An improved validated SYBR green-based real-time quantitative PCR assay for the detection of the Penaeus stylirostris densovirus in penaeid shrimp

•A SYBR-Green based real-time PCR for IHHNV detection was developed.•Current diagnostic PCR tests may result in false-positive results.•This assay is highly sensitive, specific, economical, reproducible, and accurate. The Penaeus stylirostris densovirus (PstDV) (also known as infectious hypodermal a...

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Published inJournal of virological methods Vol. 212; pp. 53 - 58
Main Authors Encinas-García, Trinidad, Mendoza-Cano, Fernando, Enríquez-Espinoza, Tania, Luken-Vega, Leonardo, Vichido-Chávez, Rodrigo, Sánchez-Paz, Arturo
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.02.2015
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Summary:•A SYBR-Green based real-time PCR for IHHNV detection was developed.•Current diagnostic PCR tests may result in false-positive results.•This assay is highly sensitive, specific, economical, reproducible, and accurate. The Penaeus stylirostris densovirus (PstDV) (also known as infectious hypodermal and hematopoietic necrosis virus, IHHNV), one of the major shrimp pathogens, has a worldwide distribution in farmed and wild shrimp populations. Outbreaks of IHHNV have been associated with substantial economic losses which are accompanied by a negative social impact. Current diagnostic PCR tests may result in false-positive results as several parts of PstDV genome may be endogenized in the nuclear genome of the shrimp P. stylirostris. A one-step qPCR SYBR-Green based quantitative real-time polymerase chain reaction (qPCR) assay to detect different isolates of the IHHNV in shrimp samples was developed. The detection limit of the assay was 81 viral copies of targeted DNA per reaction. The specificity of the assay was evaluated by melting curve analysis, which showed that the IHHNV product generated a single melt peak at 81.4±0.044°C. The assay was more sensitive than conventional PCR. The standardized PCR was shown to be highly sensible, specific, robust, and reproducible, which makes it an economical and powerful tool for both diagnostic applications and general research of IHHNV.
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ISSN:0166-0934
1879-0984
DOI:10.1016/j.jviromet.2014.10.014