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Real-time PCR quantification of latent infection of wheat powdery mildew in the field
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-wi...
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Published in: | European journal of plant pathology 2013-07, Vol.136 (3), p.565-575 |
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container_title | European journal of plant pathology |
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creator | Zheng, Yaming Luo, Yong Zhou, Yilin Zeng, Xiaowei Duan, Xiayu Cao, Xueren Song, Yuli Wang, Baotong |
description | 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. |
doi_str_mv | 10.1007/s10658-013-0188-5 |
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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. 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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.</description><subject>Agriculture</subject><subject>Airborne microorganisms</subject><subject>Biomedical and Life Sciences</subject><subject>Blumeria graminis</subject><subject>Blumeria graminis f. sp. tritici</subject><subject>Crop diseases</subject><subject>disease outbreaks</subject><subject>Distribution patterns</subject><subject>Ecology</subject><subject>Epidemics</subject><subject>field experimentation</subject><subject>Field tests</subject><subject>fungi</subject><subject>inoculum</subject><subject>leaves</subject><subject>Life Sciences</subject><subject>Pathogens</subject><subject>Plant Pathology</subject><subject>Plant Sciences</subject><subject>Polymerase chain reaction</subject><subject>powdery mildew</subject><subject>quantitative polymerase chain reaction</subject><subject>Seedlings</subject><subject>Spatial distribution</subject><subject>Triticum aestivum</subject><subject>volunteers</subject><subject>Wheat</subject><issn>0929-1873</issn><issn>1573-8469</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9kcFqGzEURUVpoY7bD-gqgm6ymURPGo2kZTFJGgg0pPVayDNPtsx4xpZkTP4-MpNC6KICIXicc3lcEfIN2DUwpm4SsEbqioEoV-tKfiAzkEpUum7MRzJjhpsKtBKfyUVKW1YcY_iMLJ_R9VUOO6RPi2d6OLohBx9al8M40NHT3mUcMg2Dx_bv7LRBl-l-PHUYX-gu9B2eCkHzBqkP2HdfyCfv-oRf3945Wd7d_ln8rB5_3T8sfjxWrVAiV1wiX62Mw05I0xjRcN2KhinuDHSqFlDXDQcQqFctR_CqM9IopTsJnq-gFnNyNeXu43g4Ysp2F1KLfe8GHI_JglCcNUwDL-j3f9DteIxD2a5QUnEO2qhCwUS1cUwporf7GHYuvlhg9ly0nYq2pWh7LtrK4vDJSYUd1hjfJf9Hupwk70br1jEku_zNGdTlZzQT5bwCcDeHcg</recordid><startdate>20130701</startdate><enddate>20130701</enddate><creator>Zheng, Yaming</creator><creator>Luo, Yong</creator><creator>Zhou, Yilin</creator><creator>Zeng, Xiaowei</creator><creator>Duan, Xiayu</creator><creator>Cao, Xueren</creator><creator>Song, Yuli</creator><creator>Wang, Baotong</creator><general>Springer-Verlag</general><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QL</scope><scope>7T7</scope><scope>7U9</scope><scope>7X2</scope><scope>88A</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20130701</creationdate><title>Real-time PCR quantification of latent infection of wheat powdery mildew in the field</title><author>Zheng, Yaming ; 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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. 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subjects | Agriculture Airborne microorganisms Biomedical and Life Sciences Blumeria graminis Blumeria graminis f. sp. tritici Crop diseases disease outbreaks Distribution patterns Ecology Epidemics field experimentation Field tests fungi inoculum leaves Life Sciences Pathogens Plant Pathology Plant Sciences Polymerase chain reaction powdery mildew quantitative polymerase chain reaction Seedlings Spatial distribution Triticum aestivum volunteers Wheat |
title | Real-time PCR quantification of latent infection of wheat powdery mildew in the field |
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