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

Autor: Wendy J. Munckhof, Graeme R. Nimmo, Alex J. Stephens, John Inman-Bamber, Erin P. Price, Flavia Huygens, Jacqueline Schooneveldt, Philip M. Giffard
Rok vydání: 2006
Předmět:
Microbiology (medical)
Staphylococcus aureus
110000 MEDICAL AND HEALTH SCIENCES
Genotype
Molecular Sequence Data
Single-nucleotide polymorphism
MRSA
110802 Medical Infection Agents (incl. Prions)
Biology
medicine.disease_cause
Polymerase Chain Reaction
Polymorphism
Single Nucleotide
Microbiology
080300 COMPUTER SOFTWARE
060501 Bacteriology
Bacterial Proteins
080399 Computer Software not elsewhere classified
medicine
Humans
SNP
Genotyping
060502 Infectious Agents
Genetics
100499 Medical Biotechnology not elsewhere classified
Base Sequence
100402 Medical Biotechnology Diagnostics (incl. Biosensors)
060503 Microbial Genetics
SCCmec
Australia
060500 MICROBIOLOGY
General Medicine
Methicillin-resistant Staphylococcus aureus
Subtyping
Bacterial Typing Techniques
110800 MEDICAL MICROBIOLOGY
SNP genotyping
060000 BIOLOGICAL SCIENCES
time PCR
genotyping
Trans-Activators
Multilocus sequence typing
Methicillin Resistance
110801 Medical Bacteriology
SNPs
Real
Zdroj: Journal of Medical Microbiology
ISSN: 1473-5644
0022-2615
Popis: 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.
Databáze: OpenAIRE
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