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Integrated DNA walking system to characterize a broad spectrum of GMOs in food/feed matrices
BACKGROUND: In order to provide a system fully integrated with qPCR screening, usually used in GMO routine analysis, as well as being able to detect, characterize and identify a broad spectrum of GMOs in food/feed matrices, two bidirectional DNA walking methods targeting p35S or tNOS, the most commo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535744/ https://www.ncbi.nlm.nih.gov/pubmed/26272331 http://dx.doi.org/10.1186/s12896-015-0191-3 |
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author | Fraiture, Marie-Alice Herman, Philippe Lefèvre, Loic Taverniers, Isabel De Loose, Marc Deforce, Dieter Roosens, Nancy H |
author_facet | Fraiture, Marie-Alice Herman, Philippe Lefèvre, Loic Taverniers, Isabel De Loose, Marc Deforce, Dieter Roosens, Nancy H |
author_sort | Fraiture, Marie-Alice |
collection | PubMed |
description | BACKGROUND: In order to provide a system fully integrated with qPCR screening, usually used in GMO routine analysis, as well as being able to detect, characterize and identify a broad spectrum of GMOs in food/feed matrices, two bidirectional DNA walking methods targeting p35S or tNOS, the most common transgenic elements found in GM crops, were developed. These newly developed DNA walking methods are completing the previously implemented DNA walking method targeting the t35S pCAMBIA element. METHODS: Food/feed matrices containing transgenic crops (Bt rice or MON863 maize) were analysed using the integrated DNA walking system. RESULTS: First, the newly developed DNA walking methods, anchored on the sequences used for the p35S or tNOS qPCR screening, were tested on Bt rice that contains these two transgenic elements. Second, the methods were assessed on a maize sample containing a low amount of the GM MON863 event, representing a more complex matrix in terms of genome size and sensitivity. Finally, to illustrate its applicability in GMO routine analysis by enforcement laboratories, the entire workflow of the integrated strategy, including qPCR screening to detect the potential presence of GMOs and the subsequent DNA walking methods to characterize and identify the detected GMOs, was applied on a GeMMA Scheme Proficiency Test matrix. Via the characterization of the transgene flanking region between the transgenic cassette and the plant genome as well as of a part of the transgenic cassette, the presence of GMOs was properly confirmed or infirmed in all tested samples. CONCLUSION: Due to their simple procedure and their short time-frame to get results, the developed DNA walking methods proposed here can be easily implemented in GMO routine analysis by the enforcement laboratories. In providing crucial information about the transgene flanking regions and/or the transgenic cassettes, this DNA walking strategy is a key molecular tool to prove the presence of GMOs in any given food/feed matrix. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12896-015-0191-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4535744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45357442015-08-14 Integrated DNA walking system to characterize a broad spectrum of GMOs in food/feed matrices Fraiture, Marie-Alice Herman, Philippe Lefèvre, Loic Taverniers, Isabel De Loose, Marc Deforce, Dieter Roosens, Nancy H BMC Biotechnol Research Article BACKGROUND: In order to provide a system fully integrated with qPCR screening, usually used in GMO routine analysis, as well as being able to detect, characterize and identify a broad spectrum of GMOs in food/feed matrices, two bidirectional DNA walking methods targeting p35S or tNOS, the most common transgenic elements found in GM crops, were developed. These newly developed DNA walking methods are completing the previously implemented DNA walking method targeting the t35S pCAMBIA element. METHODS: Food/feed matrices containing transgenic crops (Bt rice or MON863 maize) were analysed using the integrated DNA walking system. RESULTS: First, the newly developed DNA walking methods, anchored on the sequences used for the p35S or tNOS qPCR screening, were tested on Bt rice that contains these two transgenic elements. Second, the methods were assessed on a maize sample containing a low amount of the GM MON863 event, representing a more complex matrix in terms of genome size and sensitivity. Finally, to illustrate its applicability in GMO routine analysis by enforcement laboratories, the entire workflow of the integrated strategy, including qPCR screening to detect the potential presence of GMOs and the subsequent DNA walking methods to characterize and identify the detected GMOs, was applied on a GeMMA Scheme Proficiency Test matrix. Via the characterization of the transgene flanking region between the transgenic cassette and the plant genome as well as of a part of the transgenic cassette, the presence of GMOs was properly confirmed or infirmed in all tested samples. CONCLUSION: Due to their simple procedure and their short time-frame to get results, the developed DNA walking methods proposed here can be easily implemented in GMO routine analysis by the enforcement laboratories. In providing crucial information about the transgene flanking regions and/or the transgenic cassettes, this DNA walking strategy is a key molecular tool to prove the presence of GMOs in any given food/feed matrix. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12896-015-0191-3) contains supplementary material, which is available to authorized users. BioMed Central 2015-08-14 /pmc/articles/PMC4535744/ /pubmed/26272331 http://dx.doi.org/10.1186/s12896-015-0191-3 Text en © Fraiture et al. 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Fraiture, Marie-Alice Herman, Philippe Lefèvre, Loic Taverniers, Isabel De Loose, Marc Deforce, Dieter Roosens, Nancy H Integrated DNA walking system to characterize a broad spectrum of GMOs in food/feed matrices |
title | Integrated DNA walking system to characterize a broad spectrum of GMOs in food/feed matrices |
title_full | Integrated DNA walking system to characterize a broad spectrum of GMOs in food/feed matrices |
title_fullStr | Integrated DNA walking system to characterize a broad spectrum of GMOs in food/feed matrices |
title_full_unstemmed | Integrated DNA walking system to characterize a broad spectrum of GMOs in food/feed matrices |
title_short | Integrated DNA walking system to characterize a broad spectrum of GMOs in food/feed matrices |
title_sort | integrated dna walking system to characterize a broad spectrum of gmos in food/feed matrices |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535744/ https://www.ncbi.nlm.nih.gov/pubmed/26272331 http://dx.doi.org/10.1186/s12896-015-0191-3 |
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