Department of Pathology and Laboratory Medicine, Nationwide Children's Hospital, Columbus, Ohio, USA.
Department of Pathology, The Ohio State University, Columbus, Ohio, USA.
J Clin Microbiol. 2021 Jul 19;59(8):e0092621. doi: 10.1128/JCM.00926-21.
The emergence of more transmissible and/or more virulent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOC) has triggered intensive genomic surveillance, which is costly and difficult to sustain operationally over the long term. To address this problem, we developed a set of four multiplex mutation-specific PCR-based assays with same-day reporting that can detect five VOC and three variants of interest (VOI), as defined in the March 2021 guidelines from the U.S. Centers for Disease Control and Prevention (https://www.cdc.gov/coronavirus/2019-ncov/). The screening results were compared to the whole-genome sequencing (WGS) and showed 100% concordance for strain typing for B.1.1.7 ( = 25) and P.1 ( = 5) variants using spike (S) mutation S-N501Y, S-E484K, and S-H69-V70del assays. The S-L450R assay, designed to detect the B.1.427/429 VOC, also identified multiple isolates of a newly emerging multiply mutated B.1.526.1 variant that is now rapidly increasing in the eastern United States. PCR approaches can be easily adopted in clinical laboratories, providing rapid screening methods to allow early detection of newly emergent variants and to efficiently triage cases for full genomic sequencing.
更具传染性和/或更强毒性的严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)变异株的出现引发了密集的基因组监测,但这种监测在长期运营上既昂贵又困难。为了解决这个问题,我们开发了一组基于多重突变特异性 PCR 的检测试剂盒,能够在同一天报告结果,可以检测五个关注变异株(VOC)和三个感兴趣变异株(VOI),这是美国疾病控制与预防中心(CDC)在 2021 年 3 月的指南中定义的(https://www.cdc.gov/coronavirus/2019-ncov/)。我们将筛查结果与全基因组测序(WGS)进行比较,使用针对 spike(S)突变 S-N501Y、S-E484K 和 S-H69-V70del 的 S 基因突变 S-N501Y、S-E484K 和 S-H69-V70del 检测试剂盒,对于 B.1.1.7(=25)和 P.1(=5)变异株的株型分型,检测结果与 WGS 具有 100%的一致性。设计用于检测 B.1.427/429 VOC 的 S-L450R 检测试剂盒,还鉴定出了一种新出现的多重突变 B.1.526.1 变异株的多个分离株,这种变异株目前在美国东部迅速增加。PCR 方法可以很容易地被临床实验室采用,提供快速的筛选方法,以便早期发现新出现的变异株,并有效地对全基因组测序进行病例分类。