Long-range periodic patterns in microbial genomes indicate significant multi-scale chromosomal organization.

ABSTRACT: Genome organization can be studied through analysis of chromosome position-dependent patterns in sequence-derived parameters. A comprehensive analysis of such patterns in prokaryotic sequences and genome-scale functional data has yet to be performed. We detected spatial patterns in sequence-derived parameters for 163 chromosomes occurring in 135 bacterial and 16 archaeal organisms using wavelet analysis. Pattern strength was found to correlate with organism-specific features such as genome size, overall GC content, and the occurrence of known motility and chromosomal binding proteins. Given additional functional data for Escherichia coli, we found significant correlations among chromosome position dependent patterns in numerous properties, some of which are consistent with previously exper

SUBMITTER: Allen TE 

PROVIDER: S-EPMC1326223 | biostudies-literature | 2006 Jan

REPOSITORIES: biostudies-literature