Emerg Infect Dis. 2022 Jun;28(6):1101-1109. doi: 10.3201/eid2806.211821. Epub 2022 Apr 22.
Genomic surveillance has emerged as a critical monitoring tool during the SARS-CoV-2 pandemic. Wastewater surveillance has the potential to identify and track SARS-CoV-2 variants in the community, including emerging variants. We demonstrate the novel use of multilocus sequence typing to identify SARS-CoV-2 variants in wastewater. Using this technique, we observed the emergence of the B.1.351 (Beta) variant in Linn County, Oregon, USA, in wastewater 12 days before this variant was identified in individual clinical specimens. During the study period, we identified 42 B.1.351 clinical specimens that clustered into 3 phylogenetic clades. Eighteen of the 19 clinical specimens and all wastewater B.1.351 specimens from Linn County clustered into clade 1. Our results provide further evidence of the reliability of wastewater surveillance to report localized SARS-CoV-2 sequence information.
基因组监测在 SARS-CoV-2 大流行期间已成为一种关键的监测工具。污水监测有可能识别和追踪社区中的 SARS-CoV-2 变体，包括新出现的变体。我们展示了一种新的利用多位点序列分型来识别污水中 SARS-CoV-2 变体的方法。使用这种技术，我们在美国俄勒冈州林恩县的污水中观察到了 B.1.351（Beta）变体的出现，比在个体临床样本中发现该变体早了 12 天。在研究期间，我们确定了 42 个 B.1.351 临床样本，这些样本聚类为 3 个系统发育枝。林恩县的 19 个临床样本中有 18 个和所有污水中的 B.1.351 样本聚类到了第 1 个枝。我们的结果进一步证明了污水监测在报告局部 SARS-CoV-2 序列信息方面的可靠性。
