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Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity

Owing to the climate change impacts, waterlogging is one of the most hazardous abiotic stresses to crops, which also can result in a serious reduction in the quantity and quality of grape berry and wine production during the rainy season. Therefore, the exploration of the response mechanism of grape...

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Autores principales: Zhu, Xudong, Li, Xiaopeng, Jiu, Songtao, Zhang, Kekun, Wang, Chen, Fang, Jinggui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030322/
https://www.ncbi.nlm.nih.gov/pubmed/30110413
http://dx.doi.org/10.1098/rsos.172253
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author Zhu, Xudong
Li, Xiaopeng
Jiu, Songtao
Zhang, Kekun
Wang, Chen
Fang, Jinggui
author_facet Zhu, Xudong
Li, Xiaopeng
Jiu, Songtao
Zhang, Kekun
Wang, Chen
Fang, Jinggui
author_sort Zhu, Xudong
collection PubMed
description Owing to the climate change impacts, waterlogging is one of the most hazardous abiotic stresses to crops, which also can result in a serious reduction in the quantity and quality of grape berry and wine production during the rainy season. Therefore, the exploration of the response mechanism of grape to waterlogging is necessary, for which the analysis of the transcriptomic regulation networks of grapevine leaves in response to waterlogging stress was carried out. In this study, 12 634 genes were detected in both waterlogging stress and control grapevine plants, out of which 6837 genes were differentially expressed. A comparative analysis revealed that genes functioning in the antioxidant system, glycolysis and fermentation pathway, chlorophyll metabolism, amino acid metabolism and hormones were activated to reduce injury to grapes under the waterlogging stress. Meanwhile, genes encoding class-2 non-symbiotic haemoglobin were determined as important in waterlogging acclimation. Additionally, the expression variations of three marker genes were found to be informative and can be used to predict the viability of the grapevines subjected to waterlogging. This research not only probes the molecular mechanism underlying grapevine waterlogging tolerance but also puts forward an idea about the application of gene expression information to practical management.
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spelling pubmed-60303222018-07-17 Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity Zhu, Xudong Li, Xiaopeng Jiu, Songtao Zhang, Kekun Wang, Chen Fang, Jinggui R Soc Open Sci Biology (Whole Organism) Owing to the climate change impacts, waterlogging is one of the most hazardous abiotic stresses to crops, which also can result in a serious reduction in the quantity and quality of grape berry and wine production during the rainy season. Therefore, the exploration of the response mechanism of grape to waterlogging is necessary, for which the analysis of the transcriptomic regulation networks of grapevine leaves in response to waterlogging stress was carried out. In this study, 12 634 genes were detected in both waterlogging stress and control grapevine plants, out of which 6837 genes were differentially expressed. A comparative analysis revealed that genes functioning in the antioxidant system, glycolysis and fermentation pathway, chlorophyll metabolism, amino acid metabolism and hormones were activated to reduce injury to grapes under the waterlogging stress. Meanwhile, genes encoding class-2 non-symbiotic haemoglobin were determined as important in waterlogging acclimation. Additionally, the expression variations of three marker genes were found to be informative and can be used to predict the viability of the grapevines subjected to waterlogging. This research not only probes the molecular mechanism underlying grapevine waterlogging tolerance but also puts forward an idea about the application of gene expression information to practical management. The Royal Society Publishing 2018-06-27 /pmc/articles/PMC6030322/ /pubmed/30110413 http://dx.doi.org/10.1098/rsos.172253 Text en © 2018 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Biology (Whole Organism)
Zhu, Xudong
Li, Xiaopeng
Jiu, Songtao
Zhang, Kekun
Wang, Chen
Fang, Jinggui
Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
title Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
title_full Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
title_fullStr Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
title_full_unstemmed Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
title_short Analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
title_sort analysis of the regulation networks in grapevine reveals response to waterlogging stress and candidate gene-marker selection for damage severity
topic Biology (Whole Organism)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030322/
https://www.ncbi.nlm.nih.gov/pubmed/30110413
http://dx.doi.org/10.1098/rsos.172253
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