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Cited by 202

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Genetics of Antimicrobial Resistance in Staphylococcus Aureus

Jensen, Slade O, Lyon, Bruce R·2009·Future Microbiology

Abstract

Strains of Staphylococcus aureus that are resistant to multiple antimicrobial compounds, including most available classes of antibiotics and some antiseptics, are a major threat to patient care owing to their stubborn intransigence to chemotherapy and disinfection. This reality has stimulated extensive efforts to understand the genetic nature of the determinants encoding antimicrobial resistance, together with the mechanisms by which these determinants evolve over time and are spread within bacterial populations. Such studies have benefited from the application of molecular genetics and in recent years, the sequencing of over a dozen complete staphylococcal genomes. It is now evident that the evolution of multiresistance is driven by the acquisition of discrete preformed antimicrobial resistance genes that are exchanged between organisms via horizontal gene transfer. Nonetheless, chromosomal mutation is the catalyst of novel resistance determinants and is likely to have an enhanced influence with the ongoing introduction of synthetic antibiotics.

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Metadata

Authors
Jensen, S. O., & Lyon, B. R.
Venue
Future Microbiology
Published
2009-06
Volume
4
Issue
5
Pages
565-582
ISSN
  • 1746-0913 (ISSN-L)
  • 1746-0921
OpenAlex
W2117985595
Cited by
202
References
5
FWCI
4.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Genetics of Antimicrobial Resistance in Staphylococcus Aureus. https://app.cochat.ai/papers/10.2217/fmb.09.30
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Jensen, S. O., & Lyon, B. R. (2009). Genetics of Antimicrobial Resistance in Staphylococcus Aureus. Future Microbiology. https://doi.org/10.2217/fmb.09.30

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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.