Literature DB >> 28825812

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

Satyalinga Srinivas Gampala1, Brandon J Fast1, Kimberly A Richey1, Zhifang Gao1, Ryan Hill1, Bryant Wulfkuhle1, Guomin Shan1, Greg A Bradfisch1, Rod A Herman1.   

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, I2). 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.

Entities:  

Keywords:  coefficient of identity; food, feed, and environmental risk assessment; genetically modified (GM) breeding stacks; genetically modified organisms (GMOs); safety assessment; transgene expression

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Substances:

Year:  2017        PMID: 28825812     DOI: 10.1021/acs.jafc.7b03098

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  4 in total

1.  Variability of CP4 EPSPS expression in genetically engineered soybean (Glycine max L. Merrill).

Authors:  Parimala Chinnadurai; Duška Stojšin; Kang Liu; Gregory E Frierdich; Kevin C Glenn; Tao Geng; Adam Schapaugh; Keguo Huang; Andrew E Deffenbaugh; Zi L Liu; Luis A Burzio
Journal:  Transgenic Res       Date:  2018-09-01       Impact factor: 2.788

2.  Transgene-product expression levels in genetically engineered breeding stacks are equivalent to those of the single events.

Authors:  Denise T De Cerqueira; Brandon J Fast; Alessandra C Silveira; Rod A Herman
Journal:  GM Crops Food       Date:  2019-04-22       Impact factor: 3.074

3.  Advancing ecological risk assessment on genetically engineered breeding stacks with combined insect-resistance traits.

Authors:  Justin McDonald; Andrea Burns; Alan Raybould
Journal:  Transgenic Res       Date:  2020-01-17       Impact factor: 2.788

4.  Comparing agronomic and phenotypic plant characteristics between single and stacked events in soybean, maize, and cotton.

Authors:  Marcia Jose; Hallison Vertuan; Daniel Soares; Daniel Sordi; Luiz F Bellini; Rafael Kotsubo; Geraldo U Berger
Journal:  PLoS One       Date:  2020-04-27       Impact factor: 3.240

  4 in total

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