Detection and quantification of Rhizoctonia cerealis in soil using real-time PCR

文献类型： 外文期刊

第一作者： Guo, Yingpeng

作者： Guo, Yingpeng;Li, Wei;Sun, Haiyan;Wang, Ning;Chen, Huaigu;Guo, Yingpeng;Yu, Hanshou

作者机构：

关键词： Detection;Quantification;Rhizoctonia cerealis;Real-time PCR;Wheat sharp eyespot

期刊名称：JOURNAL OF GENERAL PLANT PATHOLOGY （ 影响因子：1.449； 五年影响因子：1.416 ）

ISSN： 1345-2630

年卷期： 2012 年 78 卷 4 期

页码：

收录情况： SCI

摘要： Rhizoctonia cerealis E.P. van der Hoeven (anamorph of Ceratobasidium cereale D.I. Murray and Burpee), which causes sharp eyespot in wheat, is a major soilborne fungal pathogen that severely impairs yield and quality of winter wheat in China. Because the pathogen is difficult to identify and quantify in soil using conventional methods, a rapid and reliable method is needed to detect and quantify the fungus. In this study, we developed an SYBR Green-based quantitative real-time polymerase chain reaction assay for specific, sensitive detection and quantification of R. cerealis in soil samples. Using a specific primer pair based on the beta-tubulin gene of the fungal DNA sequence, we could specifically detect R. cerealis at quantities as low as 100 fg of purified pathogen DNA. Using the real-time PCR assays, we were able to quantify R. cerealis in artificially and naturally infested soil samples. This new technique to quantify R. cerealis is rapid and accurate and will be a useful tool for future studies of pathogenic R. cerealis.

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