Literature DB >> 26868555

Development and applicability of a ready-to-use PCR system for GMO screening.

Sabrina F Rosa1, Francesco Gatto2, Alexandre Angers-Loustau3, Mauro Petrillo4, Joachim Kreysa5, Maddalena Querci6.   

Abstract

With the growing number of GMOs introduced to the market, testing laboratories have seen their workload increase significantly. Ready-to-use multi-target PCR-based detection systems, such as pre-spotted plates (PSP), reduce analysis time while increasing capacity. This paper describes the development and applicability to GMO testing of a screening strategy involving a PSP and its associated web-based Decision Support System. The screening PSP was developed to detect all GMOs authorized in the EU in one single PCR experiment, through the combination of 16 validated assays. The screening strategy was successfully challenged in a wide inter-laboratory study on real-life food/feed samples. The positive outcome of this study could result in the adoption of a PSP screening strategy across the EU; a step that would increase harmonization and quality of GMO testing in the EU. Furthermore, this system could represent a model for other official control areas where high-throughput DNA-based detection systems are needed.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Decision Support System; Detection; GMO; Multi-target; PCR; Ready-to-use; Screening

Mesh:

Year:  2016        PMID: 26868555     DOI: 10.1016/j.foodchem.2016.01.007

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


  11 in total

1.  A label-free electrochemical impedimetric DNA biosensor for genetically modified soybean detection based on gold carbon dots.

Authors:  Hongfei Gao; Dandan Cui; Shanshan Zhai; Yao Yang; Yuhua Wu; Xiaohong Yan; Gang Wu
Journal:  Mikrochim Acta       Date:  2022-05-10       Impact factor: 5.833

2.  Semiautomated TaqMan PCR screening of GMO labelled samples for (unauthorised) GMOs.

Authors:  Ingrid M J Scholtens; Bonnie Molenaar; Richard A van Hoof; Stephanie Zaaijer; Theo W Prins; Esther J Kok
Journal:  Anal Bioanal Chem       Date:  2017-04-17       Impact factor: 4.142

3.  Development and comparative study of a pat/bar real-time PCR assay for integrating the screening strategy of a GMO testing laboratory.

Authors:  Daniela Verginelli; Annalisa Paternò; Maria Laura De Marchis; Cinzia Quarchioni; Daniela Vinciguerra; Pamela Bonini; Stefania Peddis; Cristiana Fusco; Marisa Misto; Cristina Marfoglia; Francesco Pomilio; Ugo Marchesi
Journal:  J Sci Food Agric       Date:  2020-01-17       Impact factor: 3.638

Review 4.  Critical assessment of digital PCR for the detection and quantification of genetically modified organisms.

Authors:  Tigst Demeke; David Dobnik
Journal:  Anal Bioanal Chem       Date:  2018-03-24       Impact factor: 4.142

5.  Utility of a ready-to-use PCR system for neuroendocrine tumor diagnosis.

Authors:  Mark Kidd; Ignat A Drozdov; Somer Matar; Nicole Gurunlian; Nicholas J Ferranti; Anna Malczewska; Philip Bennett; Lisa Bodei; Irvin M Modlin
Journal:  PLoS One       Date:  2019-06-27       Impact factor: 3.240

6.  Highly sensitive immunosensing platform for one-step detection of genetically modified crops.

Authors:  Hongfei Gao; Luke Wen; Wei Hua; Jing Tian; Yongjun Lin
Journal:  Sci Rep       Date:  2019-11-06       Impact factor: 4.379

7.  Development and optimization of a simian immunodeficiency virus (SIV) droplet digital PCR (ddPCR) assay.

Authors:  Samuel Long; Brian Berkemeier
Journal:  PLoS One       Date:  2020-10-09       Impact factor: 3.240

8.  Development of a reverse transcription droplet digital PCR (RT-ddPCR) assay for sensitive detection of simian immunodeficiency virus (SIV).

Authors:  Samuel Long; Brian Berkemeier
Journal:  Virol J       Date:  2021-02-15       Impact factor: 4.099

9.  Prevalence of Genetically Modified Soybean in Animal Feedingstuffs in Poland.

Authors:  Zbigniew Sieradzki; Małgorzata Mazur; Beata Król; Krzysztof Kwiatek
Journal:  J Vet Res       Date:  2021-01-29       Impact factor: 1.744

10.  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

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