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单事件转基因产物水平可预测转基因育种组合中的水平。

Single-Event Transgene Product Levels Predict Levels in Genetically Modified Breeding Stacks.

作者信息

Gampala Satyalinga Srinivas, Fast Brandon J, Richey Kimberly A, Gao Zhifang, Hill Ryan, Wulfkuhle Bryant, Shan Guomin, Bradfisch Greg A, Herman Rod A

机构信息

Dow AgroSciences , Building 312, 9330 Zionsville Road, Indianapolis, Indiana 46268, United States.

出版信息

J Agric Food Chem. 2017 Sep 13;65(36):7885-7892. doi: 10.1021/acs.jafc.7b03098. Epub 2017 Aug 29.

DOI:10.1021/acs.jafc.7b03098
PMID:28825812
Abstract

The concentration of transgene products (proteins and double-stranded RNA) in genetically modified (GM) crop tissues is measured to support food, feed, and environmental risk assessments. Measurement of transgene product concentrations in breeding stacks of previously assessed and approved GM events is required by many regulatory authorities to evaluate unexpected transgene interactions that might affect expression. Research was conducted to determine how well concentrations of transgene products in single GM events predict levels in breeding stacks composed of these events. The concentrations of transgene products were compared between GM maize, soybean, and cotton breeding stacks (MON-87427 × MON-89034 × DAS-Ø15Ø7-1 × MON-87411 × DAS-59122-7 × DAS-40278-9 corn, DAS-81419-2 × DAS-44406-6 soybean, and DAS-21023-5 × DAS-24236-5 × SYN-IR102-7 × MON-88913-8 × DAS-81910-7 cotton) and their component single events (MON-87427, MON-89034, DAS-Ø15Ø7-1, MON-87411, DAS-59122-7, and DAS-40278-9 corn, DAS-81419-2, and DAS-44406-6 soybean, and DAS-21023-5, DAS-24236-5, SYN-IR102-7, MON-88913-8, and DAS-81910-7 cotton). Comparisons were made within a crop and transgene product across plant tissue types and were also made across transgene products in each breeding stack for grain/seed. Scatter plots were generated comparing expression in the stacks to their component events, and the percent of variability accounted for by the line of identity (y = x) was calculated (coefficient of identity, I). Results support transgene concentrations in single events predicting similar concentrations in breeding stacks containing the single events. Therefore, food, feed, and environmental risk assessments based on concentrations of transgene products in single GM events are generally applicable to breeding stacks composed of these events.

摘要

测量转基因作物组织中转基因产物(蛋白质和双链RNA)的浓度,以支持食品、饲料和环境风险评估。许多监管机构要求测量先前评估和批准的转基因事件育种组合中转基因产物的浓度,以评估可能影响表达的意外转基因相互作用。开展了相关研究,以确定单个转基因事件中转基因产物的浓度对由这些事件组成的育种组合中相应水平的预测能力。比较了转基因玉米、大豆和棉花育种组合(MON-87427×MON-89034×DAS-Ø15Ø7-1×MON-87411×DAS-59122-7×DAS-40278-9玉米、DAS-81419-2×DAS-44406-6大豆、DAS-21023-5×DAS-24236-5×SYN-IR102-7×MON-88913-8×DAS-81910-7棉花)及其组成的单个事件(MON-87427、MON-89034、DAS-Ø15Ø7-1、MON-87411、DAS-59122-7、DAS-40278-9玉米、DAS-81419-2、DAS-44406-6大豆、DAS-2×DAS-24236-5、SYN-IR102-7、MON-88913-8、DAS-81910-7棉花)中转基因产物的浓度。在同一作物和转基因产物内,对不同植物组织类型进行了比较,并且在每个育种组合的谷物/种子中,对不同转基因产物也进行了比较。生成了散点图,比较了育种组合与其组成事件中的表达情况,并计算了恒等线(y = x)所解释的变异百分比(恒等系数,I)。结果支持单个事件中的转基因浓度能够预测包含这些单个事件的育种组合中的相似浓度。因此,基于单个转基因事件中转基因产物浓度的食品、饲料和环境风险评估通常适用于由这些事件组成的育种组合。

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