Randhawa Gurinder Jit, Singh Monika, Chhabra Rashmi
National Research Centre on DNA Fingerprinting, National Bureau of Plant Genetic Resources, New Delhi, India.
Methods Mol Biol. 2013;958:139-51. doi: 10.1007/978-1-62703-212-4_11.
The adoption rate and global area under cultivation of genetically modified (GM) crops is dramatically increasing in recent past. GM cotton has occupied 25.0 million hectares (mha) comprising 15.6% of the global area under GM cultivation. Bt cotton, expressing delta-endotoxins from Bacillus thuringiensis (Bt), is the only commercialized crop in India that is planted on an area of 10.6 mha. With the increase in development and commercialization of GM crops, it is necessary to develop appropriate qualitative and quantitative methods for detection of different GM events. Robust diagnostics for GM detection need to be developed and implemented to monitor and detect different events of GM cotton in India. This chapter summarizes the methods based on polymerase chain reaction (PCR) being employed for detection of different GM events of cotton. We describe a decaplex PCR method for identification and differentiation of two major commercialized events of Bt cotton, i.e., MON531 and MON15985, in India.
在过去几年中,转基因作物的采用率和全球种植面积急剧增加。转基因棉花已占据2500万公顷,占全球转基因作物种植面积的15.6%。表达来自苏云金芽孢杆菌(Bt)的δ-内毒素的Bt棉花是印度唯一商业化种植的作物,种植面积达1060万公顷。随着转基因作物的开发和商业化增加,有必要开发适当的定性和定量方法来检测不同的转基因事件。需要开发并实施用于转基因检测的可靠诊断方法,以监测和检测印度不同的转基因棉花事件。本章总结了基于聚合酶链反应(PCR)用于检测棉花不同转基因事件的方法。我们描述了一种十重PCR方法,用于鉴定和区分印度Bt棉花的两个主要商业化事件,即MON531和MON15985。