Biomedical subjects

Gabriel Moreno-Hagelsieb

Publications and source records attributed to Gabriel Moreno-Hagelsieb.

12 recordsLinked to original sources

PubMed2006

The distinctive signatures of promoter regions and operon junctions across prokaryotes.

Here we show that regions upstream of first transcribed genes have oligonucleotide signatures that distinguish them from regions upstream of genes in the middle of operons. Databases of experimentally confirmed transcription units do not exist for most genomes. Thus, to expand the analyses into genomes with no experimentally confirmed data, we used genes conserved adjacent in evolutionarily distant genomes as representatives of genes inside operons. Likewise, we used divergently transcribed genes as representative examples of first transcribed genes. In model organisms, the trinucleotide signatures of regions upstream of these representative genes allow for operon predictions with accuracies close to those obtained with known operon data (0.8). Signature-based operon predictions have more similar phylogenetic profiles and higher proportions of genes in the same pathways than predicted transcription unit boundaries (TUBs). These results confirm that we are separating genes with related functions, as expected for operons, from genes not necessarily related, as expected for genes in different transcription units. We also test the quality of the predictions using microarray data in six genomes and show that the signature-predicted operons tend to have high correlations of expression. Oligonucleotide signatures should expand the number of tools available to identify operons even in poorly characterized genomes.

Bacillus subtilis↗

PubMed2006

The partitioned Rhizobium etli genome: genetic and metabolic redundancy in seven interacting replicons.

We report the complete 6,530,228-bp genome sequence of the symbiotic nitrogen fixing bacterium Rhizobium etli. Six large plasmids comprise one-third of the total genome size. The chromosome encodes most functions necessary for cell growth, whereas few essential genes or complete metabolic pathways are located in plasmids. Chromosomal synteny is disrupted by genes related to insertion sequences, phages, plasmids, and cell-surface components. Plasmids do not show synteny, and their orthologs are mostly shared by accessory replicons of species with multipartite genomes. Some nodulation genes are predicted to be functionally related with chromosomal loci encoding for the external envelope of the bacterium. Several pieces of evidence suggest an exogenous origin for the symbiotic plasmid (p42d) and p42a. Additional putative horizontal gene transfer events might have contributed to expand the adaptive repertoire of R. etli, because they include genes involved in small molecule metabolism, transport, and transcriptional regulation. Twenty-three putative sigma factors, numerous isozymes, and paralogous families attest to the metabolic redundancy and the genomic plasticity necessary to sustain the lifestyle of R. etli in symbiosis and in the soil.

Gene Transfer, Horizontal↗

PubMed2006

Whole-genome expression profiling defines the HrpL regulon of Pseudomonas syringae pv. tomato DC3000, allows de novo reconstruction of the Hrp cis clement, and identifies novel coregulated genes.

Pseudomonas syringae pv. tomato DC3000 is a model pathogen of tomato and Arabidopsis that uses a hypersensitive response and pathogenicity (Hrp) type III secretion system (T3SS) to deliver virulence effector proteins into host cells. Expression of the Hrp system and many effector genes is activated by the HrpL alternative sigma factor. Here, an open reading frame-specific whole-genome microarray was constructed for DC3000 and used to comprehensively identify genes that are differentially expressed in wild-type and deltahrpL strains. Among the genes whose differential regulation was statistically significant, 119 were upregulated and 76 were downregulated in the wild-type compared with the deltahrpL strain. Hierarchical clustering revealed a subset of eight genes that were upregulated particularly rapidly. Gibbs sampling of regions upstream of HrpL-activated operons revealed the Hrp promoter as the only identifiable regulatory motif and supported an iterative refinement involving real-time polymerase chain reaction testing of additional HrpL-activated genes and refinements in a hidden Markov model that can be used to predict Hrp promoters in P. syringae strains. This iterative bioinformatic-experimental approach to a comprehensive analysis of the HrpL regulon revealed a mix of genes controlled by HrpL, including those encoding most type III effectors, twin-arginine transport (TAT) substrates, other regulatory proteins, and proteins involved in the synthesis or metabolism of phytohormones, phytotoxins, and myo-inositol. This analysis provides an extensively verified, robust method for predicting Hrp promoters in P. syringae genomes, and it supports subsequent identification of effectors and other factors that likely are important to the host-specific virulence of P. syringae.

Bacterial Proteins↗

PubMed2005

Nebulon: a system for the inference of functional relationships of gene products from the rearrangement of predicted operons.

