Unraveling the Molecular Mechanisms of Tomatoes' Defense against Botrytis cinerea : Insights from Transcriptome Analysis of Micro-Tom and Regular Tomato Varieties.

Shifu Tian, Bojing Liu,Yanan Shen, Shasha Cao, Yinyan Lai,Guodong Lu,Zonghua Wang,Airong Wang

Plants (Basel, Switzerland)(2023)

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摘要
is a devastating fungal pathogen that causes severe economic losses in global tomato cultivation. Understanding the molecular mechanisms driving tomatoes' response to this pathogen is crucial for developing effective strategies to counter it. Although the Micro-Tom (MT) cultivar has been used as a model, its stage-specific response to remains poorly understood. In this study, we examined the response of the MT and Ailsa Craig (AC) cultivars to at different time points (12-48 h post-infection (hpi)). Our results indicated that MT exhibited a stronger resistant phenotype at 18-24 hpi but became more susceptible to later (26-48 hpi) compared to AC. Transcriptome analysis revealed differential gene expression between MT at 24 hpi and AC at 22 hpi, with MT showing a greater number of differentially expressed genes (DEGs). Pathway and functional annotation analysis revealed significant differential gene expression in processes related to metabolism, biological regulation, detoxification, photosynthesis, and carbon metabolism, as well as some immune system-related genes. MT demonstrated an increased reliance on Ca pathway-related proteins, such as CNGCs, CDPKs, and CaMCMLs, to resist invasion. infection induced the activation of PTI, ETI, and SA signaling pathways, involving the modulation of various genes such as FLS2, BAK1, CERK1, RPM, SGT1, and EDS1. Furthermore, transcription factors such as WRKY, MYB, NAC, and AUX/IAA families played crucial regulatory roles in tomatoes' defense against . These findings provide valuable insights into the molecular mechanisms underlying tomatoes' defense against and offer potential strategies to enhance plant resistance.
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关键词
B. cinerea,Ca2+,Micro-Tom,tomato,transcription factors,transcriptome sequencing
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