VirID: Beyond Virus Discovery-An Integrated Platform for Comprehensive RNA Virus Characterization.

IF 11 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular biology and evolution Pub Date : 2024-10-04 DOI:10.1093/molbev/msae202
Ziyue Yang, Yongtao Shan, Xue Liu, Guowei Chen, Yuanfei Pan, Qinyu Gou, Jie Zou, Zilong Chang, Qiang Zeng, Chunhui Yang, Jianbin Kong, Yanni Sun, Shaochuan Li, Xu Zhang, Wei-Chen Wu, Chunmei Li, Hong Peng, Edward C Holmes, Deyin Guo, Mang Shi
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Abstract

RNA viruses exhibit vast phylogenetic diversity and can significantly impact public health and agriculture. However, current bioinformatics tools for viral discovery from metagenomic data frequently generate false positive virus results, overestimate viral diversity, and misclassify virus sequences. Additionally, current tools often fail to determine virus-host associations, which hampers investigation of the potential threat posed by a newly detected virus. To address these issues we developed VirID, a software tool specifically designed for the discovery and characterization of RNA viruses from metagenomic data. The basis of VirID is a comprehensive RNA-dependent RNA polymerase database to enhance a workflow that includes RNA virus discovery, phylogenetic analysis, and phylogeny-based virus characterization. Benchmark tests on a simulated data set demonstrated that VirID had high accuracy in profiling viruses and estimating viral richness. In evaluations with real-world samples, VirID was able to identify RNA viruses of all types, but also provided accurate estimations of viral genetic diversity and virus classification, as well as comprehensive insights into virus associations with humans, animals, and plants. VirID therefore offers a robust tool for virus discovery and serves as a valuable resource in basic virological studies, pathogen surveillance, and early warning systems for infectious disease outbreaks.

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VirID:超越病毒发现--RNA 病毒综合特征描述集成平台。
RNA 病毒具有巨大的系统发育多样性,可对公共卫生和农业产生重大影响。然而,目前用于从元基因组数据中发现病毒的生物信息学工具经常会产生假阳性病毒结果,高估病毒多样性,并对病毒序列进行错误分类。此外,目前的工具往往无法确定病毒与宿主的关联,这就阻碍了对新发现病毒所构成潜在威胁的调查。为了解决这些问题,我们开发了 VirID,这是一款专门用于从元基因组数据中发现和鉴定 RNA 病毒的软件工具。VirID 的基础是一个全面的 RNA 依赖性 RNA 聚合酶 (RdRP) 数据库,以加强包括 RNA 病毒发现、系统发育分析和基于系统发育的病毒特征描述在内的工作流程。在模拟数据集上进行的基准测试表明,VirID 在剖析病毒和估计病毒丰富度方面具有很高的准确性。在对真实世界样本的评估中,VirID 不仅能识别所有类型的 RNA 病毒,还能准确估计病毒的遗传多样性和病毒分类,并能全面了解病毒与人类、动物和植物的关联。因此,VirID 为病毒发现提供了强大的工具,是基础病毒学研究、病原体监测和传染病爆发预警系统的宝贵资源。
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来源期刊
Molecular biology and evolution
Molecular biology and evolution 生物-进化生物学
CiteScore
19.70
自引率
3.70%
发文量
257
审稿时长
1 months
期刊介绍: Molecular Biology and Evolution Journal Overview: Publishes research at the interface of molecular (including genomics) and evolutionary biology Considers manuscripts containing patterns, processes, and predictions at all levels of organization: population, taxonomic, functional, and phenotypic Interested in fundamental discoveries, new and improved methods, resources, technologies, and theories advancing evolutionary research Publishes balanced reviews of recent developments in genome evolution and forward-looking perspectives suggesting future directions in molecular evolution applications.
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