title: System analysis of synonymous codon usage biases in archaeal virus genomes.
abstract: Recent studies of geothermally heated aquatic ecosystems have found widely divergent viruses with unusual morphotypes. Archaeal viruses isolated from these hot habitats usually have double-stranded DNA genomes, linear or circular, and can infect members of the Archaea domain. In this study, the synonymous codon usage bias (SCUB) and dinucleotide composition in the available complete archaeal virus genome sequences have been investigated. It was found that there is a significant variation in SCUB among different Archaeal virus species, which is mainly determined by the base composition. The outcome of correspondence analysis (COA) and Spearman׳s rank correlation analysis shows that codon usage of selected archaeal virus genes depends mainly on GC richness of genome, and the gene׳s function, albeit with smaller effects, also contributes to codon usage in this virus. Furthermore, this investigation reveals that aromaticity of each protein is also critical in affecting SCUB of these viral genes although it was less important than that of the mutational bias. Especially, mutational pressure may influence SCUB in SIRV1, SIRV2, ARV1, AFV1, and PhiCh1 viruses, whereas translational selection could play a leading role in HRPV1׳s SCUB. These conclusions not only can offer an insight into the codon usage biases of archaeal virus and subsequently the possible relationship between archaeal viruses and their host, but also may help in understanding the evolution of archaeal viruses and their gene classification, and more helpful to explore the origin of life and the evolution of biology.
authors.affiliation: State Key Laboratory of Pharmaceutical Biotechnology, School of Life Science, Nanjing University, Nanjing 210093, China.
authors.forename: Sen
authors.initials: S
authors.lastname: Li
authors.affiliation: State Key Laboratory of Pharmaceutical Biotechnology, School of Life Science, Nanjing University, Nanjing 210093, China. Electronic address: luckyjyj@sina.com.cn.
authors.forename: Jie
authors.initials: J
authors.lastname: Yang
mesh_terms: D023641:Archaeal Viruses / Q000235:genetics* / Q000378:metabolism; D003062:Codon / Q000235:genetics* / Q000378:metabolism; D004279:DNA, Viral / Q000235:genetics / Q000378:metabolism; D019143:Evolution, Molecular; D016679:Genome, Viral / Q000502:physiology*; D014176:Protein Biosynthesis / Q000502:physiology*; D017422:Sequence Analysis, DNA / Q000379:methods; D014764:Viral Proteins / Q000096:biosynthesis / Q000235:genetics*
chemical_list: D003062:Codon; D004279:DNA, Viral; D014764:Viral Proteins
keywords: Evolution; Gene function; Hierarchical cluster analysis; Mutational bias