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Title: Bioinformatics of codon usage pattern in pathogenic proteobacteria Burkholderia mallei
Other Titles: NBU Journal of Plant Sciences, Vol.4, (March 2010) p 65-71
Authors: Ghosh, Manash K
Bothra, Asim K
Sen, Arnab
Keywords: Burkholderia mallei
Codon bias
Correspondence analysis
Issue Date: Mar-2010
Publisher: University of North Bengal
Abstract: Burkholderia mallei are pathogenic gram negative ß Proteobacteria those are available in Africa, Asia, Middle East, Central and South America and abundantly known as the causal organism of glanders. In this study, the synonymous patterns of four Burkholderia mallei (Burkholderia mallei ATCC 23344, Burkholderia mallei NCTC 10229, Burkholderia mallei NCTC 10247, Burkholderia mallei SAVP1) genome were compared and analyzed to each other. It was observed that Burkholderia mallei have high G+C content and moderately biased. Using cogon adaptation index (CAI) as a numerical estimator of gene expression level where ribosomal protein coding genes were considered as a reference of highly expressed genes. Here, we also studied the functional analysis of the PHX genes, gene expression level correspondence analysis and horizontally transferred pathogenicity related genes activity. COGs are also associated with metabolism especially those linked to carbohydrate metabolism and amino acid transport.
ISSN: 0974-6927
Appears in Collections:NBU Journal of Plant Sciences, Vol.4, (March 2010)

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