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Systematic miRNome profiling reveals differential microRNAs in transgenic maize metabolism
BACKGROUND: While some genetically modified organisms (GMOs) are created to produce new double-stranded RNA molecules (dsRNA), in others, such molecules may occur as an unintended effect of the genetic engineering process. Furthermore, GMOs might produce naturally occurring dsRNA molecules in higher...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153861/ https://www.ncbi.nlm.nih.gov/pubmed/30294516 http://dx.doi.org/10.1186/s12302-018-0168-7 |
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author | Agapito-Tenfen, Sarah Zanon Vilperte, Vinicius Traavik, Terje Ingemar Nodari, Rubens Onofre |
author_facet | Agapito-Tenfen, Sarah Zanon Vilperte, Vinicius Traavik, Terje Ingemar Nodari, Rubens Onofre |
author_sort | Agapito-Tenfen, Sarah Zanon |
collection | PubMed |
description | BACKGROUND: While some genetically modified organisms (GMOs) are created to produce new double-stranded RNA molecules (dsRNA), in others, such molecules may occur as an unintended effect of the genetic engineering process. Furthermore, GMOs might produce naturally occurring dsRNA molecules in higher or lower quantities than its non-transgenic counterpart. This study is the first to use high-throughput technology to characterize the miRNome of commercialized GM maize events and to investigate potential alterations in miRNA regulatory networks. RESULTS: Thirteen different conserved miRNAs were found to be dys-regulated in GM samples. The insecticide Bt GM variety had the most distinct miRNome. These miRNAs target a range of endogenous transcripts, such as transcription factors and nucleic acid binding domains, which play key molecular functions in basic genetic regulation. In addition, we have identified 20 potential novel miRNAs with target transcripts involved in lipid metabolism in maize. isomiRs were also found in 96 conserved miRNAs sequences, as well as potential transgenic miRNA sequences, which both can be a source of potential off-target effects in the plant genome. We have also provided information on technical limitations and when to carry on additional in vivo experimental testing. CONCLUSIONS: These findings do not reveal hazards per se but show that robust and reproducible miRNA profiling technique can strengthen the assessment of risk by detecting any new intended and unintended dsRNA molecules, regardless of the outcome, at any stage of GMO development. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12302-018-0168-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6153861 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-61538612018-10-04 Systematic miRNome profiling reveals differential microRNAs in transgenic maize metabolism Agapito-Tenfen, Sarah Zanon Vilperte, Vinicius Traavik, Terje Ingemar Nodari, Rubens Onofre Environ Sci Eur Research BACKGROUND: While some genetically modified organisms (GMOs) are created to produce new double-stranded RNA molecules (dsRNA), in others, such molecules may occur as an unintended effect of the genetic engineering process. Furthermore, GMOs might produce naturally occurring dsRNA molecules in higher or lower quantities than its non-transgenic counterpart. This study is the first to use high-throughput technology to characterize the miRNome of commercialized GM maize events and to investigate potential alterations in miRNA regulatory networks. RESULTS: Thirteen different conserved miRNAs were found to be dys-regulated in GM samples. The insecticide Bt GM variety had the most distinct miRNome. These miRNAs target a range of endogenous transcripts, such as transcription factors and nucleic acid binding domains, which play key molecular functions in basic genetic regulation. In addition, we have identified 20 potential novel miRNAs with target transcripts involved in lipid metabolism in maize. isomiRs were also found in 96 conserved miRNAs sequences, as well as potential transgenic miRNA sequences, which both can be a source of potential off-target effects in the plant genome. We have also provided information on technical limitations and when to carry on additional in vivo experimental testing. CONCLUSIONS: These findings do not reveal hazards per se but show that robust and reproducible miRNA profiling technique can strengthen the assessment of risk by detecting any new intended and unintended dsRNA molecules, regardless of the outcome, at any stage of GMO development. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12302-018-0168-7) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-09-19 2018 /pmc/articles/PMC6153861/ /pubmed/30294516 http://dx.doi.org/10.1186/s12302-018-0168-7 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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. |
spellingShingle | Research Agapito-Tenfen, Sarah Zanon Vilperte, Vinicius Traavik, Terje Ingemar Nodari, Rubens Onofre Systematic miRNome profiling reveals differential microRNAs in transgenic maize metabolism |
title | Systematic miRNome profiling reveals differential microRNAs in transgenic maize metabolism |
title_full | Systematic miRNome profiling reveals differential microRNAs in transgenic maize metabolism |
title_fullStr | Systematic miRNome profiling reveals differential microRNAs in transgenic maize metabolism |
title_full_unstemmed | Systematic miRNome profiling reveals differential microRNAs in transgenic maize metabolism |
title_short | Systematic miRNome profiling reveals differential microRNAs in transgenic maize metabolism |
title_sort | systematic mirnome profiling reveals differential micrornas in transgenic maize metabolism |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153861/ https://www.ncbi.nlm.nih.gov/pubmed/30294516 http://dx.doi.org/10.1186/s12302-018-0168-7 |
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