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RNA Interference-Based Genetic Engineering Maize Resistant to Apolygus lucorum Does Not Manifest Unpredictable Unintended Effects Relative to Conventional Breeding: Short Interfering RNA, Transcriptome, and Metabolome Analysis

The use of omics techniques to analyze the differences between genetic engineering organisms and their parents can identify unintended effects and explore whether such unintended effects will have negative consequences. In order to evaluate whether genetic engineering will cause changes in crops bey...

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Autores principales: Huang, Chunmeng, Wang, Zhi, Zhu, Pengyu, Wang, Chenguang, Wang, Chaonan, Xu, Wenjie, Li, Zhihong, Fu, Wei, Zhu, Shuifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908210/
https://www.ncbi.nlm.nih.gov/pubmed/35283891
http://dx.doi.org/10.3389/fpls.2022.745708
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author Huang, Chunmeng
Wang, Zhi
Zhu, Pengyu
Wang, Chenguang
Wang, Chaonan
Xu, Wenjie
Li, Zhihong
Fu, Wei
Zhu, Shuifang
author_facet Huang, Chunmeng
Wang, Zhi
Zhu, Pengyu
Wang, Chenguang
Wang, Chaonan
Xu, Wenjie
Li, Zhihong
Fu, Wei
Zhu, Shuifang
author_sort Huang, Chunmeng
collection PubMed
description The use of omics techniques to analyze the differences between genetic engineering organisms and their parents can identify unintended effects and explore whether such unintended effects will have negative consequences. In order to evaluate whether genetic engineering will cause changes in crops beyond the changes introduced by conventional plant breeding, we compared the extent of transcriptome and metabolome modification in the leaves of three lines developed by RNA interference (RNAi)-based genetic engineering and three lines developed by conventional breeding. The results showed that both types of plant breeding methods can manifest changes at the short interfering RNA (siRNA), transcriptomic, and metabolic levels. Relative expression analysis of potential off-target gene revealed that there was no broad gene decline in the three RNAi-based genetic engineering lines. We found that the number of DEGs and DAMs between RNAi-based genetic engineering lines and the parental line was less than that between conventional breeding lines. These unique DEGs and DAMs between RNAi-based genetic engineering lines and the parental lines were not enriched in detrimental metabolic pathways. The results suggest that RNAi-based genetic engineering do not cause unintended effects beyond those found in conventional breeding in maize.
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spelling pubmed-89082102022-03-11 RNA Interference-Based Genetic Engineering Maize Resistant to Apolygus lucorum Does Not Manifest Unpredictable Unintended Effects Relative to Conventional Breeding: Short Interfering RNA, Transcriptome, and Metabolome Analysis Huang, Chunmeng Wang, Zhi Zhu, Pengyu Wang, Chenguang Wang, Chaonan Xu, Wenjie Li, Zhihong Fu, Wei Zhu, Shuifang Front Plant Sci Plant Science The use of omics techniques to analyze the differences between genetic engineering organisms and their parents can identify unintended effects and explore whether such unintended effects will have negative consequences. In order to evaluate whether genetic engineering will cause changes in crops beyond the changes introduced by conventional plant breeding, we compared the extent of transcriptome and metabolome modification in the leaves of three lines developed by RNA interference (RNAi)-based genetic engineering and three lines developed by conventional breeding. The results showed that both types of plant breeding methods can manifest changes at the short interfering RNA (siRNA), transcriptomic, and metabolic levels. Relative expression analysis of potential off-target gene revealed that there was no broad gene decline in the three RNAi-based genetic engineering lines. We found that the number of DEGs and DAMs between RNAi-based genetic engineering lines and the parental line was less than that between conventional breeding lines. These unique DEGs and DAMs between RNAi-based genetic engineering lines and the parental lines were not enriched in detrimental metabolic pathways. The results suggest that RNAi-based genetic engineering do not cause unintended effects beyond those found in conventional breeding in maize. Frontiers Media S.A. 2022-02-24 /pmc/articles/PMC8908210/ /pubmed/35283891 http://dx.doi.org/10.3389/fpls.2022.745708 Text en Copyright © 2022 Huang, Wang, Zhu, Wang, Wang, Xu, Li, Fu and Zhu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Huang, Chunmeng
Wang, Zhi
Zhu, Pengyu
Wang, Chenguang
Wang, Chaonan
Xu, Wenjie
Li, Zhihong
Fu, Wei
Zhu, Shuifang
RNA Interference-Based Genetic Engineering Maize Resistant to Apolygus lucorum Does Not Manifest Unpredictable Unintended Effects Relative to Conventional Breeding: Short Interfering RNA, Transcriptome, and Metabolome Analysis
title RNA Interference-Based Genetic Engineering Maize Resistant to Apolygus lucorum Does Not Manifest Unpredictable Unintended Effects Relative to Conventional Breeding: Short Interfering RNA, Transcriptome, and Metabolome Analysis
title_full RNA Interference-Based Genetic Engineering Maize Resistant to Apolygus lucorum Does Not Manifest Unpredictable Unintended Effects Relative to Conventional Breeding: Short Interfering RNA, Transcriptome, and Metabolome Analysis
title_fullStr RNA Interference-Based Genetic Engineering Maize Resistant to Apolygus lucorum Does Not Manifest Unpredictable Unintended Effects Relative to Conventional Breeding: Short Interfering RNA, Transcriptome, and Metabolome Analysis
title_full_unstemmed RNA Interference-Based Genetic Engineering Maize Resistant to Apolygus lucorum Does Not Manifest Unpredictable Unintended Effects Relative to Conventional Breeding: Short Interfering RNA, Transcriptome, and Metabolome Analysis
title_short RNA Interference-Based Genetic Engineering Maize Resistant to Apolygus lucorum Does Not Manifest Unpredictable Unintended Effects Relative to Conventional Breeding: Short Interfering RNA, Transcriptome, and Metabolome Analysis
title_sort rna interference-based genetic engineering maize resistant to apolygus lucorum does not manifest unpredictable unintended effects relative to conventional breeding: short interfering rna, transcriptome, and metabolome analysis
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908210/
https://www.ncbi.nlm.nih.gov/pubmed/35283891
http://dx.doi.org/10.3389/fpls.2022.745708
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