iPhyDSDB: Phytoplasma Disease and Symptom Database

Area of Science:

• Plant Pathology
• Bacteriology
• Bioinformatics

Background:

• Phytoplasmas are intracellular bacteria causing significant economic losses in agriculture.
• Early and rapid diagnosis of phytoplasma infections is critical for disease management.
• Symptom recognition by farmers is key for early detection.

Purpose of the Study:

• To develop a comprehensive Phytoplasma Disease Symptom Database (iPhyDSDB).
• To create a web-based interface for easy access to phytoplasma infection information.
• To aid farmers, growers, and researchers in diagnosing phytoplasma-related plant diseases.

Main Methods:

• Retrieved ~35,000 phytoplasma sequence entries from NCBI.
• Gathered information on 945 plant species associated with phytoplasma infections.
• Manually curated links to symptomatic images and developed a web interface using MySQL and PHP.

Main Results:

• Established the Phytoplasma Disease Symptom Database (iPhyDSDB).
• Included curated links to symptomatic images and descriptive symptom definitions.
• Implemented advanced search functionality based on plant host and symptom type.

Conclusions:

• iPhyDSDB provides a valuable resource for identifying and diagnosing phytoplasma infections.
• The database enhances understanding and management of phytoplasma diseases.
• Facilitates efficient information retrieval for various agricultural stakeholders.