Saint Petersburg Pasteur Institute, 197101 Saint Petersburg, Russia.
Research Institute for Systems Biology and Medicine, 117246 Moscow, Russia.
Int J Mol Sci. 2023 Jan 25;24(3):2374. doi: 10.3390/ijms24032374.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been responsible for over two years of the COVID-19 pandemic and a global health emergency. Genomic surveillance plays a key role in overcoming the ongoing COVID-19 pandemic despite its relative successive waves and the continuous emergence of new variants. Many technological approaches are currently applied for the whole genome sequencing (WGS) of SARS-CoV-2. They differ in key stages of the process, and they feature some differences in genomic coverage, sequencing depth, and in the accuracy of variant-calling options. In this study, three different protocols for SARS-CoV-2 WGS library construction are compared: an amplicon-based protocol with a commercial primer panel; an amplicon-based protocol with a custom panel; and a hybridization capture protocol. Specific differences in sequencing depth and genomic coverage as well as differences in SNP number were found. The custom panel showed suitable results and a predictable output applicable for the epidemiological surveillance of SARS-CoV-2 variants.
严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)导致 COVID-19 大流行和全球卫生紧急情况已超过两年。尽管 COVID-19 疫情呈连续波浪式发展,且不断出现新的变异株,但基因组监测在克服疫情方面发挥了关键作用。目前有许多技术方法可用于 SARS-CoV-2 的全基因组测序(WGS)。它们在该过程的关键阶段存在差异,在基因组覆盖度、测序深度以及变异检测选项的准确性方面也存在一些差异。在这项研究中,对三种不同的 SARS-CoV-2 WGS 文库构建方案进行了比较:基于扩增子的方案,使用商业引物面板;基于扩增子的方案,使用定制面板;以及杂交捕获方案。发现了测序深度和基因组覆盖度的具体差异以及 SNP 数量的差异。定制面板显示出了合适的结果和可预测的输出,适用于 SARS-CoV-2 变异株的流行病学监测。