Antoni Romeu

OPTIMIZER: a web server for optimizing the codon usage of DNA sequences

OPTIMIZER is an on-line application that optimizes the codon usage of a gene to increase its expression level. Three methods of optimization are available: the ‘one amino acid–one codon’ method, a guided random method based on a Monte Carlo algorithm, and a new method designed to maximize the optimization with the fewest changes in the query sequence. One of the main features of OPTIMIZER is that it makes it possible to optimize a DNA sequence using pre-computed codon usage tables from a predicted group of highly expressed genes from more than 150 prokaryotic species under strong translational selection. These groups of highly expressed genes have been predicted using a new iterative algorithm. In addition, users can use, as a reference set, a pre-computed table containing the mean codon usage of ribosomal protein genes and, as a novelty, the tRNA gene-copy numbers. OPTIMIZER is accessible free of charge at http://genomes.urv.es/OPTIMIZER.

HGT-DB: a database of putative horizontally transferred genes in prokaryotic complete genomes

The Horizontal Gene Transfer DataBase (HGT-DB) is a genomic database that includes statistical parameters such as G+C content, codon and amino-acid usage, as well as information about which genes deviate in these parameters for prokaryotic complete genomes. Under the hypothesis that genes from distantly related species have different nucleotide compositions, these deviated genes may have been acquired by horizontal gene transfer. The current version of the database contains 88 bacterial and archaeal complete genomes, including multiple chromosomes and strains. For each genome, the database provides statistical parameters for all the genes, as well as averages and standard deviations of G+C content, codon usage, relative synonymous codon usage and amino-acid content. It also provides information about correspondence analyses of the codon usage, plus lists of extraneous group of genes in terms of G+C content and lists of putatively acquired genes. With this information, researchers can explore the G+C content and codon usage of a gene when they find incongruities in sequence-based phylogenetic trees. A search engine that allows searches for gene names or keywords for a specific organism is also available. HGT-DB is freely accessible at http://www.fut.es/~debb/HGT.

HEG-DB: a database of predicted highly expressed genes in prokaryotic complete genomes under translational selection

The highly expressed genes database (HEG-DB) is a genomic database that includes the prediction of which genes are highly expressed in prokaryotic complete genomes under strong translational selection. The current version of the database contains general features for almost 200 genomes under translational selection, including the correspondence analysis of the relative synonymous codon usage for all genes, and the analysis of their highly expressed genes. For each genome, the database contains functional and positional information about the predicted group of highly expressed genes. This information can also be accessed using a search engine. Among other statistical parameters, the database also provides the Codon Adaptation Index (CAI) for all of the genes using the codon usage of the highly expressed genes as a reference set. The ‘Pathway Tools Omics Viewer’ from the BioCyc database enables the metabolic capabilities of each genome to be explored, particularly those related to the group of highly expressed genes. The HEG-DB is freely available at http://genomes.urv.cat/HEG-DB.

Specific gene hypomethylation and cancer: new insights into coding region feature trends.

Giving coding region structural features a role in the hypomethylation of specific genes, the occurrence of G+C content, CpG islands, repeat and retrotransposable elements in demethylated genes related to cancer has been evaluated. A comparative analysis among different cancer types has also been performed. In this work, the inter-cancer coding region features comparative analysis carried out, show insights into what structural trends/patterns are present in the studied cancers.

Simultaneous horizontal gene transfer of a gene coding for ribosomal protein L27 and operational genes in Arthrobacter sp.

Phylogenetic analysis of bacterial L27 ribosomal proteins showed that, against taxonomy, the L27 protein from the Actinobacteria Arthrobacter sp. clusters with protein sequences from the Bacillus group. The L27 gene clusters in the Arthrobacter sp. genome with six genes responsible for creatinine and sarcosine degradation. Phylogenetic analyses of orthologue proteins encoded by three of these genes also showed a phylogenetic relationship with Bacillus species. Comparisons between the synonymous codon usage of the Arthrobacter sp. genes and those from complete genomes showed that Arthrobacter genes encoding the L27 ribosomal protein and the proteins responsible for the degradation of creatinine and sarcosine have a codon usage that is more similar to that of Bacillus species than that of Arthrobacter. We suggest that the Arthrobacter sp. genes encoding the L27 ribosomal protein and the proteins responsible for the degradation of creatinine and sarcosine were acquired simultaneously through horizontal gene transfer from an unknown Bacillus species.

