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Transcriptional Network Analysis Reveals Drought Resistance Mechanisms of AP2/ERF Transgenic Rice

This study was designed to investigate at the molecular level how a transgenic version of rice “Nipponbare” obtained a drought-resistant phenotype. Using multi-omics sequencing data, we compared wild-type rice (WT) and a transgenic version (erf71) that had obtained a drought-resistant phenotype by o...

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Autores principales: Ahn, Hongryul, Jung, Inuk, Shin, Seon-Ju, Park, Jinwoo, Rhee, Sungmin, Kim, Ju-Kon, Jung, Woosuk, Kwon, Hawk-Bin, Kim, Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471331/
https://www.ncbi.nlm.nih.gov/pubmed/28663756
http://dx.doi.org/10.3389/fpls.2017.01044
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author Ahn, Hongryul
Jung, Inuk
Shin, Seon-Ju
Park, Jinwoo
Rhee, Sungmin
Kim, Ju-Kon
Jung, Woosuk
Kwon, Hawk-Bin
Kim, Sun
author_facet Ahn, Hongryul
Jung, Inuk
Shin, Seon-Ju
Park, Jinwoo
Rhee, Sungmin
Kim, Ju-Kon
Jung, Woosuk
Kwon, Hawk-Bin
Kim, Sun
author_sort Ahn, Hongryul
collection PubMed
description This study was designed to investigate at the molecular level how a transgenic version of rice “Nipponbare” obtained a drought-resistant phenotype. Using multi-omics sequencing data, we compared wild-type rice (WT) and a transgenic version (erf71) that had obtained a drought-resistant phenotype by overexpressing OsERF71, a member of the AP2/ERF transcription factor (TF) family. A comprehensive bioinformatics analysis pipeline, including TF networks and a cascade tree, was developed for the analysis of multi-omics data. The results of the analysis showed that the presence of OsERF71 at the source of the network controlled global gene expression levels in a specific manner to make erf71 survive longer than WT. Our analysis of the time-series transcriptome data suggests that erf71 diverted more energy to survival-critical mechanisms related to translation, oxidative response, and DNA replication, while further suppressing energy-consuming mechanisms, such as photosynthesis. To support this hypothesis further, we measured the net photosynthesis level under physiological conditions, which confirmed the further suppression of photosynthesis in erf71. In summary, our work presents a comprehensive snapshot of transcriptional modification in transgenic rice and shows how this induced the plants to acquire a drought-resistant phenotype.
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spelling pubmed-54713312017-06-29 Transcriptional Network Analysis Reveals Drought Resistance Mechanisms of AP2/ERF Transgenic Rice Ahn, Hongryul Jung, Inuk Shin, Seon-Ju Park, Jinwoo Rhee, Sungmin Kim, Ju-Kon Jung, Woosuk Kwon, Hawk-Bin Kim, Sun Front Plant Sci Plant Science This study was designed to investigate at the molecular level how a transgenic version of rice “Nipponbare” obtained a drought-resistant phenotype. Using multi-omics sequencing data, we compared wild-type rice (WT) and a transgenic version (erf71) that had obtained a drought-resistant phenotype by overexpressing OsERF71, a member of the AP2/ERF transcription factor (TF) family. A comprehensive bioinformatics analysis pipeline, including TF networks and a cascade tree, was developed for the analysis of multi-omics data. The results of the analysis showed that the presence of OsERF71 at the source of the network controlled global gene expression levels in a specific manner to make erf71 survive longer than WT. Our analysis of the time-series transcriptome data suggests that erf71 diverted more energy to survival-critical mechanisms related to translation, oxidative response, and DNA replication, while further suppressing energy-consuming mechanisms, such as photosynthesis. To support this hypothesis further, we measured the net photosynthesis level under physiological conditions, which confirmed the further suppression of photosynthesis in erf71. In summary, our work presents a comprehensive snapshot of transcriptional modification in transgenic rice and shows how this induced the plants to acquire a drought-resistant phenotype. Frontiers Media S.A. 2017-06-15 /pmc/articles/PMC5471331/ /pubmed/28663756 http://dx.doi.org/10.3389/fpls.2017.01044 Text en Copyright © 2017 Ahn, Jung, Shin, Park, Rhee, Kim, Jung, Kwon and Kim. http://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) or licensor 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
Ahn, Hongryul
Jung, Inuk
Shin, Seon-Ju
Park, Jinwoo
Rhee, Sungmin
Kim, Ju-Kon
Jung, Woosuk
Kwon, Hawk-Bin
Kim, Sun
Transcriptional Network Analysis Reveals Drought Resistance Mechanisms of AP2/ERF Transgenic Rice
title Transcriptional Network Analysis Reveals Drought Resistance Mechanisms of AP2/ERF Transgenic Rice
title_full Transcriptional Network Analysis Reveals Drought Resistance Mechanisms of AP2/ERF Transgenic Rice
title_fullStr Transcriptional Network Analysis Reveals Drought Resistance Mechanisms of AP2/ERF Transgenic Rice
title_full_unstemmed Transcriptional Network Analysis Reveals Drought Resistance Mechanisms of AP2/ERF Transgenic Rice
title_short Transcriptional Network Analysis Reveals Drought Resistance Mechanisms of AP2/ERF Transgenic Rice
title_sort transcriptional network analysis reveals drought resistance mechanisms of ap2/erf transgenic rice
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5471331/
https://www.ncbi.nlm.nih.gov/pubmed/28663756
http://dx.doi.org/10.3389/fpls.2017.01044
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