Evaluation on reprogramed biological processes in transgenic maize varieties using transcriptomics and metabolomics

Abstract Genetic engineering (GM) has great potential to improve maize productivity, but rises some concerns on unintended effects, and equivalent as their comparators. There are some limitations through targeted analysis to detect the UE in genetically modified organisms in many previous studies. W...

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Main Authors: Wei Fu, Pengyu Zhu, Mingnan Qu, Wang Zhi, Yongjiang Zhang, Feiwu Li, Shuifang Zhu
Format: Article
Language:English
Published: Nature Publishing Group 2021-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-81637-2
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spelling doaj-c4208295f6a04eafa54d716acf47b95a2021-01-24T12:27:58ZengNature Publishing GroupScientific Reports2045-23222021-01-0111111310.1038/s41598-021-81637-2Evaluation on reprogramed biological processes in transgenic maize varieties using transcriptomics and metabolomicsWei Fu0Pengyu Zhu1Mingnan Qu2Wang Zhi3Yongjiang Zhang4Feiwu Li5Shuifang Zhu6Institute of Plant Quarantine, Chinese Academy of Inspection and QuarantineInstitute of Plant Quarantine, Chinese Academy of Inspection and QuarantineNational Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant SciencesInstitute of Plant Quarantine, Chinese Academy of Inspection and QuarantineInstitute of Plant Quarantine, Chinese Academy of Inspection and QuarantineInstitute of Agricultural Quality Standard and Testing Technology, Jilin Academy of Agricultural SciencesInstitute of Plant Quarantine, Chinese Academy of Inspection and QuarantineAbstract Genetic engineering (GM) has great potential to improve maize productivity, but rises some concerns on unintended effects, and equivalent as their comparators. There are some limitations through targeted analysis to detect the UE in genetically modified organisms in many previous studies. We here reported a case-study on the effects of introducing herbicides and insect resistance (HIR) gene cassette on molecular profiling (transcripts and metabolites) in a popular maize variety Zhengdan958 (ZD958) in China. We found that introducing HIR gene cassette bring a limited numbers of differential abundant genes (DAGs) or differential abundant metabolites (DAMs) between transgenic events and non-transgenic control. In contrast, averaged 10 times more DAGs and DAMs were observed when performed comparison under different growing environments in three different ecological regions of China than the numbers induced by gene effects. Major biological pathways relating to stress response or signaling transduction could explain somehow the effects of growing environments. We further compared two transgenic events mediated ZD958 (GM-ZD958) with either transgenic parent GM-Z58, and other genetic background nonGM-Z58, nonGM-ZD958, and Chang7-2. We found that the numbers of DAGs and DAMs between GM-ZD958 and its one parent maize variety, Z58 or GM-Z58 is equivalent, but not Chang7-2. These findings suggest that greater effects due to different genetic background on altered molecular profiling than gene modification itself. This study provides a case evidence indicating marginal effects of gene pleiotropic effects, and environmental effects should be emphasized.https://doi.org/10.1038/s41598-021-81637-2
collection DOAJ
language English
format Article
sources DOAJ
author Wei Fu
Pengyu Zhu
Mingnan Qu
Wang Zhi
Yongjiang Zhang
Feiwu Li
Shuifang Zhu
spellingShingle Wei Fu
Pengyu Zhu
Mingnan Qu
Wang Zhi
Yongjiang Zhang
Feiwu Li
Shuifang Zhu
Evaluation on reprogramed biological processes in transgenic maize varieties using transcriptomics and metabolomics
Scientific Reports
author_facet Wei Fu
Pengyu Zhu
Mingnan Qu
Wang Zhi
Yongjiang Zhang
Feiwu Li
Shuifang Zhu
author_sort Wei Fu
title Evaluation on reprogramed biological processes in transgenic maize varieties using transcriptomics and metabolomics
title_short Evaluation on reprogramed biological processes in transgenic maize varieties using transcriptomics and metabolomics
title_full Evaluation on reprogramed biological processes in transgenic maize varieties using transcriptomics and metabolomics
title_fullStr Evaluation on reprogramed biological processes in transgenic maize varieties using transcriptomics and metabolomics
title_full_unstemmed Evaluation on reprogramed biological processes in transgenic maize varieties using transcriptomics and metabolomics
title_sort evaluation on reprogramed biological processes in transgenic maize varieties using transcriptomics and metabolomics
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-01-01
description Abstract Genetic engineering (GM) has great potential to improve maize productivity, but rises some concerns on unintended effects, and equivalent as their comparators. There are some limitations through targeted analysis to detect the UE in genetically modified organisms in many previous studies. We here reported a case-study on the effects of introducing herbicides and insect resistance (HIR) gene cassette on molecular profiling (transcripts and metabolites) in a popular maize variety Zhengdan958 (ZD958) in China. We found that introducing HIR gene cassette bring a limited numbers of differential abundant genes (DAGs) or differential abundant metabolites (DAMs) between transgenic events and non-transgenic control. In contrast, averaged 10 times more DAGs and DAMs were observed when performed comparison under different growing environments in three different ecological regions of China than the numbers induced by gene effects. Major biological pathways relating to stress response or signaling transduction could explain somehow the effects of growing environments. We further compared two transgenic events mediated ZD958 (GM-ZD958) with either transgenic parent GM-Z58, and other genetic background nonGM-Z58, nonGM-ZD958, and Chang7-2. We found that the numbers of DAGs and DAMs between GM-ZD958 and its one parent maize variety, Z58 or GM-Z58 is equivalent, but not Chang7-2. These findings suggest that greater effects due to different genetic background on altered molecular profiling than gene modification itself. This study provides a case evidence indicating marginal effects of gene pleiotropic effects, and environmental effects should be emphasized.
url https://doi.org/10.1038/s41598-021-81637-2
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