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通过英国冠状病毒(COVID-19)感染调查三年的数据,捕捉到了谱系替换和进化。

Lineage replacement and evolution captured by 3 years of the United Kingdom Coronavirus (COVID-19) Infection Survey.

机构信息

Big Data Institute, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford OX3 7LF, UK.

Department of Biology, University of Oxford, Oxford OX1 3SZ, UK.

出版信息

Proc Biol Sci. 2023 Oct 25;290(2009):20231284. doi: 10.1098/rspb.2023.1284. Epub 2023 Oct 18.

Abstract

The Office for National Statistics Coronavirus (COVID-19) Infection Survey (ONS-CIS) is the largest surveillance study of SARS-CoV-2 positivity in the community, and collected data on the United Kingdom (UK) epidemic from April 2020 until March 2023 before being paused. Here, we report on the epidemiological and evolutionary dynamics of SARS-CoV-2 determined by analysing the sequenced samples collected by the ONS-CIS during this period. We observed a series of sweeps or partial sweeps, with each sweeping lineage having a distinct growth advantage compared to their predecessors, although this was also accompanied by a gradual fall in average viral burdens from June 2021 to March 2023. The sweeps also generated an alternating pattern in which most samples had either S-gene target failure (SGTF) or non-SGTF over time. Evolution was characterized by steadily increasing divergence and diversity within lineages, but with step increases in divergence associated with each sweeping major lineage. This led to a faster overall rate of evolution when measured at the between-lineage level compared to within lineages, and fluctuating levels of diversity. These observations highlight the value of viral sequencing integrated into community surveillance studies to monitor the viral epidemiology and evolution of SARS-CoV-2, and potentially other pathogens.

摘要

英国国家统计局冠状病毒(COVID-19)感染调查(ONS-CIS)是对社区中 SARS-CoV-2 阳性率进行的最大规模监测研究,该研究从 2020 年 4 月持续到 2023 年 3 月,之后暂停。在这里,我们通过分析在此期间 ONS-CIS 收集的测序样本,报告了 SARS-CoV-2 的流行病学和进化动态。我们观察到一系列扫荡或部分扫荡,与前一代相比,每个扫荡谱系都具有明显的生长优势,尽管这也伴随着平均病毒载量从 2021 年 6 月到 2023 年 3 月的逐渐下降。扫荡还产生了一种交替模式,即随着时间的推移,大多数样本要么出现 S 基因靶标失败(SGTF),要么没有 SGTF。进化的特点是谱系内的分歧和多样性稳步增加,但与每次扫荡主要谱系相关的分歧增加是阶梯式的。与谱系内相比,这导致在谱系间水平上测量时整体进化速度更快,并且多样性水平波动。这些观察结果强调了将病毒测序纳入社区监测研究以监测 SARS-CoV-2 病毒流行病学和进化的价值,以及潜在的其他病原体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ec9/10581763/1a945c329b62/rspb20231284f01.jpg

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