Transcriptomic Analysis of L. Roots during the Early Infection Process

Area of Science:

• Plant pathology
• Molecular biology
• Genomics

Background:

• Verticillium wilt is a major threat to olive cultivation, causing significant economic losses.
• Understanding gene expression during plant-pathogen interactions in woody plants like olive is limited.

Purpose of the Study:

• To perform a comprehensive RNA-seq transcriptomic analysis of olive tree roots infected by Verticillium dahliae.
• To identify differentially expressed genes (DEGs) in both the plant and pathogen during infection.

Main Methods:

• RNA-sequencing (RNA-seq) was performed on olive tree roots at 2 and 7 days post-infection.
• Transcriptome assembly was conducted using the Trinity assembler, yielding olive (Oleup) and pathogen (Vedah) transcriptomes.
• Differential gene expression analysis was performed to identify DEGs.

Main Results:

• The olive transcriptome (Oleup) comprised 68,259 unigenes, and the pathogen transcriptome (Vedah) comprised 37,425 unigenes.
• Differentially expressed genes (DEGs) were clustered based on expression patterns, with plant genes in subclusters A-C and pathogen genes in D-F.
• Plant DEGs in subclusters B and C were enriched in proteolysis and protein-folding/biosynthesis genes. A reactive oxygen species (ROS) defense was observed, induced first in the pathogen, then in the plant.

Conclusions:

• This study provides valuable insights into the molecular mechanisms underlying Verticillium wilt in olive trees.
• The findings highlight the roles of protein processing and ROS signaling in the plant-pathogen interaction.
• The generated transcriptomic data serves as a foundation for future research into olive disease resistance.