Dataset Information

Organization and transcriptional regulation of the Escherichia coli K-12 D-serine tolerance locus.

ABSTRACT: We have reinvestigated the genetic organization and the transcription regulation of the dsd operon of Escherichia coli. By combining genetic and biochemical studies, it is demonstrated that the regulatory region of the operon and the gene encoding the specific regulator of D-serine tolerance (dsdC) had been misplaced in previous work on the dsd system. Also, the previous erroneous DNA sequence of the dsdC gene has been corrected. It turned out that an additional gene (dsdX) is present immediately upstream of dsdA (encoding D-serine deaminase) and that dsdC is located adjacent to dsdX. The dsdXA genes are cotranscribed from a common promoter region present in the dsdX-dsdC intercistronic region. The DsdC activator belongs to the LysR-type of transcriptional regulators and is absolutely required for dsdA expression. Additionally, the activity of the dsdXA promoter depends on the cyclic AMP receptor protein, and the two activators act in concert to synergistically activate transcription.

SUBMITTER: Norregaard-Madsen M

PROVIDER: S-EPMC177495 | biostudies-other | 1995 Nov

REPOSITORIES: biostudies-other

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Organization and transcriptional regulation of the Escherichia coli K-12 D-serine tolerance locus.

Nørregaard-Madsen M M McFall E E Valentin-Hansen P P

Journal of bacteriology 19951101 22

We have reinvestigated the genetic organization and the transcription regulation of the dsd operon of Escherichia coli. By combining genetic and biochemical studies, it is demonstrated that the regulatory region of the operon and the gene encoding the specific regulator of D-serine tolerance (dsdC) had been misplaced in previous work on the dsd system. Also, the previous erroneous DNA sequence of the dsdC gene has been corrected. It turned out that an additional gene (dsdX) is present immediatel ...[more]

PMID: 7592420

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Project description:Genomics has set the basis for a variety of methodologies that produce high-throughput datasets identifying the different players that define gene regulation, particularly regulation of transcription initiation and operon organization. These datasets are available in public repositories, such as the Gene Expression Omnibus, or ArrayExpress. However, accessing and navigating such a wealth of data is not straightforward. No resource currently exists that offers all available high and low-throughput data on transcriptional regulation in Escherichia coli K-12 to easily use both as whole datasets, or as individual interactions and regulatory elements. RegulonDB (https://regulondb.ccg.unam.mx) began gathering high-throughput dataset collections in 2009, starting with transcription start sites, then adding ChIP-seq and gSELEX in 2012, with up to 99 different experimental high-throughput datasets available in 2019. In this paper we present a radical upgrade to more than 2000 high-throughput datasets, processed to facilitate their comparison, introducing up-to-date collections of transcription termination sites, transcription units, as well as transcription factor binding interactions derived from ChIP-seq, ChIP-exo, gSELEX and DAP-seq experiments, besides expression profiles derived from RNA-seq experiments. For ChIP-seq experiments we offer both the data as presented by the authors, as well as data uniformly processed in-house, enhancing their comparability, as well as the traceability of the methods and reproducibility of the results. Furthermore, we have expanded the tools available for browsing and visualization across and within datasets. We include comparisons against previously existing knowledge in RegulonDB from classic experiments, a nucleotide-resolution genome viewer, and an interface that enables users to browse datasets by querying their metadata. A particular effort was made to automatically extract detailed experimental growth conditions by implementing an assisted curation strategy applying Natural language processing and machine learning. We provide summaries with the total number of interactions found in each experiment, as well as tools to identify common results among different experiments. This is a long-awaited resource to make use of such wealth of knowledge and advance our understanding of the biology of the model bacterium E. coli K-12.

Dataset Information

Organization and transcriptional regulation of the Escherichia coli K-12 D-serine tolerance locus.

Publications

Organization and transcriptional regulation of the Escherichia coli K-12 D-serine tolerance locus.

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