Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, Maryland 20740, USA.
J Food Prot. 2018 Dec;81(12):2082-2089. doi: 10.4315/0362-028X.JFP-18-093.
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.
食品生产相关设施(农场、包装厂等)会进行食源性致病菌监测,这些设施的数据可以为沙门氏菌和李斯特菌的种群结构和遗传多样性提供丰富的信息来源。这些信息不仅对理解作用于这些生物体的进化力量具有学术意义,而且对负责控制设施中病原体的人员以及在公共卫生决策背景下分析设施数据的人员也具有实际意义。我们收集了美国食品和药物管理局进行的设施检查中所有阳性分离株的信息,这些分离株都有全基因组测序数据。计算了分离株在设施内和设施间的观察遗传多样性,并将其与分离株的共同来源(作为共同采集的设施)相关联。这种关系提供了量化评估基于单核苷酸多态性(SNP)量化的遗传相似性的分离株之间关系的方法。我们的结果表明,如果两个分离株之间的遗传距离(D)较低,则它们很可能来自同一设施,或者它们的供应链存在重叠。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)对于沙门氏菌为 0.66,对于李斯特菌为 0.70。然而,如果两个分离株来自不同的设施,则它们的遗传距离很可能较大(对于沙门氏菌,P(D>20 SNP)= 0.99982;对于李斯特菌,P(D>20 SNP)= 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较大(对于沙门氏菌,P(D>20 SNP)= 0.794;对于李斯特菌,P(D>20 SNP)= 0.692)。这些结果提供了有关确定两个分离株是否来自同一设施时可能合适的 SNP 阈值的见解,因此对调查食源性暴发和进行追溯调查的人员会感兴趣。