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开发并验证一种临床实验室高通量 SARS-CoV-2 全基因组测序工作流程。

Development and validation of a high throughput SARS-CoV-2 whole genome sequencing workflow in a clinical laboratory.

机构信息

Quest Diagnostics, San Juan Capistrano, CA, 92675, USA.

出版信息

Sci Rep. 2022 Feb 8;12(1):2054. doi: 10.1038/s41598-022-06091-0.

Abstract

Monitoring new mutations in SARS-CoV-2 provides crucial information for identifying diagnostic and therapeutic targets and important insights to achieve a more effective COVID-19 control strategy. Next generation sequencing (NGS) technologies have been widely used for whole genome sequencing (WGS) of SARS-CoV-2. While various NGS methods have been reported, one chief limitation has been the complexity of the workflow, limiting the scalability. Here, we overcome this limitation by designing a laboratory workflow optimized for high-throughput studies. The workflow utilizes modified ARTIC network v3 primers for SARS-CoV-2 whole genome amplification. NGS libraries were prepared by a 2-step PCR method, similar to a previously reported tailed PCR method, with further optimizations to improve amplicon balance, to minimize amplicon dropout for viral genomes harboring primer-binding site mutation(s), and to integrate robotic liquid handlers. Validation studies demonstrated that the optimized workflow can process up to 2688 samples in a single sequencing run without compromising sensitivity and accuracy and with fewer amplicon dropout events compared to the standard ARTIC protocol. We additionally report results for over 65,000 SARS-CoV-2 whole genome sequences from clinical specimens collected in the United States between January and September of 2021, as part of an ongoing national genomics surveillance effort.

摘要

监测 SARS-CoV-2 的新突变可为鉴定诊断和治疗靶点提供关键信息,并为实现更有效的 COVID-19 控制策略提供重要见解。下一代测序 (NGS) 技术已广泛用于 SARS-CoV-2 的全基因组测序 (WGS)。虽然已经报道了各种 NGS 方法,但主要的限制之一是工作流程的复杂性,限制了可扩展性。在这里,我们通过设计一个针对高通量研究进行优化的实验室工作流程来克服这一限制。该工作流程利用经过修改的 ARTIC 网络 v3 引物对 SARS-CoV-2 全基因组进行扩增。通过两步 PCR 方法制备 NGS 文库,类似于先前报道的长尾 PCR 方法,并进行了进一步的优化,以改善扩增子平衡,减少含有引物结合位点突变的病毒基因组的扩增子丢失,并集成机器人液体处理装置。验证研究表明,该优化的工作流程可以在单个测序运行中处理多达 2688 个样本,而不会影响灵敏度和准确性,并且与标准的 ARTIC 协议相比,扩增子丢失事件更少。我们还报告了 2021 年 1 月至 9 月期间在美国收集的临床标本中超过 65000 个 SARS-CoV-2 全基因组序列的结果,这是正在进行的国家基因组监测工作的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c24/8826425/f6578454487c/41598_2022_6091_Fig1_HTML.jpg

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