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Current Bioinformatics
ISSN (Print): 1574-8936
ISSN (Online): 2212-392X
VOLUME: 9
ISSUE: 2
DOI: 10.2174/1574893608999140109114247      Price:  $58









Analyzing Gene Expression and Codon Usage Bias in Diverse Genomes Using a Variety of Models

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Author(s): Satyabrata Sahoo and Shibsankar Das
Pages 102-112 (11)
Abstract:
Synonymous codon usage has long been known as a factor that affects the average expression level of proteins in microorganisms. A systematic approach to study the role of codon usage bias underlying gene expression has been described. Facts and ideas presented in this short review are to derive biological information from genome sequences by means of various statistical analyses and appropriate design of algorithms. Using codon usage bias as a numerical estimator of gene expression, a comparative analysis of predicted highly expressed (PHE) genes was performed in bacteria, cyanobacteria, archaea, lower eukaryotes and higher eukaryotes. Here, it is suggested that both codon usage and as well as base compositions at three codon sites regulate the individual gene expression. Any correlation between gene length and expression level, however, remains unexplained. Relationship between gene expression levels and synonymous codon usage provides an important line of evidence for translational selection and suggests some general mechanism underlying protein evolution.
Keywords:
Archaea, bacteria, codon usage, eukaryotes, GC content, gene expression, highly expressed genes predicted.
Affiliation:
Department of Physics, Raidighi College, Raidighi, South 24 Parganas, West Bengal, India.