title: Complex codon usage pattern and compositional features of retroviruses.
abstract: Retroviruses infect a wide range of organisms including humans. Among them, HIV-1, which causes AIDS, has now become a major threat for world health. Some of these viruses are also potential gene transfer vectors. In this study, the patterns of synonymous codon usage in retroviruses have been studied through multivariate statistical methods on ORFs sequences from the available 56 retroviruses. The principal determinant for evolution of the codon usage pattern in retroviruses seemed to be the compositional constraints, while selection for translation of the viral genes plays a secondary role. This was further supported by multivariate analysis on relative synonymous codon usage. Thus, it seems that mutational bias might have dominated role over translational selection in shaping the codon usage of retroviruses. Codon adaptation index was used to identify translationally optimal codons among genes from retroviruses. The comparative analysis of the preferred and optimal codons among different retroviral groups revealed that four codons GAA, AAA, AGA, and GGA were significantly more frequent in most of the retroviral genes inspite of some differences. Cluster analysis also revealed that phylogenetically related groups of retroviruses have probably evolved their codon usage in a concerted manner under the influence of their nucleotide composition.
authors.affiliation: School of Information Technology, Bengal Engineering and Science University, Shibpur, Howrah, West Bengal 711103, India ; School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur-721302, India.
authors.forename: Sourav
authors.initials: S
authors.lastname: RoyChoudhury
authors.forename: Debaprasad
authors.initials: D
authors.lastname: Mukherjee
mesh_terms: D000818:Animals; D003062:Codon; D030541:Databases, Genetic / Q000706:statistics & numerical data; D019143:Evolution, Molecular; D016679:Genome, Viral; D015497:HIV-1 / Q000235:genetics; D006801:Humans; D008957:Models, Genetic; D015999:Multivariate Analysis; D009154:Mutation; D016366:Open Reading Frames; D012190:Retroviridae / Q000235:genetics*
chemical_list: D003062:Codon