1 Centre for Enteric Diseases, National Institute for Communicable Diseases, Division of the National Health Laboratory Service, Johannesburg, South Africa.
2 Department of Clinical Microbiology and Infectious Diseases, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Foodborne Pathog Dis. 2019 Jul;16(7):524-530. doi: 10.1089/fpd.2018.2586. Epub 2019 May 10.
In South Africa, a progressive increase in listeriosis cases was noted from mid-June 2017, heralding what was to become the world's largest listeriosis outbreak. A total of 1060 cases were reported for the period January 1, 2017 to July 17, 2018. We describe laboratory activities, experiences, and results of whole-genome sequencing (WGS) analysis of s isolates associated with this outbreak. Bacteria were identified using the VITEK-2 COMPACT 15 microbial identification system. WGS was performed using Illumina MiSeq technology. WGS data were analyzed using CLC Genomics Workbench Software and free-to-use on-line analysis tools/pipelines. Multilocus sequence typing (MLST) showed that 91% of clinical isolates were sequence type 6 (ST6), determining that the outbreak was largely associated with s ST6. Epidemiological and laboratory findings led to investigation of a large ready-to-eat processed meat production facility in South Africa, named Enterprise Foods. ST6 was found in environmental sampling swabs of the production facility and in ready-to-eat processed meat products (including polony, a product similar to bologna sausage) manufactured at the facility. ST6 isolates, sourced at the Enterprise Foods production facility and from Enterprise food products, were shown by single nucleotide polymorphism (SNP) analysis to be highly related to clinical isolates; these nonclinical ST6 isolates showed <10 SNP differences when compared to clinical ST6 isolates. Core-genome MLST showed that clinical ST6 isolates and Enterprise-related ST6 isolates had no more than 4 allele differences between each other, suggestive of a high probability of epidemiological relatedness. WGS data interpreted together with epidemiological data concluded that the source of the listeriosis outbreak was ready-to-eat processed meat products manufactured by Enterprise Foods. Listeriosis has now been added to the South African list of mandatory notifiable medical conditions. Surveillance systems have been strengthened to facilitate prevention and early detection of listeriosis outbreaks.
在南非,2017 年 6 月中旬开始注意到李斯特菌病病例呈递增趋势,预示着这将成为世界上最大的李斯特菌病疫情。2017 年 1 月 1 日至 2018 年 7 月 17 日期间共报告了 1060 例病例。我们描述了与此次疫情相关的 s 分离株的实验室活动、经验和全基因组测序(WGS)分析结果。使用 VITEK-2 COMPACT 15 微生物鉴定系统鉴定细菌。使用 Illumina MiSeq 技术进行 WGS。使用 CLC Genomics Workbench 软件和免费的在线分析工具/管道分析 WGS 数据。多位点序列分型(MLST)显示,91%的临床分离株为 6 型(ST6),这表明疫情主要与 s ST6 有关。流行病学和实验室发现促使对南非一家名为 Enterprise Foods 的大型即食加工肉类生产企业进行调查。在该生产设施的环境采样拭子和该设施生产的即食加工肉类产品(包括 polony,一种类似于博洛尼亚香肠的产品)中发现了 ST6。通过单核苷酸多态性(SNP)分析,从 Enterprise Foods 生产设施和 Enterprise 食品中获得的 ST6 分离株与临床分离株高度相关;与临床 ST6 分离株相比,这些非临床 ST6 分离株的 SNP 差异<10。核心基因组 MLST 显示,临床 ST6 分离株和 Enterprise 相关 ST6 分离株之间的等位基因差异不超过 4 个,提示具有高度的流行病学相关性。将 WGS 数据与流行病学数据相结合得出的结论是,李斯特菌病疫情的源头是 Enterprise Foods 生产的即食加工肉类产品。李斯特菌病现已被列入南非强制性报告的法定传染病名单。加强了监测系统,以促进李斯特菌病疫情的预防和早期发现。