Key Laboratory of Fujian-Taiwan Animal Pathogen Biology, College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Key Laboratory of Fujian-Taiwan Animal Pathogen Biology, College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China; College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Microb Pathog. 2017 Nov;112:313-319. doi: 10.1016/j.micpath.2017.09.040. Epub 2017 Sep 22.
Senecavirus A (SVA) infection was recently confirmed in pigs in Brazil, United States of America and Canada. To better understand the molecular characteristics of isolated SVA genomes, we first reported genome-wide comprehensive analyses of codon usage and various factors that have contribute to the molecular evolution in SVA. The effective number of codons (ENC) ranged from 54.51 to 55.54 with an average of 54.87 ± 0.285, which reveals a relatively stable nucleotide composition. We found that codon usage bias of the SVA was low. Mutational pressure acted as an increasingly dominant factor for the evolution of the virus compared with the natural selection. Notably, codon usage bias was also affected by the geographic distribution and isolated time. The first systemic analysis on the codon usage bias of the SVA provides important information for the understanding of the evolution of the SVA and has fundamental and theoretical benefits.
最近在巴西、美国和加拿大的猪中确认了塞内卡病毒 A（SVA）感染。为了更好地了解分离的 SVA 基因组的分子特征，我们首次报道了对 SVA 密码子使用和各种有助于分子进化的因素的全基因组综合分析。有效密码子数（ENC）范围从 54.51 到 55.54，平均值为 54.87 ± 0.285，这表明核苷酸组成相对稳定。我们发现 SVA 的密码子使用偏向性较低。与自然选择相比，突变压力对病毒进化的作用越来越大。值得注意的是，密码子使用偏向性也受到地理分布和分离时间的影响。对 SVA 密码子使用偏向性的首次系统分析为理解 SVA 的进化提供了重要信息，具有基础和理论上的好处。
