Metabolic profiling of maize seeds with both insect- and herbicide-resistance genes (cry1Ab and epsps), dual herbicide-resistance genes (epsps and pat), and natural genotypic varieties
文献类型: 外文期刊
第一作者: Liu, Weixiao
作者: Liu, Weixiao;Dong, Mei;Meng, Lixia;Wan, Yusong;Jin, Wujun
作者机构:
关键词: Widely targeted metabolomics; Differentially accumulated metabolites; Unintended effects; Genetic modification; Natural genotypic varieties; Maize seeds
期刊名称:CHEMICAL AND BIOLOGICAL TECHNOLOGIES IN AGRICULTURE ( 影响因子:2.792; 五年影响因子:4.313 )
ISSN:
年卷期: 2021 年 8 卷 1 期
页码:
收录情况: SCI
摘要: Background: Widely targeted metabolomics was applied to estimate the differences in the metabolite profiles of maize seeds from 3 natural genotypic varieties and 4 genetically modified (GM) lines. Results: Pairwise comparison with their isogenic controls revealed 71, 121, 43 and 95 differentially accumulated metabolites (DAMs) in GM maize seeds of C0030.2.4, C0030.3.5, C0010.1.1 and C0010.3.1, respectively. KEGG pathway enrichment analysis showed that most of these DAMs participated in the biosynthesis of secondary metabolites and purine metabolism in GM maize C0030.2.4 and C0030.3.5, but participated in tryptophan metabolism and 2-oxocarboxylic acid metabolism in C0010.3.1 seeds and in metabolic pathways and the biosynthesis of secondary metabolites in C0010.1.1 seeds. The data also showed that the differences in metabolite accumulation, both total DAMs and co-DAMs, among the different natural genotypic varieties (418 DAMs and 39 co-DAMs) were greater than those caused by genetic modification (330 DAMs and 3 co-DAMs). Conclusions: None of the DAMs were identified as new or unintended, showing only changes in abundance in the studied maize seeds. The metabolite profile differences among the 3 non-GM lines were more notable than those among GM lines. Different genetic backgrounds affect metabolite profiling more than gene modification itself.
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