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Application of a strain-level shotgun metagenomics approach on food samples: resolution of the source of a Salmonella food-borne outbreak

机译:一种应变级霰弹枪偏见方法在食品样本中的应用:沙门氏菌食品爆发的来源分辨

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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 Salmonella 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 Salmonella 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 Salmonella was present in both samples, and we obtained an inferred genome of a Salmonella enterica subsp. enterica 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 Salmonella food-borne outbreak investigation uniquely linking the food source using a metagenomics approach and this in a fast time frame.
机译:食品传播疫情调查目前依赖于食物的耗时和挑战细菌分离,能够将食物衍生的菌株联系起来更容易获得来自受感染者的分离物。当不能获得食物分离物时,爆发的来源不能明确确定。应用于食物样品的霰弹枪偏心神经方法可能规避这需要与可疑源的分离,但需要下游应变级数据分析能够准确地链接到人分离物。到目前为止,这种方法尚未应用于外面的研究设置,以分析真正的食物传播疫情样本。 2019年9月,在比利时布鲁日的酒店学校发生了沙门氏菌爆发,影响了200多名学生和老师。在标准程序之后,比利时国家参考中心为人类沙门氏菌素和国家参考实验室为食品和饲料中的沙门氏菌参考实验室使用的常规分析基于分离,血清型和MLVA(多点变量数串联重复分析)比较,其次是全基因组测序,在收到样品后2周内确认污染的来源,这是在学校熟食的一顿饭中新鲜制备的牙垢酱。我们的团队用这种爆发作为案例研究,为源跟踪提供短读应变级霰弹枪射头术方法的概念证明。我们收到了两种嫌疑人的食物样本:全顿饭和一些新鲜的牙茸酱配有这顿饭,需要使用生鸡蛋。经过分析后,我们可以证明在没有隔离的情况下,在两个样品中存在沙门氏菌,我们获得了沙门氏菌肠胚子的推断基因组。肠道肠肠肠道,可以与系统发育树爆发的人类分离物相关联。这些Metagenomics衍生的爆发菌株与散发病例分开,以及同时在欧洲循环的另一个爆发。这是我们的知识,第一次沙门氏菌食品传播疫情调查使用MetageNomics方法独特地将食物来源与快速时间框架联系起来。

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