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Transcriptomic Analysis and Salt-Tolerance Gene Mining during Rice Germination

Salt stress is an important environmental factor affecting crop growth and development. One of the important ways to improve the salt tolerance of rice is to identify new salt-tolerance genes, reveal possible mechanisms, and apply them to the creation of new germplasm and the breeding of new varieti...

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Autores principales: Han, Xiao, Wu, Zhihai, Liu, Fangbiao, Wang, Yu, Wei, Xiaoshuang, Tian, Ping, Ling, Fenglou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454240/
https://www.ncbi.nlm.nih.gov/pubmed/37628608
http://dx.doi.org/10.3390/genes14081556
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author Han, Xiao
Wu, Zhihai
Liu, Fangbiao
Wang, Yu
Wei, Xiaoshuang
Tian, Ping
Ling, Fenglou
author_facet Han, Xiao
Wu, Zhihai
Liu, Fangbiao
Wang, Yu
Wei, Xiaoshuang
Tian, Ping
Ling, Fenglou
author_sort Han, Xiao
collection PubMed
description Salt stress is an important environmental factor affecting crop growth and development. One of the important ways to improve the salt tolerance of rice is to identify new salt-tolerance genes, reveal possible mechanisms, and apply them to the creation of new germplasm and the breeding of new varieties. In this study, the salt-sensitive japonica variety Tong 35 (T35) and salt-tolerant japonica variety Ji Nongda 709 (JND709) were used. Salt stress treatment with a 150 mmol/L NaCl solution (the control group was tested without salt stress treatment simultaneously) was continued until the test material was collected after the rice germination period. Twelve cDNA libraries were constructed, and 5 comparator groups were established for transcriptome sequencing. On average, 9.57G of raw sequencing data were generated per sample, with alignment to the reference genome above 96.88% and alignment to guanine-cytosine (GC) content above 53.86%. A total of 16,829 differentially expressed genes were present in the five comparison groups, of which 2390 genes were specifically expressed in T35 (category 1), 3306 genes were specifically expressed in JND709 (category 2), and 1708 genes were differentially expressed in both breeds (category 3). Differentially expressed genes were subjected to gene ontology (GO), functional enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, which revealed that these genes belonged to three main classes: molecular function, cellular components, and biological processes. KEGG pathway analysis showed that the significantly enriched pathways for these differentially expressed genes included phenylpropane biosynthesis, phytohormone signaling, and the interaction of plants with pathogens. In this study, we provided a reference for studying the molecular mechanism underlying salt tolerance during germination.
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spelling pubmed-104542402023-08-26 Transcriptomic Analysis and Salt-Tolerance Gene Mining during Rice Germination Han, Xiao Wu, Zhihai Liu, Fangbiao Wang, Yu Wei, Xiaoshuang Tian, Ping Ling, Fenglou Genes (Basel) Article Salt stress is an important environmental factor affecting crop growth and development. One of the important ways to improve the salt tolerance of rice is to identify new salt-tolerance genes, reveal possible mechanisms, and apply them to the creation of new germplasm and the breeding of new varieties. In this study, the salt-sensitive japonica variety Tong 35 (T35) and salt-tolerant japonica variety Ji Nongda 709 (JND709) were used. Salt stress treatment with a 150 mmol/L NaCl solution (the control group was tested without salt stress treatment simultaneously) was continued until the test material was collected after the rice germination period. Twelve cDNA libraries were constructed, and 5 comparator groups were established for transcriptome sequencing. On average, 9.57G of raw sequencing data were generated per sample, with alignment to the reference genome above 96.88% and alignment to guanine-cytosine (GC) content above 53.86%. A total of 16,829 differentially expressed genes were present in the five comparison groups, of which 2390 genes were specifically expressed in T35 (category 1), 3306 genes were specifically expressed in JND709 (category 2), and 1708 genes were differentially expressed in both breeds (category 3). Differentially expressed genes were subjected to gene ontology (GO), functional enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, which revealed that these genes belonged to three main classes: molecular function, cellular components, and biological processes. KEGG pathway analysis showed that the significantly enriched pathways for these differentially expressed genes included phenylpropane biosynthesis, phytohormone signaling, and the interaction of plants with pathogens. In this study, we provided a reference for studying the molecular mechanism underlying salt tolerance during germination. MDPI 2023-07-29 /pmc/articles/PMC10454240/ /pubmed/37628608 http://dx.doi.org/10.3390/genes14081556 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Han, Xiao
Wu, Zhihai
Liu, Fangbiao
Wang, Yu
Wei, Xiaoshuang
Tian, Ping
Ling, Fenglou
Transcriptomic Analysis and Salt-Tolerance Gene Mining during Rice Germination
title Transcriptomic Analysis and Salt-Tolerance Gene Mining during Rice Germination
title_full Transcriptomic Analysis and Salt-Tolerance Gene Mining during Rice Germination
title_fullStr Transcriptomic Analysis and Salt-Tolerance Gene Mining during Rice Germination
title_full_unstemmed Transcriptomic Analysis and Salt-Tolerance Gene Mining during Rice Germination
title_short Transcriptomic Analysis and Salt-Tolerance Gene Mining during Rice Germination
title_sort transcriptomic analysis and salt-tolerance gene mining during rice germination
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454240/
https://www.ncbi.nlm.nih.gov/pubmed/37628608
http://dx.doi.org/10.3390/genes14081556
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