Department of Food Science, Purdue University, 745 Agriculture Mall Drive, West Lafayette, IN 47907, USA.
Int J Food Microbiol. 2011 Nov 1;150(2-3):140-9. doi: 10.1016/j.ijfoodmicro.2011.07.024. Epub 2011 Aug 6.
Listeria monocytogenes is a widespread foodborne pathogen that represents a major concern with respect to food safety. Rapid identification of this bacterium at a subspecies level is important to trace back an outbreak and improve risk-based inspection programs. A method for subtyping L. monocytogenes at the serotype and haplotype levels was developed using Fourier transform infrared (FT-IR) reflectance microscopy. Thirty strains of L. monocytogenes belonging to four different PCR serotypes (1/2a, 1/2b, 4b, and 4c) that had previously been characterized by Multilocus genotyping (MLGT) and Pulsed field gel electrophoresis (PFGE) assays were used in this study. The FT-IR based identification and classification was compared to the known MLGT and PFGE subtyping of the L. monocytogenes. Canonical variate analysis (CVA) of the spectra resulted in 96.6% correct identification of L. monocytogenes at the serotype level. Hierarchical cluster analysis (HCA) and CVA of the spectra showed 91.7% correct identification of strains at the haplotype level consistent with their MLGT groupings. FT-IR spectra of strains were also differentiated correctly in accordance with their PFGE haplotyping. Additionally, by using HCA of FT-IR spectra, each bacterium was differentiated at the strain level. Starting from a pure culture, this method enabled classification of L. monocytogenes at the serotype, haplotype, and/or strain level within 18 h, which is faster and potentially less expensive than the molecular methods and previous FT-IR methods. This is the first report of the identification of L. monocytogenes at the haplotype level using FT-IR.
李斯特菌是一种广泛存在的食源性病原体,对食品安全构成重大威胁。在亚种下快速鉴定这种细菌对于追溯疫情和改进基于风险的检查计划非常重要。本研究采用傅里叶变换红外(FT-IR)反射显微镜建立了李斯特菌血清型和单倍型分型方法。本研究使用了 30 株李斯特菌,它们属于 4 种不同的 PCR 血清型(1/2a、1/2b、4b 和 4c),此前已通过多位点基因分型(MLGT)和脉冲场凝胶电泳(PFGE)分析进行了特征描述。FT-IR 基于鉴定和分类与李斯特菌的已知 MLGT 和 PFGE 分型进行了比较。对光谱进行典型变量分析(CVA)可在血清型水平上正确识别 96.6%的李斯特菌。对光谱进行层次聚类分析(HCA)和 CVA 表明,91.7%的菌株在单倍型水平上的识别与 MLGT 分组一致。根据 PFGE 单倍型,FT-IR 光谱也正确区分了菌株。此外,通过使用 FT-IR 光谱的 HCA,可以在菌株水平上区分每个细菌。从纯培养物开始,这种方法可以在 18 小时内完成李斯特菌的血清型、单倍型和/或菌株分类,比分子方法和以前的 FT-IR 方法更快且潜在成本更低。这是首次使用 FT-IR 鉴定李斯特菌单倍型的报道。