Application of MCMC-Based Bayesian Modeling for Genetic Evolutionary and Dynamic Change Analysis of Zika Virus

基于MCMC的贝叶斯模型在寨卡病毒遗传进化和动态变化分析中的应用

阅读:1

Abstract

Zika virus was first discovered in 1947. For a long time afterward, no large-scale outbreaks occurred. However, more recently, in 2007 and 2016, there were two episodes of ZIKV outbreak that have produced serious public health problems. By analyzing the evolution of the viral genome, we can understand the potential for its outbreak. In this study, we constructed a maximum clade credibility (MCC) tree for the ZIKV non-structural protein 5 (NS5) gene using the Bayesian method. A total of 108 whole-NS5 sequences were retrieved from the GeneBank. We carried out an analysis of potential glycosylation and phosphorylation sites of the ZIKV virus NS5 gene and dynamic analysis of the evolutionary characteristics of the gene. Phylogenetic analysis revealed the presence of two sequence lineages: African and Asian. The sequence of the strains obtained from GeneBank has high homology of 85% to 100%. There are 35 potential phosphorylation sites and glycosylation sites in the ZIKV-NS5 sequences. This article analyzes the possible causes of ZIKV virus outbreaks from the perspective of genetic evolution and analyzes the dynamic trends of virus outbreaks to provide a theoretical basis for predicting the outbreak of the virus.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。