Division of Molecular Biology, Center for Food Safety and Applied Nutrition (CFSAN), United States Food and Drug Administration (USFDA), Laurel, MD 20708, USA.
Food Addit Contam Part A Chem Anal Control Expo Risk Assess. 2013;30(8):1422-36. doi: 10.1080/19440049.2012.743192. Epub 2012 Dec 3.
Modern risk control and food safety practices involving food-borne bacterial pathogens are benefiting from new genomic technologies for rapid, yet highly specific, strain characterisations. Within the United States Food and Drug Administration (USFDA) Center for Food Safety and Applied Nutrition (CFSAN), optical genome mapping and DNA microarray genotyping have been used for several years to quickly assess genomic architecture and gene content, respectively, for outbreak strain subtyping and to enhance retrospective trace-back analyses. The application and relative utility of each method varies with outbreak scenario and the suspect pathogen, with comparative analytical power enhanced by database scale and depth. Integration of these two technologies allows high-resolution scrutiny of the genomic landscapes of enteric food-borne pathogens with notable examples including Shiga toxin-producing Escherichia coli (STEC) and Salmonella enterica serovars from a variety of food commodities. Moreover, the recent application of whole genome sequencing technologies to food-borne pathogen outbreaks and surveillance has enhanced resolution to the single nucleotide scale. This new wealth of sequence data will support more refined next-generation custom microarray designs, targeted re-sequencing and "genomic signature recognition" approaches involving a combination of genes and single nucleotide polymorphism detection to distil strain-specific fingerprinting to a minimised scale. This paper examines the utility of microarrays and optical mapping in analysing outbreaks, reviews best practices and the limits of these technologies for pathogen differentiation, and it considers future integration with whole genome sequencing efforts.
现代风险控制和食品安全实践涉及食源性病原体,这些实践得益于新的基因组技术,这些技术可快速且高度特异性地对菌株特征进行分类。在美国食品和药物管理局(USFDA)食品安全和应用营养中心(CFSAN)内,光学基因组图谱和 DNA 微阵列基因分型已被使用多年,分别用于快速评估爆发菌株的分类和增强回溯分析。每种方法的应用和相对效用因爆发情况和可疑病原体而异,数据库的规模和深度增强了比较分析能力。这两种技术的整合允许对肠源性食源性病原体的基因组景观进行高分辨率的检查,其中包括来自各种食品的产志贺毒素大肠杆菌(STEC)和沙门氏菌血清型的显著例子。此外,全基因组测序技术在食源性病原体爆发和监测中的最新应用将分辨率提高到了单个核苷酸的尺度。这些新的大量序列数据将支持更精细的下一代定制微阵列设计、靶向重测序和“基因组特征识别”方法,这些方法涉及结合基因和单核苷酸多态性检测,将菌株特异性指纹提取到最小规模。本文探讨了微阵列和光学图谱在分析爆发中的应用,回顾了这些技术在病原体分化方面的最佳实践和限制,并考虑了与全基因组测序工作的未来整合。