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从全基因组序列推断登革病毒的全球进化历史和动态。

Global Evolutionary History and Dynamics of Dengue Viruses Inferred from Whole Genome Sequences.

机构信息

Centre for Immunology and Infection Control, School of Biomedical Sciences, Queensland University of Technology, 300 Herston Road, Herston, QLD 4006, Australia.

eResearch Office, Division of Research and Innovation, Queensland University of Technology, P Block, 2 George Street, Brisbane, QLD 4000, Australia.

出版信息

Viruses. 2022 Mar 28;14(4):703. doi: 10.3390/v14040703.

Abstract

Dengue is an arboviral disease caused by dengue virus (DENV), leading to approximately 25,000 deaths/year and with over 40% of the world's population at risk. Increased international travel and trade, poorly regulated urban expansion, and warming global temperatures have expanded the geographic range and incidence of the virus in recent decades. This study used phylogenetic and selection pressure analyses to investigate trends in DENV evolution, using whole genome coding sequences from publicly available databases alongside newly sequenced isolates collected between 1963-1997 from Southeast Asia and the Pacific. Results revealed very similar phylogenetic relationships when using the envelope gene and the whole genome coding sequences. Although DENV evolution is predominantly driven by negative selection, a number of amino acid sites undergoing positive selection were found across the genome, with the majority located in the envelope and NS5 genes. Some genotypes appear to be diversifying faster than others within each serotype. The results from this research improve our understanding of DENV evolution, with implications for disease control efforts such as -based biocontrol and vaccine design.

摘要

登革热是由登革病毒(DENV)引起的虫媒病毒病,每年导致约 25000 人死亡,全球有超过 40%的人口面临风险。国际旅行和贸易的增加、城市扩张缺乏监管以及全球气温升高,使得该病毒在最近几十年的地理范围和发病率都有所扩大。本研究使用系统发育和选择压力分析来研究 DENV 进化趋势,使用了来自公共数据库的全基因组编码序列以及 1963-1997 年间在东南亚和太平洋地区新分离的病毒。结果表明,使用包膜基因和全基因组编码序列得到了非常相似的系统发育关系。尽管 DENV 进化主要受到负选择的驱动,但在整个基因组中发现了许多经历正选择的氨基酸位点,其中大多数位于包膜和 NS5 基因中。在每个血清型内,一些基因型似乎比其他基因型进化得更快。本研究的结果提高了我们对 DENV 进化的理解,对基于生物控制和疫苗设计的疾病控制工作具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4927/9030598/a30723cb7ded/viruses-14-00703-g001.jpg

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