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http://dx.doi.org/10.5423/PPJ.OA.03.2022.0039

Detection and Quantification of Fusarium oxysporum f. sp. niveum Race 1 in Plants and Soil by Real-time PCR  

Zhong, Xin (College of Horticulture, Hebei Agricultural University)
Yang, Yang (College of Horticulture, Hebei Agricultural University)
Zhao, Jing (College of Horticulture, Hebei Agricultural University)
Gong, Binbin (College of Horticulture, Hebei Agricultural University)
Li, Jingrui (College of Horticulture, Hebei Agricultural University)
Wu, Xiaolei (College of Horticulture, Hebei Agricultural University)
Gao, Hongbo (College of Horticulture, Hebei Agricultural University)
Lu, Guiyun (College of Horticulture, Hebei Agricultural University)
Publication Information
The Plant Pathology Journal / v.38, no.3, 2022 , pp. 229-238 More about this Journal
Abstract
Fusarium wilt caused by Fusarium oxysporum f. sp. niveum (Fon) is the most serious soil-borne disease in the world and has become the main limiting factor of watermelon production. Reliable and quick detection and quantification of Fon are essential in the early stages of infection for control of watermelon Fusarium wilt. Traditional detection and identification tests are laborious and cannot efficiently quantify Fon isolates. In this work, a real-time polymerase chain reaction (PCR) assay has been described to accurately identify and quantify Fon in watermelon plants and soil. The FONRT-18 specific primer set which was designed based on identified specific sequence amplified a specific 172 bp band from Fon and no amplification from the other formae speciales of Fusarium oxysporum tested. The detection limits with primers were 1.26 pg/µl genomic DNA of Fon, 0.2 pg/ng total plant DNA in inoculated plant, and 50 conidia/g soil. The PCR assay could also evaluate the relationships between the disease index and Fon DNA quantity in watermelon plants and soil. The assay was further used to estimate the Fon content in soil after disinfection with CaCN2. The real-time PCR method is rapid, accurate and reliable for monitoring and quantification analysis of Fon in watermelon plants and soil. It can be applied to the study of disease diagnosis, plant-pathogen interactions, and effective management.
Keywords
Fusarium oxysporum f. sp. niveum; plant tissue; quantification; soil; watermelon;
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