Background <p>Late blight, caused by <i>Phytophthora infestans</i>, is one of the most destructive diseases threatening global potato production.</p> Methods <p>To investigate the molecular basis of resistance, we conducted integrated transcriptomic and metabolomic analyses using leaves of the resistant cultivar DY2 and the susceptible cultivar FW during <i>P. infestans</i> infection.</p> Results <p>Phenotypic evaluation showed that DY2 displayed markedly stronger resistance than FW. Transcriptome analysis revealed that FW had substantially more differentially expressed genes (DEGs) at 96&#xa0;h post-infection (hpi), indicating greater infection pressure. Across six comparisons of each treatment time point (24, 48, and 96 hpi) with 0 hpi, DEGs were enriched in similar defense-related pathways, with 3,181 core DEGs identified. Co-expression network analysis highlighted the central roles of MYB and WRKY transcription factors (TFs) in resistance. KEGG enrichment further showed that jasmonic acid (JA) and salicylic acid (SA) signaling, together with MAPK pathways, were significantly activated during infection. Metabolomic profiling combined with weighted gene co-expression network analysis (WGCNA) revealed that phenylalanine metabolism contributes critically to defense, with early activation of the key enzyme PAL closely linked to resistance in DY2.</p> Conclusions <p>Overall, this study provides a systematic view of transcriptional and metabolic responses of potato to <i>P. infestans</i> and offers valuable insights and candidate genes for breeding late blight–resistant cultivars.</p>

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Transcriptome-metabolome integration reveals MYB/WRKY-RGA network and phenylalanine metabolism in potato late blight resistance

  • Xiaofeng Liu,
  • Huan Zou,
  • Honghao Li,
  • Zhonghan Fan,
  • Xiangquan Fan,
  • Yuhang Zhu,
  • Qinghua Chen,
  • Rongping Hu

摘要

Background

Late blight, caused by Phytophthora infestans, is one of the most destructive diseases threatening global potato production.

Methods

To investigate the molecular basis of resistance, we conducted integrated transcriptomic and metabolomic analyses using leaves of the resistant cultivar DY2 and the susceptible cultivar FW during P. infestans infection.

Results

Phenotypic evaluation showed that DY2 displayed markedly stronger resistance than FW. Transcriptome analysis revealed that FW had substantially more differentially expressed genes (DEGs) at 96 h post-infection (hpi), indicating greater infection pressure. Across six comparisons of each treatment time point (24, 48, and 96 hpi) with 0 hpi, DEGs were enriched in similar defense-related pathways, with 3,181 core DEGs identified. Co-expression network analysis highlighted the central roles of MYB and WRKY transcription factors (TFs) in resistance. KEGG enrichment further showed that jasmonic acid (JA) and salicylic acid (SA) signaling, together with MAPK pathways, were significantly activated during infection. Metabolomic profiling combined with weighted gene co-expression network analysis (WGCNA) revealed that phenylalanine metabolism contributes critically to defense, with early activation of the key enzyme PAL closely linked to resistance in DY2.

Conclusions

Overall, this study provides a systematic view of transcriptional and metabolic responses of potato to P. infestans and offers valuable insights and candidate genes for breeding late blight–resistant cultivars.