Borucki Monica K, Kim So Hyun, Call Douglas R, Smole Sandra C, Pagotto Franco
Animal Research Unit, USDA Agricultural Research Service, Pullman, WA 99164-6630, USA.
J Clin Microbiol. 2004 Nov;42(11):5270-6. doi: 10.1128/JCM.42.11.5270-5276.2004.
Listeria monocytogenes can cause serious illness in humans, and subsequent epidemiological investigation requires molecular characterization to allow the identification of specific isolates. L. monocytogenes is usually characterized by serotyping and is subtyped by using pulsed-field gel electrophoresis (PFGE) or ribotyping. DNA microarrays provide an alternative means to resolve genetic differences among isolates, and unlike PFGE and ribotyping, microarrays can be used to identify specific genes associated with strains of interest. Twenty strains of L. monocytogenes representing six serovars were used to generate a shotgun library, and subsequently a 629-probe microarray was constructed by using features that included only potentially polymorphic gene probe sequences. Fifty-two strains of L. monocytogenes were genotyped by using the condensed array, including strains associated with five major listeriosis epidemics. Cluster analysis of the microarray data grouped strains according to phylogenetic lineage and serotype. Most epidemiologically linked strains were grouped together, and subtyping resolution was the same as that with PFGE (using AscI and ApaI) and better than that with multilocus sequence typing (using six housekeeping genes) and ribotyping. Additionally, a majority of epidemic strains were grouped together within phylogenetic Division I. This epidemic cluster was clearly distinct from the two other Division I clusters, which encompassed primarily sporadic and environmental strains. Discriminant function analysis allowed identification of 22 probes from the mixed-genome array that distinguish serotypes and subtypes, including several potential markers that were distinct for the epidemic cluster. Many of the subtype-specific genes encode proteins that likely confer survival advantages in the environment and/or host.
单核细胞增生李斯特菌可导致人类严重疾病,后续的流行病学调查需要进行分子特征分析,以便识别特定菌株。单核细胞增生李斯特菌通常通过血清分型进行特征分析,并使用脉冲场凝胶电泳(PFGE)或核糖体分型进行亚型分析。DNA微阵列提供了一种解析菌株间遗传差异的替代方法,与PFGE和核糖体分型不同,微阵列可用于识别与感兴趣菌株相关的特定基因。使用代表六个血清型的20株单核细胞增生李斯特菌构建了一个鸟枪法文库,随后通过使用仅包含潜在多态性基因探针序列的特征构建了一个629探针的微阵列。使用浓缩阵列对52株单核细胞增生李斯特菌进行基因分型,包括与五次主要李斯特菌病流行相关的菌株。对微阵列数据进行聚类分析,根据系统发育谱系和血清型对菌株进行分组。大多数在流行病学上相关的菌株被归为一组,亚型分析分辨率与PFGE(使用AscI和ApaI)相同,且优于多位点序列分型(使用六个管家基因)和核糖体分型。此外,大多数流行菌株在系统发育I组内归为一组。这个流行簇与其他两个I组簇明显不同,其他两个I组簇主要包括散发病例和环境菌株。判别函数分析允许从混合基因组阵列中识别出22个区分血清型和亚型的探针,包括几个对流行簇具有特异性的潜在标记。许多亚型特异性基因编码的蛋白质可能在环境和/或宿主中赋予生存优势。