Literature DB >> 12083257

Real-time quantitative polymerase chain reaction methods for four genetically modified maize varieties and maize DNA content in food.

Peter D Brodmann1, Evelyn C Ilg, Hélène Berthoud, Andre Herrmann.   

Abstract

Quantitative detection methods are needed for enforcement of the recently introduced labeling threshold for genetically modified organisms (GMOs) in food ingredients. This labeling threshold, which is set to 1% in the European Union and Switzerland, must be applied to all approved GMOs. Four different varieties of maize are approved in the European Union: the insect-resistant Bt176 maize (Maximizer), Btl 1 maize, Mon810 (YieldGard) maize, and the herbicide-tolerant T25 (Liberty Link) maize. Because the labeling must be considered individually for each ingredient, a quantitation system for the endogenous maize content is needed in addition to the GMO-specific detection systems. Quantitative real-time polymerase chain reaction detection methods were developed for the 4 approved genetically modified maize varieties and for an endogenous maize (invertase) gene system.

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Year:  2002        PMID: 12083257

Source DB:  PubMed          Journal:  J AOAC Int        ISSN: 1060-3271            Impact factor:   1.913


  8 in total

1.  Critical points of DNA quantification by real-time PCR--effects of DNA extraction method and sample matrix on quantification of genetically modified organisms.

Authors:  Katarina Cankar; Dejan Stebih; Tanja Dreo; Jana Zel; Kristina Gruden
Journal:  BMC Biotechnol       Date:  2006-08-14       Impact factor: 2.563

Review 2.  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

3.  Identification of the Pol Gene as a Species-Specific Diagnostic Marker for Qualitative and Quantitative PCR Detection of Tricholoma matsutake.

Authors:  Luying Shan; Dazhou Wang; Yinjiao Li; Shi Zheng; Wentao Xu; Ying Shang
Journal:  Molecules       Date:  2019-01-28       Impact factor: 4.411

4.  Comparison of different real-time PCR chemistries and their suitability for detection and quantification of genetically modified organisms.

Authors:  Meti Buh Gasparic; Katarina Cankar; Jana Zel; Kristina Gruden
Journal:  BMC Biotechnol       Date:  2008-03-06       Impact factor: 2.563

5.  NAIMA: target amplification strategy allowing quantitative on-chip detection of GMOs.

Authors:  Dany Morisset; David Dobnik; Sandrine Hamels; Jana Zel; Kristina Gruden
Journal:  Nucleic Acids Res       Date:  2008-08-18       Impact factor: 16.971

6.  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

7.  Establishment of quantitative analysis method for genetically modified maize using a reference plasmid and novel primers.

Authors:  Gi-Seong Moon; Weon-Sun Shin
Journal:  Prev Nutr Food Sci       Date:  2012-12

8.  Inter-laboratory analysis of selected genetically modified plant reference materials with digital PCR.

Authors:  David Dobnik; Tina Demšar; Ingrid Huber; Lars Gerdes; Sylvia Broeders; Nancy Roosens; Frederic Debode; Gilbert Berben; Jana Žel
Journal:  Anal Bioanal Chem       Date:  2017-10-25       Impact factor: 4.142

  8 in total

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