期刊
ANNUAL REVIEW OF FOOD SCIENCE AND TECHNOLOGY
卷 13, 期 -, 页码 361-384出版社
ANNUAL REVIEWS
DOI: 10.1146/annurev-food-052720-010751
关键词
food microbiome; food-processing environment; meta-omic approaches; high-throughput sequencing
资金
- Irish Dairy Levy
- Science Foundation Ireland (SFI) [SFI/12/RC/2273]
- Irish Department of Agriculture, Food and the Marine [SFI/16/RC/3835]
- European Commission [818368]
- SFI
This article introduces a community-based method, particularly the application of sequencing-based meta-omics strategies, for characterizing microbial communities along the food chain.
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 of antimicrobial 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.
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