Construction of Cotton Verticillium wilt Resistance Co-expression Network and Identification of Hub Genes
Anyang Key Laboratory of Bioinformatics, Anyang Institute of Technology, Anyang 455000, China
| Abstract: | Cotton verticillium wilt caused by Verticillium dahliae is a serious soil transmission vascular bundle disease, which has a great impact on the yield and quality of cotton. Weighted gene co-expression network analysis (WGCNA) is a data mining method that uses gene expression data under different conditions to cluster genes. This method can associate traits with genes, and it is a widely used system biology technology. The transcriptional data of verticillium dahliae infected root, stem and leaf of 0h, 12h, 48h of Gossypium thurberi with verticillium wilt resistance, Gossypium trilobum with high verticillium wilt resistance and Gossypium raimondii with verticillium wilt sensitivity were used in this project, transcriptional data of Gossypium trilobum, Gossypium trilobum and Gossypium raimondii under cold and salt treatment for 12 hours respectively and transcriptional data of ovule development 3 days after anthesis in Gossypium raimondii were used to construct the gene co expression network and select hub genes. The results showed that one module was positively correlated with verticillium wilt resistance and the other was negatively correlated with verticillium wilt resistance. The results of gene function enrichment analysis showed that the positive correlation module genes of verticillium wilt resistance mainly involved in organic matter catabolism, cell wall tissue or biosynthesis, external encapsulation structure and hormone level regulation. The results of this study have important value to find verticillium wilt resistance genes in cotton. |
| Keywords: | Vrticillium Wilt; Cotton; WGCNA; Modular; Cluster |
| DOI: | 10.57237/j.life.2023.04.002 |
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Received: 2 October 2023
Accepted: 9 November 2023
Published Online: 15 November 2023
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