GC2 Biology Dictates Gene Expressivity in Camellia sinensis
Department of Biotechnology, Assam University, Silchar-788011, Assam, India
Computational Molecular Biology, 2014, Vol. 4, No. 2 doi: 10.5376/cmb.2014.04.0002
Received: 27 Dec., 2013 Accepted: 15 Jan., 2014 Published: 27 Feb., 2014
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Preferred citation for this article:
Chakraborty and Paul, 2014, GC2 Biology Dictates Gene Expressivity in Camellia sinensis, Computational Molecular Biology, Vol.4, No.2 18-25 (doi: 10.5376/cmb.2014.04.0002)
The effectiveness of the gene expression is influenced by the nature of codons used throughout the gene. This is due to the fact that most genes and organisms do not use synonymous codons uniformly; certain synonymous codons are used preferentially, a phenomenon called codon usage bias (CUB). Based on the hypothesis that highly expressed genes are often characterized by strong compositional bias in terms of codon usage, there are a number of measures currently in use that quantify codon usage bias in genes, and hence provide numerical indices to predict the expression level of genes. We analyzed normalized AT and GC frequency at each codon site. We observed that correlations between gene expression as measured by CAI and GC content at any codon site are very weak. GC2s showed moderate positive correlation with gene expression. We also measured the correlations between CAI and AT content at three codon sites. AT2s showed moderate negative correlation with gene expression. We further observed a strong correlation between RCBS and protein length indicating natural selection operating in favor of shorter genes to be expressed at higher level. Our analysis revealed that the second position of synonymous codons in Camellia sinensis plays a more prominent role than the third position in determining gene expressivity as evident from CUB and correlation analysis on ten genes.
Gene expression; Relative codon usage bias (RCBS); Codon adaptation index (CAI); Codon usage bias (CUB)
Computational Molecular Biology
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