疫情初期急性严重急性呼吸系统综合征冠状病毒2型感染的宿主内突变率。

IF 1.9 4区 医学 Q3 GENETICS & HEREDITY
Virus Genes Pub Date : 2023-10-01 Epub Date: 2023-06-13 DOI:10.1007/s11262-023-02011-0
Kim El-Haddad, Thamali M Adhikari, Zheng Jin Tu, Yu-Wei Cheng, Xiaoyi Leng, Xiangyi Zhang, Daniel Rhoads, Jennifer S Ko, Sarah Worley, Jing Li, Brian P Rubin, Frank P Esper
{"title":"疫情初期急性严重急性呼吸系统综合征冠状病毒2型感染的宿主内突变率。","authors":"Kim El-Haddad,&nbsp;Thamali M Adhikari,&nbsp;Zheng Jin Tu,&nbsp;Yu-Wei Cheng,&nbsp;Xiaoyi Leng,&nbsp;Xiangyi Zhang,&nbsp;Daniel Rhoads,&nbsp;Jennifer S Ko,&nbsp;Sarah Worley,&nbsp;Jing Li,&nbsp;Brian P Rubin,&nbsp;Frank P Esper","doi":"10.1007/s11262-023-02011-0","DOIUrl":null,"url":null,"abstract":"<p><p>SARS-CoV-2 mutation is minimized through a proofreading function encoded by NSP-14. Most estimates of the SARS-CoV-2 mutation rate are derived from population based sequence data. Our understanding of SARS-CoV-2 evolution might be enhanced through analysis of intra-host viral mutation rates in specific populations. Viral genome analysis was performed between paired samples and mutations quantified at allele frequencies (AF) ≥ 0.25, ≥ 0.5 and ≥ 0.75. Mutation rate was determined employing F81 and JC69 evolution models and compared between isolates with (ΔNSP-14) and without (wtNSP-14) non-synonymous mutations in NSP-14 and by patient comorbidity. Forty paired samples with median interval of 13 days [IQR 8.5-20] were analyzed. The estimated mutation rate by F81 modeling was 93.6 (95%CI 90.8-96.4], 40.7 (95%CI 38.9-42.6) and 34.7 (95%CI 33.0-36.4) substitutions/genome/year at AF ≥ 0.25, ≥ 0.5, ≥ 0.75 respectively. Mutation rate in ΔNSP-14 were significantly elevated at AF ≥ 0.25 vs wtNSP-14. Patients with immune comorbidities had higher mutation rate at all allele frequencies. Intra-host SARS-CoV-2 mutation rates are substantially higher than those reported through population analysis. Virus strains with altered NSP-14 have accelerated mutation rate at low AF. Immunosuppressed patients have elevated mutation rate at all AF. Understanding intra-host virus evolution will aid in current and future pandemic modeling.</p>","PeriodicalId":51212,"journal":{"name":"Virus Genes","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intra-host mutation rate of acute SARS-CoV-2 infection during the initial pandemic wave.\",\"authors\":\"Kim El-Haddad,&nbsp;Thamali M Adhikari,&nbsp;Zheng Jin Tu,&nbsp;Yu-Wei Cheng,&nbsp;Xiaoyi Leng,&nbsp;Xiangyi Zhang,&nbsp;Daniel Rhoads,&nbsp;Jennifer S Ko,&nbsp;Sarah Worley,&nbsp;Jing Li,&nbsp;Brian P Rubin,&nbsp;Frank P Esper\",\"doi\":\"10.1007/s11262-023-02011-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>SARS-CoV-2 mutation is minimized through a proofreading function encoded by NSP-14. Most estimates of the SARS-CoV-2 mutation rate are derived from population based sequence data. Our understanding of SARS-CoV-2 evolution might be enhanced through analysis of intra-host viral mutation rates in specific populations. Viral genome analysis was performed between paired samples and mutations quantified at allele frequencies (AF) ≥ 0.25, ≥ 0.5 and ≥ 0.75. Mutation rate was determined employing F81 and JC69 evolution models and compared between isolates with (ΔNSP-14) and without (wtNSP-14) non-synonymous mutations in NSP-14 and by patient comorbidity. Forty paired samples with median interval of 13 days [IQR 8.5-20] were analyzed. The estimated mutation rate by F81 modeling was 93.6 (95%CI 90.8-96.4], 40.7 (95%CI 38.9-42.6) and 34.7 (95%CI 33.0-36.4) substitutions/genome/year at AF ≥ 0.25, ≥ 0.5, ≥ 0.75 respectively. Mutation rate in ΔNSP-14 were significantly elevated at AF ≥ 0.25 vs wtNSP-14. Patients with immune comorbidities had higher mutation rate at all allele frequencies. Intra-host SARS-CoV-2 mutation rates are substantially higher than those reported through population analysis. Virus strains with altered NSP-14 have accelerated mutation rate at low AF. Immunosuppressed patients have elevated mutation rate at all AF. Understanding intra-host virus evolution will aid in current and future pandemic modeling.</p>\",\"PeriodicalId\":51212,\"journal\":{\"name\":\"Virus Genes\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Virus Genes\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s11262-023-02011-0\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/6/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Virus Genes","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s11262-023-02011-0","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/13 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

