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Comparative transcriptional and co-expression network analysis of two upland cotton accessions with extreme phenotypic differences reveals molecular mechanisms of fiber development

INTRODUCTION: Upland cotton (Gossypium hirsutum) is the main source of natural fiber in the global textile industry, and thus its fiber quality and yield are important parameters. In this study, comparative transcriptomics was used to analyze differentially expressed genes (DEGs) due to its ability...

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Autores principales: He, Jiasen, Xu, Zhongyang, Azhar, Muhammad Tehseen, Zhang, Zhen, Li, Pengtao, Gong, Juwu, Jiang, Xiao, Fan, Senmiao, Ge, Qun, Yuan, Youlu, Shang, Haihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502173/
https://www.ncbi.nlm.nih.gov/pubmed/37719229
http://dx.doi.org/10.3389/fpls.2023.1189490
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author He, Jiasen
Xu, Zhongyang
Azhar, Muhammad Tehseen
Zhang, Zhen
Li, Pengtao
Gong, Juwu
Jiang, Xiao
Fan, Senmiao
Ge, Qun
Yuan, Youlu
Shang, Haihong
author_facet He, Jiasen
Xu, Zhongyang
Azhar, Muhammad Tehseen
Zhang, Zhen
Li, Pengtao
Gong, Juwu
Jiang, Xiao
Fan, Senmiao
Ge, Qun
Yuan, Youlu
Shang, Haihong
author_sort He, Jiasen
collection PubMed
description INTRODUCTION: Upland cotton (Gossypium hirsutum) is the main source of natural fiber in the global textile industry, and thus its fiber quality and yield are important parameters. In this study, comparative transcriptomics was used to analyze differentially expressed genes (DEGs) due to its ability to effectively screen candidate genes during the developmental stages of cotton fiber. However, research using this method is limited, particularly on fiber development. The aim of this study was to uncover the molecular mechanisms underlying the whole period of fiber development and the differences in transcriptional levels. METHODS: Comparative transcriptomes are used to analyze transcriptome data and to screen for differentially expressed genes. STEM and WGCNA were used to screen for key genes involved in fiber development. qRT-PCR was performed to verify gene expression of selected DEGs and hub genes. RESULTS: Two accessions of upland cotton with extreme phenotypic differences, namely EZ60 and ZR014121, were used to carry out RNA sequencing (RNA-seq) on fiber samples from different fiber development stages. The results identified 704, 376, 141, 269, 761, and 586 genes that were upregulated, and 1,052, 476, 355, 259, 702, and 847 genes that were downregulated at 0, 5, 10, 15, 20, and 25 days post anthesis, respectively. Similar expression patterns of DEGs were monitored using short time-series expression miner (STEM) analysis, and associated pathways of DEGs within profiles were investigated. In addition, weighted gene co-expression network analysis (WGCNA) identified five key modules in fiber development and screened 20 hub genes involved in the development of fibers. DISCUSSION: Through the annotation of the genes, it was found that the excessive expression of resistance-related genes in the early fiber development stages affects the fiber yield, whereas the sustained expression of cell elongation-related genes is critical for long fibers. This study provides new information that can be used to improve fibers in newly developed upland cotton genotypes.
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spelling pubmed-105021732023-09-16 Comparative transcriptional and co-expression network analysis of two upland cotton accessions with extreme phenotypic differences reveals molecular mechanisms of fiber development He, Jiasen Xu, Zhongyang Azhar, Muhammad Tehseen Zhang, Zhen Li, Pengtao Gong, Juwu Jiang, Xiao Fan, Senmiao Ge, Qun Yuan, Youlu Shang, Haihong Front Plant Sci Plant Science INTRODUCTION: Upland cotton (Gossypium hirsutum) is the main source of natural fiber in the global textile industry, and thus its fiber quality and yield are important parameters. In this study, comparative transcriptomics was used to analyze differentially expressed genes (DEGs) due to its ability to effectively screen candidate genes during the developmental stages of cotton fiber. However, research using this method is limited, particularly on fiber development. The aim of this study was to uncover the molecular mechanisms underlying the whole period of fiber development and the differences in transcriptional levels. METHODS: Comparative transcriptomes are used to analyze transcriptome data and to screen for differentially expressed genes. STEM and WGCNA were used to screen for key genes involved in fiber development. qRT-PCR was performed to verify gene expression of selected DEGs and hub genes. RESULTS: Two accessions of upland cotton with extreme phenotypic differences, namely EZ60 and ZR014121, were used to carry out RNA sequencing (RNA-seq) on fiber samples from different fiber development stages. The results identified 704, 376, 141, 269, 761, and 586 genes that were upregulated, and 1,052, 476, 355, 259, 702, and 847 genes that were downregulated at 0, 5, 10, 15, 20, and 25 days post anthesis, respectively. Similar expression patterns of DEGs were monitored using short time-series expression miner (STEM) analysis, and associated pathways of DEGs within profiles were investigated. In addition, weighted gene co-expression network analysis (WGCNA) identified five key modules in fiber development and screened 20 hub genes involved in the development of fibers. DISCUSSION: Through the annotation of the genes, it was found that the excessive expression of resistance-related genes in the early fiber development stages affects the fiber yield, whereas the sustained expression of cell elongation-related genes is critical for long fibers. This study provides new information that can be used to improve fibers in newly developed upland cotton genotypes. Frontiers Media S.A. 2023-08-31 /pmc/articles/PMC10502173/ /pubmed/37719229 http://dx.doi.org/10.3389/fpls.2023.1189490 Text en Copyright © 2023 He, Xu, Azhar, Zhang, Li, Gong, Jiang, Fan, Ge, Yuan and Shang https://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) and the copyright owner(s) 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
He, Jiasen
Xu, Zhongyang
Azhar, Muhammad Tehseen
Zhang, Zhen
Li, Pengtao
Gong, Juwu
Jiang, Xiao
Fan, Senmiao
Ge, Qun
Yuan, Youlu
Shang, Haihong
Comparative transcriptional and co-expression network analysis of two upland cotton accessions with extreme phenotypic differences reveals molecular mechanisms of fiber development
title Comparative transcriptional and co-expression network analysis of two upland cotton accessions with extreme phenotypic differences reveals molecular mechanisms of fiber development
title_full Comparative transcriptional and co-expression network analysis of two upland cotton accessions with extreme phenotypic differences reveals molecular mechanisms of fiber development
title_fullStr Comparative transcriptional and co-expression network analysis of two upland cotton accessions with extreme phenotypic differences reveals molecular mechanisms of fiber development
title_full_unstemmed Comparative transcriptional and co-expression network analysis of two upland cotton accessions with extreme phenotypic differences reveals molecular mechanisms of fiber development
title_short Comparative transcriptional and co-expression network analysis of two upland cotton accessions with extreme phenotypic differences reveals molecular mechanisms of fiber development
title_sort comparative transcriptional and co-expression network analysis of two upland cotton accessions with extreme phenotypic differences reveals molecular mechanisms of fiber development
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502173/
https://www.ncbi.nlm.nih.gov/pubmed/37719229
http://dx.doi.org/10.3389/fpls.2023.1189490
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