College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China.
Infect Genet Evol. 2023 Sep;113:105488. doi: 10.1016/j.meegid.2023.105488. Epub 2023 Aug 7.
Over the past 20 years, the Seneca Valley virus (SVV) has emerged in various countries and regions around the world. Infected pigs display symptoms similar to foot-and-mouth disease and other vesicular diseases, causing severe economic losses to affected countries. In recent years, the number of SVV infections has been increasing in Brazil, China, and the United States. In this study, we comprehensively analyzed SVV genomic sequence data from the perspectives of evolutionary dynamics, phylogeography, and codon usage bias. We aimed to gain further insights into SVV's genetic diversity, spatiotemporal distribution patterns, and evolutionary adaptations. Phylogenetic analysis revealed that SVV has evolved into eight distinct lineages. Based on the results of phylogeographic analysis, it is speculated that the United States might have been the source of SVV, from where it subsequently spread to different countries and regions. Moreover, our analysis of positive selection sites in SVV capsid proteins suggests their potential importance in the process of receptor recognition. Finally, codon preference analysis indicates that natural selection has been a primary evolutionary driver influencing SVV codon usage bias. In conclusion, our in-depth investigation into SVV's origin, dissemination, evolution, and adaptation emphasizes the significance of SVV surveillance and control measures.
在过去的 20 年中,森纳伯里病毒(SVV)在世界上许多国家和地区相继出现。受感染的猪只表现出口蹄疫和其他水疱病类似的症状,给受影响的国家造成了严重的经济损失。近年来,SVV 在巴西、中国和美国的感染病例不断增加。在本研究中,我们从进化动态、系统地理学和密码子使用偏性等角度综合分析了 SVV 的基因组序列数据。旨在进一步了解 SVV 的遗传多样性、时空分布模式和进化适应。系统发育分析表明,SVV 已经进化为八个不同的谱系。基于系统地理学分析的结果,推测美国可能是 SVV 的起源地,此后它传播到不同的国家和地区。此外,我们对 SVV 衣壳蛋白中阳性选择位点的分析表明,这些位点在受体识别过程中可能具有重要作用。最后,密码子偏好分析表明,自然选择是影响 SVV 密码子使用偏性的主要进化驱动力。总之,我们对 SVV 的起源、传播、进化和适应的深入研究强调了对 SVV 进行监测和控制措施的重要性。