Cargando…

Weighted gene co-expression network analysis revealed the key pathways and hub genes of potassium regulating cotton root adaptation to salt stress

Soil salinization is one of the main abiotic stresses affecting cotton yield and planting area. Potassium application has been proven to be an important strategy to reduce salt damage in agricultural production. However, the mechanism of potassium regulating the salt adaptability of cotton has not b...

Descripción completa

Detalles Bibliográficos
Autores principales: Ju, Feiyan, Sun, Liyuan, Xiong, Cai, Wang, Zhuo, Yu, Huilian, Pang, Jiali, Bai, Hua, Zhao, Wengqing, Zhou, Zhiguo, Chen, Binglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014550/
https://www.ncbi.nlm.nih.gov/pubmed/36938049
http://dx.doi.org/10.3389/fpls.2023.1132877
_version_ 1784907016862433280
author Ju, Feiyan
Sun, Liyuan
Xiong, Cai
Wang, Zhuo
Yu, Huilian
Pang, Jiali
Bai, Hua
Zhao, Wengqing
Zhou, Zhiguo
Chen, Binglin
author_facet Ju, Feiyan
Sun, Liyuan
Xiong, Cai
Wang, Zhuo
Yu, Huilian
Pang, Jiali
Bai, Hua
Zhao, Wengqing
Zhou, Zhiguo
Chen, Binglin
author_sort Ju, Feiyan
collection PubMed
description Soil salinization is one of the main abiotic stresses affecting cotton yield and planting area. Potassium application has been proven to be an important strategy to reduce salt damage in agricultural production. However, the mechanism of potassium regulating the salt adaptability of cotton has not been fully elucidated. In the present research, the appropriate potassium application rate for alleviating salt damage of cotton based on different K(+)/Na(+) ratios we screened, and a gene co-expression network based on weighted gene co-expression network analysis (WGCNA) using the transcriptome data sets treated with CK (0 mM NaCl), S (150 mM NaCl), and SK8 (150 mM NaCl + 9.38 mM K(2)SO(4)) was constructed. In this study, four key modules that are highly related to potassium regulation of cotton salt tolerance were identified, and the mitogen-activated protein kinase (MAPK) signaling pathway, tricarboxylic acid (TCA) cycle and glutathione metabolism pathway were identified as the key biological processes and metabolic pathways for potassium to improve cotton root salt adaptability. In addition, 21 hub genes and 120 key candidate genes were identified in this study, suggesting that they may play an important role in the enhancement of salt adaptability of cotton by potassium. The key modules, key biological pathways and hub genes discovered in this study will provide a new understanding of the molecular mechanism of potassium enhancing salinity adaptability in cotton, and lay a theoretical foundation for the improvement and innovation of high-quality cotton germplasm.
format Online
Article
Text
id pubmed-10014550
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-100145502023-03-16 Weighted gene co-expression network analysis revealed the key pathways and hub genes of potassium regulating cotton root adaptation to salt stress Ju, Feiyan Sun, Liyuan Xiong, Cai Wang, Zhuo Yu, Huilian Pang, Jiali Bai, Hua Zhao, Wengqing Zhou, Zhiguo Chen, Binglin Front Plant Sci Plant Science Soil salinization is one of the main abiotic stresses affecting cotton yield and planting area. Potassium application has been proven to be an important strategy to reduce salt damage in agricultural production. However, the mechanism of potassium regulating the salt adaptability of cotton has not been fully elucidated. In the present research, the appropriate potassium application rate for alleviating salt damage of cotton based on different K(+)/Na(+) ratios we screened, and a gene co-expression network based on weighted gene co-expression network analysis (WGCNA) using the transcriptome data sets treated with CK (0 mM NaCl), S (150 mM NaCl), and SK8 (150 mM NaCl + 9.38 mM K(2)SO(4)) was constructed. In this study, four key