数字农科院2.0

Exploring Metabolic Pathways and Gene Mining During Cotton Flower Bud Differentiation Stages Based on Transcriptomics and Metabolomics

文献类型： 外文期刊

作者： Miaoqian Yang;Wenjie Li;Xiaokang Fu;Jianhua Lu;Liang Ma;Hantao Wang;Hengling Wei

作者机构：

关键词： early-maturing cotton;flower bud differentiation;GhTYDC;metabolome;transcriptome

期刊名称： INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

ISSN： 1661-6596

年卷期： 2025 年 26 卷 5 期

页码：

收录情况： SCIE（2025版）

摘要： Cotton is regarded as one of the significant economic crops in China, and its earliness is defined as one of the crucial traits influencing fiber quality and yield. To study the physiological and biochemical mechanisms related to early-maturing traits of cotton, cotton shoot apexes at the one-leaf, three-leaf, and five-leaf stages of the early-maturing cotton CCRI50 and late-maturing cotton Guoxinmian11 were collected for transcriptome sequencing and metabolomics, respectively. A total of 616, 782, and 842 differentially expressed genes (DEGs) at the one-leaf stage, three-leaf stage, and five-leaf stage were obtained through transcriptome sequencing, respectively. The metabolic detection results showed that 68, 56, and 62 differential metabolites (DMs) were obtained in the three periods, respectively. A total of 10 DMs were detected simultaneously from the one-leaf to five-leaf stage, 4 of which were phenolic acids and down-regulated in the early maturing variety CCRI50. A combined transcriptomic and metabolomic analysis revealed that phenylpropanoid biosynthesis, tyrosine metabolism, and phenylalanine metabolism might be important metabolic pathways in cotton bud differentiation. GhTYDC-A01 was identified in both the tyrosine metabolism and phenylalanine metabolism pathways, and it was highly expressed in pistils. To investigate the function of this gene in flowering, we overexpressed it in Arabidopsis thaliana. Compared to the wild type, the flowering time of the overexpression of GhTYDC-A01 in Arabidopsis was delayed. This study provides valuable resources and new insights into the relationship between metabolites and early-maturing cotton.

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