ArticleNucleic acids research2008
The cis-regulatory map of Shewanella genomes.
Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Regulation of Gene Expression in Shewanella oneidensis MR-1 during Electron Acceptor Limitation and Bacterial Nanowire Formation.Applied and environmental microbiology · 2016Article
- UpCoT: an integrated pipeline tool for clustering upstream DNA sequences of orthologous genes in prokaryotic genomes.3 Biotech · 2016Article
- Adaptation to environmental factors shapes the organization of regulatory regions in microbial communities.BMC genomics · 2014Article
- Comparative genomics and evolution of regulons of the LacI-family transcription factors.Frontiers in microbiology · 2014Article
- Genomic reconstruction of the transcriptional regulatory network in Bacillus subtilis.Journal of bacteriology · 2013Article
- RegTransBase--a database of regulatory sequences and interactions based on literature: a resource for investigating transcriptional regulation in prokaryotes.BMC genomics · 2013Article
- Comparative genomic reconstruction of transcriptional networks controlling central metabolism in the Shewanella genus.BMC genomics · 2011Article
- Novel sequence-based method for identifying transcription factor binding sites in prokaryotic genomes.Bioinformatics (Oxford, England) · 2010Article
- Simultaneous prediction of transcription factor binding sites in a group of prokaryotic genomes.BMC bioinformatics · 2010Article
- Shewanella knowledgebase: integration of the experimental data and computational predictions suggests a biological role for transcription of intergenic regions.Database : the journal of biological databases and curation · 2010Article
- Shewregdb: database and visualization environment for experimental and predicted regulatory information in Shewanella oneidensis mr-1.Bioinformation · 2009Article
- Genome-wide de novo prediction of cis-regulatory binding sites in prokaryotes.Nucleic acids research · 2009Article
- Discovering cis-regulatory RNAs in Shewanella genomes by Support Vector Machines.PLoS computational biology · 2009Article
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3 authors.
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Abstract
While hundreds of microbial genomes are sequenced, the challenge remains to define their cis-regulatory maps. Here, we present a comparative genomic analysis of the cis-regulatory map of Shewanella oneidensis, an important model organism for bioremediation because of its extraordinary abilities to use a wide variety of metals and organic molecules as electron acceptors in respiration. First, from the experimentally verified transcriptional regulatory networks of Escherichia coli, we inferred 24 DNA motifs that are conserved in S. oneidensis. We then applied a new comparative approach on five Shewanella genomes that allowed us to systematically identify 194 nonredundant palindromic DNA motifs and corresponding regulons in S. oneidensis. Sixty-four percent of the predicted motifs are conserved in at least three of the seven newly sequenced and distantly related Shewanella genomes. In total, we obtained 209 unique DNA motifs in S. oneidensis that cover 849 unique transcription units. Besides conservation in other genomes, 77 of these motifs are supported by at least one additional type of evidence, including matching to known transcription factor binding motifs and significant functional enrichment or expression coherence of the corresponding target genes. Using the same approach on a more focused gene set, 990 differentially expressed genes derived from published microarray data of S. oneidensis during exposure to metal ions, we identified 31 putative cis-regulatory motifs (16 with at least one type of additional supporting evidence) that are potentially involved in the process of metal reduction. The majority (18/31) of those motifs had been found in our whole-genome comparative approach, further demonstrating that such an approach is capable of uncovering a large fraction of the regulatory map of a genome even in the absence of experimental data. The integrated computational approach developed in this study provides a useful strategy to identify genome-wide cis-regulatory maps and a novel avenue to explore the regulatory pathways for particular biological processes in bacterial systems.
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