Nasheri Neda, Petronella Nicholas, Ronholm Jennifer, Bidawid Sabah, Corneau Nathalie
National Food Virology Reference Centre, Bureau of Microbial Hazards, Food Directorate, Health Canada Ottawa, ON, Canada.
Biostatistics and Modeling Division, Bureau of Food Surveillance and Science Integration, Food Directorate, Health Canada Ottawa, ON, Canada.
Front Microbiol. 2017 Jan 31;8:73. doi: 10.3389/fmicb.2017.00073. eCollection 2017.
Norovirus (NoV) is the leading cause of gastroenteritis worldwide. A robust cell culture system does not exist for NoV and therefore detailed characterization of outbreak and sporadic strains relies on molecular techniques. In this study, we employed a metagenomic approach that uses non-specific amplification followed by next-generation sequencing to whole genome sequence NoV genomes directly from clinical samples obtained from 8 linked patients. Enough sequencing depth was obtained for each sample to use a assembly of near-complete genome sequences. The resultant consensus sequences were then used to identify inter-host nucleotide variations that occur after direct transmission, analyze amino acid variations in the major capsid protein, and provide evidence of recombination events. The analysis of intra-host quasispecies diversity was possible due to high coverage-depth. We also observed a linear relationship between NoV viral load in the clinical sample and the number of sequence reads that could be attributed to NoV. The method demonstrated here has the potential for future use in whole genome sequence analyses of other RNA viruses isolated from clinical, environmental, and food specimens.
诺如病毒(NoV)是全球范围内引起肠胃炎的主要病因。目前尚无用于诺如病毒的强大细胞培养系统,因此,对暴发株和散发病例毒株的详细特征分析依赖于分子技术。在本研究中,我们采用了一种宏基因组学方法,该方法通过非特异性扩增,然后进行新一代测序,直接从8名有联系的患者的临床样本中对诺如病毒基因组进行全基因组测序。每个样本都获得了足够的测序深度,以用于近乎完整的基因组序列组装。然后,将所得的共有序列用于识别直接传播后发生的宿主间核苷酸变异,分析主要衣壳蛋白中的氨基酸变异,并提供重组事件的证据。由于高覆盖深度,对宿主内准种多样性的分析成为可能。我们还观察到临床样本中诺如病毒载量与可归因于诺如病毒的序列读数数量之间存在线性关系。本文展示的方法有潜力在未来用于对从临床、环境和食品标本中分离出的其他RNA病毒进行全基因组序列分析。