Suppr超能文献

丹麦近 29 万份 SARS-CoV-2 基因组的高分辨率流行病学图谱。

High-resolution epidemiological landscape from  ~290,000 SARS-CoV-2 genomes from Denmark.

机构信息

Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, London, UK.

出版信息

Nat Commun. 2024 Aug 20;15(1):7123. doi: 10.1038/s41467-024-51371-0.

Abstract

Vast amounts of pathogen genomic, demographic and spatial data are transforming our understanding of SARS-CoV-2 emergence and spread. We examined the drivers of molecular evolution and spread of 291,791 SARS-CoV-2 genomes from Denmark in 2021. With a sequencing rate consistently exceeding 60%, and up to 80% of PCR-positive samples between March and November, the viral genome set is broadly whole-epidemic representative. We identify a consistent rise in viral diversity over time, with notable spikes upon the importation of novel variants (e.g., Delta and Omicron). By linking genomic data with rich individual-level demographic data from national registers, we find that individuals aged  < 15 and  > 75 years had a lower contribution to molecular change (i.e., branch lengths) compared to other age groups, but similar molecular evolutionary rates, suggesting a lower likelihood of introducing novel variants. Similarly, we find greater molecular change among vaccinated individuals, suggestive of immune evasion. We also observe evidence of transmission in rural areas to follow predictable diffusion processes. Conversely, urban areas are expectedly more complex due to their high mobility, emphasising the role of population structure in driving virus spread. Our analyses highlight the added value of integrating genomic data with detailed demographic and spatial information, particularly in the absence of structured infection surveys.

摘要

大量的病原体基因组、人口统计学和空间数据正在改变我们对 SARS-CoV-2 出现和传播的理解。我们研究了 2021 年丹麦 291791 个 SARS-CoV-2 基因组的分子进化和传播的驱动因素。测序率始终超过 60%,3 月至 11 月期间,多达 80%的 PCR 阳性样本,病毒基因组集广泛代表了整个疫情。我们发现病毒多样性随着时间的推移持续增加,在新型变体(如 Delta 和 Omicron)输入时出现明显高峰。通过将基因组数据与来自国家登记处的丰富个体水平人口统计学数据联系起来,我们发现年龄<15 岁和>75 岁的个体与其他年龄组相比,对分子变化(即分支长度)的贡献较低,但分子进化率相似,这表明引入新型变体的可能性较低。同样,我们发现接种疫苗的个体中发生了更大的分子变化,这表明存在免疫逃逸。我们还观察到农村地区存在传播的证据,遵循可预测的扩散过程。相反,由于其高流动性,城市地区预计更加复杂,这强调了人口结构在病毒传播中的作用。我们的分析强调了将基因组数据与详细的人口统计学和空间信息相结合的附加价值,特别是在缺乏结构化感染调查的情况下。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b87/11335946/a31ccf35432c/41467_2024_51371_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