Literature DB >> 15826057

Event-specific plasmid standards and real-time PCR methods for transgenic Bt11, Bt176, and GA21 maize and transgenic GT73 canola.

Isabel Taverniers1, Pieter Windels, Marc Vaïtilingom, Anne Milcamps, Erik Van Bockstaele, Guy Van den Eede, Marc De Loose.   

Abstract

Since the 18th of April 2004, two new regulations, EC/1829/2003 on genetically modified food and feed products and EC/1830/2003 on traceability and labeling of GMOs, are in force in the EU. This new, comprehensive regulatory framework emphasizes the need of an adequate tracing system. Unique identifiers, such as the transgene genome junction region or a specific rearrangement within the transgene DNA, should form the basis of such a tracing system. In this study, we describe the development of event-specific tracing systems for transgenic maize lines Bt11, Bt176, and GA21 and for canola event GT73. Molecular characterization of the transgene loci enabled us to clone an event-specific sequence into a plasmid vector, to be used as a marker, and to develop line-specific primers. Primer specificity was tested through qualitative PCRs and dissociation curve analysis in SYBR Green I real-time PCRs. The primers were then combined with event-specific TaqMan probes in quantitative real-time PCRs. Calibration curves were set up both with genomic DNA samples and the newly synthesized plasmid DNA markers. It is shown that cloned plasmid GMO target sequences are perfectly suitable as unique identifiers and quantitative calibrators. Together with an event-specific primer pair and a highly specific TaqMan probe, the plasmid markers form crucial components of a unique and straighforward tracing system for Bt11, Bt176, and GA21 maize and GT73 canola events.

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Year:  2005        PMID: 15826057     DOI: 10.1021/jf0483467

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  8 in total

1.  Event-specific qualitative and quantitative PCR detection of roundup ready event GT73 based on the 3'-integration junction.

Authors:  Rong Yang; Wentao Xu; Yunbo Luo; Feng Guo; Yun Lu; Kunlun Huang
Journal:  Plant Cell Rep       Date:  2007-06-07       Impact factor: 4.570

Review 2.  Relative quantification in seed GMO analysis: state of art and bottlenecks.

Authors:  Maher Chaouachi; Aurélie Bérard; Khaled Saïd
Journal:  Transgenic Res       Date:  2013-02-12       Impact factor: 2.788

3.  Assessment of real-time PCR based methods for quantification of pollen-mediated gene flow from GM to conventional maize in a field study.

Authors:  Maria Pla; José-Luis La Paz; Gisela Peñas; Nora García; Montserrat Palaudelmàs; Teresa Esteve; Joaquima Messeguer; Enric Melé
Journal:  Transgenic Res       Date:  2006-04       Impact factor: 2.788

4.  Event-specific qualitative and quantitative PCR methods for the detection of genetically modified rapeseed Oxy-235.

Authors:  Gang Wu; Yuhua Wu; Ling Xiao; Changming Lu
Journal:  Transgenic Res       Date:  2008-02-19       Impact factor: 2.788

5.  Sensitivity of a real-time PCR method for the detection of transgenes in a mixture of transgenic and non-transgenic seeds of papaya (Carica papaya L.).

Authors:  Madhugiri Nageswara-Rao; Charles Kwit; Sujata Agarwal; Mariah T Patton; Jordan A Skeen; Joshua S Yuan; Richard M Manshardt; C Neal Stewart
Journal:  BMC Biotechnol       Date:  2013-09-01       Impact factor: 2.563

Review 6.  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

7.  Structure of Exogenous Gene Integration and Event-Specific Detection in the Glyphosate-Tolerant Transgenic Cotton Line BG2-7.

Authors:  Xiaobing Zhang; Qiaoling Tang; Xujing Wang; Zhixing Wang
Journal:  PLoS One       Date:  2016-07-05       Impact factor: 3.240

8.  Effects of encapsulated essential oils and organic acids on laying performance, egg quality, intestinal morphology, barrier function, and microflora count of hens during the early laying period.

Authors:  Han Wang; Saisai Liang; Xueyuan Li; Xiaojun Yang; Fangyu Long; Xin Yang
Journal:  Poult Sci       Date:  2019-12-01       Impact factor: 3.352

  8 in total

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