Virology Surveillance and Research Section, Department of Microbiological diagnostics and Virology, Statens Serum Institut, Copenhagen, Denmark.
Department of Microbiology and Infection Control, Statens Serum Institut, Copenhagen, Denmark.
Sci Rep. 2017 Apr 11;7(1):813. doi: 10.1038/s41598-017-00926-x.
Norovirus (NoV) is the most common cause of non-bacterial gastroenteritis and is a major agent associated with outbreaks of gastroenteritis. Conventional molecular genotyping analysis of NoV, used for the identification of transmission routes, relies on standard typing methods (STM) by Sanger-sequencing of only a limited part of the NoV genome, which could lead to wrong conclusions. Here, we combined a NoV capture method with next generation sequencing (NGS), which increased the proportion of norovirus reads by ~40 fold compared to NGS without prior capture. Of 15 NoV samples from 6 single-genotype outbreaks, near full-genome coverage (>90%) was obtained from 9 samples. Fourteen polymerase (RdRp) and 15 capsid (cap) genotypes were identified compared to 12 and 13 for the STM, respectively. Analysis of 9 samples from two mixed-genotype outbreaks identified 6 RdRp and 6 cap genotypes (two at >90% NoV genome coverage) compared to 4 and 2 for the STM, respectively. Furthermore, complete or partial sequences from the P2 hypervariable region were obtained from 7 of 8 outbreaks and a new NoV recombinant was identified. This approach could therefore strengthen outbreak investigations and could be applied to other important viruses in stool samples such as hepatitis A and enterovirus.
诺如病毒(NoV)是最常见的非细菌性肠胃炎病原体,也是导致肠胃炎爆发的主要病原体之一。传统的诺如病毒分子基因分型分析用于确定传播途径,依赖于 Sanger 测序的标准分型方法(STM),仅对诺如病毒基因组的有限部分进行测序,这可能导致错误的结论。在这里,我们结合了诺如病毒捕获方法和下一代测序(NGS),与未经捕获的 NGS 相比,诺如病毒的读长比例增加了约 40 倍。在来自 6 个单基因型爆发的 15 个 NoV 样本中,从 9 个样本中获得了近乎全基因组覆盖(>90%)。与 STM 相比,分别鉴定出 14 个聚合酶(RdRp)和 15 个衣壳(cap)基因型,而 STM 分别为 12 个和 13 个。对来自两个混合基因型爆发的 9 个样本的分析鉴定出 6 个 RdRp 和 6 个 cap 基因型(两个样本的 NoV 基因组覆盖率>90%),而 STM 分别为 4 个和 2 个。此外,从 8 个爆发中的 7 个获得了 P2 高变区的完整或部分序列,并鉴定出一种新的 NoV 重组体。因此,这种方法可以加强爆发调查,也可以应用于粪便样本中的其他重要病毒,如甲型肝炎和肠道病毒。