Cotton metabolism regulatory network: Unraveling key genes and pathways in fiber development and growth regulation

Cotton (Gossypium hirsutum L.) is one of the world's most important commercial crops. However, the dynamics of metabolite abundance and potential regulatory networks throughout its life cycle remain poorly understood. In this study, we developed a cotton metabolism regulatory network (CMRN) that spans various developmental stages and encompasses 2138 metabolites and 90 309 expressed genesin upland cotton. By integrating high-resolution spatiotemporal metabolome and transcriptome data, we identified 1958 differentially accumulated metabolites and 13 597 co-expressed differentially expressed genes between the dwarf mutant pagoda1 and its wild-type counterpart Zhongmiansuo 24. These metabolites and genes were categorized into seven clusters based on tissue-specific accumulation patterns and gene expression profiles across different developmental stages. Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed significant differential enrichment in the fatty acid elongation pathway, particularly in fibers. The differential involvement of genes and metabolites in very-long-chain fatty acid (VLCFA) synthesis led to the identification of GhKCS1b_Dt as a key gene. Overexpression of GhKCS1b_Dt significantly promoted fiber elongation, while its silencing markedly inhibited cotton fiber growth, affirming its positive regulatory role in fiber elongation. This dataset provides a valuable resource for further research into metabolic pathways and gene regulatory networks, offering novel insights for advancing cotton breeding strategies.

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Publication Details

Journal
Plant Communications
Published
2024-12-13
DOI
https://doi.org/10.1016/j.xplc.2024.101221
Citations
10
Primary Topic
Research in Cotton Cultivation
Type
article
Field-Weighted Citation Impact
6.00

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article

Cotton metabolism regulatory network: Unraveling key genes and pathways in fiber development and growth regulation

Ghulam Qanmber, Eryong Chen, Sheng Shu, Jinquan Huang et al.
10 citations
Plant Communications
Research in Cotton Cultivation
6.00
article

Cotton metabolism regulatory network: Unraveling key genes and pathways in fiber development and growth regulation

Ghulam Qanmber, Eryong Chen, Sheng Shu, Jinquan Huang, Liqiang Fan, Fuguang Li, Zuoren Yang, Zhao Liu
article en
10 citations

Abstract

Cotton (Gossypium hirsutum L.) is one of the world's most important commercial crops. However, the dynamics of metabolite abundance and potential regulatory networks throughout its life cycle remain poorly understood. In this study, we developed a cotton metabolism regulatory network (CMRN) that spans various developmental stages and encompasses 2138 metabolites and 90 309 expressed genesin upland cotton. By integrating high-resolution spatiotemporal metabolome and transcriptome data, we identified 1958 differentially accumulated metabolites and 13 597 co-expressed differentially expressed genes between the dwarf mutant pagoda1 and its wild-type counterpart Zhongmiansuo 24. These metabolites and genes were categorized into seven clusters based on tissue-specific accumulation patterns and gene expression profiles across different developmental stages. Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed significant differential enrichment in the fatty acid elongation pathway, particularly in fibers. The differential involvement of genes and metabolites in very-long-chain fatty acid (VLCFA) synthesis led to the identification of GhKCS1b_Dt as a key gene. Overexpression of GhKCS1b_Dt significantly promoted fiber elongation, while its silencing markedly inhibited cotton fiber growth, affirming its positive regulatory role in fiber elongation. This dataset provides a valuable resource for further research into metabolic pathways and gene regulatory networks, offering novel insights for advancing cotton breeding strategies.

Plant CommunicationsVol. 6(3)
Chinese Academy of Sciences (CN), Zhengzhou University (CN), Henan Academy of Agricultural Sciences (CN), Cotton Research Institute (CN), Henan Institute of Technology (CN), Zhengzhou Fruit Research Institute (CN), Chinese Academy of Agricultural Sciences (CN), Center for Excellence in Molecular Plant Sciences (CN), Henan Institute of Science and Technology (CN), Henan Agricultural University (CN)
Sichuan University
Openalex Percentile: Top 4%
Research in Cotton Cultivation
6.00
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