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1.
BMC Genomics ; 12 Suppl 1: S3, 2011 Jun 15.
Artigo em Inglês | MEDLINE | ID: mdl-21810205

RESUMO

BACKGROUND: Genome-scale prediction of gene regulation and reconstruction of transcriptional regulatory networks in bacteria is one of the critical tasks of modern genomics. The Shewanella genus is comprised of metabolically versatile gamma-proteobacteria, whose lifestyles and natural environments are substantially different from Escherichia coli and other model bacterial species. The comparative genomics approaches and computational identification of regulatory sites are useful for the in silico reconstruction of transcriptional regulatory networks in bacteria. RESULTS: To explore conservation and variations in the Shewanella transcriptional networks we analyzed the repertoire of transcription factors and performed genomics-based reconstruction and comparative analysis of regulons in 16 Shewanella genomes. The inferred regulatory network includes 82 transcription factors and their DNA binding sites, 8 riboswitches and 6 translational attenuators. Forty five regulons were newly inferred from the genome context analysis, whereas others were propagated from previously characterized regulons in the Enterobacteria and Pseudomonas spp.. Multiple variations in regulatory strategies between the Shewanella spp. and E. coli include regulon contraction and expansion (as in the case of PdhR, HexR, FadR), numerous cases of recruiting non-orthologous regulators to control equivalent pathways (e.g. PsrA for fatty acid degradation) and, conversely, orthologous regulators to control distinct pathways (e.g. TyrR, ArgR, Crp). CONCLUSIONS: We tentatively defined the first reference collection of ~100 transcriptional regulons in 16 Shewanella genomes. The resulting regulatory network contains ~600 regulated genes per genome that are mostly involved in metabolism of carbohydrates, amino acids, fatty acids, vitamins, metals, and stress responses. Several reconstructed regulons including NagR for N-acetylglucosamine catabolism were experimentally validated in S. oneidensis MR-1. Analysis of correlations in gene expression patterns helps to interpret the reconstructed regulatory network. The inferred regulatory interactions will provide an additional regulatory constrains for an integrated model of metabolism and regulation in S. oneidensis MR-1.


Assuntos
Redes Reguladoras de Genes , Regulon , Shewanella/genética , Shewanella/metabolismo , Acetilglucosamina/metabolismo , Aminoácidos/metabolismo , Proteínas de Bactérias/genética , Proteínas de Bactérias/metabolismo , Sítios de Ligação , Metabolismo dos Carboidratos , Proteínas de Ligação a DNA/genética , Escherichia coli/genética , Proteínas de Escherichia coli/genética , Ácidos Graxos/metabolismo , Regulação Bacteriana da Expressão Gênica , Genoma Bacteriano , Genômica/métodos , Família Multigênica , Proteínas Repressoras/genética , Riboswitch , Fatores de Transcrição/genética , Fatores de Transcrição/metabolismo
2.
Appl Environ Microbiol ; 73(10): 3440-5, 2007 May.
Artigo em Inglês | MEDLINE | ID: mdl-17369330

RESUMO

Upon exposure of Nitrosomonas europaea to chloroform (7 microM, 1 h), transcripts for 175 of 2,460 genes were found at higher levels in treated cells than in untreated cells and transcripts for 501 genes were found at lower levels. With chloromethane (3.2 mM, 1 h), transcripts for 67 genes were at higher levels and transcripts for 148 genes were at lower levels. Transcripts for 37 genes were at higher levels following both treatments and included genes for heat shock proteins, sigma-factors of the extracytoplasmic function subfamily, and toxin-antitoxin loci. N. europaea has higher levels of transcripts for a variety of defense genes when exposed to chloroform or chloromethane.


Assuntos
Clorofórmio/farmacologia , Perfilação da Expressão Gênica , Regulação Bacteriana da Expressão Gênica , Cloreto de Metila/farmacologia , Nitrosomonas europaea/efeitos dos fármacos , Transcrição Gênica/efeitos dos fármacos , Adaptação Fisiológica/genética , Antibacterianos/farmacologia , Proteínas de Bactérias/genética , Nitrosomonas europaea/genética , Nitrosomonas europaea/metabolismo , RNA Bacteriano/biossíntese , RNA Bacteriano/genética , RNA Mensageiro/biossíntese , RNA Mensageiro/genética
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