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Next-Generation Food Research: Use of Meta-Omic Approaches for Characterizing Microbial Communities Along the Food Chain.
Yap, Min; Ercolini, Danilo; Álvarez-Ordóñez, Avelino; O'Toole, Paul W; O'Sullivan, Orla; Cotter, Paul D.
Afiliação
  • Yap M; Teagasc Food Research Centre, Moorepark, Fermoy, County Cork, Ireland; email: paul.cotter@teagasc.ie.
  • Ercolini D; School of Microbiology, University College Cork, County Cork, Ireland.
  • Álvarez-Ordóñez A; Department of Agricultural Sciences, University of Naples Federico II, Portici, Italy.
  • O'Toole PW; Task Force on Microbiome Studies, University of Naples Federico II, Naples, Italy.
  • O'Sullivan O; Department of Food Hygiene and Technology, Universidad de León, León, Spain.
  • Cotter PD; Institute of Food Science and Technology, Universidad de León, León, Spain.
Annu Rev Food Sci Technol ; 13: 361-384, 2022 03 25.
Article em En | MEDLINE | ID: mdl-34678075
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cadeia Alimentar / Microbiota Tipo de estudo: Prognostic_studies Idioma: En Revista: Annu Rev Food Sci Technol Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cadeia Alimentar / Microbiota Tipo de estudo: Prognostic_studies Idioma: En Revista: Annu Rev Food Sci Technol Ano de publicação: 2022 Tipo de documento: Article