'Vivaldi': an amplicon-based whole-genome sequencing method for the four seasonal human coronaviruses, 229E, NL63, OC43 and HKU1, alongside SARS-CoV-2

“Vivaldi”:一种基于扩增子的全基因组测序方法,可用于对四种季节性人类冠状病毒(229E、NL63、OC43 和 HKU1)以及 SARS-CoV-2 进行测序。

阅读:1

Abstract

Prior to the emergence of SARS-CoV-2 in 2019, alphacoronaviruses 229E and NL63 and betacoronaviruses OC43 and HKU1 were already established endemic 'common cold' viral infections. Despite their collective contribution towards global respiratory morbidity and mortality and potential to inform the future trajectory of SARS-CoV-2 endemicity, they are infrequently sequenced. We therefore developed a 1,200 bp amplicon whole-genome sequencing scheme targeting all four seasonal coronaviruses and SARS-CoV-2. The 'Vivaldi' method was applied retrospectively and prospectively using Oxford Nanopore Technology to ~400 seasonal coronavirus infections diagnosed in Nottingham, UK, from February 2016 to July 2023. We demonstrate that the amplicon multiplex strategy can be applied agnostically to determine the complete genomes of five different species from two coronaviral genera. Three hundred and four unique seasonal coronavirus genomes of greater than 95% coverage were achieved: 64 for 229E, 85 for NL63, 128 for OC43 and 27 for HKU1. They collectively indicated a dynamic seasonal coronavirus genomic landscape, with co-circulation of multiple variants emerging and declining over the UK winter respiratory infection season, with further geographical distinction when compared to a global dataset. Prolonged infection with concomitant intra-host evolution was also observed for both alpha- (NL63) and betacoronaviruses (OC43). This data represents the largest single cohort of seasonal coronavirus genomes to date and also a novel amplicon scheme for their future global surveillance suitable for widespread and easy adoption in the post-SARS-CoV-2 era of viral genomics.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。