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1.
BMC Genomics ; 20(1): 299, 2019 Apr 16.
Article in English | MEDLINE | ID: mdl-30991941

ABSTRACT

BACKGROUND: Crl, identified for curli production, is a small transcription factor that stimulates the association of the σS factor (RpoS) with the RNA polymerase core through direct and specific interactions, increasing the transcription rate of genes during the transition from exponential to stationary phase at low temperatures, using indole as an effector molecule. The lack of a comprehensive collection of information on the Crl regulon makes it difficult to identify a dominant function of Crl and to generate any hypotheses concerning its taxonomical distribution in archaeal and bacterial organisms. RESULTS: In this work, based on a systematic literature review, we identified the first comprehensive dataset of 86 genes under the control of Crl in the bacterium Escherichia coli K-12; those genes correspond to 40% of the σS regulon in this bacterium. Based on an analysis of orthologs in 18 archaeal and 69 bacterial taxonomical divisions and using E. coli K-12 as a framework, we suggest three main events that resulted in this regulon's actual form: (i) in a first step, rpoS, a gene widely distributed in bacteria and archaea cellular domains, was recruited to regulate genes involved in ancient metabolic processes, such as those associated with glycolysis and the tricarboxylic acid cycle; (ii) in a second step, the regulon recruited those genes involved in metabolic processes, which are mainly taxonomically constrained to Proteobacteria, with some secondary losses, such as those genes involved in responses to stress or starvation and cell adhesion, among others; and (iii) in a posterior step, Crl might have been recruited in Enterobacteriaceae; because its taxonomical pattern constrained to this bacterial order, however further analysis are necessary. CONCLUSIONS: Therefore, we suggest that the regulon Crl is highly flexible for phenotypic adaptation, probably as consequence of the diverse growth environments associated with all organisms in which members of this regulatory network are present.


Subject(s)
Genome, Archaeal/genetics , Genome, Bacterial/genetics , Phylogeny , Regulon/genetics , Evolution, Molecular
2.
Nucleic acids res ; 33(Database issue)(1)Jan. 2005.
Article in English | CUMED | ID: cum-40089

ABSTRACT

Experimental data on the Escherichia coli transcriptional regulatory system has been used in the past years to predict new regulatory elements (promoters, transcription factors (TFs), TFs' binding sites and operons) within its genome. As more genomes of gamma-proteobacteria are being sequenced, the prediction of these elements in a growing number of organisms has become more feasible, as a step towards the study of how different bacteria respond to environmental changes at the level of transcriptional regulation. In this work, we present TRACTOR_DB (TRAnscription FaCTORs' predicted binding sites in prokaryotic genomes), a relational database that contains computational predictions of new members of 74 regulons in 17 gamma-proteobacterial genomes. For these predictions we used a comparative genomics approach regarding which several proof-of-principle articles for large regulons have been published. TRACTOR_DB may be currently accessed at http://www.bioinfo.cu/Tractor_DB, http://www.tractor.lncc.br/ or at http://www.cifn.unam.mx/Computational_Genomics/tractorDB. Contact Email id is tractor@cifn.unam.mx(AU)


Subject(s)
Humans , Genome, Bacterial/genetics , Databases, Nucleic Acid , Gammaproteobacteria/genetics , Regulatory Sequences, Nucleic Acid , Regulon , Transcription Factors/metabolism
3.
J Mol Evol ; 53(3): 172-9, 2001 Sep.
Article in English | MEDLINE | ID: mdl-11523004

ABSTRACT

Regulatory proteins in Escherichia coli with a helix-turn-helix (HTH) DNA binding motif show a position-function correlation such that repressors have this motif predominantly at the N terminus, whereas activators have the motif at the C-terminus extreme. Using this initial collection we identified by sequence comparison the exhaustive set of transcriptional regulators in 17 bacterial and 6 archaeal genomes. This enlarged set shows the same position-function correlation. The main question we address is whether this correlation is the result of common origin in evolution or the result of convergence. Evidence is presented supporting a common history at the origin of this correlation. We show the existence of a supergroup of eight repressor protein families sharing a conserved extended sequence comprising the classic HTH. Two of these repressor families (MarR and AsnC) originated before the divergence of Archaea and Bacteria. They are proposed at the origin of HTH-bearing transcriptional regulators currently present in Bacteria. The group of LysR proteins, with the HTH also at the N terminus, offers a control to the argument, since it shows clearly distinctive structural, functional, and evolutionary properties. This group of activator proteins, suggested to have originated within the Bacteria, has an advantageous gene organization to facilitate its horizontal transfer-used to conquer some Archaea-as well as negative autoregulation convenient for homeostasis, all of which agrees with this being the largest family in Bacteria. These results suggest that if shuffling of motifs occurred in Bacteria, it occurred only early in the history of these proteins, as opposed to what is observed in eukaryotic regulators.


