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Real-time quantitative isothermal detection of Ostreid herpesvirus-1 DNA in Scapharca subcrenata using recombinase polymerase amplification

文献类型： 外文期刊

作者： Gao, Fang 1 ; Jiang, Jing-Zhe 1 ; Wang, Jiang-Yong 1 ; Wei, Hong-Ying 1 ;

作者机构： 1.Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Minist Agr, Key Lab Aquat Prod Proc, Guangzhou 510300, Guangdong, Peoples R China

2.Shanghai Ocean Univ, Shanghai 201306, Peoples R China

关键词： Ostreid herpesvirus-1; qRPA; Aquaculture; Clinical diagnostics; Scapharca subcrenata

期刊名称：JOURNAL OF VIROLOGICAL METHODS （ 影响因子：2.014； 五年影响因子：2.001 ）

ISSN： 0166-0934

年卷期： 2018 年 255 卷

页码：

收录情况： SCI

摘要： Ostreid herpesvirus-1 (OsHV-1) is a well-known pathogen associated with high mortality rates in hatchery-reared larvae and juveniles of different bivalve species worldwide. Early, rapid and accurate diagnosis plays a fundamental role in disease prevention and control in aquaculture. Recombinase polymerase amplification (RPA) is a novel isothermal amplification method, which can amplify detectable amount of DNA at 37 degrees C-39 degrees C within 20 min. In the present study, two sets of specific primers and probes were designed for the real-time quantitative RPA (qRPA) detection of OsHV-1 DNA. The sensitivity and specificity of detection were evaluated by comparison with quantitative polymerase chain reaction (qPCR). The detection limit for qRPA assays was shown to be 5 copies DNA/reaction for the primer set ORF95, which was lower than the 100 copies required for the qPCR test. The optimal reaction temperature and time were 37 degrees C for 20 min, making this approach faster than qPCR. This is the first study to apply qPCR and qRPA methods to detect OsHV-1 in Scapharca subcrenata. The percentage of viral load sample detected by the two methods was 22% and the correlation of the two virus quantitative results was 0.8. Therefore, qRPA assays is sensitive, fast, and high-temperature independent relative to qPCR and is suitable for critical clinical diagnostics use and rapid field analysis in resource-limited settings.

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