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Comparative analysis of miRNA expression profiles in transgenic and non-transgenic rice using miRNA-Seq

Safety assessment for genetically modified organisms (GMOs) is required before their release. To date, miRNAs that play important roles in eukaryotic gene regulation have not been considered in the current assessment system. In this study, we identified 6 independent Bt and EPSPS GM rice lines using...

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Autores principales: Peng, Cheng, Chen, Xiaoyun, Wang, Xiaofu, Xu, Xiaoli, Wei, Wei, Wang, Congmao, Xu, Junfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762784/
https://www.ncbi.nlm.nih.gov/pubmed/29321648
http://dx.doi.org/10.1038/s41598-017-18723-x
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author Peng, Cheng
Chen, Xiaoyun
Wang, Xiaofu
Xu, Xiaoli
Wei, Wei
Wang, Congmao
Xu, Junfeng
author_facet Peng, Cheng
Chen, Xiaoyun
Wang, Xiaofu
Xu, Xiaoli
Wei, Wei
Wang, Congmao
Xu, Junfeng
author_sort Peng, Cheng
collection PubMed
description Safety assessment for genetically modified organisms (GMOs) is required before their release. To date, miRNAs that play important roles in eukaryotic gene regulation have not been considered in the current assessment system. In this study, we identified 6 independent Bt and EPSPS GM rice lines using PCR and immune strip. We analyzed the expression levels of Cry1Ac and EPSPS using quantitative real-time PCR and western blot. Further, miRNAs from the developing seeds of the 6 GM rice lines and the wild-type line were investigated using deep sequencing and bioinformatic approaches. Although these GM lines have different types of integration sites, copy numbers, and levels of gene expression, 21 differentially expressed miRNAs have been found compared to wild type. There is no correlation between transgenic protein expression level and the quantity of differentially expressed miRNAs. This study provides useful data about the miRNA composition of GM plants, and it might be helpful for future risk assessments of miRNA-based GM plants.
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spelling pubmed-57627842018-01-17 Comparative analysis of miRNA expression profiles in transgenic and non-transgenic rice using miRNA-Seq Peng, Cheng Chen, Xiaoyun Wang, Xiaofu Xu, Xiaoli Wei, Wei Wang, Congmao Xu, Junfeng Sci Rep Article Safety assessment for genetically modified organisms (GMOs) is required before their release. To date, miRNAs that play important roles in eukaryotic gene regulation have not been considered in the current assessment system. In this study, we identified 6 independent Bt and EPSPS GM rice lines using PCR and immune strip. We analyzed the expression levels of Cry1Ac and EPSPS using quantitative real-time PCR and western blot. Further, miRNAs from the developing seeds of the 6 GM rice lines and the wild-type line were investigated using deep sequencing and bioinformatic approaches. Although these GM lines have different types of integration sites, copy numbers, and levels of gene expression, 21 differentially expressed miRNAs have been found compared to wild type. There is no correlation between transgenic protein expression level and the quantity of differentially expressed miRNAs. This study provides useful data about the miRNA composition of GM plants, and it might be helpful for future risk assessments of miRNA-based GM plants. Nature Publishing Group UK 2018-01-10 /pmc/articles/PMC5762784/ /pubmed/29321648 http://dx.doi.org/10.1038/s41598-017-18723-x Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Peng, Cheng
Chen, Xiaoyun
Wang, Xiaofu
Xu, Xiaoli
Wei, Wei
Wang, Congmao
Xu, Junfeng
Comparative analysis of miRNA expression profiles in transgenic and non-transgenic rice using miRNA-Seq
title Comparative analysis of miRNA expression profiles in transgenic and non-transgenic rice using miRNA-Seq
title_full Comparative analysis of miRNA expression profiles in transgenic and non-transgenic rice using miRNA-Seq
title_fullStr Comparative analysis of miRNA expression profiles in transgenic and non-transgenic rice using miRNA-Seq
title_full_unstemmed Comparative analysis of miRNA expression profiles in transgenic and non-transgenic rice using miRNA-Seq
title_short Comparative analysis of miRNA expression profiles in transgenic and non-transgenic rice using miRNA-Seq
title_sort comparative analysis of mirna expression profiles in transgenic and non-transgenic rice using mirna-seq
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762784/
https://www.ncbi.nlm.nih.gov/pubmed/29321648
http://dx.doi.org/10.1038/s41598-017-18723-x
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