Stephens Alex J, Huygens Flavia, Inman-Bamber John, Price Erin P, Nimmo Graeme R, Schooneveldt Jacqueline, Munckhof Wendy, Giffard Philip M
Cooperative Research Centre for Diagnostics, Queensland University of Technology, GPO Box 2434, Brisbane, Queensland 4001, Australia.
Queensland Health Pathology Services, Princess Alexandra Hospital, Brisbane, Australia.
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.
本研究的目的是鉴定一组基因多态性,这些多态性能够有效地将耐甲氧西林金黄色葡萄球菌(MRSA)菌株分为与群体结构一致的组。其基本原理是,此类多态性可为以具有成本效益的方式监测MRSA传播的快速实时PCR或基于低密度阵列的方法提供支持。此前,作者设计了一种计算机化方法,用于鉴定由多位点序列分型(MLST)数据库定义的具有高分辨力的单核苷酸多态性(SNP)集合,还开发了一种实时PCR方法,用于检测一个由七个SNP组成的集合以对金黄色葡萄球菌进行基因分型。在此,研究表明这七个SNP能够有效地分辨主要的MRSA谱系并定义27种基因型。基于SNP的基因型与通过eBURST分析定义的MRSA群体结构一致。使用涵盖九种基于SNP的基因型的107株源自澳大利亚的不同MRSA分离株,测试了二元标记提高分辨率的能力。添加与毒力相关的基因cna、pvl和bbp/sdrE,以及整合质粒pT181、pI258和pUB110,将九种基于SNP的基因型解析为21种组合基因型。SCCmec位点的亚型分析揭示了新的SCCmec类型,并将组合基因型的数量增加到24种。得出的结论是,这些多态性为将MRSA分离株归入公认的谱系提供了一种简便方法。