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Detection and identification of transgenic events by next generation sequencing combined with enrichment technologies
Next generation sequencing (NGS) is a promising tool for analysing the quality and safety of food and feed products. The detection and identification of genetically modified organisms (GMOs) is complex, as the diversity of transgenic events and types of structural elements introduced in plants conti...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821802/ https://www.ncbi.nlm.nih.gov/pubmed/31666537 http://dx.doi.org/10.1038/s41598-019-51668-x |
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author | Debode, Frédéric Hulin, Julie Charloteaux, Benoît Coppieters, Wouter Hanikenne, Marc Karim, Latifa Berben, Gilbert |
author_facet | Debode, Frédéric Hulin, Julie Charloteaux, Benoît Coppieters, Wouter Hanikenne, Marc Karim, Latifa Berben, Gilbert |
author_sort | Debode, Frédéric |
collection | PubMed |
description | Next generation sequencing (NGS) is a promising tool for analysing the quality and safety of food and feed products. The detection and identification of genetically modified organisms (GMOs) is complex, as the diversity of transgenic events and types of structural elements introduced in plants continue to increase. In this paper, we show how a strategy that combines enrichment technologies with NGS can be used to detect a large panel of structural elements and partially or completely reconstruct the new sequence inserted into the plant genome in a single analysis, even at low GMO percentages. The strategy of enriching sequences of interest makes the approach applicable even to mixed products, which was not possible before due to insufficient coverage of the different genomes present. This approach is also the first step towards a more complete characterisation of agrifood products in a single analysis. |
format | Online Article Text |
id | pubmed-6821802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68218022019-11-05 Detection and identification of transgenic events by next generation sequencing combined with enrichment technologies Debode, Frédéric Hulin, Julie Charloteaux, Benoît Coppieters, Wouter Hanikenne, Marc Karim, Latifa Berben, Gilbert Sci Rep Article Next generation sequencing (NGS) is a promising tool for analysing the quality and safety of food and feed products. The detection and identification of genetically modified organisms (GMOs) is complex, as the diversity of transgenic events and types of structural elements introduced in plants continue to increase. In this paper, we show how a strategy that combines enrichment technologies with NGS can be used to detect a large panel of structural elements and partially or completely reconstruct the new sequence inserted into the plant genome in a single analysis, even at low GMO percentages. The strategy of enriching sequences of interest makes the approach applicable even to mixed products, which was not possible before due to insufficient coverage of the different genomes present. This approach is also the first step towards a more complete characterisation of agrifood products in a single analysis. Nature Publishing Group UK 2019-10-30 /pmc/articles/PMC6821802/ /pubmed/31666537 http://dx.doi.org/10.1038/s41598-019-51668-x Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Debode, Frédéric Hulin, Julie Charloteaux, Benoît Coppieters, Wouter Hanikenne, Marc Karim, Latifa Berben, Gilbert Detection and identification of transgenic events by next generation sequencing combined with enrichment technologies |
title | Detection and identification of transgenic events by next generation sequencing combined with enrichment technologies |
title_full | Detection and identification of transgenic events by next generation sequencing combined with enrichment technologies |
title_fullStr | Detection and identification of transgenic events by next generation sequencing combined with enrichment technologies |
title_full_unstemmed | Detection and identification of transgenic events by next generation sequencing combined with enrichment technologies |
title_short | Detection and identification of transgenic events by next generation sequencing combined with enrichment technologies |
title_sort | detection and identification of transgenic events by next generation sequencing combined with enrichment technologies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821802/ https://www.ncbi.nlm.nih.gov/pubmed/31666537 http://dx.doi.org/10.1038/s41598-019-51668-x |
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