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下一代食品研究:利用元组学方法表征食物链中的微生物群落

Next-Generation Food Research: Use of Meta-Omic Approaches for Characterizing Microbial Communities Along the Food Chain.

作者信息

Yap Min, Ercolini Danilo, Álvarez-Ordóñez Avelino, O'Toole Paul W, O'Sullivan Orla, Cotter Paul D

机构信息

Teagasc Food Research Centre, Moorepark, Fermoy, County Cork, Ireland; email:

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

出版信息

Annu Rev Food Sci Technol. 2022 Mar 25;13:361-384. doi: 10.1146/annurev-food-052720-010751. Epub 2021 Oct 22.

Abstract

Microorganisms exist along the food chain and impact the quality and safety of foods in both positive and negative ways. Identifying and understanding the behavior of these microbial communities enable the implementation of preventative or corrective measures in public health and food industry settings. Current culture-dependent microbial analyses are time-consuming and target only specific subsets of microbes. However, the greater use of culture-independent meta-omic approaches has the potential to facilitate a thorough characterization of the microbial communities along the food chain. Indeed, these methods have shown potential in contributing to outbreak investigation, ensuring food authenticity, assessing the spread ofantimicrobial resistance, tracking microbial dynamics during fermentation and processing, and uncovering the factors along the food chain that impact food quality and safety. This review examines the community-based approaches, and particularly the application of sequencing-based meta-omics strategies, for characterizing microbial communities along the food chain.

摘要

微生物存在于食物链中,对食品质量和安全有着正反两方面的影响。识别并了解这些微生物群落的行为,有助于在公共卫生和食品工业环境中实施预防或纠正措施。当前依赖培养的微生物分析方法耗时且只能针对特定的微生物子集。然而,更多地使用不依赖培养的宏组学方法有潜力促进对食物链中微生物群落的全面表征。事实上,这些方法已显示出在暴发调查、确保食品真实性、评估抗菌药物耐药性传播、追踪发酵和加工过程中的微生物动态以及揭示食物链中影响食品质量和安全的因素等方面的潜力。本综述探讨了基于群落的方法,特别是基于测序的宏组学策略在表征食物链中微生物群落方面的应用。

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