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

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 re...

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Autores principales: Fu, Wei, Zhu, Pengyu, Qu, Mingnan, Zhi, Wang, Zhang, Yongjiang, Li, Feiwu, Zhu, Shuifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820507/
https://www.ncbi.nlm.nih.gov/pubmed/33479482
http://dx.doi.org/10.1038/s41598-021-81637-2
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author Fu, Wei
Zhu, Pengyu
Qu, Mingnan
Zhi, Wang
Zhang, Yongjiang
Li, Feiwu
Zhu, Shuifang
author_facet Fu, Wei
Zhu, Pengyu
Qu, Mingnan
Zhi, Wang
Zhang, Yongjiang
Li, Feiwu
Zhu, Shuifang
author_sort Fu, Wei
collection PubMed
description 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.
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spelling pubmed-78205072021-01-26 Evaluation on reprogramed biological processes in transgenic maize varieties using transcriptomics and metabolomics Fu, Wei Zhu, Pengyu Qu, Mingnan Zhi, Wang Zhang, Yongjiang Li, Feiwu Zhu, Shuifang Sci Rep Article 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. Nature Publishing Group UK 2021-01-21 /pmc/articles/PMC7820507/ /pubmed/33479482 http://dx.doi.org/10.1038/s41598-021-81637-2 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Fu, Wei
Zhu, Pengyu
Qu, Mingnan
Zhi, Wang
Zhang, Yongjiang
Li, Feiwu
Zhu, Shuifang
Evaluation on reprogramed biological processes in transgenic maize varieties using transcriptomics and metabolomics
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820507/
https://www.ncbi.nlm.nih.gov/pubmed/33479482
http://dx.doi.org/10.1038/s41598-021-81637-2
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