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  <rdf:Description rdf:about="https://doi.org/10.1146/annurev-food-052720-010751">
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    <dct:references>https://www.annualreviews.org/doi/pdf/10.1146/annurev-food-052720-010751</dct:references>
    <dct:references>https://doi.org/10.1146/annurev-food-052720-010751</dct:references>
    <dcat:downloadURL rdf:resource="https://www.annualreviews.org/doi/pdf/10.1146/annurev-food-052720-010751"/>
    <dct:isPartOf>Annual Review of Food Science and Technology</dct:isPartOf>
    <dct:license>Open Access</dct:license>
    <dct:created>2021-10-22</dct:created>
    <dct:available>2022-07-13</dct:available>
    <dc:description>&lt;p&gt; 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. &lt;/p&gt;</dc:description>
    <dc:subject>0301 basic medicine</dc:subject>
    <dc:subject>2. Zero hunger</dc:subject>
    <dc:subject>0303 health sciences</dc:subject>
    <dc:subject>High-throughput sequencing</dc:subject>
    <dc:subject>Food Chain</dc:subject>
    <dc:subject>Food microbiome</dc:subject>
    <dc:subject>Microbiota</dc:subject>
    <dc:subject>high-throughput sequencing</dc:subject>
    <dc:subject>Meta-omic approaches</dc:subject>
    <dc:subject>food processing environment</dc:subject>
    <dc:subject>3. Good health</dc:subject>
    <dc:subject>meta-omic approaches</dc:subject>
    <dc:subject>03 medical and health sciences</dc:subject>
    <dc:subject>food-processing environment</dc:subject>
    <dc:subject>food microbiome; food-processing environment; high-throughput sequencing; meta-omic approaches; Fermentation; Food Industry; Food Chain; Microbiota</dc:subject>
    <dc:subject>food microbiome</dc:subject>
    <dc:subject>Fermentation</dc:subject>
    <dc:subject>Food Industry</dc:subject>
    <dc:subject>Food-processing environment</dc:subject>
    <dc:creator rdf:resource="https://orcid.org/0000-0002-0410-4611"/>
    <dc:creator>Yap M., Ercolini D., Alvarez-Ordonez A., O'Toole P. W., O'Sullivan O., Cotter P. D., </dc:creator>
    <dc:date>2022-03-25</dc:date>
    <dc:type>journalpaper</dc:type>
    <dct:abstract>&lt;p&gt; 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. &lt;/p&gt;</dct:abstract>
    <dc:title>Next-generation food research: Use of meta-omic approaches for characterizing microbial communities along the food chain</dc:title>
    <dc:identifier>10.1146/annurev-food-052720-010751</dc:identifier>
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