• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

亚利桑那州 SARS-CoV-2 种群结构和动态的早期大流行分析。

An Early Pandemic Analysis of SARS-CoV-2 Population Structure and Dynamics in Arizona.

机构信息

Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA.

Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona, USA.

出版信息

mBio. 2020 Sep 4;11(5):e02107-20. doi: 10.1128/mBio.02107-20.

DOI:10.1128/mBio.02107-20
PMID:32887735
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7474171/
Abstract

In December of 2019, a novel coronavirus, SARS-CoV-2, emerged in the city of Wuhan, China, causing severe morbidity and mortality. Since then, the virus has swept across the globe, causing millions of confirmed infections and hundreds of thousands of deaths. To better understand the nature of the pandemic and the introduction and spread of the virus in Arizona, we sequenced viral genomes from clinical samples tested at the TGen North Clinical Laboratory, the Arizona Department of Health Services, and those collected as part of community surveillance projects at Arizona State University and the University of Arizona. Phylogenetic analysis of 84 genomes from across Arizona revealed a minimum of 11 distinct introductions inferred to have occurred during February and March. We show that >80% of our sequences descend from strains that were initially circulating widely in Europe but have since dominated the outbreak in the United States. In addition, we show that the first reported case of community transmission in Arizona descended from the Washington state outbreak that was discovered in late February. Notably, none of the observed transmission clusters are epidemiologically linked to the original travel-related case in the state, suggesting successful early isolation and quarantine. Finally, we use molecular clock analyses to demonstrate a lack of identifiable, widespread cryptic transmission in Arizona prior to the middle of February 2020. As the COVID-19 pandemic swept across the United States, there was great differential impact on local and regional communities. One of the earliest and hardest hit regions was in New York, while at the same time Arizona (for example) had low incidence. That situation has changed dramatically, with Arizona now having the highest rate of disease increase in the country. Understanding the roots of the pandemic during the initial months is essential as the pandemic continues and reaches new heights. Genomic analysis and phylogenetic modeling of SARS-COV-2 in Arizona can help to reconstruct population composition and predict the earliest undetected introductions. This foundational work represents the basis for future analysis and understanding as the pandemic continues.

摘要

2019 年 12 月,一种新型冠状病毒 SARS-CoV-2 在中国武汉市出现,导致严重的发病率和死亡率。此后,该病毒席卷全球,导致数百万人感染和数十万人死亡。为了更好地了解疫情的性质以及病毒在亚利桑那州的传入和传播,我们对 TGen North 临床实验室、亚利桑那州卫生署以及亚利桑那州立大学和亚利桑那大学社区监测项目中收集的临床样本进行了病毒基因组测序。对来自亚利桑那州的 84 个基因组的系统发育分析显示,至少有 11 个不同的传入事件发生在 2 月和 3 月期间。我们表明,我们的序列中超过 80%来自最初在欧洲广泛传播但此后在美国疫情中占主导地位的菌株。此外,我们还表明,亚利桑那州首例社区传播病例来自 2 月底发现的华盛顿州疫情。值得注意的是,观察到的传播群没有一个与该州最初的与旅行相关的病例在流行病学上有联系,这表明成功地进行了早期隔离和检疫。最后,我们使用分子钟分析表明,在 2020 年 2 月中旬之前,亚利桑那州没有可识别的广泛隐性传播。随着 COVID-19 疫情席卷美国,对当地和地区社区造成了巨大的不同影响。最早和受打击最严重的地区之一是纽约,而与此同时亚利桑那州(例如)发病率较低。这种情况发生了巨大变化,亚利桑那州现在是美国疾病发病率最高的州。随着疫情的持续和达到新的高度,了解疫情初期的情况至关重要。对亚利桑那州 SARS-COV-2 的基因组分析和系统发育建模可以帮助重建人群构成并预测最早的未检测到的传入事件。这项基础工作代表了疫情持续期间未来分析和理解的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ef/7474171/f63237753cf8/mBio.02107-20-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ef/7474171/48b41b12b1f3/mBio.02107-20-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ef/7474171/d1433a297c0d/mBio.02107-20-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ef/7474171/1f99c0140bfb/mBio.02107-20-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ef/7474171/414d4449db72/mBio.02107-20-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ef/7474171/f63237753cf8/mBio.02107-20-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ef/7474171/48b41b12b1f3/mBio.02107-20-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ef/7474171/d1433a297c0d/mBio.02107-20-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ef/7474171/1f99c0140bfb/mBio.02107-20-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ef/7474171/414d4449db72/mBio.02107-20-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92ef/7474171/f63237753cf8/mBio.02107-20-f0005.jpg

