Price Erin P, Huygens Flavia, Giffard Philip M
Cooperative Research Centre for Diagnostics, Institute of Health and Biomedical Innovation, Queensland University of Technology, Cnr Blamey St. and Musk Ave., Kelvin Grove, Queensland 4059, Australia.
Appl Environ Microbiol. 2006 Dec;72(12):7793-803. doi: 10.1128/AEM.01338-06. Epub 2006 Sep 22.
The aim of this investigation was to exploit the vast comparative data generated by comparative genome hybridization (CGH) studies of Campylobacter jejuni in developing a genotyping method. We examined genes in C. jejuni that exhibit binary status (present or absent between strains) within known plasticity regions, in order to identify a minimal subset of gene targets that provide high-resolution genetic fingerprints. Using CGH data from three studies as input, binary gene sets were identified with "Minimum SNPs" software. "Minimum SNPs" selects for the minimum number of targets required to obtain a predefined resolution, based on Simpson's index of diversity (D). After implementation of stringent criteria for gene presence/absence, eight binary genes were found that provided 100% resolution (D=1) of 20 C. jejuni strains. A real-time PCR assay was developed and tested on 181 C. jejuni and Campylobacter coli isolates, a subset of which have previously been characterized by multilocus sequence typing, flaA short variable region sequencing, and pulsed-field gel electrophoresis. In addition to the binary gene real-time PCR assay, we refined the seven-member single nucleotide polymorphism (SNP) real-time PCR assay previously described for C. jejuni and C. coli. By normalizing the SNP assay with the respective C. jejuni and C. coli ubiquitous genes, mapA and ceuE, the polymorphisms at each SNP could be determined without separate reactions for every polymorphism. We have developed and refined a rapid, highly discriminatory genotyping method for C. jejuni and C. coli that uses generic technology and is amenable to high-throughput analyses.
本研究的目的是利用空肠弯曲菌比较基因组杂交(CGH)研究产生的大量比较数据来开发一种基因分型方法。我们检查了空肠弯曲菌中已知可塑性区域内呈现二元状态(菌株间存在或不存在)的基因,以便鉴定出能提供高分辨率遗传指纹的最小基因靶点子集。以三项研究的CGH数据作为输入,使用“Minimum SNPs”软件鉴定二元基因集。“Minimum SNPs”基于辛普森多样性指数(D)选择获得预定义分辨率所需的最小靶点数量。在实施严格的基因存在/不存在标准后,发现八个二元基因对20株空肠弯曲菌菌株提供了100%的分辨率(D = 1)。开发了一种实时PCR检测方法,并在181株空肠弯曲菌和结肠弯曲菌分离株上进行了测试,其中一部分分离株先前已通过多位点序列分型、flaA短可变区测序和脉冲场凝胶电泳进行了鉴定。除了二元基因实时PCR检测方法外,我们还优化了先前描述的用于空肠弯曲菌和结肠弯曲菌的七元单核苷酸多态性(SNP)实时PCR检测方法。通过用各自空肠弯曲菌和结肠弯曲菌的普遍存在基因mapA和ceuE对SNP检测进行标准化,可以在不针对每个多态性单独进行反应的情况下确定每个SNP处的多态性。我们已经开发并优化了一种用于空肠弯曲菌和结肠弯曲菌的快速、高鉴别力的基因分型方法,该方法使用通用技术且适用于高通量分析。