Ebolavirus Classification Based on Natural Vectors

Ebolavirus Classification Based on Natural Vectors
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基于自然载体的埃博拉病毒分类

DOI:
10.1089/dna.2014.2678
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发表时间:
2015-06-01
影响因子:
3.1
通讯作者:
Yau, Stephen S. -T.
Yau, Stephen S. -T.
中科院分区:
生物学4区
文献类型:
--
作者:
Zheng, Hui;Yin, Changchuan;Yau, Stephen S. -T.

文献摘要

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据世界卫生组织称,截至2015年1月,埃博拉病毒已导致西非8818人死亡。为了更好地了解埃博拉病毒的进化关系并从这种关系推断毒力,我们应用免比对自然载体方法对最新的埃博拉病毒进行分类。该数据集包括三种新的几内亚病毒以及来自塞拉利昂的 99 种病毒。对于丝状病毒科的病毒,属标签分类和种标签分类的准确率均达到100%。我们通过算术平均的未加权配对组法(UPGMA)系统发育树来表示丝状病毒科病毒之间的关系,发现丝状病毒可以很好地分为三个属。我们通过编码完整基因组和七个病毒蛋白基因(糖蛋白[GP]、核蛋白[NP]、VP24、VP30、VP35、VP40和RNA聚合酶[L])对不同物种埃博拉病毒之间的关系进行了系统发育分析。病毒蛋白 VP24 的系统发育树拓扑结构与埃博拉病毒毒力的变化一致。结果表明 VP24 是治疗或预防埃博拉病毒的药物靶点。
According to the WHO, ebolaviruses have resulted in 8818 human deaths in West Africa as of January 2015. To better understand the evolutionary relationship of the ebolaviruses and infer virulence from the relationship, we applied the alignment-free natural vector method to classify the newest ebolaviruses. The dataset includes three new Guinea viruses as well as 99 viruses from Sierra Leone. For the viruses of the family of Filoviridae, both genus label classification and species label classification achieve an accuracy rate of 100%. We represented the relationships among Filoviridae viruses by Unweighted Pair Group Method with Arithmetic Mean (UPGMA) phylogenetic trees and found that the filoviruses can be separated well by three genera. We performed the phylogenetic analysis on the relationship among different species of Ebolavirus by their coding-complete genomes and seven viral protein genes (glycoprotein [GP], nucleoprotein [NP], VP24, VP30, VP35, VP40, and RNA polymerase [L]). The topology of the phylogenetic tree by the viral protein VP24 shows consistency with the variations of virulence of ebolaviruses. The result suggests that VP24 be a pharmaceutical target for treating or preventing ebolaviruses.