Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China.
Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China.
Infect Genet Evol. 2020 Oct;84:104379. doi: 10.1016/j.meegid.2020.104379. Epub 2020 Jun 1.
The Ranavirus (one genus of Iridovidae family) is an emerging pathogen that infects fish, amphibian, and reptiles, and causes great economical loss and ecological threat to farmed and wild animals globally. The major capsid protein (MCP) has been used as genetic typing marker and as target to design vaccines. Herein, the codon usage pattern of 73 MCP genes of Ranavirus and Lymphocystivirus are studied by calculating effective number of codons (ENC), relative synonymous codon usage (RSCU), codon adaptation index (CAI), and relative codon deoptimization index (RCDI), and similarity index (SiD). The Ranavirus are confirmed to be classified into five groups by using phylogenetic analysis, and varied nucleotide compositions and hierarchical cluster analysis based on RSCU. The results revealed different codon usage patterns among Lymphocystivirus and five groups of Ranavirus. Ranavirus had six over-represented codons ended with G/C nucleotide, while Lymphocystivirus had six over-represented codons ended with A/T nucleotide. A comparative analysis of parameters that define virus and host relatedness in terms of codon usage were analyzed indicated that Amphibian-like ranaviruses (ALRVs) seem to possess lower ENC values and higher CAIs in contrast to other ranaviruses isolated from fishes, and two groups (FV3-like and CMTV-like group) of them had received higher selection pressure from their hosts as having higher relative codon deoptimization index (RCDI) and similarity index (SiD). The correspondence analysis (COA) and Spearman's rank correlation analyses revealed that nucleotide compositions, relative dinucleotide frequency, mutation pressure, and natural translational selection shape the codon usage pattern in MCP genes and the ENC-GC and neutrality plots indicated that the natural selection is the predominant factor. These results contribute to understanding the evolution of Ranavirus and their adaptions to their hosts.
虹彩病毒(虹彩病毒科的一个属)是一种新兴的病原体,可感染鱼类、两栖类和爬行动物,对全球养殖和野生动物造成巨大的经济损失和生态威胁。主要衣壳蛋白(MCP)已被用作遗传分型标记物和疫苗设计的靶标。在此,通过计算有效密码子数(ENC)、相对同义密码子使用度(RSCU)、密码子适应指数(CAI)和相对密码子去优化指数(RCDI)以及相似性指数(SiD),研究了虹彩病毒和淋巴囊肿病毒 73 个 MCP 基因的密码子使用模式。通过系统发育分析证实,虹彩病毒可分为 5 组,并且基于 RSCU 的核苷酸组成和层次聚类分析存在差异。结果表明,淋巴囊肿病毒和 5 组虹彩病毒之间存在不同的密码子使用模式。虹彩病毒有 6 个以 G/C 核苷酸结尾的超表达密码子,而淋巴囊肿病毒有 6 个以 A/T 核苷酸结尾的超表达密码子。根据密码子使用情况,对定义病毒和宿主相关性的参数进行了比较分析,结果表明,与从鱼类分离的其他虹彩病毒相比,两栖类虹彩病毒(ALRVs)似乎具有较低的 ENC 值和较高的 CAI,其中两组(FV3 样和 CMTV 样组)受到宿主更高的选择压力,具有更高的相对密码子去优化指数(RCDI)和相似性指数(SiD)。对应分析(COA)和 Spearman 秩相关分析表明,核苷酸组成、相对二核苷酸频率、突变压力和自然翻译选择塑造了 MCP 基因的密码子使用模式,ENC-GC 和中性图表明自然选择是主要因素。这些结果有助于了解虹彩病毒的进化及其对宿主的适应。