Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:European journal of plant pathology 2013-07, Vol.136 (3), p.565-575
Main Authors: Zheng, Yaming, Luo, Yong, Zhou, Yilin, Zeng, Xiaowei, Duan, Xiayu, Cao, Xueren, Song, Yuli, Wang, Baotong
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c373t-25e2bb9aed359693628c36072a91d74314462113e8bc2e1f7d959778d51f2b143
cites cdi_FETCH-LOGICAL-c373t-25e2bb9aed359693628c36072a91d74314462113e8bc2e1f7d959778d51f2b143
container_end_page 575
container_issue 3
container_start_page 565
container_title European journal of plant pathology
container_volume 136
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
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1372060812</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2984732331</sourcerecordid><originalsourceid>FETCH-LOGICAL-c373t-25e2bb9aed359693628c36072a91d74314462113e8bc2e1f7d959778d51f2b143</originalsourceid><addsrcrecordid>eNp9kcFqGzEURUVpoY7bD-gqgm6ymURPGo2kZTFJGgg0pPVayDNPtsx4xpZkTP4-MpNC6KICIXicc3lcEfIN2DUwpm4SsEbqioEoV-tKfiAzkEpUum7MRzJjhpsKtBKfyUVKW1YcY_iMLJ_R9VUOO6RPi2d6OLohBx9al8M40NHT3mUcMg2Dx_bv7LRBl-l-PHUYX-gu9B2eCkHzBqkP2HdfyCfv-oRf3945Wd7d_ln8rB5_3T8sfjxWrVAiV1wiX62Mw05I0xjRcN2KhinuDHSqFlDXDQcQqFctR_CqM9IopTsJnq-gFnNyNeXu43g4Ysp2F1KLfe8GHI_JglCcNUwDL-j3f9DteIxD2a5QUnEO2qhCwUS1cUwporf7GHYuvlhg9ly0nYq2pWh7LtrK4vDJSYUd1hjfJf9Hupwk70br1jEku_zNGdTlZzQT5bwCcDeHcg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1357221897</pqid></control><display><type>article</type><title>Real-time PCR quantification of latent infection of wheat powdery mildew in the field</title><source>Springer Link</source><creator>Zheng, Yaming ; Luo, Yong ; Zhou, Yilin ; Zeng, Xiaowei ; Duan, Xiayu ; Cao, Xueren ; Song, Yuli ; Wang, Baotong</creator><creatorcontrib>Zheng, Yaming ; Luo, Yong ; Zhou, Yilin ; Zeng, Xiaowei ; Duan, Xiayu ; Cao, Xueren ; Song, Yuli ; Wang, Baotong</creatorcontrib><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.</description><identifier>ISSN: 0929-1873</identifier><identifier>EISSN: 1573-8469</identifier><identifier>DOI: 10.1007/s10658-013-0188-5</identifier><language>eng</language><publisher>Dordrecht: Springer-Verlag</publisher><subject>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</subject><ispartof>European journal of plant pathology, 2013-07, Vol.136 (3), p.565-575</ispartof><rights>KNPV 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c373t-25e2bb9aed359693628c36072a91d74314462113e8bc2e1f7d959778d51f2b143</citedby><cites>FETCH-LOGICAL-c373t-25e2bb9aed359693628c36072a91d74314462113e8bc2e1f7d959778d51f2b143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,27905,27906</link.rule.ids></links><search><creatorcontrib>Zheng, Yaming</creatorcontrib><creatorcontrib>Luo, Yong</creatorcontrib><creatorcontrib>Zhou, Yilin</creatorcontrib><creatorcontrib>Zeng, Xiaowei</creatorcontrib><creatorcontrib>Duan, Xiayu</creatorcontrib><creatorcontrib>Cao, Xueren</creatorcontrib><creatorcontrib>Song, Yuli</creatorcontrib><creatorcontrib>Wang, Baotong</creatorcontrib><title>Real-time PCR quantification of latent infection of wheat powdery mildew in the field</title><title>European journal of plant pathology</title><addtitle>Eur J Plant Pathol</addtitle><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.</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 ; Luo, Yong ; Zhou, Yilin ; Zeng, Xiaowei ; Duan, Xiayu ; Cao, Xueren ; Song, Yuli ; Wang, Baotong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c373t-25e2bb9aed359693628c36072a91d74314462113e8bc2e1f7d959778d51f2b143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Agriculture</topic><topic>Airborne microorganisms</topic><topic>Biomedical and Life Sciences</topic><topic>Blumeria graminis</topic><topic>Blumeria graminis f. sp. tritici</topic><topic>Crop diseases</topic><topic>disease outbreaks</topic><topic>Distribution patterns</topic><topic>Ecology</topic><topic>Epidemics</topic><topic>field experimentation</topic><topic>Field tests</topic><topic>fungi</topic><topic>inoculum</topic><topic>leaves</topic><topic>Life Sciences</topic><topic>Pathogens</topic><topic>Plant Pathology</topic><topic>Plant Sciences</topic><topic>Polymerase chain reaction</topic><topic>powdery mildew</topic><topic>quantitative polymerase chain reaction</topic><topic>Seedlings</topic><topic>Spatial distribution</topic><topic>Triticum aestivum</topic><topic>volunteers</topic><topic>Wheat</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zheng, Yaming</creatorcontrib><creatorcontrib>Luo, Yong</creatorcontrib><creatorcontrib>Zhou, Yilin</creatorcontrib><creatorcontrib>Zeng, Xiaowei</creatorcontrib><creatorcontrib>Duan, Xiayu</creatorcontrib><creatorcontrib>Cao, Xueren</creatorcontrib><creatorcontrib>Song, Yuli</creatorcontrib><creatorcontrib>Wang, Baotong</creatorcontrib><collection>AGRIS</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Biology Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>European journal of plant pathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zheng, Yaming</au><au>Luo, Yong</au><au>Zhou, Yilin</au><au>Zeng, Xiaowei</au><au>Duan, Xiayu</au><au>Cao, Xueren</au><au>Song, Yuli</au><au>Wang, Baotong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Real-time PCR quantification of latent infection of wheat powdery mildew in the field</atitle><jtitle>European journal of plant pathology</jtitle><stitle>Eur J Plant Pathol</stitle><date>2013-07-01</date><risdate>2013</risdate><volume>136</volume><issue>3</issue><spage>565</spage><epage>575</epage><pages>565-575</pages><issn>0929-1873</issn><eissn>1573-8469</eissn><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.</abstract><cop>Dordrecht</cop><pub>Springer-Verlag</pub><doi>10.1007/s10658-013-0188-5</doi><tpages>11</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0929-1873
ispartof European journal of plant pathology, 2013-07, Vol.136 (3), p.565-575
issn 0929-1873
1573-8469
language eng
recordid cdi_proquest_miscellaneous_1372060812
source Springer Link
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T09%3A43%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Real-time%20PCR%20quantification%20of%20latent%20infection%20of%20wheat%20powdery%20mildew%20in%20the%20field&rft.jtitle=European%20journal%20of%20plant%20pathology&rft.au=Zheng,%20Yaming&rft.date=2013-07-01&rft.volume=136&rft.issue=3&rft.spage=565&rft.epage=575&rft.pages=565-575&rft.issn=0929-1873&rft.eissn=1573-8469&rft_id=info:doi/10.1007/s10658-013-0188-5&rft_dat=%3Cproquest_cross%3E2984732331%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c373t-25e2bb9aed359693628c36072a91d74314462113e8bc2e1f7d959778d51f2b143%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1357221897&rft_id=info:pmid/&rfr_iscdi=true