Combined Transcriptome and Metabolome Analysis Reveals Adaptive Defense Responses to DON Induction in Potato.
Biao ZhaoHang YuDan LiuJiaqi WangXu FengFumeng HeTianshuai QiChong DuLinlin WangHaifeng WangFenglan LiPublished in: International journal of molecular sciences (2023)
Phytophthora infestans poses a serious threat to potato production, storage, and processing. Understanding plant immunity triggered by fungal elicitors is important for the effective control of plant diseases. However, the role of the potato stress response to Fusarium toxin deoxynivalenol (DON)-induced stress is still not fully understood. In this study, the metabolites of DON-treated potato tubers were studied for four time intervals using UPLC-MS/MS. We identified 676 metabolites, and differential accumulation metabolite analysis showed that alkaloids, phenolic acids, and flavonoids were the major differential metabolites that directly determined defense response. Transcriptome data showed that differentially expressed genes (DEGs) were significantly enriched in phenylpropane and flavonoid metabolic pathways. Weighted gene co-expression network analysis (WGCNA) identified many hub genes, some of which modulate plant immune responses. This study is important for understanding the metabolic changes, transcriptional regulation, and physiological responses of active and signaling substances during DON induction, and it will help to design defense strategies against Phytophthora infestans in potato.
Keyphrases
- ms ms
- network analysis
- genome wide
- immune response
- gene expression
- bioinformatics analysis
- rna seq
- liquid chromatography tandem mass spectrometry
- cell wall
- stress induced
- computed tomography
- single cell
- dendritic cells
- genome wide analysis
- electronic health record
- artificial intelligence
- simultaneous determination
- data analysis