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Methicillin-Resistance Staphylococcus Aureus Genotyping using a Small Set of Polymorphisms

Stephens, Alex J., Huygens, Flavia, Inman-Bamber, John, Price, Erin P., Nimmo, Graeme R. , Schooneveldt, Jacqueline , Munckhof, Wendy , & Giffard, Philip M. (2006) Methicillin-Resistance Staphylococcus Aureus Genotyping using a Small Set of Polymorphisms. Journal of Medical Microbiology, 55(1), pp. 43-51.

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Abstract

The aim of this study was to identify a set of genetic polymorphisms that efficiently divides methicillin-resistant Staphylococcus aureus (MRSA) strains into groups consistent with the population structure. The rationale was that such polymorphisms could underpin rapid real-time PCR or low-density array-based methods for monitoring MRSA dissemination in a cost-effective manner. Previously, the authors devised a computerized method for identifying sets of single nucleotide polymorphisms (SNPs) with high resolving power that are defined by multilocus sequence typing (MLST) databases, and also developed a real-time PCR method for interrogating a seven-member SNP set for genotyping S. aureus. Here, it is shown that these seven SNPs efficiently resolve the major MRSA lineages and define 27 genotypes. The SNP-based genotypes are consistent with the MRSA population structure as defined by eBURST analysis. The capacity of binary markers to improve resolution was tested using 107 diverse MRSA isolates of Australian origin that encompass nine SNP-based genotypes. The addition of the virulence-associated genes cna, pvl and bbp/sdrE, and the integrated plasmids pT181, pI258 and pUB110, resolved the nine SNP-based genotypes into 21 combinatorial genotypes. Subtyping of the SCCmec locus revealed new SCCmec types and increased the number of combinatorial genotypes to 24. It was concluded that these polymorphisms provide a facile means of assigning MRSA isolates into well-recognized lineages.

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43 citations in Web of Science®

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ID Code: 7678
Item Type: Journal Article
Additional Information: For more information, please refer to the journal's website (see link) or contact the author Flavia Huygens. Author contact details: f.huygens@qut.edu.au
Keywords: MRSA, genotyping, SNPs, Real, time PCR
DOI: 10.1099/jmm.0.46157-0
ISSN: 0022-2615
Subjects: Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > MEDICAL MICROBIOLOGY (110800) > Medical Infection Agents (incl. Prions) (110802)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300)
Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000) > MICROBIOLOGY (060500) > Microbial Genetics (060503)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer Software not elsewhere classified (080399)
Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000)
Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000) > MICROBIOLOGY (060500) > Bacteriology (060501)
Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > MEDICAL BIOTECHNOLOGY (100400) > Medical Biotechnology not elsewhere classified (100499)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > MEDICAL MICROBIOLOGY (110800)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > MEDICAL MICROBIOLOGY (110800) > Medical Bacteriology (110801)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000)
Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000) > MICROBIOLOGY (060500)
Australian and New Zealand Standard Research Classification > BIOLOGICAL SCIENCES (060000) > MICROBIOLOGY (060500) > Infectious Agents (060502)
Australian and New Zealand Standard Research Classification > TECHNOLOGY (100000) > MEDICAL BIOTECHNOLOGY (100400) > Medical Biotechnology Diagnostics (incl. Biosensors) (100402)
Divisions: Current > Research Centres > CRC for Diagnostics
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Copyright 2006 Society for General Microbiology
Deposited On: 16 May 2007
Last Modified: 29 Feb 2012 23:27

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