TY - JOUR
T1 - Next-Generation Food Research
T2 - Use of Meta-Omic Approaches for Characterizing Microbial Communities Along the Food Chain
AU - Yap, Min
AU - Ercolini, Danilo
AU - Álvarez-Ordóñez, Avelino
AU - O'Toole, Paul W.
AU - O'Sullivan, Orla
AU - Cotter, Paul D.
N1 - Publisher Copyright:
© Annual Review of Food Science and Technology.All rights reserved.
PY - 2022/3/25
Y1 - 2022/3/25
N2 - 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.
AB - 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.
KW - Food microbiome
KW - food-processing environment
KW - high-throughput sequencing
KW - meta-omic approaches
UR - https://www.scopus.com/pages/publications/85128001106
U2 - 10.1146/annurev-food-052720-010751
DO - 10.1146/annurev-food-052720-010751
M3 - Review article
C2 - 34678075
AN - SCOPUS:85128001106
SN - 1941-1413
VL - 13
SP - 361
EP - 384
JO - Annual Review of Food Science and Technology
JF - Annual Review of Food Science and Technology
ER -