Bayesian Phylodynamic Analysis Reveals the Dispersal Patterns of African Swine Fever Virus

文献类型： 外文期刊

第一作者： Shen, Zhao-Ji

作者： Shen, Zhao-Ji;Jia, Hong;Xie, Chun-Di;Shagainar, Jurmt;Zhou, Rong;Shen, Zhao-Ji;Feng, Zheng;Zhang, Xiaodong;Li, Kui

作者机构：

关键词： ASFV; dispersal; evolution; phylogeographic patterns

期刊名称：VIRUSES-BASEL （ 影响因子：5.818； 五年影响因子：5.811 ）

ISSN：

年卷期： 2022 年 14 卷 5 期

页码：

收录情况： SCI

摘要： The evolutionary and demographic history of African swine fever virus (ASFV) is potentially quite valuable for developing efficient and sustainable management strategies. In this study, we performed phylogenetic, phylodynamic, and phylogeographic analyses of worldwide ASFV based on complete ASFV genomes, B646L gene, and E183L gene sequences obtained from NCBI to understand the epidemiology of ASFV. Bayesian phylodynamic analysis and phylogenetic analysis showed highly similar results of group clustering between E183L and the complete genome. The evidence of migration and the demographic history of ASFV were also revealed by the Bayesian phylodynamic analysis. The evolutionary rate was estimated to be 1.14 x 10(-5) substitution/site/year. The large out-migration from the viral population in South Africa played a crucial role in spreading the virus worldwide. Our study not only provides resources for the better utilization of genomic data but also reveals the comprehensive worldwide evolutionary history of ASFV with a broad sampling window across similar to 70 years. The characteristics of the virus spatiotemporal transmission are also elucidated, which could be of great importance for devising strategies to control the virus.

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