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

Abstract 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 differenti...

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Autores principales: Weixiao Liu, Mei Dong, Lixia Meng, Yusong Wan, Wujun Jin
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Publicado: SpringerOpen 2021
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spelling oai:doaj.org-article:aa8a175f8f294fb6826d5be336deced52021-11-28T12:03:59ZMetabolic profiling of maize seeds with both insect- and herbicide-resistance genes (cry1Ab and epsps), dual herbicide-resistance genes (epsps and pat), and natural genotypic varieties10.1186/s40538-021-00257-02196-5641https://doaj.org/article/aa8a175f8f294fb6826d5be336deced52021-11-01T00:00:00Zhttps://doi.org/10.1186/s40538-021-00257-0https://doaj.org/toc/2196-5641Abstract 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. Graphic abstractWeixiao LiuMei DongLixia MengYusong WanWujun JinSpringerOpenarticleWidely targeted metabolomicsDifferentially accumulated metabolitesUnintended effectsGenetic modificationNatural genotypic varietiesMaize seedsAgricultureSENChemical and Biological Technologies in Agriculture, Vol 8, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Widely targeted metabolomics
Differentially accumulated metabolites
Unintended effects
Genetic modification
Natural genotypic varieties
Maize seeds
Agriculture
S
spellingShingle Widely targeted metabolomics
Differentially accumulated metabolites
Unintended effects
Genetic modification
Natural genotypic varieties
Maize seeds
Agriculture
S
Weixiao Liu
Mei Dong
Lixia Meng
Yusong Wan
Wujun Jin
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
description Abstract 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. Graphic abstract
format article
author Weixiao Liu
Mei Dong
Lixia Meng
Yusong Wan
Wujun Jin
author_facet Weixiao Liu
Mei Dong
Lixia Meng
Yusong Wan
Wujun Jin
author_sort Weixiao Liu
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher SpringerOpen
publishDate 2021
url https://doaj.org/article/aa8a175f8f294fb6826d5be336deced5
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