Transcriptome sequencing and expression analysis in peanut reveal the potential mechanism response to Ralstonia solanacearum infection

• Published in: BMC plant biology Vol. 24; no. 1; p. 207
• Main Authors: Wang, Xiao, Qi, Feiyan, Sun, Ziqi, Liu, Hongfei, Wu, Yue, Wu, Xiaohui, Xu, Jing, Liu, Hua, Qin, Li, Wang, Zhenyu, Sang, Suling, Dong, Wenzhao, Huang, Bingyan, Zheng, Zheng, Zhang, Xinyou
• Format: Journal Article
• Language: English
• Published: London BioMed Central 21.03.2024; BioMed Central Ltd; BMC
• Subjects: Agricultural research; Agriculture; Analysis; Arachis hypogaea; Bacteria; Bacterial diseases of plants; Bacterial wilt; Binding sites; Biomedical and Life Sciences; calcium; Cluster analysis; Control; Cultivars; Data analysis; Disease resistance; Diseases and pests; Drug resistance in microorganisms; Encyclopedias; Full-length transcriptome; Gene expression; gene expression regulation; Gene mapping; Gene sequencing; Genes; Genetic aspects; genome; Genomes; Genomics; genotype; Genotypes; Glutathione; Glutathione metabolism; Health aspects; host-pathogen relationships; Immune system; Infections; Information management; Legumes; Leucine; Life Sciences; Metabolism; Methods; Nucleotides; Pathogens; Peanut; Peanuts; Physiological aspects; Plant bacterial diseases; Plant breeding; Plant disease resistance; Plant diseases; Plant genetics; Plant immunology; Plant resistance; Plant Sciences; Plant-pathogen pathway; Proteins; Quality control; Quantitative genetics; Quantitative trait loci; Ralstonia solanacearum; RNA; RNA sequencing; sequence analysis; Signal transduction; Software; transcriptome; Transcriptomes; Tree Biology; Wilt; China; RNA-sequencing; Peanut; Plant-pathogen pathway; Candidate gene; Bacterial wilt; Glutathione metabolism; Full-length transcriptome
• ISSN: 1471-2229; 1471-2229
• DOI: 10.1186/s12870-024-04877-0

Background Bacterial wilt caused by Ralstonia solanacearum severely affects peanut ( Arachis hypogaea L.) yields. The breeding of resistant cultivars is an efficient means of controlling plant diseases. Therefore, identification of resistance genes effective against bacterial wilt is a matter of urgency. The lack of a reference genome for a resistant genotype severely hinders the process of identification of resistance genes in peanut. In addition, limited information is available on disease resistance-related pathways in peanut. Results Full-length transcriptome data were used to generate wilt-resistant and -susceptible transcript pools. In total, 253,869 transcripts were retained to form a reference transcriptome for RNA-sequencing data analysis. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis of differentially expressed genes revealed the plant-pathogen interaction pathway to be the main resistance-related pathway for peanut to prevent bacterial invasion and calcium plays an important role in this pathway. Glutathione metabolism was enriched in wilt-susceptible genotypes, which would promote glutathione synthesis in the early stages of pathogen invasion. Based on our previous quantitative trait locus (QTL) mapping results, the genes arahy.V6I7WA and arahy.MXY2PU , which encode nucleotide-binding site-leucine-rich repeat receptor proteins, were indicated to be associated with resistance to bacterial wilt. Conclusions This study identified several pathways associated with resistance to bacterial wilt and identified candidate genes for bacterial wilt resistance in a major QTL region. These findings lay a foundation for investigation of the mechanism of resistance to bacterial wilt in peanut.