Institute of Hygiene, University Hospital Münster, Münster, Germany.
National Reference Center for Clostridium difficile, Münster Branch, Münster, Germany.
J Clin Microbiol. 2018 May 25;56(6). doi: 10.1128/JCM.01987-17. Print 2018 Jun.
, recently renamed , is the most common cause of antibiotic-associated nosocomial gastrointestinal infections worldwide. To differentiate endogenous infections and transmission events, highly discriminatory subtyping is necessary. Today, methods based on whole-genome sequencing data are increasingly used to subtype bacterial pathogens; however, frequently a standardized methodology and typing nomenclature are missing. Here we report a core genome multilocus sequence typing (cgMLST) approach developed for Initially, we determined the breadth of the population based on all available MLST sequence types with Bayesian inference (BAPS). The resulting BAPS partitions were used in combination with clade information to select representative isolates that were subsequently used to define cgMLST target genes. Finally, we evaluated the novel cgMLST scheme with genomes from 3,025 isolates. BAPS grouping ( = 6 groups) together with the clade information led to a total of 11 representative isolates that were included for cgMLST definition and resulted in 2,270 cgMLST genes that were present in all isolates. Overall, 2,184 to 2,268 cgMLST targets were detected in the genome sequences of 70 outbreak-associated and reference strains, and on average 99.3% cgMLST targets (1,116 to 2,270 targets) were present in 2,954 genomes downloaded from the NCBI database, underlining the representativeness of the cgMLST scheme. Moreover, reanalyzing different cluster scenarios with cgMLST were concordant to published single nucleotide variant analyses. In conclusion, the novel cgMLST is representative for the whole population, is highly discriminatory in outbreak situations, and provides a unique nomenclature facilitating interlaboratory exchange.
,最近更名为 ,是全球范围内最常见的抗生素相关性医院胃肠道感染的病原体。为了区分内源性感染和传播事件,需要高度区分的亚型分析。如今,基于全基因组测序数据的方法越来越多地用于细菌病原体的分型;然而,通常缺乏标准化的方法和分型命名法。在这里,我们报告了一种针对 开发的核心基因组多位点序列分型(cgMLST)方法。
首先,我们通过贝叶斯推断(BAPS)确定了所有可用 MLST 序列型的 种群广度。所得的 BAPS 分区与进化枝信息相结合,用于选择代表性的分离株,随后用于定义 cgMLST 靶基因。最后,我们用来自 3025 个分离株的基因组评估了新的 cgMLST 方案。BAPS 分组(=6 组)与进化枝信息相结合,共选择了 11 个代表性分离株,用于 cgMLST 定义,共产生了 2270 个存在于所有分离株中的 cgMLST 基因。
总体而言,在 70 个暴发相关和参考株的基因组序列中检测到 2184 到 2268 个 cgMLST 靶基因,在从 NCBI 数据库下载的 2954 个基因组中平均存在 99.3%的 cgMLST 靶基因(1116 到 2270 个靶基因),突出了 cgMLST 方案的代表性。此外,用 cgMLST 重新分析不同的聚类情况与已发表的单核苷酸变异分析结果一致。总之,新型 cgMLST 代表了整个 种群,在暴发情况下具有高度的区分能力,并提供了一个独特的命名法,便于实验室间的交流。