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Abstract Detail


Plant biotech & Risk Assessment

Lim, Sun-Hyung [1], Ho, Jung-Yoon [2], Woo, Hee-Jong [2], Lee, Si-Myung [2], Jin, Yong-Moon [2], Cho, Hyun-Suk [2].

Reliable detection and identification of genetically modified cabbage by qualitative PCR analysis.

The rapid development of plant genetic engineering has led to the creation of various genetically modified (GM) or transgenic crops, which have been developed in an attempt to improve food quality and solve some of the problems associated with commercial agriculture, including diseases and weed managements. The global area of GM planting dramatically increased in developing countries and industrial countries. In addition, many countries have granted regulatory approvals for GM crops for import for food and feed use and for environment release. Nevertheless, consumer concerns about GM foods have affected food regulation policies worldwide and have promoted the development or changes in GM food labeling legislation in many countries. Labeling regulations will require the development of reliable detection methods of genetically modified organisms (GMOs). In this study, we developed specific GM detection method by qualitative polymerase chain reaction (PCR). We obtained transgenic cabbage plants with insect-resistance gene, Cry1Ac, by agrobacterium-transformation. These cabbage plants were confirmed gene insertion and expression by molecular analysis. We carried out PCR to amplify the DNA sequences at the unique integration site between the specific transgene construct and the plant genome. Based on unique integration DNA sequences, we designed specific primer set to detect GM cabbage and set up specific GM cabbage detection method. Our results clearly demonstrated that the primer set proposed can be used in specific PCR identification for GM cabbage.


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1 - National Institute of Agricultural Biotechnology, Biosafety division, 224 suinro Gwonseon-gu, Suwon, 441-707, Korea
2 - National Institute of Agricultural Biotechnology, Biosafety division

Keywords:
GM detection.

Presentation Type: Plant Biology Abstract
Session: P
Location: Exhibit Hall (Northeast, Southwest & Southeast)/Hilton
Date: Sunday, July 8th, 2007
Time: 8:00 AM
Number: P45009
Abstract ID:784


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