埃博拉病毒比较基因组学

Ebolavirus comparative genomics.

作者信息

Jun Se-Ran, Leuze Michael R, Nookaew Intawat, Uberbacher Edward C, Land Miriam, Zhang Qian, Wanchai Visanu, Chai Juanjuan, Nielsen Morten, Trolle Thomas, Lund Ole, Buzard Gregory S, Pedersen Thomas D, Wassenaar Trudy M, Ussery David W

机构信息

Comparative Genomics Group, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA Joint Institute for Computational Sciences, University of Tennessee, Knoxville, TN 37996, USA.

Computer Science and Mathematics Division, Computer Science Research Group, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.

出版信息

FEMS Microbiol Rev. 2015 Sep;39(5):764-78. doi: 10.1093/femsre/fuv031. Epub 2015 Jul 14.

Abstract

The 2014 Ebola outbreak in West Africa is the largest documented for this virus. To examine the dynamics of this genome, we compare more than 100 currently available ebolavirus genomes to each other and to other viral genomes. Based on oligomer frequency analysis, the family Filoviridae forms a distinct group from all other sequenced viral genomes. All filovirus genomes sequenced to date encode proteins with similar functions and gene order, although there is considerable divergence in sequences between the three genera Ebolavirus, Cuevavirus and Marburgvirus within the family Filoviridae. Whereas all ebolavirus genomes are quite similar (multiple sequences of the same strain are often identical), variation is most common in the intergenic regions and within specific areas of the genes encoding the glycoprotein (GP), nucleoprotein (NP) and polymerase (L). We predict regions that could contain epitope-binding sites, which might be good vaccine targets. This information, combined with glycosylation sites and experimentally determined epitopes, can identify the most promising regions for the development of therapeutic strategies.This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

摘要

2014年西非埃博拉疫情是有记录以来该病毒引发的最大规模疫情。为研究该病毒基因组的动态变化,我们将100多个目前可得的埃博拉病毒基因组相互之间以及与其他病毒基因组进行了比较。基于寡聚物频率分析,丝状病毒科与所有其他已测序的病毒基因组形成一个独特的群体。尽管丝状病毒科内的埃博拉病毒属、库埃病毒属和马尔堡病毒属这三个属之间的序列存在相当大的差异,但迄今为止测序的所有丝状病毒基因组都编码功能相似且基因顺序相同的蛋白质。所有埃博拉病毒基因组都非常相似(同一毒株的多个序列往往完全相同),变异最常见于基因间区域以及编码糖蛋白(GP)、核蛋白(NP)和聚合酶(L)的基因的特定区域内。我们预测了可能包含表位结合位点的区域,这些区域可能是理想的疫苗靶点。这些信息,再结合糖基化位点和实验确定的表位,能够确定治疗策略开发中最有前景的区域。

本手稿由UT - 巴特尔有限责任公司根据与美国能源部签订的合同号为DE - AC05 - 00OR22725的合同撰写。美国政府保留权利,出版商在接受本文发表时,承认美国政府保留以非排他性、已付费、不可撤销、全球范围内的许可来出版或复制本手稿的已发表形式,或允许他人为美国政府目的这样做的权利。能源部将根据能源部公共访问计划(http://energy.gov/downloads/doe - public - access - plan)提供对这些联邦资助研究结果的公共访问。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/04f6/4551310/25e00e3064a3/fuv031fig1g.jpg

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