Department of Food Biosciences, Teagasc Food Research Centre, Fermoy, Ireland.
Department of Shellfish Microbiology, Marine Institute, Oranmore, Ireland.
Appl Environ Microbiol. 2023 May 31;89(5):e0216522. doi: 10.1128/aem.02165-22. Epub 2023 Apr 18.
Norovirus is a highly diverse RNA virus often implicated in foodborne outbreaks, particularly those associated with shellfish. Shellfish are filter feeders, and when harvested in bays exposed to wastewater overflow or storm overflows, they can harbor various pathogens, including human-pathogenic viruses. The application of Sanger or amplicon-based high-throughput sequencing (HTS) technologies to identify human pathogens in shellfish faces two main challenges: (i) distinguishing multiple genotypes/variants in a single sample and (ii) low concentrations of norovirus RNA. Here, we assessed the performance of a novel norovirus capsid amplicon HTS method. We generated a panel of spiked oysters containing various norovirus concentrations with different genotypic compositions. Several DNA polymerases and reverse transcriptases (RTs) were compared, and performance was evaluated based on (i) the number of reads passing quality filters per sample, (ii) the number of correct genotypes identified, and (iii) the sequence identity of outputs compared to Sanger-derived sequences. A combination of the reverse transcriptase LunaScript and the DNA polymerase AmpliTaq Gold provided the best results. The method was then employed, and compared with Sanger sequencing, to characterize norovirus populations in naturally contaminated oysters. While foodborne outbreaks account for approximately 14% of norovirus cases (L. Verhoef, J. Hewitt, L. Barclay, S. Ahmed, R. Lake, A. J. Hall, B. Lopman, A. Kroneman, H. Vennema, J. Vinjé, and M. Koopmans, Emerg Infect Dis 21:592-599, 2015), we do not have standardized high-throughput sequencing methods for genotypic characterization in foodstuffs. Here, we present an optimized amplicon high-throughput sequencing method for the genotypic characterization of norovirus in oysters. This method can accurately detect and characterize norovirus at concentrations found in oysters grown in production areas impacted by human wastewater discharges. It will permit the investigation of norovirus genetic diversity in complex matrices and contribute to ongoing surveillance of norovirus in the environment.
诺如病毒是一种高度多样化的 RNA 病毒,常与食源性暴发有关,特别是与贝类有关。贝类是滤食动物,当在暴露于污水溢出或风暴溢流的海湾中收获时,它们可能携带各种病原体,包括人类病原体病毒。桑格或基于扩增子的高通量测序 (HTS) 技术在贝类中识别人类病原体面临两个主要挑战:(i) 在单个样本中区分多种基因型/变体,(ii) 诺如病毒 RNA 的浓度低。在这里,我们评估了一种新型诺如病毒衣壳扩增子 HTS 方法的性能。我们生成了一组含有不同基因型组成的不同浓度诺如病毒的人工污染牡蛎。比较了几种 DNA 聚合酶和逆转录酶 (RT),并根据 (i) 每个样品通过质量过滤的读数数量、(ii) 鉴定的正确基因型数量以及 (iii) 与 Sanger 衍生序列相比的输出序列同一性来评估性能。逆转录酶 LunaScript 和 DNA 聚合酶 AmpliTaq Gold 的组合提供了最佳结果。然后,该方法与 Sanger 测序进行了比较,以表征自然污染牡蛎中的诺如病毒群体。虽然食源性暴发约占诺如病毒病例的 14%(L. Verhoef、J. Hewitt、L. Barclay、S. Ahmed、R. Lake、A. J. Hall、B. Lopman、A. Kroneman、H. Vennema、J. Vinjé 和 M. Koopmans,Emerg Infect Dis 21:592-599, 2015),但我们没有用于食品中基因型特征的标准化高通量测序方法。在这里,我们提出了一种优化的扩增子高通量测序方法,用于牡蛎中诺如病毒的基因型特征。该方法可以准确检测和表征在受人类污水排放影响的生产区养殖的牡蛎中发现的浓度的诺如病毒。它将允许在复杂基质中研究诺如病毒的遗传多样性,并有助于对环境中诺如病毒的持续监测。