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Comprehensive Transcriptome Analysis of Responses during Cold Stress in Wheat (Triticum aestivum L.)

Wheat production is often impacted by pre-winter freezing damage and cold spells in later spring. To study the influences of cold stress on wheat seedlings, unstressed Jing 841 was sampled once at the seedling stage, followed by 4 °C stress treatment for 30 days and once every 10 days. A total of 12...

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Autores principales: Li, Lei, Han, Chenglin, Yang, Jinwei, Tian, Zhiqiang, Jiang, Ruyun, Yang, Fei, Jiao, Kemeng, Qi, Menglei, Liu, Lili, Zhang, Baozhu, Niu, Jishan, Jiang, Yumei, Li, Yongchun, Yin, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137996/
https://www.ncbi.nlm.nih.gov/pubmed/37107602
http://dx.doi.org/10.3390/genes14040844
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author Li, Lei
Han, Chenglin
Yang, Jinwei
Tian, Zhiqiang
Jiang, Ruyun
Yang, Fei
Jiao, Kemeng
Qi, Menglei
Liu, Lili
Zhang, Baozhu
Niu, Jishan
Jiang, Yumei
Li, Yongchun
Yin, Jun
author_facet Li, Lei
Han, Chenglin
Yang, Jinwei
Tian, Zhiqiang
Jiang, Ruyun
Yang, Fei
Jiao, Kemeng
Qi, Menglei
Liu, Lili
Zhang, Baozhu
Niu, Jishan
Jiang, Yumei
Li, Yongchun
Yin, Jun
author_sort Li, Lei
collection PubMed
description Wheat production is often impacted by pre-winter freezing damage and cold spells in later spring. To study the influences of cold stress on wheat seedlings, unstressed Jing 841 was sampled once at the seedling stage, followed by 4 °C stress treatment for 30 days and once every 10 days. A total of 12,926 differentially expressed genes (DEGs) were identified from the transcriptome. K-means cluster analysis found a group of genes related to the glutamate metabolism pathway, and many genes belonging to the bHLH, MYB, NAC, WRKY, and ERF transcription factor families were highly expressed. Starch and sucrose metabolism, glutathione metabolism, and plant hormone signal transduction pathways were found. Weighted Gene Co-Expression Network Analysis (WGCNA) identified several key genes involved in the development of seedlings under cold stress. The cluster tree diagram showed seven different modules marked with different colors. The blue module had the highest correlation coefficient for the samples treated with cold stress for 30 days, and most genes in this module were rich in glutathione metabolism (ko00480). A total of eight DEGs were validated using quantitative real-time PCR. Overall, this study provides new insights into the physiological metabolic pathways and gene changes in a cold stress transcriptome, and it has a potential significance for improving freezing tolerance in wheat.
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spelling pubmed-101379962023-04-28 Comprehensive Transcriptome Analysis of Responses during Cold Stress in Wheat (Triticum aestivum L.) Li, Lei Han, Chenglin Yang, Jinwei Tian, Zhiqiang Jiang, Ruyun Yang, Fei Jiao, Kemeng Qi, Menglei Liu, Lili Zhang, Baozhu Niu, Jishan Jiang, Yumei Li, Yongchun Yin, Jun Genes (Basel) Article Wheat production is often impacted by pre-winter freezing damage and cold spells in later spring. To study the influences of cold stress on wheat seedlings, unstressed Jing 841 was sampled once at the seedling stage, followed by 4 °C stress treatment for 30 days and once every 10 days. A total of 12,926 differentially expressed genes (DEGs) were identified from the transcriptome. K-means cluster analysis found a group of genes related to the glutamate metabolism pathway, and many genes belonging to the bHLH, MYB, NAC, WRKY, and ERF transcription factor families were highly expressed. Starch and sucrose metabolism, glutathione metabolism, and plant hormone signal transduction pathways were found. Weighted Gene Co-Expression Network Analysis (WGCNA) identified several key genes involved in the development of seedlings under cold stress. The cluster tree diagram showed seven different modules marked with different colors. The blue module had the highest correlation coefficient for the samples treated with cold stress for 30 days, and most genes in this module were rich in glutathione metabolism (ko00480). A total of eight DEGs were validated using quantitative real-time PCR. Overall, this study provides new insights into the physiological metabolic pathways and gene changes in a cold stress transcriptome, and it has a potential significance for improving freezing tolerance in wheat. MDPI 2023-03-31 /pmc/articles/PMC10137996/ /pubmed/37107602 http://dx.doi.org/10.3390/genes14040844 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
Li, Lei
Han, Chenglin
Yang, Jinwei
Tian, Zhiqiang
Jiang, Ruyun
Yang, Fei
Jiao, Kemeng
Qi, Menglei
Liu, Lili
Zhang, Baozhu
Niu, Jishan
Jiang, Yumei
Li, Yongchun
Yin, Jun
Comprehensive Transcriptome Analysis of Responses during Cold Stress in Wheat (Triticum aestivum L.)
title Comprehensive Transcriptome Analysis of Responses during Cold Stress in Wheat (Triticum aestivum L.)
title_full Comprehensive Transcriptome Analysis of Responses during Cold Stress in Wheat (Triticum aestivum L.)
title_fullStr Comprehensive Transcriptome Analysis of Responses during Cold Stress in Wheat (Triticum aestivum L.)
title_full_unstemmed Comprehensive Transcriptome Analysis of Responses during Cold Stress in Wheat (Triticum aestivum L.)
title_short Comprehensive Transcriptome Analysis of Responses during Cold Stress in Wheat (Triticum aestivum L.)
title_sort comprehensive transcriptome analysis of responses during cold stress in wheat (triticum aestivum l.)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137996/
https://www.ncbi.nlm.nih.gov/pubmed/37107602
http://dx.doi.org/10.3390/genes14040844
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