Synonymous Codon Usage Analysis of Thirty Two Mycobacteriophage Genomes. (13th December 2009)

• Record Type: Journal Article
• Authors: Hassan, Sameer; Mahalingam, Vasantha; Kumar, Vanaja
• Other Names: Hong Huixiao Academic Editor.
• Is Part Of: Advances in bioinformatics. Volume 2009(2009)
• Publication Date: 2009-12-13
• Subjects: Bioinformatics -- Periodicals; Bioinformatics; Computational Biology -- Periodicals; Periodicals; 570.285
• DOI: 10.1155/2009/316936
• Languages: English
• ISSNs: 1687-8027

Abstract

Abstract : Synonymous codon usage of protein coding genes of thirty two completely sequenced mycobacteriophage genomes was studied using multivariate statistical analysis. One of the major factors influencing codon usage is identified to be compositional bias. Codons ending with either C or G are preferred in highly expressed genes among which C ending codons are highly preferred over G ending codons. A strong negative correlation between effective number of codons (Nc) and GC3s content was also observed, showing that the codon usage was effected by gene nucleotide composition. Translational selection is also identified to play a role in shaping the codon usage operative at the level of translational accuracy. High level of heterogeneity is seen among and between the genomes. Length of genes is also identified to influence the codon usage in 11 out of 32 phage genomes. Mycobacteriophage Cooper is identified to be the highly biased genome with better translation efficiency comparing well with the host specific tRNA genes.