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基于宏基因组学的监测与诊断方法在食品生产和加工环境微生物生态学研究中的应用

Metagenome-based surveillance and diagnostic approaches to studying the microbial ecology of food production and processing environments.

作者信息

Doyle Conor J, O'Toole Paul W, Cotter Paul D

机构信息

Teagasc Food Research Centre, Moorepark, Fermoy, Cork, Ireland.

School of Microbiology, University College Cork, Cork, Ireland.

出版信息

Environ Microbiol. 2017 Nov;19(11):4382-4391. doi: 10.1111/1462-2920.13859. Epub 2017 Sep 14.

Abstract

Metagenomic-based analyses have the potential to revolutionize our understanding of the microbiology of food production and processing environments. By adopting such approaches, it will be possible to more accurately determine sources of microbial contamination, identify critical control points for such contaminants, and select practices that optimize quality and safety. This mini-review will discuss the merits of adopting metagenostic-based approaches, highlight novel insights that they have provided to date and consider how they could be further implemented.

摘要

基于宏基因组学的分析有潜力彻底改变我们对食品生产和加工环境微生物学的理解。通过采用这些方法,将有可能更准确地确定微生物污染的来源,识别此类污染物的关键控制点,并选择优化质量和安全性的做法。本综述将讨论采用基于宏基因组学方法的优点,强调它们迄今所提供的新见解,并考虑如何进一步实施这些方法。

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