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多重焦磷酸测序定量检测与通用引物多重 PCR 相结合的基因改造生物体检测方法。

Multiplex pyrosequencing quantitative detection combined with universal primer-multiplex-PCR for genetically modified organisms.

机构信息

Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China; Faulty of Agriculture and Food, Kunming University of Science and Technology, Kunming, Yunnan 650500, China.

Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China.

出版信息

Food Chem. 2020 Aug 1;320:126634. doi: 10.1016/j.foodchem.2020.126634. Epub 2020 Mar 18.

Abstract

A multiplex pyrosequencing quantitative detection technique combined with universal primer-multiplex-PCR (UP-M-PCR) was established. In this study, a pyrosequencing results analysis software was first self-compiled, which realized the DNA sequences degeneration, and converted the pyrosequencing results and base composition of the target sequences into mathematic relations. Five calculation models were put forward based on the actual situation, which adjusted the values smaller than zero or the detection limit. By applying this method, samples containing five genetically modified (GM) lines mixed in random ratio were quantified, it showed that the quantification was very close to the actual value, and the detection sensitivity was as low as 1.47% of a single component, which satisfied most labeling policies. This novel method is realized without fluorescent group labeling, hence the number of targets is not limited by factors inherent in method or equipment, and is proven to be a reliable tool for the quantitative detection.

摘要

建立了一种多重焦磷酸测序定量检测技术,结合通用引物多重 PCR(UP-M-PCR)。本研究首先自编了焦磷酸测序结果分析软件,实现了 DNA 序列的退化,并将焦磷酸测序结果和目标序列的碱基组成转化为数学关系。根据实际情况提出了五个计算模型,对小于零或检测限的数值进行了调整。应用该方法对五种以任意比例混合的转基因(GM)品系的样品进行定量,结果表明定量结果非常接近实际值,检测灵敏度低至单个成分的 1.47%,满足了大多数标签政策的要求。该新方法无需荧光基团标记即可实现,因此目标数量不受方法或设备固有因素的限制,被证明是一种可靠的定量检测工具。

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