Since operons are unstable across Prokaryotes, it has been suggested that perhaps they re-combine in a conservative manner. Thus, genes belonging to a given operon in one genome might re-associate in other genomes revealing functional relationships among gene products. We developed a system to build networks of functional relationships of gene products based on their organization into operons in any available genome. The operon predictions are based on inter-genic distances. Our system can use different kinds of thresholds to accept a functional relationship, either related to the prediction of operons, or to the number of non-redundant genomes that support the associations. We also work by shells, meaning that we decide on the number of linking iterations to allow for the complementation of related gene sets. The method shows high reliability benchmarked against knowledge-bases of functional interactions. We also illustrate the use of Nebulon in finding new members of regulons, and of other functional groups of genes. Operon rearrangements produce thousands of high-quality new interactions per prokaryotic genome, and thousands of confirmations per genome to other predictions, making it another important tool for the inference of functional interactions from genomic context.

Bacterial Proteins↗

PubMed2004

Conservation of adjacency as evidence of paralogous operons.

Most of the analyses on the conservation of gene order are limited to orthologous genes. However, the organization of genes into operons might also result in the conservation of gene order of paralogous genes. Thus, we sought computational evidence that conservation of gene order of paralogous genes represents another level of conservation of genes in operons. We found that pairs of genes within experimentally characterized operons of Escherichia coli K12 and Bacillus subtilis tend to have more adjacently conserved paralogs than pairs of genes at transcription unit boundaries. The fraction of same strand gene pairs corresponding to conserved paralogs averages 0.07 with a maximum of 0.22 in Borrelia burgdorferi. The use of evidence from the conservation of adjacency of paralogous genes can improve the prediction of operons in E.coli K12 by approximately 0.27 over predictions using conservation of adjacency of orthologous genes alone.

Bacillus subtilis↗

PubMed2004

Successful lateral transfer requires codon usage compatibility between foreign genes and recipient genomes.

We present evidence supporting the notion that codon usage (CU) compatibility between foreign genes and recipient genomes is an important prerequisite to assess the selective advantage of imported functions, and therefore to increase the fixation probability of horizontal gene transfer (HGT) events. This contrasts with the current tendency in research to predict recent HGTs in prokaryotes by assuming that acquired genes generally display poor CU. By looking at the CU level (poor, typical, or rich) exhibited by putative xenologs still resembling their original CU, we found that most alien genes predominantly present typical CU immediately upon introgression, thereby suggesting that the role of CU amelioration in HGT has been overemphasized. In our strategy, we first scanned a representative set of 103 complete prokaryotic genomes for all pairs of candidate xenologs (exported/imported genes) displaying similar CU. We applied additional filtering criteria, including phylogenetic validations, to enhance the reliability of our predictions. Our approach makes no assumptions about the CU of foreign genes being typical or atypical within the recipient genome, thus providing a novel unbiased framework to study the evolutionary dynamics of HGT.

Archaea↗

PubMed2004

A new method of solution for the occupancy problem and its application to operon size prediction.

The problem of estimating the expected number of transcription units containing a specific number of genes arises in the context of operon size prediction in prokaryotic genomes, where operons are defined to be transcription units containing two or more genes. It turns out that this problem is identical mathematically to the balls in urns occupancy problem in probability theory. In that problem, a fixed number of indistinguishable balls are randomly placed in a known number of distinguishable urns, subject to the restriction that no urns may remain empty, and an estimate is desired for the expected number of urns containing a specific number of balls. In this paper we present a new simple technique for solving the occupancy problem when empty urns are allowed and extend it to the case when each urn must contain the same non-zero minimum number of balls. Treating transcription units as equivalent to urns, and genes as equivalent to balls, we then use that result to solve the problem of estimating the expected number of transcription units that contain a specific number of genes, and then apply that result to predicting the expected number of transcription units present in an entire genome. Since these predictions can be made for any completely sequenced and annotated prokaryotic genome, they provide a starting point for the comparison of regulatory complexity across such genomes.

Animals↗

PubMed2003

Conservation of DNA curvature signals in regulatory regions of prokaryotic genes.

DNA curvature plays a well-characterized role in many transcriptional regulation mechanisms. We present evidence for the conservation of curvature signals in putative regulatory regions of several archaeal and eubacterial genomes. Genes with highly curved upstream regions were identified in orthologous groups, based on the annotations of the Cluster of Orthologous Groups of proteins (COG) database. COGs possessing a significant number of genes with curvature signals were analyzed, and conserved properties were found in several cases. Curvature signals related to regulatory sites, previously described in single organisms, were located in a broad spectrum of bacterial genomes. Global regulatory proteins, such as HU, IHF and FIS, known to bind to curved DNA and to be autoregulated, were found to present conserved DNA curvature signals in their regulatory regions, emphasizing the fact that structural parameters of the DNA molecule are conserved elements in the process of transcriptional regulation of some systems. It is currently an open question whether these diverse systems are part of an integrated global regulatory response in different microorganisms.

Cell Division↗

PubMed2003

The mosaic structure of the symbiotic plasmid of Rhizobium etli CFN42 and its relation to other symbiotic genome compartments.

