Table of Contents Author Guidelines Submit a Manuscript
Advances in Bioinformatics
Volume 2009, Article ID 316936, 11 pages
http://dx.doi.org/10.1155/2009/316936
Research Article

Synonymous Codon Usage Analysis of Thirty Two Mycobacteriophage Genomes

Tuberculosis Research Centre Indian Council of Medical Research, Chennai 600 031, India

Received 30 July 2009; Accepted 27 October 2009

Academic Editor: Huixiao Hong

Copyright © 2009 Sameer Hassan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.