modules that are highly related to potassium regulation of cotton salt tolerance were identified, and the mitogen-activated protein kinase (MAPK) signaling pathway, tricarboxylic acid (TCA) cycle and glutathione metabolism pathway were identified as the key biological processes and metabolic pathways for potassium to improve cotton root salt adaptability. In addition, 21 hub genes and 120 key candidate genes were identified in this study, suggesting that they may play an important role in the enhancement of salt adaptability of cotton by potassium. The key modules, key biological pathways and hub genes discovered in this study will provide a new understanding of the molecular mechanism of potassium enhancing salinity adaptability in cotton, and lay a theoretical foundation for the improvement and innovation of high-quality cotton germplasm. Frontiers Media S.A. 2023-03-01 /pmc/articles/PMC10014550/ /pubmed/36938049 http://dx.doi.org/10.3389/fpls.2023.1132877 Text en Copyright © 2023 Ju, Sun, Xiong, Wang, Yu, Pang, Bai, Zhao, Zhou and Chen 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
Ju, Feiyan
Sun, Liyuan
Xiong, Cai
Wang, Zhuo
Yu, Huilian
Pang, Jiali
Bai, Hua
Zhao, Wengqing
Zhou, Zhiguo
Chen, Binglin
Weighted gene co-expression network analysis revealed the key pathways and hub genes of potassium regulating cotton root adaptation to salt stress
title Weighted gene co-expression network analysis revealed the key pathways and hub genes of potassium regulating cotton root adaptation to salt stress
title_full Weighted gene co-expression network analysis revealed the key pathways and hub genes of potassium regulating cotton root adaptation to salt stress
title_fullStr Weighted gene co-expression network analysis revealed the key pathways and hub genes of potassium regulating cotton root adaptation to salt stress
title_full_unstemmed Weighted gene co-expression network analysis revealed the key pathways and hub genes of potassium regulating cotton root adaptation to salt stress
title_short Weighted gene co-expression network analysis revealed the key pathways and hub genes of potassium regulating cotton root adaptation to salt stress
title_sort weighted gene co-expression network analysis revealed the key pathways and hub genes of potassium regulating cotton root adaptation to salt stress
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10014550/
https://www.ncbi.nlm.nih.gov/pubmed/36938049
http://dx.doi.org/10.3389/fpls.2023.1132877
work_keys_str_mv AT jufeiyan weightedgenecoexpressionnetworkanalysisrevealedthekeypathwaysandhubgenesofpotassiumregulatingcottonrootadaptationtosaltstress
AT sunliyuan weightedgenecoexpressionnetworkanalysisrevealedthekeypathwaysandhubgenesofpotassiumregulatingcottonrootadaptationtosaltstress
AT xiongcai weightedgenecoexpressionnetworkanalysisrevealedthekeypathwaysandhubgenesofpotassiumregulatingcottonrootadaptationtosaltstress
AT wangzhuo weightedgenecoexpressionnetworkanalysisrevealedthekeypathwaysandhubgenesofpotassiumregulatingcottonrootadaptationtosaltstress
AT yuhuilian weightedgenecoexpressionnetworkanalysisrevealedthekeypathwaysandhubgenesofpotassiumregulatingcottonrootadaptationtosaltstress
AT pangjiali weightedgenecoexpressionnetworkanalysisrevealedthekeypathwaysandhubgenesofpotassiumregulatingcottonrootadaptationtosaltstress
AT baihua weightedgenecoexpressionnetworkanalysisrevealedthekeypathwaysandhubgenesofpotassiumregulatingcottonrootadaptationtosaltstress
AT zhaowengqing weightedgenecoexpressionnetworkanalysisrevealedthekeypathwaysandhubgenesofpotassiumregulatingcottonrootadaptationtosaltstress
AT zhouzhiguo weightedgenecoexpressionnetworkanalysisrevealedthekeypathwaysandhubgenesofpotassiumregulatingcottonrootadaptationtosaltstress
AT chenbinglin weightedgenecoexpressionnetworkanalysisrevealedthekeypathwaysandhubgenesofpotassiumregulatingcottonrootadaptationtosaltstress