Single-Event Transgene Product Levels Predict Levels in Genetically Modified Breeding Stacks
| Autor: | Rod A. Herman, Bryant Wulfkuhle, Kimberly A. Richey, Zhifang Gao, Satyalinga Srinivas Gampala, Greg A. Bradfisch, Guomin Shan, Brandon J. Fast, Ryan Christopher Hill |
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| Rok vydání: | 2017 |
| Předmět: |
0106 biological sciences
0301 basic medicine Gossypium Transgene General Chemistry Breeding Biology Plants Genetically Modified Zea mays 01 natural sciences Genetically modified organism Crop 03 medical and health sciences 030104 developmental biology Agronomy Environmental risk RNA Plant Soybeans General Agricultural and Biological Sciences Plant Proteins RNA Double-Stranded 010606 plant biology & botany |
| Zdroj: | Journal of Agricultural and Food Chemistry. 65:7885-7892 |
| ISSN: | 1520-5118 0021-8561 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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