The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Evolutionary Models of the Emergence ofMethicillin-Resistant Staphylococcusaureus
Open accessAbstract
Five major lineages of methicillin-resistant Staphylococcus aureus (MRSA) have evolved since the introduction of methicillin for the treatment of infections caused by penicillin-resistant S. aureus in 1959. The clones of these lineages are responsible for the vast majority of hospital-acquired MRSA disease globally. We have constructed high-resolution evolutionary models for each lineage using a parsimony approach with 15 partial gene sequences from 147 geographically diverse isolates. On the basis of these models, we infer that MRSA has emerged at least 20 times upon acquisition of the methicillin resistance determinant, which is carried on a mobile genetic element called the staphylococcal cassette chromosome mec (SCC mec ). The acquisition of SCC mec by sensitive clones was four times more common than the replacement of one SCC mec with another. Notably, SCC mec type IV was found in twice as many clones as any other SCC mec type, and it is this SCC mec type which is commonly found in clones from patients with community-acquired MRSA disease. Our findings suggest that most clones of MRSA arise by the acquisition of SCC mec type IV by methicillin-sensitive isolates.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Thompson, J. D., Higgins, D. G., & Gibson, T. J. (1994) · Nucleic Acids Research · doi:10.1093/nar/22.22.4673 · Cited by 64,617
MEGA2: molecular evolutionary genetics analysis software
Kumar, S., Tamura, K., Jakobsen, I. B., & Nei, M. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.12.1244 · Cited by 6,097
Hunter, P. R., & Gaston, M. A. (1988) · Journal of Clinical Microbiology · doi:10.1128/jcm.26.11.2465-2466.1988 · Cited by 3,124
Enright, M. C., Day, N. P. J., Davies, C. E., Peacock, S. J., & Spratt, B. G. (2000) · Journal of Clinical Microbiology · doi:10.1128/jcm.38.3.1008-1015.2000 · Cited by 3,063
Self-citationMethicillin-resistant Staphylococcus aureus clinical strain with reduced vancomycin susceptibility
Hiramatsu, K. (1997) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/40.1.135 · Cited by 1,984
"Celbenin" - resistant Staphylococci
Jevons, M. P. (1961) · BMJ · doi:10.1136/bmj.1.5219.124-a · Cited by 1,680
The evolutionary history of methicillin-resistant Staphylococcus aureus (MRSA)
Enright, M. C., Robinson, D. A., Randle, G., Feil, E. J., Grundmann, H., & Spratt, B. G. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122108599 · Cited by 1,588
Self-citationThe Changing Epidemiology of Staphylococcus aureus?
Chambers, H. F. (2001) · Emerging Infectious Diseases · doi:10.3201/eid0702.010204 · Cited by 1,495
Genome and virulence determinants of high virulence community-acquired MRSA
Baba, T., Takeuchi, F., Kuroda, M., Yuzawa, H., Aoki, K.-I., Oguchi, A., Nagai, Y., Iwama, N., Asano, K., Naimi, T., et al. (2002) · The Lancet · doi:10.1016/s0140-6736(02)08713-5 · Cited by 1,370
Oliveira, D. C., & Lencastre, H. D. (2002) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.46.7.2155-2161.2002 · Cited by 1,343
Cited by
Waves of resistance: Staphylococcus aureus in the antibiotic era
Chambers, H. F., & DeLeo, F. R. (2009) · Nature Reviews Microbiology · doi:10.1038/nrmicro2200 · Cited by 2,718
David, M. Z., & Daum, R. S. (2010) · Clinical Microbiology Reviews · doi:10.1128/cmr.00081-09 · Cited by 1,972
Methicillin-Resistant Staphylococcus aureus: Molecular Characterization, Evolution, and Epidemiology
Lakhundi, S., & Zhang, K. (2018) · Clinical Microbiology Reviews · doi:10.1128/cmr.00020-18 · Cited by 1,637
Holden, M. T. G., Feil, E. J., Lindsay, J. A., Peacock, S. J., Day, N. P. J., Enright, M. C., Foster, T. J., Moore, C. E., Hurst, L., Atkin, R., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402521101 · Cited by 892
Self-citationThe changing epidemiology of resistance
Hawkey, P. M., & Jones, A. M. (2009) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkp256 · Cited by 773
Metadata
- Authors
- Robinson, D. A., & Enright, M. C.
- Venue
- Antimicrobial Agents and Chemotherapy
- Publisher
- American Society for Microbiology
- Published
- 2003-12
- Volume
- 47
- Issue
- 12
- Pages
- 3926-3934
- ISSN
- 0066-4804 (ISSN-L)
- 1098-6596
- OpenAlex
- W2171660616
- Cited by
- 435
- References
- 32
- FWCI
- 19.37
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Evolutionary Models of the Emergence ofMethicillin-Resistant Staphylococcusaureus. https://app.cochat.ai/papers/10.1128/aac.47.12.3926-3934.2003
- The paper
- Robinson, D. A., & Enright, M. C. (2003). Evolutionary Models of the Emergence ofMethicillin-Resistant Staphylococcusaureus. Antimicrobial Agents and Chemotherapy. https://doi.org/10.1128/aac.47.12.3926-3934.2003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
