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NGS-based barcoding with mini-COI gene target is useful for pet food market surveys aimed at mislabelling detection
Pet food industry has grown considerably in the last few years and it is expected to continue with this rate. Despite the economic impact of this sector and the consumer concerns for the increasing number of food and feed adulteration cases, few studies have been published on mislabelling in pet foo...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575603/ https://www.ncbi.nlm.nih.gov/pubmed/33082418 http://dx.doi.org/10.1038/s41598-020-74918-9 |
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author | Palumbo, Fabio Scariolo, Francesco Vannozzi, Alessandro Barcaccia, Gianni |
author_facet | Palumbo, Fabio Scariolo, Francesco Vannozzi, Alessandro Barcaccia, Gianni |
author_sort | Palumbo, Fabio |
collection | PubMed |
description | Pet food industry has grown considerably in the last few years and it is expected to continue with this rate. Despite the economic impact of this sector and the consumer concerns for the increasing number of food and feed adulteration cases, few studies have been published on mislabelling in pet foods. We therefore investigated the capability of a next generation sequencing-based mini-barcoding approach to identify animal species in pet food products. In a preliminary analysis, a 127 bp fragment of the COI gene was tested on both individual specimens and ad hoc mixed fresh samples used as testers, to evaluate its discrimination power and primers effectiveness. Eighteen pet food products of different price categories and forms available on the market (i.e. kibbles, bites, pâté and strips) were analysed through an NGS approach in biological replicates. At least one of the species listed in the ingredients was not detected in half of the products, while seven products showed supplementary species in addition to those stated on the label. Due to the accuracy, sensitivity and specificity demonstrated, this method can be proposed as food genetic traceability system to evaluate both the feed and food quality timely along the supply chain. |
format | Online Article Text |
id | pubmed-7575603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75756032020-10-21 NGS-based barcoding with mini-COI gene target is useful for pet food market surveys aimed at mislabelling detection Palumbo, Fabio Scariolo, Francesco Vannozzi, Alessandro Barcaccia, Gianni Sci Rep Article Pet food industry has grown considerably in the last few years and it is expected to continue with this rate. Despite the economic impact of this sector and the consumer concerns for the increasing number of food and feed adulteration cases, few studies have been published on mislabelling in pet foods. We therefore investigated the capability of a next generation sequencing-based mini-barcoding approach to identify animal species in pet food products. In a preliminary analysis, a 127 bp fragment of the COI gene was tested on both individual specimens and ad hoc mixed fresh samples used as testers, to evaluate its discrimination power and primers effectiveness. Eighteen pet food products of different price categories and forms available on the market (i.e. kibbles, bites, pâté and strips) were analysed through an NGS approach in biological replicates. At least one of the species listed in the ingredients was not detected in half of the products, while seven products showed supplementary species in addition to those stated on the label. Due to the accuracy, sensitivity and specificity demonstrated, this method can be proposed as food genetic traceability system to evaluate both the feed and food quality timely along the supply chain. Nature Publishing Group UK 2020-10-20 /pmc/articles/PMC7575603/ /pubmed/33082418 http://dx.doi.org/10.1038/s41598-020-74918-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Palumbo, Fabio Scariolo, Francesco Vannozzi, Alessandro Barcaccia, Gianni NGS-based barcoding with mini-COI gene target is useful for pet food market surveys aimed at mislabelling detection |
title | NGS-based barcoding with mini-COI gene target is useful for pet food market surveys aimed at mislabelling detection |
title_full | NGS-based barcoding with mini-COI gene target is useful for pet food market surveys aimed at mislabelling detection |
title_fullStr | NGS-based barcoding with mini-COI gene target is useful for pet food market surveys aimed at mislabelling detection |
title_full_unstemmed | NGS-based barcoding with mini-COI gene target is useful for pet food market surveys aimed at mislabelling detection |
title_short | NGS-based barcoding with mini-COI gene target is useful for pet food market surveys aimed at mislabelling detection |
title_sort | ngs-based barcoding with mini-coi gene target is useful for pet food market surveys aimed at mislabelling detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7575603/ https://www.ncbi.nlm.nih.gov/pubmed/33082418 http://dx.doi.org/10.1038/s41598-020-74918-9 |
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