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Bioinformatic identification of novel regulatory DNA sequence motifs in Streptomyces coelicolor

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...

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Autores principales: Studholme, David J, Bentley, Stephen D, Kormanec, Jan
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC450296/
https://www.ncbi.nlm.nih.gov/pubmed/15072583
http://dx.doi.org/10.1186/1471-2180-4-14
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author Studholme, David J
Bentley, Stephen D
Kormanec, Jan
author_facet Studholme, David J
Bentley, Stephen D
Kormanec, Jan
author_sort Studholme, David J
collection PubMed
description 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 represented by one of the matrices was found preferentially in non-coding sequences immediately upstream of genes involved in polysaccharide degradation, including several that encode chitinases. This motif (TGGTCTAGACCA) was also found upstream of genes encoding components of the phosphoenolpyruvate phosphotransfer system (PTS). We hypothesise that this DNA sequence motif represents a regulatory element that is responsive to availability of carbon-sources. Other motifs of potential biological significance were found upstream of genes implicated in secondary metabolism (TTAGGTtAGgCTaACCTAA), sigma factors (TGACN(19)TGAC), DNA replication and repair (ttgtCAGTGN(13)TGGA), nucleotide conversions (CTACgcNCGTAG), and ArsR (TCAGN(12)TCAG). A motif found upstream of genes involved in chromosome replication (TGTCagtgcN(7)Tagg) was similar to a previously described motif found in UV-responsive promoters. CONCLUSIONS: We successfully applied a recently published in silico method to identify conserved sequence motifs in S. coelicolor that may be biologically significant as regulatory elements. Our data are broadly consistent with and further extend data from previously published studies. We invite experimental testing of our hypotheses in vitro and in vivo.
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spelling pubmed-4502962004-07-10 Bioinformatic identification of novel regulatory DNA sequence motifs in Streptomyces coelicolor Studholme, David J Bentley, Stephen D Kormanec, Jan BMC Microbiol Research Article 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 represented by one of the matrices was found preferentially in non-coding sequences immediately upstream of genes involved in polysaccharide degradation, including several that encode chitinases. This motif (TGGTCTAGACCA) was also found upstream of genes encoding components of the phosphoenolpyruvate phosphotransfer system (PTS). We hypothesise that this DNA sequence motif represents a regulatory element that is responsive to availability of carbon-sources. Other motifs of potential biological significance were found upstream of genes implicated in secondary metabolism (TTAGGTtAGgCTaACCTAA), sigma factors (TGACN(19)TGAC), DNA replication and repair (ttgtCAGTGN(13)TGGA), nucleotide conversions (CTACgcNCGTAG), and ArsR (TCAGN(12)TCAG). A motif found upstream of genes involved in chromosome replication (TGTCagtgcN(7)Tagg) was similar to a previously described motif found in UV-responsive promoters. CONCLUSIONS: We successfully applied a recently published in silico method to identify conserved sequence motifs in S. coelicolor that may be biologically significant as regulatory elements. Our data are broadly consistent with and further extend data from previously published studies. We invite experimental testing of our hypotheses in vitro and in vivo. BioMed Central 2004-04-08 /pmc/articles/PMC450296/ /pubmed/15072583 http://dx.doi.org/10.1186/1471-2180-4-14 Text en Copyright © 2004 Studholme et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Research Article
Studholme, David J
Bentley, Stephen D
Kormanec, Jan
Bioinformatic identification of novel regulatory DNA sequence motifs in Streptomyces coelicolor
title Bioinformatic identification of novel regulatory DNA sequence motifs in Streptomyces coelicolor
title_full Bioinformatic identification of novel regulatory DNA sequence motifs in Streptomyces coelicolor
title_fullStr Bioinformatic identification of novel regulatory DNA sequence motifs in Streptomyces coelicolor
title_full_unstemmed Bioinformatic identification of novel regulatory DNA sequence motifs in Streptomyces coelicolor
title_short Bioinformatic identification of novel regulatory DNA sequence motifs in Streptomyces coelicolor
title_sort bioinformatic identification of novel regulatory dna sequence motifs in streptomyces coelicolor
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC450296/
https://www.ncbi.nlm.nih.gov/pubmed/15072583
http://dx.doi.org/10.1186/1471-2180-4-14
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