Bioinformatic identification of novel regulatory DNA sequence motifs in Streptomyces coelicolor.

ABSTRACT:

Background

Streptomyces coelicolor is a bacterium with a vast repertoire of metabolic functions and complex systems of cellular development. Its genome sequence is rich in genes that encode regulatory proteins to control these processes in response to its changing environment. We wished to apply a recently published bioinformatic method for identifying novel regulatory sequence signals to gain new insights into regulation in S. coelicolor.

Results

The method involved production of position-specific weight matrices from alignments of over-represented words of DNA sequence. We generated 2497 weight matrices, each representing a candidate regulatory DNA sequence motif. We scanned the genome sequence of S. coelicolor against each of these matrices. A DNA sequence motif represent

SUBMITTER: Studholme DJ 

PROVIDER: S-EPMC450296 | biostudies-literature | 2004 Apr

REPOSITORIES: biostudies-literature