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首页> 外文期刊>Journal of Virological Methods >Detection and differentiation of classical swine fever virus strains C and Shimen by high-resolution melt analysis.
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Detection and differentiation of classical swine fever virus strains C and Shimen by high-resolution melt analysis.

机译:通过高分辨率熔解分析检测和区分经典猪瘟病毒C和石门株。

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摘要

Differentiation of classical swine fever virus (CSFV) strains is crucial for the development of effective vaccination programs and in epidemiological investigations. Most of current detection methods do not discriminate between wild-type CSFV strains and those used in vaccines. In this study, method involving high-resolution melt (HRM) curve analysis for the simultaneous detection and differentiation of the C and Shimen strains of CSFV was developed. A specific fragment of the NS2 gene was amplified from various CSFV strains and subjected to HRM curve analysis. Analysis of the melt curve profile for the amplicons of each strain allowed the differentiation of CSFV strains in blood samples taken from the field, or from vaccinated commercial flocks. These findings indicate that HRM curve analysis is a rapid and practical technique for discriminating CSFV isolates/strains; it can contribute to epidemiological studies of CSFV and effective control of classical swine fever.
机译:经典猪瘟病毒(CSFV)株的分化对于制定有效的疫苗接种计划和进行流行病学研究至关重要。当前大多数检测方法不能区分野生型CSFV菌株和疫苗中使用的菌株。在这项研究中,开发了一种包含高分辨率熔体(HRM)曲线分析的方法,用于同时检测和区分CSFV的C和石门菌株。从各种CSFV毒株中扩增NS2基因的特定片段,并进行HRM曲线分析。通过对每种菌株的扩增子的熔解曲线进行分析,可以区分野外或商业接种人群的血液样本中的CSFV菌株。这些发现表明,HRM曲线分析是区分CSFV分离株/菌株的一种快速而实用的技术。它可以为CSFV的流行病学研究和经典猪瘟的有效控制做出贡献。

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