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Insight into pattern of codon biasness and nucleotide base usage in serotonin receptor gene family from different mammalian species
Authors:Dass J Febin Prabhu  Sudandiradoss C
Institution:School of Biosciences and Technology, VIT University, Vellore, Tamil Nadu State, India.
Abstract:5-HT (5-Hydroxy-tryptamine) or serotonin receptors are found both in central and peripheral nervous system as well as in non-neuronal tissues. In the animal and human nervous system, serotonin produces various functional effects through a variety of membrane bound receptors. In this study, we focus on 5-HT receptor family from different mammals and examined the factors that account for codon and nucleotide usage variation. A total of 110 homologous coding sequences from 11 different mammalian species were analyzed using relative synonymous codon usage (RSCU), correspondence analysis (COA) and hierarchical cluster analysis together with nucleotide base usage frequency of chemically similar amino acid codons. The mean effective number of codon (ENc) value of 37.06 for 5-HT(6) shows very high codon bias within the family and may be due to high selective translational efficiency. The COA and Spearman's rank correlation reveals that the nucleotide compositional mutation bias as the major factors influencing the codon usage in serotonin receptor genes. The hierarchical cluster analysis suggests that gene function is another dominant factor that affects the codon usage bias, while species is a minor factor. Nucleotide base usage was reported using Goldman, Engelman, Stietz (GES) scale reveals the presence of high uracil (>45%) content at functionally important hydrophobic regions. Our in silico approach will certainly help for further investigations on critical inference on evolution, structure, function and gene expression aspects of 5-HT receptors family which are potential antipsychotic drug targets.
Keywords:5-HT  5-Hydroxy tryptamine  GPCR  G-Protein Coupled Receptor  7-TM  7-Transmembrane  CDS  Coding Sequences  RSCU  Relative Synonymous Codon Usage  COA  Correspondance Analysis  SD  Standard Deviation  ENc  Effective Number of Codons  GES  Goldman Engelman Stietz
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