aureus emerged long before the introduction of methicillin into clinical practice.

Catriona P Harkins, Bruno Pichon, Michel Doumith, Julian Parkhill, Henrik Westh, Alexander Tomasz, Herminia de Lencastre, Stephen D Bentley, Angela M Kearns, Matthew T G Holden

Abstract readHistorical Article
In one paragraph

Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

132 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Methicillin-ResistantToxins · 2020
    Pooled it
  3. Methicillin-resistant Staphylococcus aureus.Nature reviews. Disease primers · 2026
    Review
  4. Review
  5. Article
  6. Molecular diagnosis of methicillin-resistantOpen veterinary journal · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Methicillin-resistantiScience · 2026
    Review
  16. Article
  17. Review
  18. Network analysis of antimicrobial resistance inNAR genomics and bioinformatics · 2025
    Article
  19. Article
  20. Article

72 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Catriona P HarkinsSchool of Medicine, University of St Andrews, St Andrews, KY16 9TF, UK.
Bruno PichonAntimicrobial Resistance and Healthcare Associated Infections Reference Unit, National Infection Service, Public Health England, Colindale, UK.
Michel DoumithAntimicrobial Resistance and Healthcare Associated Infections Reference Unit, National Infection Service, Public Health England, Colindale, UK.
Julian ParkhillThe Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
Henrik WesthDepartment of Clinical Microbiology, Hvidovre University Hospital, Hvidovre, Denmark.
Alexander TomaszLaboratory of Microbiology and Infectious Diseases, The Rockefeller University, New York, USA.
Herminia de LencastreLaboratory of Microbiology and Infectious Diseases, The Rockefeller University, New York, USA.
Stephen D BentleyThe Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
Angela M KearnsAntimicrobial Resistance and Healthcare Associated Infections Reference Unit, National Infection Service, Public Health England, Colindale, UK.
Matthew T G HoldenSchool of Medicine, University of St Andrews, St Andrews, KY16 9TF, UK. mtgh@st-andrews.ac.uk.

Funding

Wellcome Trust 098051Wellcome Trust 104241/Z/14/Z
6 · The paper itself

Abstract

backgroundThe spread of drug-resistant bacterial pathogens poses a major threat to global health. It is widely recognised that the widespread use of antibiotics has generated selective pressures that have driven the emergence of resistant strains. Methicillin-resistant Staphylococcus aureus (MRSA) was first observed in 1960, less than one year after the introduction of this second generation beta-lactam antibiotic into clinical practice. Epidemiological evidence has always suggested that resistance arose around this period, when the mecA gene encoding methicillin resistance carried on an SCCmec element, was horizontally transferred to an intrinsically sensitive strain of S. aureus.

resultsWhole genome sequencing a collection of the first MRSA isolates allows us to reconstruct the evolutionary history of the archetypal MRSA. We apply Bayesian phylogenetic reconstruction to infer the time point at which this early MRSA lineage arose and when SCCmec was acquired. MRSA emerged in the mid-1940s, following the acquisition of an ancestral type I SCCmec element, some 14 years before the first therapeutic use of methicillin.

conclusionsMethicillin use was not the original driving factor in the evolution of MRSA as previously thought. Rather it was the widespread use of first generation beta-lactams such as penicillin in the years prior to the introduction of methicillin, which selected for S. aureus strains carrying the mecA determinant. Crucially this highlights how new drugs, introduced to circumvent known resistance mechanisms, can be rendered ineffective by unrecognised adaptations in the bacterial population due to the historic selective landscape created by the widespread use of other antibiotics.

Indexed as

Bacterial ProteinsBayes TheoremDrug Resistance, BacterialEvolution, MolecularHistory, 20th CenturyHumansMethicillinMethicillin-Resistant Staphylococcus aureusPenicillin-Binding ProteinsPhylogenyWhole Genome SequencingBacterial ProteinsmecA protein, Staphylococcus aureusMethicillinPenicillin-Binding ProteinsAntibiotic resistanceMRSAStaphylococcus aureus

Identifiers

PMID28724393
PMCPMC5517843

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Registered trials

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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.