title: Role of mutational bias and natural selection on genome-wide nucleotide bias in prokaryotic organisms.
abstract: Correlations between genomic GC contents and amino acid frequencies were studied in the homologous sequences of 12 eubacterial genomes. Results show that amino acids encoded by GC-rich codons increases significantly with genomic GC contents, whereas opposite trend was observed in case of amino acids encoded by GC-poor codons. Further studies show all the amino acids do not change in the predicted direction according to their genomic GC pressure, suggesting that protein evolution is not entirely dictated by their nucleotide frequencies. Amino acid substitution matrix calculated among hydrophobic, amphipathic and hydrophilic amino acid groups' shows that amphipathic and hydrophilic amino acids are more frequently substituted by hydrophobic amino acids than from hydrophobic to hydrophilic or amphipathic amino acids. This indicates that nucleotide bias induces a directional changes in proteome composition in such a way that underwent strong changes in hydropathy values. In fact, significant increases in hydrophobicity values have also been observed with the increase of genomic GC contents. Correlations between GC contents and amino acid compositions in three different predicted protein secondary structures show that hydropathy values increases significantly with GC contents in aperiodic and helix structures whereas strand structure remains insensitive with the genomic GC levels. The relative importance of mutation and selection on the evolution of proteins have been discussed on the basis of these results.
authors.affiliation: Bioinformatics Centre, Bose Institute, P 1/12, C.I.T. Scheme VII M, Kolkata 700 054, India.
authors.forename: T
authors.initials: T
authors.lastname: Banerjee
authors.forename: S K
authors.initials: SK
authors.lastname: Gupta
authors.forename: T C
authors.initials: TC
authors.lastname: Ghosh
mesh_terms: D000596:Amino Acids / Q000737:chemistry; D001419:Bacteria / Q000235:genetics*; D001482:Base Composition; D019295:Computational Biology / Q000379:methods*; D004252:DNA Mutational Analysis; D030541:Databases, Genetic; D004926:Escherichia coli / Q000235:genetics; D019143:Evolution, Molecular; D005787:Gene Frequency; D016680:Genome, Bacterial; D008957:Models, Genetic; D009169:Mycobacterium tuberculosis / Q000235:genetics; D009690:Nucleic Acid Conformation; D017433:Protein Structure, Secondary; D049490:Systems Biology
chemical_list: D000596:Amino Acids