Subject(s)
Archaea/genetics , Bacteria/genetics , Evolution, Molecular , Helix-Turn-Helix Motifs , Transcription Factors/genetics , Archaea/chemistry , Archaea/metabolism , Archaeal Proteins/chemistry , Archaeal Proteins/genetics , Archaeal Proteins/metabolism , Bacteria/chemistry , Bacteria/metabolism , Bacterial Proteins/chemistry , Bacterial Proteins/genetics , Bacterial Proteins/metabolism , DNA-Binding Proteins/chemistry , DNA-Binding Proteins/genetics , DNA-Binding Proteins/metabolism , Helix-Turn-Helix Motifs/genetics , Repressor Proteins/chemistry , Repressor Proteins/genetics , Repressor Proteins/metabolism , Transcription Factors/chemistry , Transcription Factors/metabolism
4.
Trends Genet ; 17(4): 175-7, 2001 Apr.
Article in English | MEDLINE | ID: mdl-11275307

ABSTRACT

Here we address the question of the degree to which genes within experimentally characterized operons in one organism (Escherichia coli) are conserved in other genomes. We found that two genes adjacent within an operon are more likely both to have an ortholog in other organisms, regardless of relative position, than genes adjacent on the same strand but in two different transcription units. They are also more likely to occur next to, or fused to, one another in other genomes. Genes frequently conserved adjacent to each other, especially among evolutionarily distant species, must be part of the same transcription unit in most of them.


Subject(s)
Conserved Sequence , Escherichia coli/genetics , Operon , Transcription, Genetic , DNA, Intergenic/genetics , Genes, Homeobox , Genome, Bacterial , Phylogeny , RNA, Bacterial , RNA, Messenger
5.
Nucleic Acids Res ; 29(1): 72-4, 2001 Jan 01.
Article in English | MEDLINE | ID: mdl-11125053

ABSTRACT

RegulonDB is a database on mechanisms of transcription regulation and operon organization in Escherichia coli K-12. The current version has considerably increased numbers of regulatory elements such as promoters, binding sites and terminators. The complete repertoire of known and predicted DNA-binding transcriptional regulators can be considered to be included in this version. The database now distinguishes different allosteric conformations of regulatory proteins indicating the one active in binding and regulating the different promoters. A new set of operon predictions has been incorporated. The relational design has been modified accordingly. Furthermore, a major improvement is a graphic display enabling browsing of the database with a Java-based graphic user interface with three zoom-levels connected to properties of each chromosomal element. The purpose of these modifications is to make RegulonDB a useful tool and control set for transcriptome experiments. RegulonDB can be accessed on the web at the URL: http://www.cifn.unam.mx/Computational_Biology/++ +regulondb/


Subject(s)
Databases, Factual , Regulon/genetics , Chromosomes, Bacterial/genetics , Escherichia coli/genetics , Gene Expression Regulation, Bacterial , Internet , Operon , Transcription, Genetic
6.
Nucleic Acids Res ; 28(8): 1838-47, 2000 Apr 15.
Article in English | MEDLINE | ID: mdl-10734204

ABSTRACT

Using a combination of several approaches we estimated and characterized a total of 314 regulatory DNA-binding proteins in Escherichia coli, which might represent its minimal set of transcription factors. The collection is comprised of 35% activators, 43% repressors and 22% dual regulators. Within many regulatory protein families, the members are homogeneous in their regulatory roles, physiology of regulated genes, regulatory function, length and genome position, showing that these families have evolved homogeneously in prokaryotes, particularly in E.coli. This work describes a full characterization of the repertoire of regulatory interactions in a whole living cell. This repertoire should contribute to the interpretation of global gene expression profiles in both prokaryotes and eukaryotes.


Subject(s)
DNA-Binding Proteins/genetics , Escherichia coli/genetics , Transcription Factors/genetics , DNA-Binding Proteins/chemistry , Gene Expression Regulation, Bacterial , Genes, Bacterial , Helix-Turn-Helix Motifs , Transcription Factors/chemistry
7.
Bioessays ; 20(5): 433-40, 1998 May.
Article in English | MEDLINE | ID: mdl-9670816

ABSTRACT

Because a large number of molecular mechanisms involved in gene regulation have been described during the last decades, it is now becoming possible to address questions about the global structure of gene regulatory networks, at least in the case of some of the best-characterized organisms. This paper presents a global characterization of the transcriptional regulation in Escherichia coli on the basis of the current data. The connectivity of the corresponding network was evaluated by analyzing the distribution of the number of genes regulated by a given regulatory protein, and the distribution of the number of regulatory genes regulating a given regulated gene. The mean connectivity found (between 2 and 3) shows a rather loosely interconnected structure. Special emphasis is given to circular sequences of interactions ("circuits") because of their critical dynamical properties. Only one-element circuits were found, in which negative autoregulation is the dominant architecture. These global properties are discussed in light of several pertinent theoretical approaches, as well as in terms of physiological and evolutionary considerations.


Subject(s)
Escherichia coli/genetics , Gene Expression Regulation/genetics , Transcription, Genetic/genetics , Bacterial Proteins/physiology , Evolution, Molecular , Feedback/physiology , Genome, Bacterial , Models, Genetic
8.
J Mol Biol ; 275(2): 165-70, 1998 Jan 16.
Article in English | MEDLINE | ID: mdl-9466899

ABSTRACT

Position analyses have been devised to extract additional transcriptional information from rapidly expanding genomic data bases. The locations of promoter regulatory sites and also the locations of transcription factor DNA-binding domains are analyzed. Strongly preferred positions of activator binding sites occur in both Escherichia coli and eukaryotes, suggesting specific common features of transcription in the two systems. In both systems, regulatory proteins are found to have their DNA-binding domains near termini and the data suggest an evolutionary analysis that complements a phylogenetic analysis based on sequence alignments. The results indicate that positional information can be an important adjunct to sequence comparisons in analyzing genomic information.


Subject(s)
Genome , Models, Genetic , Transcription, Genetic , Animals , Databases, Factual , Escherichia coli/genetics , Eukaryotic Cells , Humans , Phylogeny , Promoter Regions, Genetic , Regulatory Sequences, Nucleic Acid , Sequence Alignment , Transcription Factors/metabolism
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