Unité de Biologie des Spirochètes, Institut Pasteur, Paris, France.
Methods Mol Biol. 2020;2134:11-21. doi: 10.1007/978-1-0716-0459-5_2.
With the advent of whole-genome sequencing (WGS), comparative analysis has led to the use of core genome MLST (cgMLST) schemes for the high-resolution reproducible typing of bacterial isolates. In cgMLST, hundreds of loci are used for gene-by-gene comparisons of assembled genomes for studying the genetic diversity of clinically important pathogens. Combination of the cgMLST data and metadata of the isolates is useful for epidemiological investigations.Here we present a cgMLST scheme for the high-resolution typing of isolates from the whole Leptospira genus, enabling identification at the level of species, clades, clonal groups, and sequence types. We show several examples how the cgMLST Leptospira database, which is a publicly available web-based database, can be used for the analyses of WGS data of Leptospira isolates. This effort was undertaken in order to facilitate international collaborations and support the global surveillance of leptospirosis.
随着全基因组测序(WGS)的出现,比较分析导致了核心基因组多位点序列分型(cgMLST)方案的使用,以实现细菌分离物的高分辨率可重复分型。在 cgMLST 中,使用数百个基因座对组装基因组进行逐基因比较,以研究临床重要病原体的遗传多样性。将 cgMLST 数据与分离物的元数据相结合,对于流行病学调查很有用。在这里,我们提出了一个用于整个钩端螺旋体属分离物的高分辨率分型的 cgMLST 方案,能够在种、进化枝、克隆群和序列型水平进行鉴定。我们展示了几个示例,说明如何使用 cgMLST 钩端螺旋体数据库,这是一个公开的基于网络的数据库,用于分析钩端螺旋体分离物的 WGS 数据。这项工作是为了促进国际合作和支持全球对钩端螺旋体病的监测。