Literature DB >> 22333321

Detecting un-authorized genetically modified organisms (GMOs) and derived materials.

Arne Holst-Jensen1, Yves Bertheau, Marc de Loose, Lutz Grohmann, Sandrine Hamels, Lotte Hougs, Dany Morisset, Sven Pecoraro, Maria Pla, Marc Van den Bulcke, Doerte Wulff.   

Abstract

Genetically modified plants, in the following referred to as genetically modified organisms or GMOs, have been commercially grown for almost two decades. In 2010 approximately 10% of the total global crop acreage was planted with GMOs (James, 2011). More than 30 countries have been growing commercial GMOs, and many more have performed field trials. Although the majority of commercial GMOs both in terms of acreage and specific events belong to the four species: soybean, maize, cotton and rapeseed, there are another 20+ species where GMOs are commercialized or in the pipeline for commercialization. The number of GMOs cultivated in field trials or for commercial production has constantly increased during this time period. So have the number of species, the number of countries involved, the diversity of novel (added) genetic elements and the global trade. All of these factors contribute to the increasing complexity of detecting and correctly identifying GMO derived material. Many jurisdictions, including the European Union (EU), legally distinguish between authorized (and therefore legal) and un-authorized (and therefore illegal) GMOs. Information about the developments, field trials, authorizations, cultivation, trade and observations made in the official GMO control laboratories in different countries around the world is often limited, despite several attempts such as the OECD BioTrack for voluntary dissemination of data. This lack of information inevitably makes it challenging to detect and identify GMOs, especially the un-authorized GMOs. The present paper reviews the state of the art technologies and approaches in light of coverage, practicability, sensitivity and limitations. Emphasis is put on exemplifying practical detection of un-authorized GMOs. Although this paper has a European (EU) bias when examples are given, the contents have global relevance.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22333321     DOI: 10.1016/j.biotechadv.2012.01.024

Source DB:  PubMed          Journal:  Biotechnol Adv        ISSN: 0734-9750            Impact factor:   14.227


  32 in total

1.  Development of real-time PCR method for the detection and the quantification of a new endogenous reference gene in sugar beet "Beta vulgaris L.": GMO application.

Authors:  Maher Chaouachi; Akram Alaya; Imen Ben Haj Ali; Ahmed Ben Hafsa; Nesrine Nabi; Aurélie Bérard; Marcel Romaniuk; Fethia Skhiri; Khaled Saïd
Journal:  Plant Cell Rep       Date:  2012-09-28       Impact factor: 4.570

2.  A specific endogenous reference for genetically modified common bean (Phaseolus vulgaris L.) DNA quantification by real-time PCR targeting lectin gene.

Authors:  Gustavo L Venturelli; Fábio C A Brod; Gabriela B Rossi; Naíra F Zimmermann; Jaison P Oliveira; Josias C Faria; Ana C M Arisi
Journal:  Mol Biotechnol       Date:  2014-11       Impact factor: 2.695

3.  Comprehensive transcriptomics and proteomics analyses of rice stripe virus-resistant transgenic rice.

Authors:  Yang Xu; Lvjie Bi; Zipeng Yu; Chao Lin; Liming Gan; Lifei Zhu; Haiyang Li; Yunzhi Song; Changxiang Zhu
Journal:  J Biosci       Date:  2019-09       Impact factor: 1.826

4.  Targeting the middle region of CP4-EPSPS protein for its traceability in highly processed soy-related products.

Authors:  Honghong Wu; Xiaofu Wang; Xinghu Zhou; Yihua Zhang; Ming Huang; Jian He; Wenbiao Shen
Journal:  J Food Sci Technol       Date:  2017-07-12       Impact factor: 2.701

Review 5.  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

6.  Effect of Transgenic Rootstock Grafting on the Omics Profiles in Tomato.

Authors:  Hiroaki Kodama; Taira Miyahara; Taichi Oguchi; Takashi Tsujimoto; Yoshihiro Ozeki; Takumi Ogawa; Yube Yamaguchi; Daisaku Ohta
Journal:  Food Saf (Tokyo)       Date:  2021-06-25

Review 7.  How to deal with the upcoming challenges in GMO detection in food and feed.

Authors:  Sylvia R M Broeders; Sigrid C J De Keersmaecker; Nancy H C Roosens
Journal:  J Biomed Biotechnol       Date:  2012-10-21

8.  New multiplex PCR methods for rapid screening of genetically modified organisms in foods.

Authors:  Nelly Datukishvili; Tamara Kutateladze; Inga Gabriadze; Kakha Bitskinashvili; Boris Vishnepolsky
Journal:  Front Microbiol       Date:  2015-07-24       Impact factor: 5.640

9.  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

10.  Characterization of GM events by insert knowledge adapted re-sequencing approaches.

Authors:  Litao Yang; Congmao Wang; Arne Holst-Jensen; Dany Morisset; Yongjun Lin; Dabing Zhang
Journal:  Sci Rep       Date:  2013-10-03       Impact factor: 4.379

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