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RAPID: Deciphering Within-host Diversity and Multi-strain Infections in COVID-19

RAPID: Deciphering Within-host Diversity and Multi-strain Infections in COVID-19
RAPID:破译 COVID-19 中宿主内的多样性和多菌株感染
批准号:
2027669
负责人:
Mohammed El-Kebir
金额:
$10.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-05-15 至 2021-04-30

项目摘要

项目成果

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中文摘要
翻译
为了促进实时疫情管理和缓解战略,迫切需要了解新冠肺炎的传播情况。研究人员通过对新冠肺炎患者的样本进行测序,重建了病毒的进化和传播史。然而,一个关键的挑战是宿主内存在多种病毒株,而目前的算法忽略了这一点。这一快速项目将通过开发算法来表征共存于患者体内的病毒株的持续进化和传播,从而改善国家的新冠肺炎反应。开发的算法将适用于未来的疾病爆发。这个快速项目旨在了解宿主内病毒多样性对当前新冠肺炎传播的影响。该项目将通过开发去卷积新冠肺炎测序样本的算法来识别患者中共存的病毒株。随后,该项目将评估这些共存的菌株是否是多重感染事件的结果。最后,该项目将通过对病毒株突变的蛋白质功能分析来量化已识别病毒株的严重性。结果将通过在线门户网站发布,实验室和医院可以上传他们的测序读数,并生成新冠肺炎病毒株的注释和特征。总而言之,这项研究的目标是通过调查病毒的进化起源及其在宿主物种中的基因变异来了解SARS-CoV-2,以确定分子变异如何与宿主范围相关,并评估进一步出现疾病的风险。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
To facilitate real-time outbreak management and mitigation strategies, there is an urgent need to understand the spread of COVID-19. Researchers reconstruct the evolutionary and transmission history of the virus by applying algorithms to sequencing samples of COVID-19 patients. However, a key challenge is the presence of multiple strains of the virus within hosts, which is overlooked by current algorithms. This RAPID project will improve the nation’s COVID-19 response by developing algorithms to characterize the ongoing evolution and spread of the viral strains that coexist within patients. The developed algorithms will be applicable to future disease outbreaks.This RAPID project seeks to understand the impact of within-host viral diversity on the current spread of COVID-19. The project will identify the viral strains coexisting in patients through the development of algorithms that deconvolve COVID-19 sequencing samples. Subsequently, the project will assess whether or not such coexisting strains are the result of multiple infection events. Finally, the project will quantify the severity of the identified viral strains through a protein functional analysis of their mutations. Results will be disseminated through an online portal that enable labs and hospitals to upload their sequencing reads and generate annotations and characterizations of COVID-19 viral strains.In summary, the goal of this research is to understand SARS-CoV-2 by investigating the evolutionary origins of the virus and its genetic variation within host species in order to determine how molecular variation correlates with host range, and to evaluate risk of further disease emergence.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(4)
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会议论文
DOI: 10.1093/bioinformatics/btaa438
发表时间: 2020
期刊: Bioinformatics
影响因子: 5.8
作者: [Sashittal, Palash, El-Kebir, Mohammed]
通讯作者: El-Kebir, Mohammed
CAREER: Algorithms for Comprehensive and Cost-effective Cancer Phylogeny Inference from Multi-omics Single-cell Sequencing Data
CRII: AF: Towards an Accurate and Complete Characterization of the Solution Space in Phylogeny Estimation from Mixed Samples
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