Literature DB >> 25466152

Validation of a sensitive DNA walking strategy to characterise unauthorised GMOs using model food matrices mimicking common rice products.

Marie-Alice Fraiture1, Philippe Herman2, Isabel Taverniers3, Marc De Loose4, Filip Van Nieuwerburgh5, Dieter Deforce5, Nancy H Roosens6.   

Abstract

To identify unauthorised GMOs in food and feed matrices, an integrated approach has recently been developed targeting pCAMBIA family vectors, highly present in transgenic plants. Their presence is first assessed by qPCR screening and is subsequently confirmed by characterising the transgene flanking regions, using DNA walking. Here, the DNA walking performance has been thoroughly tested for the first time, regarding the targeted DNA quality and quantity. Several assays, on model food matrices mimicking common rice products, have allowed to determine the limit of detection as well as the potential effects of food mixture and processing. This detection system allows the identification of transgenic insertions as low as 10 HGEs and was not affected by the presence of untargeted DNA. Moreover, despite the clear impact of food processing on DNA quality, this method was able to cope with degraded DNA. Given its specificity, sensitivity, reliability, applicability and practicability, the proposed approach is a key detection tool, easily implementable in enforcement laboratories.
Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  DNA walking; Detection; Rice food; Sensitivity; Transgene flanking region; Unauthorised GMO

Mesh:

Substances:

Year:  2014        PMID: 25466152     DOI: 10.1016/j.foodchem.2014.09.148

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  7 in total

Review 1.  Current perspectives on genetically modified crops and detection methods.

Authors:  Madhu Kamle; Pradeep Kumar; Jayanta Kumar Patra; Vivek K Bajpai
Journal:  3 Biotech       Date:  2017-07-03       Impact factor: 2.406

2.  Integrated DNA walking system to characterize a broad spectrum of GMOs in food/feed matrices.

Authors:  Marie-Alice Fraiture; Philippe Herman; Loic Lefèvre; Isabel Taverniers; Marc De Loose; Dieter Deforce; Nancy H Roosens
Journal:  BMC Biotechnol       Date:  2015-08-14       Impact factor: 2.563

3.  Nanopore sequencing technology: a new route for the fast detection of unauthorized GMO.

Authors:  Marie-Alice Fraiture; Assia Saltykova; Stefan Hoffman; Raf Winand; Dieter Deforce; Kevin Vanneste; Sigrid C J De Keersmaecker; Nancy H C Roosens
Journal:  Sci Rep       Date:  2018-05-21       Impact factor: 4.379

4.  Development and validation of an integrated DNA walking strategy to detect GMO expressing cry genes.

Authors:  Marie-Alice Fraiture; Julie Vandamme; Philippe Herman; Nancy H C Roosens
Journal:  BMC Biotechnol       Date:  2018-06-27       Impact factor: 2.563

Review 5.  Current and new approaches in GMO detection: challenges and solutions.

Authors:  Marie-Alice Fraiture; Philippe Herman; Isabel Taverniers; Marc De Loose; Dieter Deforce; Nancy H Roosens
Journal:  Biomed Res Int       Date:  2015-10-15       Impact factor: 3.411

6.  ALF: a strategy for identification of unauthorized GMOs in complex mixtures by a GW-NGS method and dedicated bioinformatics analysis.

Authors:  Alexandra Bogožalec Košir; Alfred J Arulandhu; Marleen M Voorhuijzen; Hongmei Xiao; Rico Hagelaar; Martijn Staats; Adalberto Costessi; Jana Žel; Esther J Kok; Jeroen P van Dijk
Journal:  Sci Rep       Date:  2017-10-26       Impact factor: 4.379

7.  Targeted MinION sequencing of transgenes.

Authors:  Anne-Laure Boutigny; Florent Fioriti; Mathieu Rolland
Journal:  Sci Rep       Date:  2020-09-15       Impact factor: 4.379

  7 in total

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