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用于 CLC 微生物基因组学中快速序列分析和系统基因组学发现的定制猴痘病毒基因组数据库(MPXV DB v1.0)。

A Customized Monkeypox Virus Genomic Database (MPXV DB v1.0) for Rapid Sequence Analysis and Phylogenomic Discoveries in CLC Microbial Genomics.

机构信息

Department of Clinical Investigation, Gynecologic Oncology & Clinical Investigation, Brooke Army Medical Center, Fort Sam Houston, TX 78234, USA.

Department of Molecular Microbiology and Immunology, University of Texas at San Antonio, San Antonio, TX 78249, USA.

出版信息

Viruses. 2022 Dec 22;15(1):40. doi: 10.3390/v15010040.

Abstract

Monkeypox has been a neglected, zoonotic tropical disease for over 50 years. Since the 2022 global outbreak, hundreds of human clinical samples have been subjected to next-generation sequencing (NGS) worldwide with raw data deposited in public repositories. However, sequence analysis for in-depth investigation of viral evolution remains hindered by the lack of a curated, whole genome Monkeypox virus (MPXV) database (DB) and efficient bioinformatics pipelines. To address this, we developed a customized MPXV DB for integration with "ready-to-use" workflows in the CLC Microbial Genomics Module for whole genomic and metagenomic analysis. After database construction (218 MPXV genomes), whole genome alignment, pairwise comparison, and evolutionary analysis of all genomes were analyzed to autogenerate tabular outputs and visual displays (collective runtime: 16 min). The clinical utility of the MPXV DB was demonstrated by using a Chimpanzee fecal, hybrid-capture NGS dataset (publicly available) for metagenomic, phylogenomic, and viral/host integration analysis. The clinically relevant MPXV DB embedded in CLC workflows proved to be a rapid method of sequence analysis useful for phylogenomic exploration and a wide range of applications in translational science.

摘要

猴痘是一种被忽视的热带人畜共患病,已有 50 多年的历史。自 2022 年全球爆发以来,全球已对数百个人类临床样本进行了下一代测序(NGS),原始数据已存入公共存储库。然而,由于缺乏经过校对的全基因组猴痘病毒(MPXV)数据库(DB)和有效的生物信息学管道,对病毒进化的深入调查的序列分析仍然受到阻碍。为了解决这个问题,我们开发了一个定制的 MPXV DB,用于与 CLC 微生物基因组模块中的“即用型”工作流程集成,用于全基因组和宏基因组分析。在数据库构建(218 个 MPXV 基因组)之后,对所有基因组进行了全基因组比对、两两比较和进化分析,以自动生成表格输出和可视化显示(总运行时间:16 分钟)。通过使用公共可用的黑猩猩粪便混合捕获 NGS 数据集进行宏基因组、系统发育基因组学和病毒/宿主整合分析,展示了 MPXV DB 的临床实用性。嵌入 CLC 工作流程中的临床相关 MPXV DB 被证明是一种快速的序列分析方法,可用于系统发育探索和转化科学的广泛应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6b0/9861985/20f83217417a/viruses-15-00040-g001.jpg

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