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Development qRT-PCR Protocol to Predict Strawberry Fusarium Wilt Occurrenceopen access

Authors
Hong, Sung WonKim, Da-RanKim, Ji SuChoi, GyeongjunJeon, Chang WookKwak, Youn-Sig
Issue Date
Jun-2018
Publisher
KOREAN SOC PLANT PATHOLOGY
Keywords
disease prediction; pathogen densities; qRT-PCR; strawberry Fusarium wilt
Citation
PLANT PATHOLOGY JOURNAL, v.34, no.3, pp 163 - 170
Pages
8
Indexed
SCIE
SCOPUS
KCI
Journal Title
PLANT PATHOLOGY JOURNAL
Volume
34
Number
3
Start Page
163
End Page
170
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/11626
DOI
10.5423/PPJ.OA.12.2017.0265
ISSN
1598-2254
2093-9280
Abstract
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.
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