Development qRT-PCR Protocol to Predict Strawberry Fusarium Wilt Occurrence.

Area of Science:

• Plant Pathology
• Microbiology
• Molecular Biology

Background:

• Fusarium wilt disease, caused by Fusarium oxysporum f. sp. fragariae, is a major threat to strawberry production.
• The pathogen's chlamydospores ensure long-term soil survival, posing significant challenges for disease control.
• Accurate detection and quantification methods are crucial for managing soilborne pathogens like F. oxysporum.

Purpose of the Study:

• To develop and optimize specific-quantitative primers for detecting Fusarium oxysporum f. sp. fragariae.
• To establish a correlation between pathogen density and strawberry Fusarium wilt disease severity.
• To provide a reliable tool for assessing soil health and informing disease management strategies.

Main Methods:

• Development of specific-quantitative primers for Fusarium oxysporum f. sp. fragariae.
• Application of quantitative real-time PCR (qRT-PCR) for pathogen detection and quantification.
• Correlation analysis between pathogen density (cfu/g soil) and disease incidence in laboratory and field conditions.

Main Results:

• The developed qRT-PCR primers demonstrated high specificity and efficiency (r² > 0.99, melting curve 80.5°C).
• A pathogen density exceeding 10^5 cfu/g of soil was identified as the threshold for causing Fusarium wilt in strawberries.
• Biological control and soil solarization effectively reduced pathogen populations by 2-fold and 1.5-fold, respectively.

Conclusions:

• The optimized qRT-PCR protocol provides a sensitive method for detecting and quantifying Fusarium oxysporum f. sp. fragariae in soil.
• This technique can aid in evaluating soil health and making informed decisions for managing strawberry Fusarium wilt.
• Understanding the pathogen density threshold is vital for implementing effective disease control measures.