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严重急性呼吸综合征冠状病毒2(SARS-CoV-2)核衣壳基因中的单碱基突变会影响序列变体的扩增效率,并可能导致检测失败。

Single base mutations in the nucleocapsid gene of SARS-CoV-2 affects amplification efficiency of sequence variants and may lead to assay failure.

作者信息

Storey Nathaniel, Brown Julianne R, Pereira Rui P A, O'Sullivan Denise M, Huggett Jim F, Williams Rachel, Breuer Judith, Harris Kathryn A

机构信息

Microbiology, Virology and Infection Prevention and Control, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom.

National Measurement Laboratory at LGC, Teddington, United Kingdom.

出版信息

J Clin Virol Plus. 2021 Sep;1(3):100037. doi: 10.1016/j.jcvp.2021.100037. Epub 2021 Aug 15.

Abstract

Reverse transcriptase quantitative PCR (RT-qPCR) is the main diagnostic assay used to detect SARS-CoV-2 RNA in respiratory samples. RT-qPCR is performed by specifically targeting the viral genome using complementary oligonucleotides called primers and probes. This approach relies on prior knowledge of the genetic sequence of the target. Viral genetic variants with changes to the primer/probe binding region may reduce the performance of PCR assays and have the potential to cause assay failure. In this work we demonstrate how two single nucleotide variants (SNVs) altered the amplification curve of a diagnostic PCR targeting the Nucleocapsid (N) gene and illustrate how threshold setting can lead to false-negative results even where the variant sequence is amplified. We also describe how analysis of SARS-CoV-2 genome sequences available in the COVID-19 Genomics UK Consortium (COG-UK) and GISAID databases was performed to predict the impact of sequence variation on the performance of 22 published PCR assays. The vast majority of published primer and probe sequences contain sequence mismatches with at least one SARS-CoV-2 lineage. We recommend that visual observation of amplification curves is included as part of laboratory quality procedures, even in high throughput settings where thresholds are set automatically and that analysis is used to monitor the potential impact of new variants on established assays. Ideally comprehensive analysis should be applied to guide selection of highly conserved genomic regions to target with future SARS-CoV-2 PCR assays.

摘要

逆转录定量聚合酶链反应(RT-qPCR)是用于检测呼吸道样本中严重急性呼吸综合征冠状病毒2(SARS-CoV-2)RNA的主要诊断检测方法。RT-qPCR通过使用称为引物和探针的互补寡核苷酸特异性靶向病毒基因组来进行。这种方法依赖于对靶标基因序列的先验知识。引物/探针结合区域发生变化的病毒基因变异体可能会降低PCR检测的性能,并有可能导致检测失败。在这项工作中,我们展示了两个单核苷酸变异体(SNV)如何改变针对核衣壳(N)基因的诊断性PCR的扩增曲线,并说明了即使变异序列被扩增,阈值设置如何导致假阴性结果。我们还描述了如何对英国COVID-19基因组学联盟(COG-UK)和全球共享流感数据倡议组织(GISAID)数据库中可用的SARS-CoV-2基因组序列进行分析,以预测序列变异对22种已发表的PCR检测性能的影响。绝大多数已发表的引物和探针序列与至少一种SARS-CoV-2谱系存在序列错配。我们建议,即使在自动设置阈值的高通量环境中,将扩增曲线的目视观察作为实验室质量程序的一部分,并且使用分析来监测新变异体对既定检测的潜在影响。理想情况下,应应用全面分析来指导选择高度保守的基因组区域,以用于未来的SARS-CoV-2 PCR检测。

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