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Ultra-Deep Sequencing Analysis of the Hepatitis A Virus 5-Untranslated Region among Cases of the Same Outbreak from a Single Source

机译:一次爆发同一暴发病例中甲型肝炎病毒5-非翻译区的超深度测序分析

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摘要

Hepatitis A virus (HAV) is a causative agent of acute viral hepatitis for which an effective vaccine has been developed. Here we describe ultra-deep pyrosequences (UDPSs) of HAV 5>'-untranslated region (5>'UTR) among cases of the same outbreak, which arose from a single source, associated with a revolving sushi bar. We determined the reference sequence from HAV-derived clone from an attendant by the Sanger method. Sixteen UDPSs from this outbreak and one from another sporadic case were compared with this reference. Nucleotide errors yielded a UDPS error rate of < 1%. This study confirmed that nucleotide substitutions of this region are transition mutations in outbreak cases, that insertion was observed only in non-severe cases, and that these nucleotide substitutions were different from those of the sporadic case. Analysis of UDPSs detected low-prevalence HAV variations in 5>'UTR, but no specific mutations associated with severity in these outbreak cases. To our surprise, HAV strains in this outbreak conserved HAV IRES sequence even if we performed analysis of UDPSs. UDPS analysis of HAV 5>'UTR gave us no association between the disease severity of hepatitis A and HAV 5>'UTR substitutions. It might be more interesting to perform ultra-deep sequencing of full length HAV genome in order to reveal possible unknown genomic determinants associated with disease severity. Further studies will be needed.
机译:甲型肝炎病毒(HAV)是急性病毒性肝炎的病原体,已开发出有效的疫苗。在这里,我们描述了同一暴发病例中HAV 5 >'-非翻译区(5 >' UTR)的超深位焦磷酸序列(UDPS),其来源是单一的,与旋转寿司吧相关联。我们通过Sanger方法从服务员的HAV衍生克隆中确定了参考序列。将此次爆发的16个UDPS和另一个零星的UDPS与该参考文献进行了比较。核苷酸错误产生的UDPS错误率<1%。这项研究证实,在暴发病例中该区域的核苷酸取代是突变突变,​​仅在非严重病例中观察到插入,并且这些核苷酸取代与散发病例不同。 UDPS的分析在5 >' UTR中检测到低流行的HAV变异,但在这些暴发病例中没有与严重性相关的特定突变。令我们惊讶的是,即使我们执行了UDPS分析,在此暴发中的HAV病毒株仍保留了HAV IRES序列。对HAV 5 >' UTR的UDPS分析表明,甲型肝炎的疾病严重程度与HAV 5 >' UTR替代之间没有关联。为了揭示可能与疾病严重性相关的未知基因组决定因素,对全长HAV基因组进行超深度测序可能会更有趣。将需要进一步的研究。

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