The DOI matches its Crossref record.
Tracking the in vivo evolution of multidrug resistance in Staphylococcus aureus by whole-genome sequencing
Open accessAbstract
The spread of multidrug-resistant Staphylococcus aureus (MRSA) strains in the clinical environment has begun to pose serious limits to treatment options. Yet virtually nothing is known about how resistance traits are acquired in vivo . Here, we apply the power of whole-genome sequencing to identify steps in the evolution of multidrug resistance in isogenic S. aureus isolates recovered periodically from the bloodstream of a patient undergoing chemotherapy with vancomycin and other antibiotics. After extensive therapy, the bacterium developed resistance, and treatment failed. Sequencing the first vancomycin susceptible isolate and the last vancomycin nonsusceptible isolate identified genome wide only 35 point mutations in 31 loci. These mutations appeared in a sequential order in isolates that were recovered at intermittent times during chemotherapy in parallel with increasing levels of resistance. The vancomycin nonsusceptible isolates also showed a 100-fold decrease in susceptibility to daptomycin, although this antibiotic was not used in the therapy. One of the mutated loci associated with decreasing vancomycin susceptibility (the vraR operon) was found to also carry mutations in six additional vancomycin nonsusceptible S. aureus isolates belonging to different genetic backgrounds and recovered from different geographic sites. As costs drop, whole-genome sequencing will become a useful tool in elucidating complex pathways of in vivo evolution in bacterial pathogens.
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
Cited by
Origins and evolution of antibiotic resistance
Davies, J., & Davies, D. (2010) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00016-10 · Cited by 5,784
Howden, B. P., Davies, J. K., Johnson, P. D. R., Stinear, T. P., & Grayson, M. L. (2010) · Clinical Microbiology Reviews · doi:10.1128/cmr.00042-09 · Cited by 962
The biology and future prospects of antivirulence therapies
Cegelski, L., Marshall, G. R., Eldridge, G. R., & Hultgren, S. J. (2008) · Nature Reviews Microbiology · doi:10.1038/nrmicro1818 · Cited by 788
Mechanisms of vancomycin resistance in Staphylococcus aureus
Gardete, S., & Tomasz, A. (2014) · Journal of Clinical Investigation · doi:10.1172/jci68834 · Cited by 565
Self-citationAdaptive Evolution within Gut Microbiomes of Healthy People
Zhao, S., Lieberman, T. D., Poyet, M., Kauffman, K. M., Gibbons, S. M., Groussin, M., Xavier, R. J., & Alm, E. J. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.03.007 · Cited by 434
Metadata
- Authors
- Mwangi, M. M., Wu, S. W., Zhou, Y., Sieradzki, K., de Lencastre, H., Richardson, P., Bruce, D., Rubin, E., Myers, E., Siggia, E. D., & Tomasz, A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2007-05-29
- Volume
- 104
- Issue
- 22
- Pages
- 9451-9456
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2146370523
- Cited by
- 538
- References
- 0
- FWCI
- 23.11
- 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: Tracking the in vivo evolution of multidrug resistance in Staphylococcus aureus by whole-genome sequencing. https://app.cochat.ai/papers/10.1073/pnas.0609839104
- The paper
- Mwangi, M. M., Wu, S. W., Zhou, Y., Sieradzki, K., de Lencastre, H., Richardson, P., Bruce, D., Rubin, E., Myers, E., Siggia, E. D., & Tomasz, A. (2007). Tracking the in vivo evolution of multidrug resistance in Staphylococcus aureus by whole-genome sequencing. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0609839104
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.