Real-time PCR quantification of latent infection of wheat powdery mildew in the field |
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Authors: | Yaming Zheng Yong Luo Yilin Zhou Xiaowei Zeng Xiayu Duan Xueren Cao Yuli Song Baotong Wang |
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Affiliation: | 1. State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, People’s Republic of China 2. Department of Plant Pathology, China Agricultural University, Beijing, 100193, People’s Republic of China 5. University of California, Kearney Agricultural Center, Parlier, CA, 93648, USA 3. Institute of Plant Protection, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, People’s Republic of China 4. Department of Plant Pathology, Northwest A & F University, Yangling, 712100, People’s Republic of China
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Abstract: | Wheat powdery mildew, caused by the fungal pathogen Blumeria graminis f. sp. tritici (Bgt), is a destructive wheat disease worldwide. The key issue for the disease forecast is to timely and accurately estimate and quantify the latent infection levels in volunteer seedlings where the pathogen over-winters or over-summers to serve as sources of initial inoculum of epidemics. To improve the conventional method, a real-time PCR assay had been established in this study to quantify latent infection level of wheat leaves. Artificially and naturally infected leaves in wheat fields at different geographical locations in China were collected and processed to determine the latent infection levels. Linear relationships between the molecular disease index (MDX) and the observed disease index (DX) were obtained from artificial inoculation experiments. Field experiments showed that the spatial distribution patterns of MDX matched well with those of DX in the most cases. This study demonstrated that the real-time PCR assay was a useful tool to rapidly and accurately quantify the latent infection levels of wheat powdery mildew and to efficiently estimate the initial inoculum potentials of epidemics in the fields. |
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