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大规模医院相关基因组监测背景下的严重急性呼吸综合征冠状病毒2(SARS-CoV-2)宿主内遗传多样性

Within-host genetic diversity of SARS-CoV-2 in the context of large-scale hospital-associated genomic surveillance.

作者信息

Mushegian Alexandra A, Long Scott W, Olsen Randall J, Christensen Paul A, Subedi Sishir, Chung Matthew, Davis James, Musser James, Ghedin Elodie

机构信息

Systems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD USA.

Laboratory of Molecular and Translational Human Infectious Diseases Research, Center for Infectious Diseases, Department of Pathology and Genomic Medicine, Houston Methodist Research Institute and Houston Methodist Hospital Houston, Texas, 77030.

出版信息

medRxiv. 2022 Aug 19:2022.08.17.22278898. doi: 10.1101/2022.08.17.22278898.

Abstract

The COVID-19 pandemic has resulted in extensive surveillance of the genomic diversity of SARS-CoV-2. Sequencing data generated as part of these efforts can also capture the diversity of the SARS-CoV-2 virus populations replicating within infected individuals. To assess this within-host diversity of SARS-CoV-2 we quantified low frequency (minor) variants from deep sequence data of thousands of clinical samples collected by a large urban hospital system over the course of a year. Using a robust analytical pipeline to control for technical artefacts, we observe that at comparable viral loads, specimens from patients hospitalized due to COVID-19 had a greater number of minor variants than samples from outpatients. Since individuals with highly diverse viral populations could be disproportionate drivers of new viral lineages in the patient population, these results suggest that transmission control should pay special attention to patients with severe or protracted disease to prevent the spread of novel variants.

摘要

新冠疫情促使人们对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的基因组多样性进行广泛监测。作为这些工作的一部分所产生的测序数据,也能够捕捉到在受感染个体体内复制的SARS-CoV-2病毒群体的多样性。为了评估SARS-CoV-2的这种宿主内多样性,我们对一家大型城市医院系统在一年时间里收集的数千份临床样本的深度测序数据中的低频(次要)变异进行了量化。通过使用强大的分析流程来控制技术假象,我们观察到,在病毒载量相当的情况下,因新冠病毒住院患者的样本比门诊患者的样本有更多的次要变异。由于病毒群体高度多样化的个体可能在患者群体中不成比例地推动新病毒谱系的产生,这些结果表明,传播控制应特别关注患有严重或持续性疾病的患者,以防止新变异的传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be86/9413716/6e7d1dbbc2ed/nihpp-2022.08.17.22278898v1-f0001.jpg

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