当前位置: X-MOL 学术GM Crops Food › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Integrated proteomics and metabolomics analysis of transgenic and gene-stacked maize line seeds
GM Crops & Food ( IF 3.9 ) Pub Date : 2021-06-07 , DOI: 10.1080/21645698.2021.1934351
Weixiao Liu 1 , Haiming Zhao 2 , Chaohua Miao 1 , Wujun Jin 1
Affiliation  

ABSTRACT

Unintended effects of genetically modified (GM) crops may pose safety issues. Omics techniques provide researchers with useful tools to assess such unintended effects. Proteomics and metabolomics analyses were performed for three GM maize varieties, 2A-7, CC-2, and 2A-7×CC-2 stacked transgenic maize, and the corresponding non-GM parent Zheng58.

Proteomics revealed 120, 271 and 135 maize differentially expressed proteins (DEPs) in the 2A-7/Zheng58, CC-2/Zheng58 and 2A-7×CC-2/Zheng58 comparisons, respectively. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that most DEPs participated in metabolic pathways and the biosynthesis of secondary metabolite. Metabolomics revealed 179, 135 and 131 differentially accumulated metabolites (DAMs) in the 2A-7/Zheng58, CC-2/Zheng58 and 2A-7×CC-2/Zheng58 comparisons, respectively. Based on KEGG enrichment analysis, most DAMs are involved in the biosynthesis of secondary metabolite and metabolic pathways. According to integrated proteomics and metabolomics analysis, the introduction of exogenous EPSPS did not affect the expression levels of six other enzymes or the abundance of seven metabolites involved in the shikimic acid pathway in CC-2 and 2A-7×CC-2 seeds. Six co-DEPs annotated by integrated proteomics and metabolomics pathway analysis were further analyzed by qRT-PCR.

This study successfully employed integrated proteomic and metabolomic technology to assess unintended changes in maize varieties. The results suggest that GM and gene stacking do not cause significantly unintended effects.



中文翻译:

转基因和基因堆积玉米品系种子的综合蛋白质组学和代谢组学分析

摘要

转基因 (GM) 作物的意外影响可能会带来安全问题。组学技术为研究人员提供了有用的工具来评估此类意外影响。对三个转基因玉米品种 2A-7、CC-2 和 2A-7×CC-2 叠加转基因玉米以及相应的非转基因亲本 Zheng58 进行了蛋白质组学和代谢组学分析。

蛋白质组学在 2A-7/Zheng58、CC-2/Zheng58 和 2A-7×CC-2/Zheng58 比较中分别显示了 120、271 和 135 个玉米差异表达蛋白 (DEP)。京都基因和基因组百科全书 (KEGG) 通路富集分析表明,大多数 DEP 参与代谢通路和次生代谢物的生物合成。代谢组学在 2A-7/Zheng58、CC-2/Zheng58 和 2A-7×CC-2/Zheng58 比较中分别显示了 179、135 和 131 种差异累积代谢物 (DAM)。基于 KEGG 富集分析,大多数 DAM 参与次生代谢物和代谢途径的生物合成。根据综合蛋白质组学和代谢组学分析,外源EPSPS的引入不影响CC-2和2A-7×CC-2种子中莽草酸途径中涉及的六种其他酶的表达水平或七种代谢物的丰度。通过 qRT-PCR 进一步分析了通过集成蛋白质组学和代谢组学途径分析注释的六个 co-DEP。

这项研究成功地采用了综合蛋白质组学和代谢组学技术来评估玉米品种的意外变化。结果表明,转基因和基因堆积不会造成明显的意外影响。

更新日期:2021-06-08
down
wechat
bug