相似文献

1
An Early Pandemic Analysis of SARS-CoV-2 Population Structure and Dynamics in Arizona.亚利桑那州 SARS-CoV-2 种群结构和动态的早期大流行分析。
mBio. 2020 Sep 4;11(5):e02107-20. doi: 10.1128/mBio.02107-20.
2
Analysis of Genomic Characteristics and Transmission Routes of Patients With Confirmed SARS-CoV-2 in Southern California During the Early Stage of the US COVID-19 Pandemic.分析美国 COVID-19 大流行早期南加州确诊 SARS-CoV-2 患者的基因组特征和传播途径。
JAMA Netw Open. 2020 Oct 1;3(10):e2024191. doi: 10.1001/jamanetworkopen.2020.24191.
3
Genomic Analysis of Early SARS-CoV-2 Variants Introduced in Mexico.墨西哥引入的早期新冠病毒变异株的基因组分析
J Virol. 2020 Aug 31;94(18). doi: 10.1128/JVI.01056-20.
4
Phylogeography of SARS-CoV-2 pandemic in Spain: a story of multiple introductions, micro-geographic stratification, founder effects, and super-spreaders.西班牙 SARS-CoV-2 大流行的系统地理学分析:多重传入、微地理分层、奠基者效应和超级传播者的故事。
Zool Res. 2020 Nov 18;41(6):605-620. doi: 10.24272/j.issn.2095-8137.2020.217.
5
Genomic surveillance reveals multiple introductions of SARS-CoV-2 into Northern California.基因组监测揭示了 SARS-CoV-2 多次传入北加州。
Science. 2020 Jul 31;369(6503):582-587. doi: 10.1126/science.abb9263. Epub 2020 Jun 8.
6
Cryptic transmission of SARS-CoV-2 in Washington state.华盛顿州出现的 SARS-CoV-2 隐匿传播。
Science. 2020 Oct 30;370(6516):571-575. doi: 10.1126/science.abc0523. Epub 2020 Sep 10.
7
A Genome Epidemiological Study of SARS-CoV-2 Introduction into Japan.一项关于 SARS-CoV-2 引入日本的全基因组流行病学研究。
mSphere. 2020 Nov 11;5(6):e00786-20. doi: 10.1128/mSphere.00786-20.
8
Genetic grouping of SARS-CoV-2 coronavirus sequences using informative subtype markers for pandemic spread visualization.利用有信息意义的亚型标记对 SARS-CoV-2 冠状病毒序列进行遗传分组,以可视化大流行传播。
PLoS Comput Biol. 2020 Sep 17;16(9):e1008269. doi: 10.1371/journal.pcbi.1008269. eCollection 2020 Sep.
9
Coast-to-Coast Spread of SARS-CoV-2 during the Early Epidemic in the United States.美国新冠疫情早期期间 SARS-CoV-2 的全美蔓延。
Cell. 2020 May 28;181(5):990-996.e5. doi: 10.1016/j.cell.2020.04.021. Epub 2020 May 7.
10
An 81-Nucleotide Deletion in SARS-CoV-2 ORF7a Identified from Sentinel Surveillance in Arizona (January to March 2020).2020年1月至3月在亚利桑那州哨点监测中发现的严重急性呼吸综合征冠状病毒2(SARS-CoV-2)开放阅读框7a(ORF7a)中的81个核苷酸缺失。
J Virol. 2020 Jul 1;94(14). doi: 10.1128/JVI.00711-20.

引用本文的文献

1
Investigation of SARS-CoV-2 Infection among Companion Animals in Households with Confirmed Human COVID-19 Cases.对确诊感染新型冠状病毒肺炎的家庭中的伴侣动物进行严重急性呼吸综合征冠状病毒2感染情况调查。
Pathogens. 2024 Jun 1;13(6):466. doi: 10.3390/pathogens13060466.
2
Pan-Enterovirus Characterization Reveals Cryptic Circulation of Clinically Relevant Subtypes in Arizona Wastewater.泛肠道病毒特征揭示了亚利桑那州废水中临床相关亚型的隐匿传播。
medRxiv. 2024 Mar 20:2023.11.20.23297677. doi: 10.1101/2023.11.20.23297677.
3
Unique Genomic Epidemiology of COVID-19 in the White Mountain Apache Tribe, April to August 2020, Arizona.

