A New Approach Using the SYBR Green-Based Real-Time PCR Method for Detection of Soft Rot Pectobacterium odoriferum...

Area of Science:

• Plant Pathology
• Bacteriology
• Molecular Diagnostics

Background:

• Pectobacterium odoriferum is the primary pathogen causing soft rot in Kimchi cabbage, leading to significant crop losses.
• Distinguishing P. odoriferum from closely related Pectobacterium species (e.g., P. carotovorum, P. versatile, P. brasiliense) is challenging due to similar characteristics.
• The lack of specific diagnostic methods complicates disease management and control strategies for Pectobacterium-induced soft rot.

Purpose of the Study:

• To develop a Pectobacterium odoriferum-specific diagnostic method for accurate and rapid identification.
• To identify novel species-specific genes for P. odoriferum detection and quantification.
• To enable real-time monitoring of P. odoriferum population density directly in plant tissues.

Main Methods:

• Species-specific genes were selected using the whole genome data of P. odoriferum JK2.1 and related bacterial species from NCBI.
• Blast analysis was performed to confirm the specificity of the selected genes.
• Primer sets targeting HAD family hydrolases were designed and tested using real-time quantitative PCR (qPCR) with SYBR Green.

Main Results:

• Novel species-specific genes for P. odoriferum were identified.
• A specific primer set targeting HAD family hydrolases generated a 360 bp amplicon exclusively in P. odoriferum DNA among 29 tested Pectobacterium and related species.
• The developed qPCR method accurately estimated P. odoriferum population density directly from plant tissues without prior DNA extraction.

Conclusions:

• A novel, rapid, and accurate diagnostic method for Pectobacterium odoriferum has been successfully developed.
• The method enables specific detection and quantification of P. odoriferum, facilitating precise soft rot disease diagnosis in Kimchi cabbage.
• Continuous, non-invasive monitoring of P. odoriferum in plants is now feasible, improving disease management strategies.