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利用下一代测序技术提高食品安全:实践转化。

The use of next generation sequencing for improving food safety: Translation into practice.

机构信息

Nestlé Research, Nestec Ltd, Route du Jorat 57, Vers-chez-les-Blanc, CH-1000, Lausanne 26, Switzerland.

Centers for Disease Control and Prevention, MS-CO-3, 1600 Clifton Road, 30329-4027, Atlanta, USA.

出版信息

Food Microbiol. 2019 Jun;79:96-115. doi: 10.1016/j.fm.2018.11.005. Epub 2018 Nov 17.

Abstract

Next Generation Sequencing (NGS) combined with powerful bioinformatic approaches are revolutionising food microbiology. Whole genome sequencing (WGS) of single isolates allows the most detailed comparison possible hitherto of individual strains. The two principle approaches for strain discrimination, single nucleotide polymorphism (SNP) analysis and genomic multi-locus sequence typing (MLST) are showing concordant results for phylogenetic clustering and are complementary to each other. Metabarcoding and metagenomics, applied to total DNA isolated from either food materials or the production environment, allows the identification of complete microbial populations. Metagenomics identifies the entire gene content and when coupled to transcriptomics or proteomics, allows the identification of functional capacity and biochemical activity of microbial populations. The focus of this review is on the recent use and future potential of NGS in food microbiology and on current challenges. Guidance is provided for new users, such as public health departments and the food industry, on the implementation of NGS and how to critically interpret results and place them in a broader context. The review aims to promote the broader application of NGS technologies within the food industry as well as highlight knowledge gaps and novel applications of NGS with the aim of driving future research and increasing food safety outputs from its wider use.

摘要

下一代测序(NGS)与强大的生物信息学方法相结合,正在彻底改变食品微生物学。对单个分离物进行全基因组测序(WGS)可迄今为止对单个菌株进行最详细的比较。两种主要的菌株鉴别方法,单核苷酸多态性(SNP)分析和基因组多位点序列分型(MLST),在系统发育聚类方面显示出一致的结果,并且相互补充。代谢组学和宏基因组学,应用于从食品材料或生产环境中分离的总 DNA,可识别完整的微生物种群。宏基因组学可识别整个基因组成,当与转录组学或蛋白质组学结合使用时,可识别微生物种群的功能能力和生化活性。本综述的重点是 NGS 在食品微生物学中的最新应用和未来潜力,以及当前的挑战。为新用户,如公共卫生部门和食品工业,提供了关于 NGS 的实施以及如何批判性地解释结果并将其置于更广泛的背景下的指导。本综述旨在促进 NGS 技术在食品工业中的更广泛应用,并强调 NGS 的知识空白和新应用,以推动未来的研究并提高其更广泛应用的食品安全产出。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8ec/6492263/9356479733ea/nihms-1021266-f0001.jpg

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