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严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的突变率在不同位点之间高度可变,并受序列背景、基因组区域和RNA结构的影响。

The mutation rate of SARS-CoV-2 is highly variable between sites and is influenced by sequence context, genomic region, and RNA structure.

作者信息

Haddox Hugh K, Angehrn Georg, Sesta Luca, Jennings-Shaffer Chris, Temple Seth D, Galloway Jared G, Hinrichs Angie S, DeWitt William S, Bloom Jesse D, Iv Frederick A Matsen, Neher Richard A

机构信息

Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98102, United States.

Biozentrum, University of Basel, Basel 4056, Switzerland.

出版信息

Nucleic Acids Res. 2025 Jun 6;53(11). doi: 10.1093/nar/gkaf503.

Abstract

RNA viruses like SARS-CoV-2 have high mutation rates, which contribute to their rapid evolution. Mutation rates depend on mutation type and can vary between sites in a virus's genome. Understanding this variation can shed light on the mutational processes at play, and is crucial for quantitative modeling of viral evolution. Using millions of SARS-CoV-2 full-genome sequences, we estimate rates of synonymous mutations for each mutation type and examine how much these rates vary between sites. We find a surprisingly high level of variability. A substantial fraction of this variability can be explained by local sequence context, genomic region, and RNA secondary structure. We estimate fitness effects of each mutation based on the number of times it actually occurs versus the number of times it is expected to occur based on a model of the above features. We identify small regions of the genome where synonymous or noncoding mutations occur much less often than expected, indicative of strong purifying selection on the RNA sequence independent of protein sequence. Overall, this work expands our basic understanding of SARS-CoV-2's evolution by characterizing the virus's mutation process at the level of individual sites and uncovering several striking mutational patterns that arise from unknown mechanisms.

摘要

像严重急性呼吸综合征冠状病毒2(SARS-CoV-2)这样的RNA病毒具有很高的突变率,这有助于它们快速进化。突变率取决于突变类型,并且在病毒基因组的不同位点之间可能有所不同。了解这种变异可以揭示正在起作用的突变过程,对于病毒进化的定量建模至关重要。利用数百万条SARS-CoV-2全基因组序列,我们估计了每种突变类型的同义突变率,并研究了这些率在不同位点之间的差异程度。我们发现了令人惊讶的高度变异性。这种变异性的很大一部分可以由局部序列背景、基因组区域和RNA二级结构来解释。我们根据每个突变实际发生的次数与基于上述特征模型预期发生的次数来估计其适应性效应。我们确定了基因组中的小区域,其中同义或非编码突变的发生频率远低于预期,这表明对RNA序列存在独立于蛋白质序列的强烈纯化选择。总体而言,这项工作通过在单个位点水平上表征病毒的突变过程并揭示由未知机制产生的几种显著突变模式,扩展了我们对SARS-CoV-2进化的基本理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7f35/12159741/d99ed5a8a2b6/gkaf503figgra1.jpg

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