Suppr超能文献

实时 COVID-19 监测的高精度、低成本测序。

High-precision and cost-efficient sequencing for real-time COVID-19 surveillance.

机构信息

Department of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

Department of Clinical Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

出版信息

Sci Rep. 2021 Jul 1;11(1):13669. doi: 10.1038/s41598-021-93145-4.

Abstract

COVID-19 global cases have climbed to more than 33 million, with over a million total deaths, as of September, 2020. Real-time massive SARS-CoV-2 whole genome sequencing is key to tracking chains of transmission and estimating the origin of disease outbreaks. Yet no methods have simultaneously achieved high precision, simple workflow, and low cost. We developed a high-precision, cost-efficient SARS-CoV-2 whole genome sequencing platform for COVID-19 genomic surveillance, CorvGenSurv (Coronavirus Genomic Surveillance). CorvGenSurv directly amplified viral RNA from COVID-19 patients' Nasopharyngeal/Oropharyngeal (NP/OP) swab specimens and sequenced the SARS-CoV-2 whole genome in three segments by long-read, high-throughput sequencing. Sequencing of the whole genome in three segments significantly reduced sequencing data waste, thereby preventing dropouts in genome coverage. We validated the precision of our pipeline by both control genomic RNA sequencing and Sanger sequencing. We produced near full-length whole genome sequences from individuals who were COVID-19 test positive during April to June 2020 in Los Angeles County, California, USA. These sequences were highly diverse in the G clade with nine novel amino acid mutations including NSP12-M755I and ORF8-V117F. With its readily adaptable design, CorvGenSurv grants wide access to genomic surveillance, permitting immediate public health response to sudden threats.

摘要

截至 2020 年 9 月,全球新冠肺炎确诊病例已超过 3300 万例,死亡人数超过 100 万。实时大规模 SARS-CoV-2 全基因组测序是追踪传播链和估计疾病爆发源头的关键。然而,目前还没有方法能够同时实现高精度、简单的工作流程和低成本。我们开发了一种高精度、低成本的 SARS-CoV-2 全基因组测序平台,用于 COVID-19 基因组监测,即 CorvGenSurv(冠状病毒基因组监测)。CorvGenSurv 直接从 COVID-19 患者的鼻咽/口咽(NP/OP)拭子标本中扩增病毒 RNA,并通过长读长、高通量测序对 SARS-CoV-2 全基因组的三个片段进行测序。对三个片段进行全基因组测序可显著减少测序数据浪费,从而防止基因组覆盖度下降。我们通过控制基因组 RNA 测序和 Sanger 测序验证了我们的方法的精确性。我们从 2020 年 4 月至 6 月在美国加利福尼亚州洛杉矶县 COVID-19 检测呈阳性的个体中生成了接近全长的全基因组序列。这些序列在 G 分支中高度多样化,有九个新的氨基酸突变,包括 NSP12-M755I 和 ORF8-V117F。CorvGenSurv 的设计易于适应,为基因组监测提供了广泛的途径,使公共卫生部门能够对突发威胁做出迅速反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb73/8249533/cff3c7e6082a/41598_2021_93145_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验