Identification of Soybean mosaic virus strains by RT-PCR/RFLP analysis of cylindrical inclusion coding region

A reverse-transcriptase polymerase chain reaction/restriction fragment length polymorphism (RT-PCR/RFLP) was employed successfully for detection and identification of Soybean mosaic virus (SMV) strains. A primer pair amplifying a 1,385-bp fragment of the cylindrical inclusion (CI) coding region was...

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Veröffentlicht in:Plant disease 2004-06, Vol.88 (6), p.641-644
Hauptverfasser: Kim, Y.H, Kim, O.S, Roh, J.H, Moon, J.K, Sohn, S.I, Lee, J.Y
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container_issue 6
container_start_page 641
container_title Plant disease
container_volume 88
creator Kim, Y.H
Kim, O.S
Roh, J.H
Moon, J.K
Sohn, S.I
Lee, J.Y
description A reverse-transcriptase polymerase chain reaction/restriction fragment length polymorphism (RT-PCR/RFLP) was employed successfully for detection and identification of Soybean mosaic virus (SMV) strains. A primer pair amplifying a 1,385-bp fragment of the cylindrical inclusion (CI) coding region was used for RT-PCR and the RFLP profiles of the RT-PCR products were compared after restriction digestion with RsaI, EcoRI, or AccI restriction endonucleases. These enzymes were chosen based on the nucleotide sequences of SMV strains G2, G5, G5H, G7, and G7H in the CI coding region. These five strains, as well as seedborne SMV isolates from local soybean cultivars, could be differentiated by RT-PCR/RFLP analysis. The results correlated well with strain identification by symptom phenotypes produced on differential cultivars inoculated with strains and isolates. The sensitivity of RT-PCR enabled detection of SMV from plants with necrotic symptoms in which the number of virus particles was too low to be detected by enzyme-linked immunosorbent assay.
doi_str_mv 10.1094/PDIS.2004.88.6.641
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A primer pair amplifying a 1,385-bp fragment of the cylindrical inclusion (CI) coding region was used for RT-PCR and the RFLP profiles of the RT-PCR products were compared after restriction digestion with RsaI, EcoRI, or AccI restriction endonucleases. These enzymes were chosen based on the nucleotide sequences of SMV strains G2, G5, G5H, G7, and G7H in the CI coding region. These five strains, as well as seedborne SMV isolates from local soybean cultivars, could be differentiated by RT-PCR/RFLP analysis. The results correlated well with strain identification by symptom phenotypes produced on differential cultivars inoculated with strains and isolates. The sensitivity of RT-PCR enabled detection of SMV from plants with necrotic symptoms in which the number of virus particles was too low to be detected by enzyme-linked immunosorbent assay.</description><identifier>ISSN: 0191-2917</identifier><identifier>EISSN: 1943-7692</identifier><identifier>DOI: 10.1094/PDIS.2004.88.6.641</identifier><identifier>PMID: 30812585</identifier><identifier>CODEN: PLDIDE</identifier><language>eng</language><publisher>St. Paul, MN: American Phytopathological Society</publisher><subject>Biological and medical sciences ; cylindrical includion coding region ; Fundamental and applied biological sciences. Psychology ; genes ; Glycine max ; microbial detection ; pathogen identification ; Phytopathology. Animal pests. Plant and forest protection ; Plant viruses and viroids ; restriction fragment length polymorphism ; reverse transcriptase polymerase chain reaction ; Soybean mosaic virus ; Soybeans ; strains ; virulence</subject><ispartof>Plant disease, 2004-06, Vol.88 (6), p.641-644</ispartof><rights>2004 INIST-CNRS</rights><rights>Copyright American Phytopathological Society Jun 2004</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c457t-4503aab06414be016e64c32a4d49f366b8bc078a0cf9fe3126ae6af27ba223383</citedby><cites>FETCH-LOGICAL-c457t-4503aab06414be016e64c32a4d49f366b8bc078a0cf9fe3126ae6af27ba223383</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,3711,27903,27904</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=15775176$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30812585$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Y.H</creatorcontrib><creatorcontrib>Kim, O.S</creatorcontrib><creatorcontrib>Roh, J.H</creatorcontrib><creatorcontrib>Moon, J.K</creatorcontrib><creatorcontrib>Sohn, S.I</creatorcontrib><creatorcontrib>Lee, J.Y</creatorcontrib><title>Identification of Soybean mosaic virus strains by RT-PCR/RFLP analysis of cylindrical inclusion coding region</title><title>Plant disease</title><addtitle>Plant Dis</addtitle><description>A reverse-transcriptase polymerase chain reaction/restriction fragment length polymorphism (RT-PCR/RFLP) was employed successfully for detection and identification of Soybean mosaic virus (SMV) strains. A primer pair amplifying a 1,385-bp fragment of the cylindrical inclusion (CI) coding region was used for RT-PCR and the RFLP profiles of the RT-PCR products were compared after restriction digestion with RsaI, EcoRI, or AccI restriction endonucleases. These enzymes were chosen based on the nucleotide sequences of SMV strains G2, G5, G5H, G7, and G7H in the CI coding region. These five strains, as well as seedborne SMV isolates from local soybean cultivars, could be differentiated by RT-PCR/RFLP analysis. The results correlated well with strain identification by symptom phenotypes produced on differential cultivars inoculated with strains and isolates. 