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Transcriptome analysis of two contrasting rice cultivars during alkaline stress

Soil alkalinity greatly affects plant growth and crop productivity. Although RNA-Seq analyses have been conducted to investigate genome-wide gene expression in response to alkaline stress in many plants, the expressions of alkali-responsive genes in rice have not been previously investigated. In thi...

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Autores principales: Li, Ning, Liu, Hualong, Sun, Jian, Zheng, Hongliang, Wang, Jingguo, Yang, Luomiao, Zhao, Hongwei, Zou, Detang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018505/
https://www.ncbi.nlm.nih.gov/pubmed/29941956
http://dx.doi.org/10.1038/s41598-018-27940-x
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author Li, Ning
Liu, Hualong
Sun, Jian
Zheng, Hongliang
Wang, Jingguo
Yang, Luomiao
Zhao, Hongwei
Zou, Detang
author_facet Li, Ning
Liu, Hualong
Sun, Jian
Zheng, Hongliang
Wang, Jingguo
Yang, Luomiao
Zhao, Hongwei
Zou, Detang
author_sort Li, Ning
collection PubMed
description Soil alkalinity greatly affects plant growth and crop productivity. Although RNA-Seq analyses have been conducted to investigate genome-wide gene expression in response to alkaline stress in many plants, the expressions of alkali-responsive genes in rice have not been previously investigated. In this study, the transcriptomic data between an alkaline-tolerant (WD20342) and an alkaline-sensitive (Caidao) rice cultivar were compared under alkaline stress conditions. A total of 962 important alkali-responsive (IAR) genes from highly differentially expressed genes (DEGs) were identified, including 28 alkaline-resistant cultivar-related genes, 771 alkaline-sensitive cultivar-related genes and 163 cultivar-non-specific genes. Gene ontology (GO) analysis indicated the enrichment of IAR genes involved in various stimulus or stress responses. According to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, the IAR genes were related primarily to plant hormone signal transduction and biosynthesis of secondary metabolites. Additionally, among these 962 IAR genes, 74 were transcription factors and 15 occurred with differential alternative splicing between the different samples after alkaline treatment. Our results provide a valuable resource on alkali-responsive genes and should benefit the improvement of alkaline stress tolerance in rice.
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spelling pubmed-60185052018-07-06 Transcriptome analysis of two contrasting rice cultivars during alkaline stress Li, Ning Liu, Hualong Sun, Jian Zheng, Hongliang Wang, Jingguo Yang, Luomiao Zhao, Hongwei Zou, Detang Sci Rep Article Soil alkalinity greatly affects plant growth and crop productivity. Although RNA-Seq analyses have been conducted to investigate genome-wide gene expression in response to alkaline stress in many plants, the expressions of alkali-responsive genes in rice have not been previously investigated. In this study, the transcriptomic data between an alkaline-tolerant (WD20342) and an alkaline-sensitive (Caidao) rice cultivar were compared under alkaline stress conditions. A total of 962 important alkali-responsive (IAR) genes from highly differentially expressed genes (DEGs) were identified, including 28 alkaline-resistant cultivar-related genes, 771 alkaline-sensitive cultivar-related genes and 163 cultivar-non-specific genes. Gene ontology (GO) analysis indicated the enrichment of IAR genes involved in various stimulus or stress responses. According to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, the IAR genes were related primarily to plant hormone signal transduction and biosynthesis of secondary metabolites. Additionally, among these 962 IAR genes, 74 were transcription factors and 15 occurred with differential alternative splicing between the different samples after alkaline treatment. Our results provide a valuable resource on alkali-responsive genes and should benefit the improvement of alkaline stress tolerance in rice. Nature Publishing Group UK 2018-06-25 /pmc/articles/PMC6018505/ /pubmed/29941956 http://dx.doi.org/10.1038/s41598-018-27940-x Text en © The Author(s) 2018 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
Li, Ning
Liu, Hualong
Sun, Jian
Zheng, Hongliang
Wang, Jingguo
Yang, Luomiao
Zhao, Hongwei
Zou, Detang
Transcriptome analysis of two contrasting rice cultivars during alkaline stress
title Transcriptome analysis of two contrasting rice cultivars during alkaline stress
title_full Transcriptome analysis of two contrasting rice cultivars during alkaline stress
title_fullStr Transcriptome analysis of two contrasting rice cultivars during alkaline stress
title_full_unstemmed Transcriptome analysis of two contrasting rice cultivars during alkaline stress
title_short Transcriptome analysis of two contrasting rice cultivars during alkaline stress
title_sort transcriptome analysis of two contrasting rice cultivars during alkaline stress
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018505/
https://www.ncbi.nlm.nih.gov/pubmed/29941956
http://dx.doi.org/10.1038/s41598-018-27940-x
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