Pathogen recognition in compatible plant-microbe interactions.

Area of Science:

• Plant pathology
• Molecular biology
• Agricultural science

Background:

• Microbial plant leaf infections pose significant agricultural challenges.
• Understanding molecular disease mechanisms is crucial for effective control strategies.
• Early-stage transcriptional changes in susceptible plants are under-documented.

Purpose of the Study:

• To investigate differential transcriptional changes in tomato leaves 24 hours post-inoculation (hpi) with three distinct pathogens.
• To compare early molecular responses to Phytophthora infestans, Botrytis cinerea, and Oidium neolycopersici.
• To identify specific gene expression patterns associated with early-stage plant disease.

Main Methods:

• RNA sequencing (RNA-seq) was employed to analyze whole-transcriptome changes.
• Differential gene expression analysis was performed comparing pathogen-infected and mock-inoculated tomato leaflets.
• A Bayesian approach was used to identify genes differentially expressed across all three disease conditions.

Main Results:

• Botrytis cinerea infection showed the most progression by 24 hpi, with visible symptoms and significant gene expression changes.
• RNA-seq identified 50 tomato genes specifically induced by B. cinerea and 18 by P. infestans at 24 hpi.
• A core set of 63 genes were differentially expressed across all three pathogen infections.
• Gene expression patterns varied depending on the inoculation technique used.

Conclusions:

• Tomato plants exhibit specific and distinct transcriptional responses to B. cinerea and P. infestans invasions at 24 hpi.
• These findings suggest that plants possess mechanisms to recognize invading pathogens early in the infection process.
• The study highlights the importance of early molecular events in plant-pathogen interactions for disease management.