Proceedings of the Korean Society for Bioinformatics Conference (한국생물정보학회:학술대회논문집)
- 2005.09a
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- Pages.78-82
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- 2005
Clustering and Comparative Analyses of Complete Genomes for the Elucidation of Evolutionary Characteristics
- Kim, Jin-Sik (Department of Chemical and Biomolecular Engineering, KAIST) ;
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Lee, Sang-Yup
(Department of Chemical and Biomolecular Engineering, KAIST, Department of Biosystems, BioProcess Engineering Research Center and Bioinformatics Research Center, KAIST)
- Published : 2005.09.22
Abstract
Three of the genus Pseudomonas (P. aeruginosa, P. putida, P. syringae) show highly different phenotypic characteristics among them. Two of the three members are pathogenic and the other is non-pathogenic. Comparative analyses of the complete genomes can elucidate the genomic similarities and differences among them. We analyzed the three genomes and the genes of them to reveal the degree of conservation of chromosomes and similarity of the genes. The 2-dimensional dot plot between the pathogenic P. aeruginosa and non-pathogenic P. putida shared higher portion of the nucleotide sequences than other two combinations. Comparison of the nucleotide compositions by calculating the genome-scale plot of G+C contents and GC skew showed the variation of location. Comparison of the metabolic capabilities using the functional classification of KEGG orthology revealed that the differences in the number of genes for the specific functional categories resulted in the phenotypic differences. Finally combination of the analyses using the protein homologs supported the evolutionary distance of the P. putida obtained from other genome-scale comparisons.
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