数字农科院2.0

Integrated transcriptome and metabolome association analysis reveals the complex genetic architecture of tobacco bacterial wilt resistance

文献类型： 外文期刊

作者： Muhammad Kamran;Jie Liu;Feng Lin;Asad Ullah;Tania Aqeel;Muhammad Shahzad;Xueliang Ren;Min Ren;Xiangyang Lou;Haiming Xu;Shizhou Yu

作者机构：

关键词： Candidate genes;Differentially expressed genes;Metabolomics;Ralstonia solanacearum;Resistance mechanisms;Tobacco bacterial wilt;Transcriptomics

期刊名称： Industrial Crops and Products

ISSN： 0926-6690

年卷期： 2025 年 233 卷

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： Tobacco bacterial wilt, caused by Ralstonia solanacearum, severely affects tobacco crops, leading to significant economic losses. We performed integrated transcriptomic and metabolomic analyses to identify key genes and metabolites that govern tobacco's resistance to bacterial wilt. Resistant (Qiongzhongwuzhishan, R1), moderately resistant (Fandisanhao‑bing, R2), and susceptible (Honghuadajinyuan, S) genotypes were sampled at 3, 24, and 48 h post‑inoculation. RNA‑seq identified 16,295 differentially expressed genes (DEGs) (FDR < 0.05, |log₂FC= > 1). In R1 (treated vs. control), 3046, 2332, and 2003 genes were upregulated, while 1403, 3099, and 2895 genes were downregulated at 3 h, 24 h, and 48 h, respectively. In R1 (treated) vs. R2 (treated), 1900, 3867, and 3553 genes were upregulated, while 1321, 6818, and 3490 genes were downregulated at 3 h, 24 h, and 48 h, respectively. Similarly, in R1 (treated) vs. S (treated), 1236, 1333, and 1689 genes were upregulated, and 836, 2496, and 1292 genes were downregulated at the corresponding time points. Time‑course analysis using maSigPro identified 11,121 genes with significant temporal expression changes. Metabolomic profiling detected 69 differentially accumulated metabolites, from which the 20 most significant (p < 0.05) were selected. Weighted Gene Co‑expression Network Analysis (WGCNA) clustered genes into 17 modules; five were significantly correlated with key metabolites and overlapped with DESeq2 and maSigPro gene sets. A total of 39 candidate genes were consistently identified through differential expression, functional enrichment, and network analyses, and six were validated by qRT‑PCR. These results provide a foundational framework for future studies into the genetic architecture and molecular basis of bacterial wilt resistance in tobacco.

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