Literature DB >> 19855963

A practical approach to screen for authorised and unauthorised genetically modified plants.

Hans-Ulrich Waiblinger1, Lutz Grohmann, Joachim Mankertz, Dirk Engelbert, Klaus Pietsch.   

Abstract

In routine analysis, screening methods based on real-time PCR are most commonly used for the detection of genetically modified (GM) plant material in food and feed. In this paper, it is shown that the combination of five DNA target sequences can be used as a universal screening approach for at least 81 GM plant events authorised or unauthorised for placing on the market and described in publicly available databases. Except for maize event LY038, soybean events DP-305423 and BPS-CV127-9 and cotton event 281-24-236 x 3006-210-23, at least one of the five genetic elements has been inserted in these GM plants and is targeted by this screening approach. For the detection of these sequences, fully validated real-time PCR methods have been selected. A screening table is presented that describes the presence or absence of the target sequences for most of the listed GM plants. These data have been verified either theoretically according to available databases or experimentally using available reference materials. The screening table will be updated regularly by a network of German enforcement laboratories.

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Year:  2009        PMID: 19855963     DOI: 10.1007/s00216-009-3173-2

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  9 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.  Development and validation of real-time PCR screening methods for detection of cry1A.105 and cry2Ab2 genes in genetically modified organisms.

Authors:  Andréia Z Dinon; Theo W Prins; Jeroen P van Dijk; Ana Carolina M Arisi; Ingrid M J Scholtens; Esther J Kok
Journal:  Anal Bioanal Chem       Date:  2011-03-29       Impact factor: 4.142

Review 3.  Application of whole genome shotgun sequencing for detection and characterization of genetically modified organisms and derived products.

Authors:  Arne Holst-Jensen; Bjørn Spilsberg; Alfred J Arulandhu; Esther Kok; Jianxin Shi; Jana Zel
Journal:  Anal Bioanal Chem       Date:  2016-04-21       Impact factor: 4.142

4.  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

5.  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 6.  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

7.  The GMOseek matrix: a decision support tool for optimizing the detection of genetically modified plants.

Authors:  Annette Block; Frédéric Debode; Lutz Grohmann; Julie Hulin; Isabel Taverniers; Linda Kluga; Elodie Barbau-Piednoir; Sylvia Broeders; Ingrid Huber; Marc Van den Bulcke; Petra Heinze; Gilbert Berben; Ulrich Busch; Nancy Roosens; Eric Janssen; Jana Žel; Kristina Gruden; Dany Morisset
Journal:  BMC Bioinformatics       Date:  2013-08-22       Impact factor: 3.169

8.  GMOseek: a user friendly tool for optimized GMO testing.

Authors:  Dany Morisset; Petra Kralj Novak; Darko Zupanič; Kristina Gruden; Nada Lavrač; Jana Žel
Journal:  BMC Bioinformatics       Date:  2014-08-01       Impact factor: 3.169

9.  Development, Optimization, and Evaluation of a Duplex Droplet Digital PCR Assay To Quantify the T-nos/hmg Copy Number Ratio in Genetically Modified Maize.

Authors:  Dalmira Félix-Urquídez; Melina Pérez-Urquiza; José-Benigno Valdez Torres; Josefina León-Félix; Raymundo García-Estrada; Abraham Acatzi-Silva
Journal:  Anal Chem       Date:  2015-12-09       Impact factor: 6.986

  9 in total

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