Yang Ni, Xu Chaoli, Liang Yajun, Zheng Juyun, Geng Shiwei, Sun Fenglei, Li Shengmei, Lai Chengxia, Yusuyin Mayila, Gong Zhaolong, Wang Junduo
National Cotton Engineering Technology Research Center, Cotton Research Institute of Xinjiang Uygur Autonomous Region Academy of Agricultural Sciences, Urumqi 830091, China.
Xinjiang Agricultural Vocational and Technical University, Changji 831100, China.
Genes (Basel). 2025 Jul 25;16(8):877. doi: 10.3390/genes16080877.
In recent years, changes in climate conditions and long-term continuous cropping have led to the increased occurrence of Verticillium wilt in various cotton-growing regions, causing significant economic losses in cotton production. Research has shown that volatile substances are closely linked to plant disease resistance; however, studies on their roles in the response of cotton to Verticillium wilt, including their relationship with gene regulation, are limited.
In this study, the transcriptomes and metabolomes of Xinluzao 57 (a highly susceptible Verticillium wilt variety) and 192,868 (a highly resistant Verticillium wilt variety) were sequenced at different time points after inoculation with Verticillium wilt.
A total of 21,911 commonly differentially expressed genes (DEGs) were identified within and between the materials, and they were clustered into eight groups. Significant annotations were made in pathways related to amino acids and anthocyanins. Metabolomics identified and annotated 26,200 volatile metabolites across nine categories. A total of 158 differentially accumulated metabolites (DAMs) were found within and between the materials; three clusters were identified, and the 10 metabolites with the most significant fold changes were highlighted. Weighted gene coexpression network analysis (WGCNA) revealed that 13 genes were significantly correlated with guanosine, 6 genes were correlated with 2-deoxyerythritol, and 32 genes were correlated with raffinose.
Our results provide a foundation for understanding the role of volatile substances in the response of cotton to Verticillium wilt and offer new gene resources for future research on Verticillium wilt resistance.
近年来，气候条件变化和长期连作导致各棉花种植区黄萎病发生频率增加，给棉花生产造成重大经济损失。研究表明，挥发性物质与植物抗病性密切相关；然而，关于其在棉花对黄萎病响应中的作用，包括与基因调控的关系的研究有限。
本研究对接种黄萎病后不同时间点的新陆早57（高感黄萎病品种）和192868（高抗黄萎病品种）进行了转录组和代谢组测序。
在材料内部和之间共鉴定出21911个常见差异表达基因（DEG），并将它们聚类为八组。在与氨基酸和花青素相关的途径中进行了显著注释。代谢组学鉴定并注释了九大类中的26200种挥发性代谢物。在材料内部和之间共发现158种差异积累代谢物（DAM）；识别出三个聚类，并突出显示了变化倍数最显著的10种代谢物。加权基因共表达网络分析（WGCNA）显示，13个基因与鸟苷显著相关，6个基因与2-脱氧赤藓糖醇相关，32个基因与棉子糖相关。
我们的结果为理解挥发性物质在棉花对黄萎病响应中的作用提供了基础，并为未来黄萎病抗性研究提供了新的基因资源。
