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Development qRT-PCR Protocol to Predict Strawberry Fusarium Wilt Occurrence
Published online March 7, 2018
© 2018 The Korean Society of Plant Pathology.

Sung Won Hong1,†, Da-Ran Kim2,†, Ji Su Kim1, Gyeongjun Cho1, Chang Wook Jeon1, and Youn-Sig Kwak1,2*

1Division of Applied Life Science (BK21Plus), Gyeongsang National University, Jinju 52828, Korea
2Department of plant medicine, Institute of Agriculture & Life Science, Gyeongsang National University, Jinju 52828 Korea
Correspondence to: Phone) +82-55-772-1922, FAX) +82-55-772-1929
These authors contributed equally to this work as first authors.
Received December 23, 2017; Revised January 23, 2018; Accepted January 30, 2018.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Strawberry Fusarium wilt disease, caused by Fusarium oxysporum f. sp. fragariae, is the most devastate 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 soil borne 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 r2 value of the specific-quantitative primers for qRT-PCR and meting curve were over 0.99 and 80.5°C, respectively. Over pathogen 105 cfu/g of soil was required density to cause the disease in both lab and field conditions. With minimum pathogen density to develop the wilt disease 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 evaluate soil healthiness and appropriate decision making to control the disease.
Keywords : disease prediction, pathogen densities, qRT-PCR, strawberry Fusarium wilt

April 2018, 34 (2)
  • DOAJ