本文引用的文献

1
Reproducibly sampling SARS-CoV-2 genomes across time, geography, and viral diversity.在时间、地理和病毒多样性方面重复采样 SARS-CoV-2 基因组。
F1000Res. 2020 Jun 29;9:657. doi: 10.12688/f1000research.24751.2. eCollection 2020.
2
Cryptic transmission of SARS-CoV-2 in Washington state.华盛顿州出现的 SARS-CoV-2 隐匿传播。
Science. 2020 Oct 30;370(6516):571-575. doi: 10.1126/science.abc0523. Epub 2020 Sep 10.
3
Evolutionary origins of the SARS-CoV-2 sarbecovirus lineage responsible for the COVID-19 pandemic.导致 COVID-19 大流行的 SARS-CoV-2 sarbecovirus 谱系的进化起源。
2020 年 4 月至 8 月,美国亚利桑那州白山阿帕切部落的 COVID-19 具有独特的基因组流行病学特征。
mSphere. 2023 Apr 20;8(2):e0065922. doi: 10.1128/msphere.00659-22. Epub 2023 Feb 28.
4
covSampler: A subsampling method with balanced genetic diversity for large-scale SARS-CoV-2 genome data sets.covSampler:一种用于大规模严重急性呼吸综合征冠状病毒2基因组数据集的具有平衡遗传多样性的子采样方法。
Virus Evol. 2022 Aug 5;8(2):veac071. doi: 10.1093/ve/veac071. eCollection 2022.
5
One health genomic surveillance and response to a university-based outbreak of the SARS-CoV-2 Delta AY.25 lineage, Arizona, 2021.一健康基因组监测及对 2021 年亚利桑那州某大学 SARS-CoV-2 Delta AY.25 谱系暴发的响应。
PLoS One. 2022 Oct 31;17(10):e0272830. doi: 10.1371/journal.pone.0272830. eCollection 2022.
6
Single-cell sequencing of brain tissues reveal the central nervous system's susceptibility to SARS-CoV-2 and the drug.脑组织的单细胞测序揭示了中枢神经系统对SARS-CoV-2及该药物的易感性。
Front Pharmacol. 2022 Sep 13;13:971017. doi: 10.3389/fphar.2022.971017. eCollection 2022.
7
VGsim: Scalable viral genealogy simulator for global pandemic.VGsim:用于全球大流行的可扩展病毒系统发育模拟器。
PLoS Comput Biol. 2022 Aug 24;18(8):e1010409. doi: 10.1371/journal.pcbi.1010409. eCollection 2022 Aug.
8
Unlocking capacities of genomics for the COVID-19 response and future pandemics.挖掘基因组学在应对 COVID-19 和未来大流行中的潜力。
Nat Methods. 2022 Apr;19(4):374-380. doi: 10.1038/s41592-022-01444-z.
9
A Pre-Vaccination Baseline of SARS-CoV-2 Genetic Surveillance and Diversity in the United States.美国 SARS-CoV-2 遗传监测和多样性的疫苗接种前基线。
Viruses. 2022 Jan 7;14(1):104. doi: 10.3390/v14010104.
10
Unsupervised clustering analysis of SARS-Cov-2 population structure reveals six major subtypes at early stage across the world.对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)种群结构的无监督聚类分析揭示了全球早期阶段的六种主要亚型。
bioRxiv. 2021 Nov 24:2020.09.04.283358. doi: 10.1101/2020.09.04.283358.
Nat Microbiol. 2020 Nov;5(11):1408-1417. doi: 10.1038/s41564-020-0771-4. Epub 2020 Jul 28.
4
Tracking Changes in SARS-CoV-2 Spike: Evidence that D614G Increases Infectivity of the COVID-19 Virus.追踪 SARS-CoV-2 刺突蛋白的变化:D614G 增加 COVID-19 病毒感染力的证据。
Cell. 2020 Aug 20;182(4):812-827.e19. doi: 10.1016/j.cell.2020.06.043. Epub 2020 Jul 3.
5
A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology.一种用于 SARS-CoV-2 谱系的动态命名建议,以辅助基因组流行病学研究。
Nat Microbiol. 2020 Nov;5(11):1403-1407. doi: 10.1038/s41564-020-0770-5. Epub 2020 Jul 15.
6
Coast-to-Coast Spread of SARS-CoV-2 during the Early Epidemic in the United States.美国新冠疫情早期期间 SARS-CoV-2 的全美蔓延。
Cell. 2020 May 28;181(5):990-996.e5. doi: 10.1016/j.cell.2020.04.021. Epub 2020 May 7.
7
Structural basis for inhibition of the RNA-dependent RNA polymerase from SARS-CoV-2 by remdesivir.瑞德西韦抑制 SARS-CoV-2 的 RNA 依赖性 RNA 聚合酶的结构基础。
Science. 2020 Jun 26;368(6498):1499-1504. doi: 10.1126/science.abc1560. Epub 2020 May 1.
8
An 81-Nucleotide Deletion in SARS-CoV-2 ORF7a Identified from Sentinel Surveillance in Arizona (January to March 2020).2020年1月至3月在亚利桑那州哨点监测中发现的严重急性呼吸综合征冠状病毒2(SARS-CoV-2)开放阅读框7a(ORF7a)中的81个核苷酸缺失。
J Virol. 2020 Jul 1;94(14). doi: 10.1128/JVI.00711-20.
9
Early Detection of Covid-19 through a Citywide Pandemic Surveillance Platform.通过全市范围的疫情监测平台早期发现新冠病毒。
N Engl J Med. 2020 Jul 9;383(2):185-187. doi: 10.1056/NEJMc2008646. Epub 2020 May 1.
10
Emerging SARS-CoV-2 mutation hot spots include a novel RNA-dependent-RNA polymerase variant.新兴的 SARS-CoV-2 突变热点包括一种新型 RNA 依赖性 RNA 聚合酶变体。
J Transl Med. 2020 Apr 22;18(1):179. doi: 10.1186/s12967-020-02344-6.