Development of SYBR Green real-time RT-PCR for rapid detection, quantitation and diagnosis of unclassified bovine enteric calicivirus

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dc.contributor.authorS I Park-
dc.contributor.authorD H Park-
dc.contributor.authorL J Saif-
dc.contributor.authorY J Jeong-
dc.contributor.authorD J Shin-
dc.contributor.authorY H Chun-
dc.contributor.authorSu-Jin Park-
dc.contributor.authorH J Kim-
dc.contributor.authorM Hosmillo-
dc.contributor.authorH J Kwon-
dc.contributor.authorM I Kang-
dc.contributor.authorK O Cho-
dc.date.accessioned2017-04-19T09:14:02Z-
dc.date.available2017-04-19T09:14:02Z-
dc.date.issued2009-
dc.identifier.issn0166-0934-
dc.identifier.uri10.1016/j.jviromet.2009.03.001ko
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/9004-
dc.description.abstractUnclassified bovine enteric calicivirus (BECV) is a newly recognized bovine enteric calicivirus that differs from bovine norovirus, and which causes diarrhea in the small intestines of calves. To date, methods such as real-time reverse transcription-polymerase chain reaction (RT-PCR) have not been developed for the rapid detection, quantitation and diagnosis of BECV. Presently, a BECV-specific SYBR Green real-time RT-PCR assay was evaluated and optimized. Diarrheic specimens (n = 118) collected from 2004 to 2005 were subjected to RT-PCR, nested PCR and SYBR Green real-time RT-PCR. By conventional RT-PCR and nested PCR, 9 (7.6%) and 59 (50%) samples tested positive, respectively, whereas the SYBR Green assay detected BECV in 91 (77.1%) samples. Using BECV RNA standards generated by in vitro transcription, the SYBR Green real-time RT-PCR assay sensitively detected BECV RNA to 1.1×100 copies/μl (correlation coefficiency = 0.98). The detection limits of the RT-PCR and nested PCR were 1.1×105 and 1.1×102 copies/μl, respectively. These results indicate that the SYBR Green real-time RT-PCR assay is more sensitive than conventional RT-PCR and nested PCR assays, and has potential as a reliable, reproducible, specific, sensitive and rapid tool for the detection, quantitation and diagnosis of unclassified BECV.-
dc.publisherElsevier-
dc.titleDevelopment of SYBR Green real-time RT-PCR for rapid detection, quantitation and diagnosis of unclassified bovine enteric calicivirus-
dc.title.alternativeDevelopment of SYBR Green real-time RT-PCR for rapid detection, quantitation and diagnosis of unclassified bovine enteric calicivirus-
dc.typeArticle-
dc.citation.titleJournal of Virological Methods-
dc.citation.number1-
dc.citation.endPage68-
dc.citation.startPage64-
dc.citation.volume159-
dc.contributor.affiliatedAuthorSu-Jin Park-
dc.contributor.alternativeName박상익-
dc.contributor.alternativeName박다해-
dc.contributor.alternativeNameSaif-
dc.contributor.alternativeName정영주-
dc.contributor.alternativeName신동준-
dc.contributor.alternativeName전영현-
dc.contributor.alternativeName박수진-
dc.contributor.alternativeName김현정-
dc.contributor.alternativeNameHosmillo-
dc.contributor.alternativeName권형준-
dc.contributor.alternativeName강문일-
dc.contributor.alternativeName조경오-
dc.identifier.bibliographicCitationJournal of Virological Methods, vol. 159, no. 1, pp. 64-68-
dc.identifier.doi10.1016/j.jviromet.2009.03.001-
dc.subject.keywordunclassified bovine enteric calicivirus-
dc.subject.keywordSYBR green real-time RT-PCR-
dc.subject.keywordquantitation-
dc.subject.keywordrapid detection-
dc.subject.localunclassified bovine enteric calicivirus-
dc.subject.localSYBR green real-time RT-PCR-
dc.subject.localSYBR Green real-time RT-PCR-
dc.subject.localquantitation-
dc.subject.localQuantitation-
dc.subject.localrapid detection-
dc.subject.localRapid detection-
dc.description.journalClassY-
Appears in Collections:
Jeonbuk Branch Institute > Functional Biomaterial Research Center > 1. Journal Articles
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