Kamle Madhu, Kumar Pradeep, Patra Jayanta Kumar, Bajpai Vivek K
Department of Forestry, North Eastern Regional Institute of Science and Technology (Deemed University), Nirjuli, Arunachal Pradesh, 791109, India.
Research Institute of Biotechnology and Medical Converged Science, Dongguk University-Seoul, Ilsandong-gu, Gyeonggido, 10326, Korea.
3 Biotech. 2017 Jul;7(3):219. doi: 10.1007/s13205-017-0809-3. Epub 2017 Jul 3.
Genetically modified (GM) crops are the fastest adopted commodities in the agribiotech industry. This market penetration should provide a sustainable basis for ensuring food supply for growing global populations. The successful completion of two decades of commercial GM crop production (1996-2015) is underscored by the increasing rate of adoption of genetic engineering technology by farmers worldwide. With the advent of introduction of multiple traits stacked together in GM crops for combined herbicide tolerance, insect resistance, drought tolerance or disease resistance, the requirement of reliable and sensitive detection methods for tracing and labeling genetically modified organisms in the food/feed chain has become increasingly important. In addition, several countries have established threshold levels for GM content which trigger legally binding labeling schemes. The labeling of GM crops is mandatory in many countries (such as China, EU, Russia, Australia, New Zealand, Brazil, Israel, Saudi Arabia, Korea, Chile, Philippines, Indonesia, Thailand), whereas in Canada, Hong Kong, USA, South Africa, and Argentina voluntary labeling schemes operate. The rapid adoption of GM crops has increased controversies, and mitigating these issues pertaining to the implementation of effective regulatory measures for the detection of GM crops is essential. DNA-based detection methods have been successfully employed, while the whole genome sequencing using next-generation sequencing (NGS) technologies provides an advanced means for detecting genetically modified organisms and foods/feeds in GM crops. This review article describes the current status of GM crop commercialization and discusses the benefits and shortcomings of common and advanced detection systems for GMs in foods and animal feeds.
转基因作物是农业生物技术产业中采用速度最快的商品。这种市场渗透应为确保不断增长的全球人口的粮食供应提供可持续的基础。全球农民对基因工程技术的采用率不断提高,这突出表明转基因作物商业化生产的二十年(1996 - 2015年)取得了成功。随着转基因作物中堆叠多种性状以实现综合除草剂耐受性、抗虫性、耐旱性或抗病性,在食品/饲料链中追踪和标记转基因生物的可靠且灵敏的检测方法的需求变得越来越重要。此外,一些国家已经设定了转基因含量的阈值水平,触发具有法律约束力的标签制度。在许多国家(如中国、欧盟、俄罗斯、澳大利亚、新西兰、巴西、以色列、沙特阿拉伯、韩国、智利、菲律宾、印度尼西亚、泰国),转基因作物标签是强制性的,而在加拿大、中国香港、美国、南非和阿根廷则实行自愿标签制度。转基因作物的迅速采用增加了争议,因此缓解与实施转基因作物有效监管检测措施相关的这些问题至关重要。基于DNA的检测方法已成功应用,而使用下一代测序(NGS)技术的全基因组测序为检测转基因作物中的转基因生物和食品/饲料提供了一种先进手段。这篇综述文章描述了转基因作物商业化的现状,并讨论了食品和动物饲料中转基因生物常见和先进检测系统的优缺点。