Transcriptional Repressor CcpN from Bacillus subtilis Compensates Asymmetric Contact Distribution by Cooperative Binding.
Carbon catabolite repression in Bacillus subtilis is carried out mainly by the major regulator CcpA. In contrast, sugar-dependent repression of three genes, sr1 encoding a small untranslated RNA, and two genes, gapB and pckA, coding for gluconeogenic enzymes is mediated by the recently identified transcriptional repressor CcpN. Since previous DNase I footprinting yielded only basic information on the operator sequences of CcpN, chemical interference footprinting studies were performed for a precise contact mapping. Methylation interference, potassium permanganate and hydroxylamine footprinting were used to identify all contacted residues in both strands in the three operator sequences. Furthermore, ethylation interference experiments were performed to identify phosphate residues essential for CcpN binding. Here, we show that each operator has two binding sites for CcpN, one of which was always contacted more strongly than the other. The three sites that exhibited close contacts were very similar in sequence, with only a few slight variations, whereas the other three corresponding sites showed several deviations. Gel retardation assays with purified CcpN demonstrated that the differences in contact number and strength correlated well with significantly different K(D) values for the corresponding single binding sites. However, quantitative DNase I footprinting of whole operator sequences revealed cooperative binding of CcpN that, apparently, compensated the asymmetric contact distribution. Based on these data, possible consequences for the repression mechanism of CcpN are discussed.[1]References
- Transcriptional Repressor CcpN from Bacillus subtilis Compensates Asymmetric Contact Distribution by Cooperative Binding. Licht, A., Brantl, S. J. Mol. Biol. (2006) [Pubmed]
Annotations and hyperlinks in this abstract are from individual authors of WikiGenes or automatically generated by the WikiGenes Data Mining Engine. The abstract is from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.About WikiGenesOpen Access LicencePrivacy PolicyTerms of Useapsburg
