Min Yap, Danilo Ercolini, Avelino Álvarez-Ordóñez, Paul W O'Toole, Orla O'Sullivan, Paul D Cotter
{"title":"下一代食品研究:利用元组学方法表征食物链上的微生物群落。","authors":"Min Yap, Danilo Ercolini, Avelino Álvarez-Ordóñez, Paul W O'Toole, Orla O'Sullivan, Paul D Cotter","doi":"10.1146/annurev-food-052720-010751","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":8187,"journal":{"name":"Annual review of food science and technology","volume":"13 ","pages":"361-384"},"PeriodicalIF":10.6000,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Next-Generation Food Research: Use of Meta-Omic Approaches for Characterizing Microbial Communities Along the Food Chain.\",\"authors\":\"Min Yap, Danilo Ercolini, Avelino Álvarez-Ordóñez, Paul W O'Toole, Orla O'Sullivan, Paul D Cotter\",\"doi\":\"10.1146/annurev-food-052720-010751\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":8187,\"journal\":{\"name\":\"Annual review of food science and technology\",\"volume\":\"13 \",\"pages\":\"361-384\"},\"PeriodicalIF\":10.6000,\"publicationDate\":\"2022-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual review of food science and technology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1146/annurev-food-052720-010751\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/10/22 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual review of food science and technology","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1146/annurev-food-052720-010751","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/10/22 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Next-Generation Food Research: Use of Meta-Omic Approaches 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 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.
期刊介绍:
Since 2010, the Annual Review of Food Science and Technology has been a key source for current developments in the multidisciplinary field. The covered topics span food microbiology, food-borne pathogens, and fermentation; food engineering, chemistry, biochemistry, rheology, and sensory properties; novel ingredients and nutrigenomics; emerging technologies in food processing and preservation; and applications of biotechnology and nanomaterials in food systems.