Development qRT-PCR Protocol to Predict Strawberry Fusarium Wilt Occurrence

作者：Hong Sung Won; Kim Da-Ran; Kim Ji Su; Choi Gyeongjun; Jeon Chang Wook; Kwak Youn-Sig^*

来源：Plant Pathology Journal, 2018, 34(3): 163-170.

DOI：10.5423/PPJ.OA.12.2017.0265

• disease prediction
• pathogen densities
• qRT-PCR
• strawberry Fusarium wilt

Strawberry Fusarium wilt disease, caused by Fusarium oxysporum f. sp. fragariae, is the most devastating disease in strawberry production. The pathogen produces chlamydospores which tolerate against harsh environment, fungicide and survive for decades in soil. Development of detection and quantification techniques are regarded significantly in many soilborne pathogens to prevent damage from diseases. In this study, we improved specific-quantitative primers for F. oxysporum f. sp. fragariae to reveal correlation between the pathogen density and the disease severity. Standard curve r(2) value of the specific-quantitative primers for qRT-PCR and meting curve were over 0.99 and 80.5 degrees C, respectively. Over pathogen 10(5) cfu/g of soil was required to cause the disease in both lab and field conditions. With the minimum density to develop the wilt disease, the pathogen affected near 60% in nursery plantation. A biological control microbe agent and soil solarization reduced the pathogen population 2-fold and 1.5-fold in soil, respectively. The developed F. oxysporum f. sp. fragariae specific qRT-PCR protocol may contribute to evaluating soil healthiness and appropriate decision making to control the disease.

• 出版日期2018-6