Didelot Xavier, Urwin Rachel, Maiden Martin C J, Falush Daniel
Department of Statistics, University of Warwick, UK.
Department of Biology, Pennsylvania State University, USA.
Microbiology (Reading). 2009 Oct;155(Pt 10):3176-3186. doi: 10.1099/mic.0.031534-0. Epub 2009 Jul 30.
Despite the increasing popularity of multilocus sequence typing (MLST), the most appropriate method for characterizing bacterial variation and facilitating epidemiological investigations remains a matter of debate. Here, we propose that different typing schemes should be compared on the basis of their power to infer clonal relationships and investigate the utility of sequence data for genealogical reconstruction by exploiting new statistical tools and data from 20 housekeeping loci for 93 isolates of the bacterial pathogen Neisseria meningitidis. Our analysis demonstrated that all but one of the hyperinvasive isolates established by multilocus enzyme electrophoresis and MLST were grouped into one of six genealogical lineages, each of which contained substantial variation. Due to the confounding effect of recombination, evolutionary relationships among these lineages remained unclear, even using 20 loci. Analyses of the seven loci in the standard MLST scheme using the same methods reproduced this classification, but were unable to support finer inferences concerning the relationships between the members within each complex.
尽管多位点序列分型(MLST)越来越受欢迎,但用于表征细菌变异和促进流行病学调查的最合适方法仍存在争议。在此,我们建议应基于推断克隆关系的能力对不同的分型方案进行比较,并通过利用新的统计工具以及来自细菌病原体脑膜炎奈瑟菌93株分离株的20个管家基因座的数据,研究序列数据在谱系重建中的效用。我们的分析表明,通过多位点酶电泳和MLST确定的除一株之外的所有高侵袭性分离株都被归入六个谱系之一,每个谱系都包含大量变异。由于重组的混杂效应,即使使用20个基因座,这些谱系之间进化关系仍不清楚。使用相同方法对标准MLST方案中的七个基因座进行分析重现了这一分类,但无法支持关于每个复合体中成员之间关系的更精细推断。