关键词: 转基因玉米, 核酸层析法, 快速转基因检测试纸条, 定性检测

Abstract: With the acceleration of transgenic research and industrialization in China, the importance of transgenic detection has become increasingly prominent. Therefore, the research and development of new methods for rapid and efficient detection has great significance in production and scientific research. In transgenic detection, conventional PCR technology has the characteristics of wide detection range, but it is time-consuming and laborious, and has high requirements for experimental conditions. Meanwhile, colloidal gold protein test paper method is convenient and fast, but the detectable range is narrow. Based on this, a set of method system for rapid transgenic detection based on nucleic acid chromatography was established. After extracting DNA from the samples by liquid ammonia by one-tube method, PCR amplification was carried out directly, and then the PCR amplification products were dripped onto the colloidal gold detection card, and the test results were observed by eyes directly due to the clear difference of color. In this method, corn internal reference genes ZSSⅡB and Zein, soybean internal reference gene SPS, rice internal reference gene Lectin, transgenic element promoter CaMV35S and terminator NOS, insect-resistant genes Cry1Ab/1Ac, herbicide-resistant genes Bar, Pat, CP4-EPSPS and selectable marker genes NPTⅡ and Pmi were finally detected. And the specific transgenic events Mir604 and Bt11 were also successfully detected. The nucleic acid chromatography detection method obtained by the research had the advantages of high sensitivity, efficient, and low requirements for detection conditions. It combined the advantages of PCR and protein test paper detection, and could be widely used in accurate and rapid detection of genetically modified products, providing a good technical support for the safety supervision of genetically modified organisms in China.

Key words: genetically modified maize, nucleic acid chromatography, test strip for rapid transgene detection, qualitative detection