Laboratoire de Santé Publique du Québec, Sainte-Anne-de-Bellevue, QC, Canada; Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC, Canada.
Laboratoire de Santé Publique du Québec, Sainte-Anne-de-Bellevue, QC, Canada; Department of Food Science and Agricultural Chemistry, Food Safety and Quality Program, McGill University, 21, 211 Lakeshore Dr., Ste Anne de Bellevue, QC, H9X 3V9, Canada.
Food Microbiol. 2018 Aug;73:99-110. doi: 10.1016/j.fm.2018.01.004. Epub 2018 Jan 12.
Salmonella enterica serovar Heidelberg (S. Heidelberg) is one of the top serovars causing human salmonellosis. This serovar ranks second and third among serovars that cause human infections in Québec and Canada, respectively, and has been associated with severe infections. Traditional typing methods such as PFGE do not display adequate discrimination required to resolve outbreak investigations due to the low level of genetic diversity of isolates belonging to this serovar. This study evaluates the ability of four whole genome sequence (WGS)-based typing methods to differentiate among 145 S. Heidelberg strains involved in four distinct outbreak events and sporadic cases of salmonellosis that occurred in Québec between 2007 and 2016. Isolates from all outbreaks were indistinguishable by PFGE. The core genome single nucleotide variant (SNV), core genome multilocus sequence typing (MLST) and whole genome MLST approaches were highly discriminatory and separated outbreak strains into four distinct phylogenetic clusters that were concordant with the epidemiological data. The clustered regularly interspaced short palindromic repeats (CRISPR) typing method was less discriminatory. However, CRISPR typing may be used as a secondary method to differentiate isolates of S. Heidelberg that are genetically similar but epidemiologically unrelated to outbreak events. WGS-based typing methods provide a highly discriminatory alternative to PFGE for the laboratory investigation of foodborne outbreaks.
肠炎沙门氏菌海德堡血清型(S. Heidelberg)是引起人类沙门氏菌病的主要血清型之一。该血清型在导致魁北克省和加拿大人类感染的血清型中分别排名第二和第三,并且与严重感染有关。传统的分型方法,如 PFGE,由于属于该血清型的分离株遗传多样性水平较低,无法显示出解决暴发调查所需的足够区分度。本研究评估了四种基于全基因组序列(WGS)的分型方法在区分 145 株参与 2007 年至 2016 年期间在魁北克发生的四起不同暴发事件和散发性沙门氏菌病病例的能力。所有暴发的分离株在 PFGE 上无法区分。核心基因组单核苷酸变异(SNV)、核心基因组多位点序列分型(MLST)和全基因组 MLST 方法具有高度的区分能力,将暴发菌株分为四个不同的系统发育簇,与流行病学数据一致。成簇规律间隔短回文重复(CRISPR)分型方法的区分能力较低。然而,CRISPR 分型可作为一种次要方法,用于区分在遗传上相似但与暴发事件无流行病学关联的 S. Heidelberg 分离株。WGS 分型方法为食源性暴发的实验室调查提供了一种比 PFGE 更具区分能力的替代方法。