Methicillin-resistant Staphylococcus aureus genotyping using a small set of polymorphisms

J Med Microbiol. 2006 Jan;55(Pt 1):43-51. doi: 10.1099/jmm.0.46157-0.


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.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Australia
  • Bacterial Proteins / genetics
  • Bacterial Typing Techniques*
  • Base Sequence
  • Genotype
  • Humans
  • Methicillin Resistance / genetics*
  • Molecular Sequence Data
  • Polymerase Chain Reaction
  • Polymorphism, Single Nucleotide / genetics*
  • Staphylococcus aureus / classification*
  • Staphylococcus aureus / drug effects
  • Staphylococcus aureus / genetics
  • Trans-Activators / genetics


  • Agr protein, Staphylococcus aureus
  • Bacterial Proteins
  • Trans-Activators