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通过单核苷酸多态性基因分型检测严重急性呼吸综合征冠状病毒2(SARS-CoV-2)变体

Detecting SARS-CoV-2 variants with SNP genotyping.

作者信息

Harper Helen, Burridge Amanda, Winfield Mark, Finn Adam, Davidson Andrew, Matthews David, Hutchings Stephanie, Vipond Barry, Jain Nisha, Edwards Keith, Barker Gary

机构信息

School of Biological Sciences, University of Bristol, Bristol, United Kingdom.

School of Cellular and Molecular Medicine, University of Bristol, Bristol, United Kingdom.

出版信息

PLoS One. 2021 Feb 24;16(2):e0243185. doi: 10.1371/journal.pone.0243185. eCollection 2021.

Abstract

Tracking genetic variations from positive SARS-CoV-2 samples yields crucial information about the number of variants circulating in an outbreak and the possible lines of transmission but sequencing every positive SARS-CoV-2 sample would be prohibitively costly for population-scale test and trace operations. Genotyping is a rapid, high-throughput and low-cost alternative for screening positive SARS-CoV-2 samples in many settings. We have designed a SNP identification pipeline to identify genetic variation using sequenced SARS-CoV-2 samples. Our pipeline identifies a minimal marker panel that can define distinct genotypes. To evaluate the system, we developed a genotyping panel to detect variants-identified from SARS-CoV-2 sequences surveyed between March and May 2020 and tested this on 50 stored qRT-PCR positive SARS-CoV-2 clinical samples that had been collected across the South West of the UK in April 2020. The 50 samples split into 15 distinct genotypes and there was a 61.9% probability that any two randomly chosen samples from our set of 50 would have a distinct genotype. In a high throughput laboratory, qRT-PCR positive samples pooled into 384-well plates could be screened with a marker panel at a cost of < £1.50 per sample. Our results demonstrate the usefulness of a SNP genotyping panel to provide a rapid, cost-effective, and reliable way to monitor SARS-CoV-2 variants circulating in an outbreak. Our analysis pipeline is publicly available and will allow for marker panels to be updated periodically as viral genotypes arise or disappear from circulation.

摘要

追踪新冠病毒阳性样本中的基因变异,可获取有关疫情中传播的变异毒株数量以及可能的传播途径的关键信息,但对大规模的检测与追踪行动而言,对每一个新冠病毒阳性样本进行测序成本过高。在许多情况下,基因分型是一种快速、高通量且低成本的筛选新冠病毒阳性样本的替代方法。我们设计了一个单核苷酸多态性(SNP)鉴定流程,用于通过测序的新冠病毒样本识别基因变异。我们的流程确定了一个最小标记组,该标记组可定义不同的基因型。为评估该系统,我们开发了一个基因分型组,用于检测从2020年3月至5月期间调查的新冠病毒序列中鉴定出的变异毒株,并在2020年4月于英国西南部采集的50份储存的定量逆转录聚合酶链反应(qRT-PCR)阳性新冠病毒临床样本上进行了测试。这50个样本分为15种不同的基因型,从我们这50个样本中任意随机选取的两个样本具有不同基因型的概率为61.9%。在高通量实验室中,以<1.50英镑/样本的成本,使用标记组对汇集到384孔板中的qRT-PCR阳性样本进行筛选。我们的结果证明了SNP基因分型组在提供一种快速、经济高效且可靠的方式来监测疫情中传播的新冠病毒变异毒株方面的有用性。我们的分析流程已公开,将允许随着病毒基因型在传播中出现或消失而定期更新标记组。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb21/7904205/b0186575516b/pone.0243185.g001.jpg

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