Lei Yufeng, Zhao Jing, Hou Siyuan, Xu Fufeng, Zhang Chongbo, Cai Dongchen, Cao Xiaolei, Yao Zhaoqun, Zhao Sifeng
Key Laboratory at the Universities of Xinjiang Uygur Autonomous Region for Oasis Agricultural Pest Management and Plant Protection Resource Utilization, Agriculture College, Shihezi University, Shihezi, China.
Cotton Research Institute, Xinjiang Academy of Agricultural and Reclamation Sciences, Shihezi, China.
Front Plant Sci. 2025 Jul 28;16:1621604. doi: 10.3389/fpls.2025.1621604. eCollection 2025.
wilt, caused by , is one of the most devastating diseases affecting global cotton () production. Given the limited effectiveness of chemical control measures and the polygenic nature of resistance, elucidating the key genetic determinants is imperative for the development of resistant cultivars. In this study, we aimed to dissect the temporal transcriptional dynamics and regulatory mechanisms underlying response to infection.
We employed a time-course RNA-Seq approach using the susceptible upland cotton cultivar Jimian 11 to profile transcriptomic responses in root and leaf tissues post- inoculation. Differentially expressed genes (DEGs) were identified, followed by weighted gene co-expression network analysis (WGCNA). To prioritize key candidate genes, we applied machine learning algorithms including LASSO, Random Forest, and Support Vector Machine (SVM).
A robust set of core genes involved in pathogen recognition (), calcium signaling (), hormone response, and secondary metabolism () were identified. Our findings provide novel insights into the spatiotemporal regulation of immune responses in cotton and offer valuable candidate genes for molecular breeding of wilt resistance.
由[病原体名称未给出]引起的枯萎病是影响全球棉花（[棉花品种未给出]）生产的最具破坏性的病害之一。鉴于化学防治措施效果有限以及抗性的多基因性质，阐明关键遗传决定因素对于培育抗病品种至关重要。在本研究中，我们旨在剖析棉花对[病原体名称未给出]感染反应的时间转录动态和调控机制。
我们采用时间进程RNA测序方法，利用感病陆地棉品种冀棉11在接种[病原体名称未给出]后对根和叶组织中的转录组反应进行分析。鉴定差异表达基因（DEGs），随后进行加权基因共表达网络分析（WGCNA）。为了确定关键候选基因，我们应用了包括套索回归（LASSO）、随机森林和支持向量机（SVM）在内的机器学习算法。
鉴定出了一组参与病原体识别（[具体识别相关内容未给出]）、钙信号传导（[具体钙信号传导相关内容未给出]）、激素反应和次生代谢（[具体次生代谢相关内容未给出]）的核心基因。我们的研究结果为棉花免疫反应的时空调控提供了新见解，并为棉花枯萎病抗性分子育种提供了有价值的候选基因。
