Transversal Activities in Applied Genomics, Sciensano, Brussels, Belgium.
Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
Microb Genom. 2021 Apr;7(4). doi: 10.1099/mgen.0.000547.
Food-borne outbreak investigation currently relies on the time-consuming and challenging bacterial isolation from food, to be able to link food-derived strains to more easily obtained isolates from infected people. When no food isolate can be obtained, the source of the outbreak cannot be unambiguously determined. Shotgun metagenomics approaches applied to the food samples could circumvent this need for isolation from the suspected source, but require downstream strain-level data analysis to be able to accurately link to the human isolate. Until now, this approach has not yet been applied outside research settings to analyse real food-borne outbreak samples. In September 2019, a outbreak occurred in a hotel school in Bruges, Belgium, affecting over 200 students and teachers. Following standard procedures, the Belgian National Reference Center for human salmonellosis and the National Reference Laboratory for in food and feed used conventional analysis based on isolation, serotyping and MLVA (multilocus variable number tandem repeat analysis) comparison, followed by whole-genome sequencing, to confirm the source of the contamination over 2 weeks after receipt of the sample, which was freshly prepared tartar sauce in a meal cooked at the school. Our team used this outbreak as a case study to deliver a proof of concept for a short-read strain-level shotgun metagenomics approach for source tracking. We received two suspect food samples: the full meal and some freshly made tartar sauce served with this meal, requiring the use of raw eggs. After analysis, we could prove, without isolation, that was present in both samples, and we obtained an inferred genome of a subsp. serovar Enteritidis that could be linked back to the human isolates of the outbreak in a phylogenetic tree. These metagenomics-derived outbreak strains were separated from sporadic cases as well as from another outbreak circulating in Europe at the same time period. This is, to our knowledge, the first food-borne outbreak investigation uniquely linking the food source using a metagenomics approach and this in a fast time frame.
食源性疾病暴发调查目前依赖于从食物中耗时且具有挑战性的细菌分离,以便能够将食源菌株与更容易从感染人群中获得的分离株联系起来。当无法获得食物分离株时,暴发的源头就无法明确确定。应用于食物样本的宏基因组学方法可以避免这种从可疑来源进行分离的需求,但需要进行下游菌株水平数据分析,以便能够准确地与人类分离株联系起来。直到现在,这种方法尚未在研究环境之外应用于分析真实的食源性暴发样本。2019 年 9 月,比利时布鲁日的一所酒店学校发生了一起暴发事件,影响了 200 多名学生和教师。按照标准程序,比利时人类沙门氏菌病国家参考中心和国家食品和饲料中 参考实验室使用传统的分析方法,基于分离、血清型和 MLVA(多位点可变串联重复分析)比较进行分析,然后进行全基因组测序,在收到样本后两周多的时间里确认了污染的来源,样本是学校烹饪的一顿饭中新鲜准备的鞑靼酱。我们的团队将此次暴发作为案例研究,提供了一种用于源追踪的短读长菌株水平宏基因组学方法的概念验证。我们收到了两份可疑食物样本:完整的餐食和一些与这顿饭一起供应的新鲜鞑靼酱,这需要使用生鸡蛋。经过分析,我们可以证明,无需分离,即可在这两个样本中均发现 ,我们获得了一个可以追溯到暴发中人类分离株的 亚亚种 肠炎沙门氏菌的推断基因组。这些宏基因组衍生的暴发菌株与散发性病例以及同一时期在欧洲流行的另一起暴发分离。据我们所知,这是首次使用宏基因组学方法独特地将食物来源与暴发联系起来,并且在短时间内完成。