乳头瘤病毒E6、E7和L1基因在宿主中的密码子使用模式

IF 2.6 3区 生物学 Q3 MICROBIOLOGY
Xudong Liu, Kexin Li, Xiaojing Chen, Yaqian Li, Tianshu Sun, Roujie Huang, Yanan Shi, Zilong He, Lei Li
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引用次数: 0

摘要

本研究探讨了不同宿主中乳头瘤病毒的密码子使用偏好,并探讨了关键基因(L1、E6和E7)的进化关系。从PaVE数据库中检索了86株乳头瘤病毒株的全基因组序列。使用MAFFT和ITOL构建系统发育树,使用CodonW计算密码子使用指数,包括RSCU、ENC、CAI和GC3。通过encc - gc3、中性和pr2偏倚分析来探讨影响密码子使用模式的因素。分析的基因组被分为五组(Clade1, Clade2, Clade3, Clade4和其他),显示CAI和ENC值的变化。系统发育分析显示了三个不同的基因簇。c - gc3、中性和pr2偏性分析表明,自然选择和突变压力都会影响密码子的使用。这些发现表明,L1、E6和E7基因的密码子使用偏好和进化动力学在不同宿主之间存在差异,这是由选择和突变力量共同驱动的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Codon Usage Pattern of Papillomavirus E6, E7, and L1 Genes Across Hosts.

This study investigates the codon usage preferences of papillomaviruses across different hosts and examines the evolutionary relationships of key genes (L1, E6, and E7). Complete genome sequences of 86 papillomavirus strains were retrieved from the PaVE database. Phylogenetic trees were constructed using MAFFT and ITOL, and codon usage indices, including RSCU, ENC, CAI, and GC3, were calculated using CodonW. ENC-GC3, Neutrality, and PR2-bias analyses were conducted to explore the factors shaping codon usage patterns. The analyzed genomes were categorized into five groups (Clade1, Clade2, Clade3, Clade4, and Others), exhibiting variations in CAI and ENC values. Phylogenetic analysis revealed three distinct gene clusters. ENC-GC3, Neutrality, and PR2-bias analyses demonstrated that both natural selection and mutation pressure influence codon usage. These findings suggest that codon usage preferences and the evolutionary dynamics of L1, E6, and E7 genes differ across hosts, driven by a combination of selection and mutational forces.

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来源期刊
Current Microbiology
Current Microbiology 生物-微生物学
CiteScore
4.80
自引率
3.80%
发文量
380
审稿时长
2.5 months
期刊介绍: Current Microbiology is a well-established journal that publishes articles in all aspects of microbial cells and the interactions between the microorganisms, their hosts and the environment. Current Microbiology publishes original research articles, short communications, reviews and letters to the editor, spanning the following areas: physiology, biochemistry, genetics, genomics, biotechnology, ecology, evolution, morphology, taxonomy, diagnostic methods, medical and clinical microbiology and immunology as applied to microorganisms.
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