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Genetic Diversity of Salmonella and Listens Isolates from Food Facilities

机译:沙门氏菌的遗传多样性和食品设施的分离株

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Food production-related facilities (farms, packing houses, etc.) are monitored for foodborne pathogens, and data from these facilities can provide a rich source of information about the population structure and genetic diversity of Salmonella and Listeria. This information is of both academic interest for understanding the evolutionary forces acting on these organisms and of practical interest to those responsible for controlling pathogens in facilities and to those analyzing data from facilities in the context of public health decision making. We have collected information about all positive isolates from facility inspections performed by the U.S. Food and Drug Administration for which whole genome sequencing data are available. The within- and between-facilities observed genetic diversity of isolates was computed and related to the common origin of isolates (as the common collected facility). This relationship provides quantification for assessing the relationship between isolates based on their genetic similarity quantified by single-nucleotide polymorphisms (SNPs). Our results show that if the genetic distance (D) between two isolates is low, then more likely than not they are from the same facility or have some overlap in their supply chain. For example, if the genetic distance is no more than 20 SNPs, the probability (P) that two isolates come from the same facility = 0.66 for Salmonella and 0.70 for Listeria. However, if two isolates come from different facilities, their genetic distance is likely large (for Salmonella, P(D 20 SNPs) = 0.99982; for Listeria, P(D 20 SNPs) = 0.99949); even if two isolates come from the same facility, their genetic distance is also very likely large (for Salmonella, P(D 20 SNPs) = 0.794; for Listeria, P(D 20 SNPs) = 0.692). These results provide insight into what SNP thresholds might be appropriate when determining whether two isolates are from the same facility and thus would be of interest to those investigating foodborne outbreaks and conducting traceback investigations.
机译:监测与食品生产相关的设施(农场,包装厂等)中的食源性病原体,这些设施中的数据可以提供有关沙门氏菌和李斯特菌的种群结构和遗传多样性的丰富信息来源。该信息对于了解作用在这些生物体上的进化力具有学术意义,对于负责控制设施中病原体的人员以及在公共卫生决策中分析设施数据的人员也具有实际意义。我们已从美国食品药品监督管理局进行的设施检查中收集了有关所有阳性分离物的信息,该数据库可获得完整的基因组测序数据。计算了设施内和设施间观察到的分离株的遗传多样性,并将其与分离株的共同起源(作为共同收集的设施)相关。这种关系为基于单核苷酸多态性(SNP)量化的遗传相似性提供了评估分离株之间关系的定量方法。我们的结果表明,如果两个分离株之间的遗传距离(D)低,则它们很有可能来自同一设施,或在其供应链中存在某些重叠。例如,如果遗传距离不超过20个SNP,则两个分离株来自同一设施的概率(P):沙门氏菌为0.66,李斯特菌为0.70。但是,如果两个分离株来自不同的设施,则它们的遗传距离可能很大(沙门氏菌,P(D> 20 SNPs)= 0.99982;李斯特菌,P(D> 20 SNPs)= 0.99949);即使两个分离株来自同一设施,它们的遗传距离也很可能很大(沙门氏菌,P(D> 20 SNPs)= 0.794;李斯特菌,P(D> 20 SNPs)= 0.692)。这些结果提供了在确定两个分离株是否来自同一设施时适合哪些SNP阈值的见解,因此对于那些调查食源性暴发和进行追溯调查的人们将很感兴趣。

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