BACKGROUND: Symbiotic bacteria known as rhizobia interact with the roots of legumes and induce the formation of nitrogen-fixing nodules. In rhizobia, essential genes for symbiosis are compartmentalized either in symbiotic plasmids or in chromosomal symbiotic islands. To understand the structure and evolution of the symbiotic genome compartments (SGCs), it is necessary to analyze their common genetic content and organization as well as to study their differences. To date, five SGCs belonging to distinct species of rhizobia have been entirely sequenced. We report the complete sequence of the symbiotic plasmid of Rhizobium etli CFN42, a microsymbiont of beans, and a comparison with other SGC sequences available. RESULTS: The symbiotic plasmid is a circular molecule of 371,255 base-pairs containing 359 coding sequences. Nodulation and nitrogen-fixation genes common to other rhizobia are clustered in a region of 125 kilobases. Numerous sequences related to mobile elements are scattered throughout. In some cases the mobile elements flank blocks of functionally related sequences, thereby suggesting a role in transposition. The plasmid contains 12 reiterated DNA families that are likely to participate in genomic rearrangements. Comparisons between this plasmid and complete rhizobial genomes and symbiotic compartments already sequenced show a general lack of synteny and colinearity, with the exception of some transcriptional units. There are only 20 symbiotic genes that are shared by all SGCs. CONCLUSIONS: Our data support the notion that the symbiotic compartments of rhizobia genomes are mosaic structures that have been frequently tailored by recombination, horizontal transfer and transposition.

Anaerobiosis↗

PubMed2002

Evaluation of thresholds for the detection of binding sites for regulatory proteins in Escherichia coli K12 DNA.

BACKGROUND: Sites in DNA that bind regulatory proteins can be detected computationally in various ways. Pattern discovery methods analyze collections of genes suspected to be co-regulated on the evidence, for example, of clustering of transcriptome data. Pattern searching methods use sequences with known binding sites to find other genes regulated by a given protein. Such computational methods are important strategies in the discovery and elaboration of regulatory networks and can provide the experimental biologist with a precise prediction of a binding site or identify a gene as a member of a set of co-regulated genes (a regulon). As more variations on such methods are published, however, thorough evaluation is necessary, as performance may differ depending on the conditions of use. Detailed evaluation also helps to improve and understand the behavior of the different methods and computational strategies. RESULTS: We used a collection of 86 regulons from Escherichia coli as datasets to evaluate two methods for pattern discovery and pattern searching: dyad analysis/dyad sweeping using the program Dyad-analysis, and multiple alignment using the programs Consensus/Patser. Clearly defined statistical parameters are used to evaluate the two methods in different situations. We placed particular emphasis on minimizing the rate of false positives. CONCLUSIONS: As a general rule, sensors obtained from experimentally reported binding sites in DNA frequently locate true sites as the highest-scoring sequences within a given upstream region, especially using Consensus/Patser. Pattern discovery is still an unsolved problem, although in the cases where Dyad-analysis finds significant dyads (around 50%), these frequently correspond to true binding sites. With more robust methods, regulatory predictions could help identify the function of unknown genes.

Bacterial Proteins↗

PubMed2002

A powerful non-homology method for the prediction of operons in prokaryotes.

MOTIVATION: The prediction of the transcription unit organization of genomes is an important clue in the inference of functional relationships of genes, the interpretation and evaluation of transcriptome experiments, and the overall inference of the regulatory networks governing the expression of genes in response to the environment. Though several methods have been devised to predict operons, most need a high characterization of the genome analysed. Log-likelihoods derived from inter-genic distance distributions work surprisingly well to predict operons in Escherichia coli and are available for any genome as soon as the gene sets are predicted. RESULTS: Here we provide evidence that the very same method is applicable to any prokaryotic genome. First, the method has the same efficiency when evaluated using a collection of experimentally known operons of Bacillus subtilis. Second, operons among most if not all prokaryotes seem to have the same tendencies to keep short distances between their genes, the most frequent distances being the overlaps of four and one base pairs. The universality of this structural feature allows us to predict the organization of transcription units in all prokaryotes. Third, predicted operons contain a higher proportion of genes with related phylogenetic profiles and conservation of adjacency than predicted borders of transcription units.

Algorithms↗

PubMed2002

Operon conservation from the point of view of Escherichia coli, and inference of functional interdependence of gene products from genome context.

We have previously demonstrated that genes within experimentally characterized operons of Escherichia coli are conserved together in other genomes more frequently than genes at the borders of transcription units. Here we expand the analyses and show that, as the phylogenetic distance of the genomes compared increases, the genes remaining together must belong to genes associated into operons in other prokaryotes regardless of the operon organization of the corresponding orthologous gene pair of E. coli. At the same time, we show that the observed tendencies of genes within operons to keep very short inter-genic distances in E. coli, is the same in any other prokaryote whose genome is currently available. We also show the relationship between our analyses of conservation and the inference of functional relationships from genomic context.

Computational Biology↗