摘要

通过NSP-14编码的校对功能,严重急性呼吸系统综合征冠状病毒2型突变被最小化。对严重急性呼吸系统综合征冠状病毒2型突变率的大多数估计都来自基于人群的序列数据。通过分析特定人群中宿主内病毒突变率,我们对严重急性呼吸系统综合征冠状病毒2型进化的理解可能会得到加强。在配对样本和等位基因频率(AF)量化的突变之间进行病毒基因组分析 ≥ 0.25, ≥ 0.5和 ≥ 0.75.使用F81和JC69进化模型测定突变率,并在NSP-14中具有(ΔNSP-14)和不具有(wtNSP-14)非同义突变的分离株之间进行比较,并通过患者共病进行比较。分析了40个配对样本,中位间隔为13天[IQR8.5-20]。通过F81建模估计的AF突变率为93.6(95%CI 90.8-96.4])、40.7(95%CI 38.9-42.6)和34.7(95%CI 33.0-36.4)个取代/基因组/年 ≥ 0.25, ≥ 0.5, ≥ 0.75。ΔNSP-14的突变率在AF时显著升高 ≥ 0.25相对于wtNSP-14。患有免疫合并症的患者在所有等位基因频率下的突变率都较高。宿主内严重急性呼吸系统综合征冠状病毒2型突变率大大高于通过群体分析报告的突变率。NSP-14改变的病毒株在低AF下突变率加快。免疫抑制的患者在所有AF下的突变率都升高。了解宿主内病毒进化将有助于当前和未来的大流行建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Intra-host mutation rate of acute SARS-CoV-2 infection during the initial pandemic wave.

Intra-host mutation rate of acute SARS-CoV-2 infection during the initial pandemic wave.

SARS-CoV-2 mutation is minimized through a proofreading function encoded by NSP-14. Most estimates of the SARS-CoV-2 mutation rate are derived from population based sequence data. Our understanding of SARS-CoV-2 evolution might be enhanced through analysis of intra-host viral mutation rates in specific populations. Viral genome analysis was performed between paired samples and mutations quantified at allele frequencies (AF) ≥ 0.25, ≥ 0.5 and ≥ 0.75. Mutation rate was determined employing F81 and JC69 evolution models and compared between isolates with (ΔNSP-14) and without (wtNSP-14) non-synonymous mutations in NSP-14 and by patient comorbidity. Forty paired samples with median interval of 13 days [IQR 8.5-20] were analyzed. The estimated mutation rate by F81 modeling was 93.6 (95%CI 90.8-96.4], 40.7 (95%CI 38.9-42.6) and 34.7 (95%CI 33.0-36.4) substitutions/genome/year at AF ≥ 0.25, ≥ 0.5, ≥ 0.75 respectively. Mutation rate in ΔNSP-14 were significantly elevated at AF ≥ 0.25 vs wtNSP-14. Patients with immune comorbidities had higher mutation rate at all allele frequencies. Intra-host SARS-CoV-2 mutation rates are substantially higher than those reported through population analysis. Virus strains with altered NSP-14 have accelerated mutation rate at low AF. Immunosuppressed patients have elevated mutation rate at all AF. Understanding intra-host virus evolution will aid in current and future pandemic modeling.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Virus Genes
Virus Genes 医学-病毒学
CiteScore
3.30
自引率
0.00%
发文量
76
审稿时长
3 months
期刊介绍: Viruses are convenient models for the elucidation of life processes. The study of viruses is again on the cutting edge of biological sciences: systems biology, genomics, proteomics, metagenomics, using the newest most powerful tools. Huge amounts of new details on virus interactions with the cell, other pathogens and the hosts – animal (including human), insect, fungal, plant, bacterial, and archaeal - and their role in infection and disease are forthcoming in perplexing details requiring analysis and comments. Virus Genes is dedicated to the publication of studies on the structure and function of viruses and their genes, the molecular and systems interactions with the host and all applications derived thereof, providing a forum for the analysis of data and discussion of its implications, and the development of new hypotheses.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信