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Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies

The Next Generation Sequencing (NGS) technologies represent a turning point in the food inspection field, particularly for species identification in matrices composed of a blend of two or more species. In this study NGS technologies were applied by testing the usefulness of the Ion Torrent Personal...

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Detalles Bibliográficos
Autores principales: Giusti, Alice, Armani, Andrea, Sotelo, Carmen G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5624605/
https://www.ncbi.nlm.nih.gov/pubmed/28968423
http://dx.doi.org/10.1371/journal.pone.0185586
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author Giusti, Alice
Armani, Andrea
Sotelo, Carmen G.
author_facet Giusti, Alice
Armani, Andrea
Sotelo, Carmen G.
author_sort Giusti, Alice
collection PubMed
description The Next Generation Sequencing (NGS) technologies represent a turning point in the food inspection field, particularly for species identification in matrices composed of a blend of two or more species. In this study NGS technologies were applied by testing the usefulness of the Ion Torrent Personal Genome Machine (PGM) in seafood traceability. Sixteen commercial surimi samples produced both in EU and non-EU countries were analysed. Libraries were prepared using a universal primer pair able to amplify a short 16SrRNA fragment from a wide range of fish and cephalopod species. The mislabelling rate of the samples was also evaluated. Overall, DNA from 13 families, 19 genera and 16 species of fish, and from 3 families, 3 genera and 3 species of cephalopods was found with the analysis. Samples produced in non-EU countries exhibited a higher variability in their composition. 37.5% of the surimi products were found to be mislabelled. Among them, 25% voluntary declared a species different from those identified and 25% (all produced in non-EU countries) did not report the presence of molluscs on the label, posing a potential health threat for allergic consumers. The use of vulnerable species was also proved. Although the protocol should be further optimized, PGM platform proved to be a useful tool for the analysis of complex, highly processed products.
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spelling pubmed-56246052017-10-17 Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies Giusti, Alice Armani, Andrea Sotelo, Carmen G. PLoS One Research Article The Next Generation Sequencing (NGS) technologies represent a turning point in the food inspection field, particularly for species identification in matrices composed of a blend of two or more species. In this study NGS technologies were applied by testing the usefulness of the Ion Torrent Personal Genome Machine (PGM) in seafood traceability. Sixteen commercial surimi samples produced both in EU and non-EU countries were analysed. Libraries were prepared using a universal primer pair able to amplify a short 16SrRNA fragment from a wide range of fish and cephalopod species. The mislabelling rate of the samples was also evaluated. Overall, DNA from 13 families, 19 genera and 16 species of fish, and from 3 families, 3 genera and 3 species of cephalopods was found with the analysis. Samples produced in non-EU countries exhibited a higher variability in their composition. 37.5% of the surimi products were found to be mislabelled. Among them, 25% voluntary declared a species different from those identified and 25% (all produced in non-EU countries) did not report the presence of molluscs on the label, posing a potential health threat for allergic consumers. The use of vulnerable species was also proved. Although the protocol should be further optimized, PGM platform proved to be a useful tool for the analysis of complex, highly processed products. Public Library of Science 2017-10-02 /pmc/articles/PMC5624605/ /pubmed/28968423 http://dx.doi.org/10.1371/journal.pone.0185586 Text en © 2017 Giusti et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Giusti, Alice
Armani, Andrea
Sotelo, Carmen G.
Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies
title Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies
title_full Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies
title_fullStr Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies
title_full_unstemmed Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies
title_short Advances in the analysis of complex food matrices: Species identification in surimi-based products using Next Generation Sequencing technologies
title_sort advances in the analysis of complex food matrices: species identification in surimi-based products using next generation sequencing technologies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5624605/
https://www.ncbi.nlm.nih.gov/pubmed/28968423
http://dx.doi.org/10.1371/journal.pone.0185586
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