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首页> 外文期刊>Journal of Virological Methods >Highly sensitive detection of swine vesicular disease virus based on a single tube RT-PCR system and DIG-ELISA detection.
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Highly sensitive detection of swine vesicular disease virus based on a single tube RT-PCR system and DIG-ELISA detection.

机译:基于单管RT-PCR系统和DIG-ELISA检测的猪水泡病病毒的高灵敏度检测。

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摘要

A highly sensitive detection of swine vesicular disease virus (SVDV) based on a single tube RT-PCR system and digoxigenin (DIG)-PCR-ELISA detection was developed. Using a one tube RT-PCR system, optimisation of the PCR conditions and optimisation of the microwell hybridisation and colourimetric detection of the amplicons resulted in a method that could detect viral RNA in infected tissue culture fluid with a titre as low as 0.1 TCID50/100 microl. The same sensitivity was obtained with SVDV-spiked faeces, if the samples were pre-treated with 1,1,2-trichlorotrifluoroethane/chloroform and subsequently concentrated using an ultrafiltration system and RNA extracted with the Purescript kit. The specificity of the test was validated on 27 SVDV strains belonging to four different groups. No cross-reactivity with genetically and symptomatically related viruses was detected using RNA of foot-and-mouth disease virus (FMDV), porcine enterovirus (PEV), vesicular stomatitis virus (VSV), Coxsackie B5 virus (CV-B5) and encephalomyocarditis virus (EMCV). The test was validated successfully on clinical samples, being slightly more sensitive and much faster than virus isolation on cell cultures. Moreover the possibility of automating the procedure will allow the processing of large numbers of clinical samples.
机译:开发了基于单管RT-PCR系统和洋地黄毒苷(DIG)-PCR-ELISA检测的猪水泡病病毒(SVDV)高灵敏度检测方法。使用单管RT-PCR系统,优化PCR条件,优化微孔杂交和比色法检测扩增子导致了一种方法,该方法可以检测滴度低至0.1 TCID50 / 100的感染组织培养液中的病毒RNA微升如果将样品用1,1,2-三氯三氟乙烷/氯仿预处理,然后使用超滤系统浓缩,然后用Purescript试剂盒提取RNA,则使用SVDV加标粪便可获得相同的灵敏度。测试的特异性在属于四个不同组的27种SVDV菌株上得到验证。使用口蹄疫病毒(FMDV),猪肠道病毒(PEV),水疱性口炎病毒(VSV),柯萨奇B5病毒(CV-B5)和脑心肌炎病毒的RNA,未发现与遗传和症状相关病毒的交叉反应(EMCV)。该测试已在临床样品上成功验证,比在细胞培养物中分离病毒要敏感得多,并且速度要快得多。此外,使过程自动化的可能性将允许处理大量临床样品。

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