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Plant and forest protection</subject><subject>Plant viruses and viroids</subject><subject>restriction fragment length polymorphism</subject><subject>reverse transcriptase polymerase chain reaction</subject><subject>Soybean mosaic virus</subject><subject>Soybeans</subject><subject>strains</subject><subject>virulence</subject><issn>0191-2917</issn><issn>1943-7692</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kV2L1DAYhYMo7uzqH_BCi7DiTbv5aj4ul9HVgQGHmd3rkKbJkKVN16QV-u9NnVHBC6_CC8954OQA8AbBCkFJb3afNocKQ0grISpWMYqegRWSlJScSfwcrCCSqMQS8QtwmdIjzChl4iW4IFAgXIt6BfpNa8PonTd69EMoBlcchrmxOhT9kLQ3xQ8fp1SkMWofUtHMxf6-3K33N_u77a7QQXdz8mnJmbnzoY3Z1BU-mG5Ki9AMrQ_HItpjvl6BF053yb4-v1fg4e7z_fpruf32ZbO-3ZaG1nwsaQ2J1g3MjWhjIWKWUUOwpi2VjjDWiMZALjQ0TjpLEGbaMu0wbzTGhAhyBT6evE9x-D7ZNKreJ2O7Tgc7TElhJDjEDHOe0Q__RRGXAspf4Pt_wMdhirl_1mEpKMqbZAifIBOHlKJ16in6XsdZIaiW0dQymlpGU0IopnLFHHp7Nk9Nb9s_kd8rZeD6DOiUf9dFHYxPf9U15zXiLHPvTpzTg9LHmJmHA4aIQCgZlRKSnyU9qAs</recordid><startdate>20040601</startdate><enddate>20040601</enddate><creator>Kim, Y.H</creator><creator>Kim, O.S</creator><creator>Roh, J.H</creator><creator>Moon, J.K</creator><creator>Sohn, S.I</creator><creator>Lee, J.Y</creator><general>American Phytopathological Society</general><scope>FBQ</scope><scope>IQODW</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>7XB</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M0K</scope><scope>M2O</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>S0X</scope><scope>7T7</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20040601</creationdate><title>Identification of Soybean mosaic virus strains by RT-PCR/RFLP analysis of cylindrical inclusion coding region</title><author>Kim, Y.H ; Kim, O.S ; Roh, J.H ; Moon, J.K ; Sohn, S.I ; Lee, J.Y</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c457t-4503aab06414be016e64c32a4d49f366b8bc078a0cf9fe3126ae6af27ba223383</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Biological and medical sciences</topic><topic>cylindrical includion coding region</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>genes</topic><topic>Glycine max</topic><topic>microbial detection</topic><topic>pathogen identification</topic><topic>Phytopathology. Animal pests. Plant and forest protection</topic><topic>Plant viruses and viroids</topic><topic>restriction fragment length polymorphism</topic><topic>reverse transcriptase polymerase chain reaction</topic><topic>Soybean mosaic virus</topic><topic>Soybeans</topic><topic>strains</topic><topic>virulence</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Y.H</creatorcontrib><creatorcontrib>Kim, O.S</creatorcontrib><creatorcontrib>Roh, J.H</creatorcontrib><creatorcontrib>Moon, J.K</creatorcontrib><creatorcontrib>Sohn, S.I</creatorcontrib><creatorcontrib>Lee, J.Y</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Agricultural Science Database</collection><collection>Research Library</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Plant disease</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Y.H</au><au>Kim, O.S</au><au>Roh, J.H</au><au>Moon, J.K</au><au>Sohn, S.I</au><au>Lee, J.Y</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of Soybean mosaic virus strains by RT-PCR/RFLP analysis of cylindrical inclusion coding region</atitle><jtitle>Plant disease</jtitle><addtitle>Plant Dis</addtitle><date>2004-06-01</date><risdate>2004</risdate><volume>88</volume><issue>6</issue><spage>641</spage><epage>644</epage><pages>641-644</pages><issn>0191-2917</issn><eissn>1943-7692</eissn><coden>PLDIDE</coden><abstract>A reverse-transcriptase polymerase chain reaction/restriction fragment length polymorphism (RT-PCR/RFLP) was employed successfully for detection and identification of Soybean mosaic virus (SMV) strains. A primer pair amplifying a 1,385-bp fragment of the cylindrical inclusion (CI) coding region was used for RT-PCR and the RFLP profiles of the RT-PCR products were compared after restriction digestion with RsaI, EcoRI, or AccI restriction endonucleases. These enzymes were chosen based on the nucleotide sequences of SMV strains G2, G5, G5H, G7, and G7H in the CI coding region. These five strains, as well as seedborne SMV isolates from local soybean cultivars, could be differentiated by RT-PCR/RFLP analysis. The results correlated well with strain identification by symptom phenotypes produced on differential cultivars inoculated with strains and isolates. The sensitivity of RT-PCR enabled detection of SMV from plants with necrotic symptoms in which the number of virus particles was too low to be detected by enzyme-linked immunosorbent assay.</abstract><cop>St. Paul, MN</cop><pub>American Phytopathological Society</pub><pmid>30812585</pmid><doi>10.1094/PDIS.2004.88.6.641</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record>
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source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection; American Phytopathological Society Journal Back Issues
subjects Biological and medical sciences
cylindrical includion coding region
Fundamental and applied biological sciences. Psychology
genes
Glycine max
microbial detection
pathogen identification
Phytopathology. Animal pests. Plant and forest protection
Plant viruses and viroids
restriction fragment length polymorphism
reverse transcriptase polymerase chain reaction
Soybean mosaic virus
Soybeans
strains
virulence
title Identification of Soybean mosaic virus strains by RT-PCR/RFLP analysis of cylindrical inclusion coding region
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