Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA; Nevada Institute of Personalized Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA.
Laboratory of Neurogenetics and Precision Medicine, University of Nevada Las Vegas, Las Vegas, NV 89154, USA.
Sci Total Environ. 2023 Feb 1;858(Pt 3):160024. doi: 10.1016/j.scitotenv.2022.160024. Epub 2022 Nov 8.
The identification of novel SARS-CoV-2 variants can predict new patterns of COVID-19 community transmission and lead to the deployment of public health resources. However, increased access to at-home antigen tests and reduced free PCR tests have recently led to data gaps for the surveillance of evolving SARS-CoV-2 variants. To overcome such limitations, we asked whether wastewater surveillance could be leveraged to detect rare variants circulating in a community before local detection in human cases. Here, we performed whole genome sequencing (WGS) of SARS-CoV-2 from a wastewater treatment plant serving Las Vegas, Nevada in April 2022. Using metrics that exceeded 100× depth at a coverage of >90 % of the viral genome, we identified a variant profile similar to the XL recombinant lineage containing 26 mutations found in BA.1 and BA.2 and three private mutations. Prompted by the discovery of this rare lineage in wastewater, we analyzed clinical COVID-19 sequencing data from Southern Nevada and identified two cases infected with the XL lineage. Taken together, our data highlight how wastewater genome sequencing data can be used to discover rare SARS-CoV-2 lineages in a community and complement local public health surveillance.
鉴定新型 SARS-CoV-2 变体可以预测 COVID-19 社区传播的新模式,并导致公共卫生资源的部署。然而,最近由于家庭抗原检测的增加和免费 PCR 检测的减少,导致对不断演变的 SARS-CoV-2 变体的监测出现数据空白。为了克服这些限制,我们想知道废水监测是否可以用于在当地出现人类病例之前检测社区中循环的罕见变体。在这里,我们对 2022 年 4 月为内华达州拉斯维加斯服务的一个污水处理厂的 SARS-CoV-2 进行了全基因组测序(WGS)。使用深度超过 100×且病毒基因组覆盖率>90%的指标,我们确定了一种与含有 26 种突变的 XL 重组谱系相似的变体谱,这些突变存在于 BA.1 和 BA.2 中,还有三种是私人突变。在废水发现这种罕见谱系后,我们分析了来自南内华达州的 COVID-19 临床测序数据,并发现了两例感染 XL 谱系的病例。总之,我们的数据强调了如何利用废水基因组测序数据来发现社区中的罕见 SARS-CoV-2 谱系,并补充当地公共卫生监测。