Zhou Haijian, Liu Wenbing, Qin Tian, Liu Chen, Ren Hongyu
State Key Laboratory for Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Centre for Disease Control and PreventionBeijing, China; Collaborative Innovation Centre for Diagnosis and Treatment of Infectious DiseasesHangzhou, China.
Novogene Bioinformatics Technology Co. Ltd Beijing, China.
Front Microbiol. 2017 Mar 8;8:371. doi: 10.3389/fmicb.2017.00371. eCollection 2017.
At present, the most used methods for subtyping are multilocus sequence typing (MLST) and pulsed-field gel electrophoresis (PFGE). However, the discriminatory power of MLST could not meet the need for distinguishing outbreak and non-outbreak isolates and the PFGE is time-consuming and labor-intensive. A core genome multilocus sequence typing (cgMLST) scheme for whole-genome sequence-based typing of was developed for solving the disadvantages of these traditional molecular subtyping methods. Firstly, we used the complete genome of strain HKUOPLC as the reference genome and 907 genomes of download from NCBI database as original genome dataset to determine cgMLST target genes. A total of 1,143 genes were retained as cgMLST target genes. Secondly, we used 26 strains from a nosocomial infection outbreak to evaluate the cgMLST scheme. cgMLST enabled clustering of outbreak strains with <10 alleles difference and unambiguous separation from unrelated outgroup strains. Moreover, cgMLST revealed that there may be several sub-clones of epidemic ST11 clone. In conclusion, the novel cgMLST scheme not only showed higher discriminatory power compared with PFGE and MLST in outbreak investigations but also showed ability to reveal more population structure characteristics than MLST.
目前,最常用的分型方法是多位点序列分型(MLST)和脉冲场凝胶电泳(PFGE)。然而,MLST的鉴别能力无法满足区分暴发株和非暴发株的需求,且PFGE耗时费力。为克服这些传统分子分型方法的缺点,开发了一种基于全基因组序列分型的核心基因组多位点序列分型(cgMLST)方案。首先,我们以菌株HKUOPLC的完整基因组作为参考基因组,并将从NCBI数据库下载的907个基因组作为原始基因组数据集,以确定cgMLST目标基因。共保留了1143个基因作为cgMLST目标基因。其次,我们使用来自医院感染暴发的26个菌株评估cgMLST方案。cgMLST能够将暴发菌株聚类,等位基因差异小于10个,并与无关的外部菌株明确分离。此外,cgMLST显示流行的ST11克隆可能存在几个亚克隆。总之,新的cgMLST方案不仅在暴发调查中比PFGE和MLST具有更高的鉴别能力,而且比MLST更能揭示更多的群体结构特征。