PairWise Neighbours database: overlaps and spacers among prokaryote genomes

BackgroundAlthough prokaryotes live in a variety of habitats and possess different metabolic and genomic complexity, they have several genomic architectural features in common. The overlapping genes are a common feature of the prokaryote genomes. The overlapping lengths tend to be short because as the overlaps become longer they have more risk of deleterious mutations. The spacers between genes tend to be short too because of the tendency to reduce the non coding DNA among prokaryotes. However they must be long enough to maintain essential regulatory signals such as the Shine-Dalgarno (SD) sequence, which is responsible of an efficient translation.DescriptionPairWise Neighbours is an interactive and intuitive database used for retrieving information about the spacers and overlapping genes among bacterial and archaeal genomes. It contains 1,956,294 gene pairs from 678 fully sequenced prokaryote genomes and is freely available at the URL http://genomes.urv.cat/pwneigh. This database provides information about the overlaps and their conservation across species. Furthermore, it allows the wide analysis of the intergenic regions providing useful information such as the location and strength of the SD sequence.ConclusionThere are experiments and bioinformatic analysis that rely on correct annotations of the initiation site. Therefore, a database that studies the overlaps and spacers among prokaryotes appears to be desirable. PairWise Neighbours database permits the reliability analysis of the overlapping structures and the study of the SD presence and location among the adjacent genes, which may help to check the annotation of the initiation sites.

Completely sequenced genomes of pathogenic bacteria: A review

Six out of ten completely sequenced bacterial genomes are pathogenic or opportunistic bacteria. The genome sequence of at least one strain of all the principal pathogenic bacteria will soon be available. This information should enable us to identify genes that encode virulence factors. As these genes are potential targets for drugs and vaccines, their identification should have considerable repercussions on prevention, diagnosis, and treatment of the main bacterial infectious diseases. Comparison of genome sequences of several strains of the same species should allow identification of the genetic clues responsible for the differing behavior of related bacterial pathogens. This article reviews the genomes from pathogenic bacteria that have been or are currently being sequenced, describes the main tasks to be accomplished after a genome sequence becomes available, and discusses the benefits of having the genome sequence of bacterial pathogens.

In Silico Prediction of the Origin of Replication among Bacteria: A Case Study of Bacteroides thetaiotaomicron

The initiation of chromosomal replication occurs only once during the prokaryote cell cycle. Some origins of replication have been experimentally determined and have led to the development of in silico approaches to find the origin of replication among other prokaryotes. DNA base composition asymmetry is the basis of numerous in silico methods used to detect the origin and terminus of replication in prokaryotes. However, the composition asymmetry does not allow us to locate precisely the positions of the origin and terminus. Since DNA replication is a key step in the cell cycle it is important to determine properly the origin and terminus regions. Therefore, we have reviewed here the methods, tools, and databases for predicting the origins and terminuses of replication, and we have proposed some complementary analyses to reinforce these predictions. These analyses include finding the dnaA gene and its binding sites; making BLAST analyses of the intergenic sequences compared to related species; studying the gene order around the origin sequence; and studying the distribution of the genes encoded in the leading versus the lagging strand.

A First-Stage Approximation to Identify New Imprinted Genes through Sequence Analysis of Its Coding Regions

In the present study, a positive training set of 30 known human imprinted gene coding regions are compared with a set of 72 randomly sampled human nonimprinted gene coding regions (negative training set) to identify genomic features common to human imprinted genes. The most important feature of the present work is its ability to use multivariate analysis to look at variation, at coding region DNA level, among imprinted and non-imprinted genes. There is a force affecting genomic parameters that appears through the use of the appropriate multivariate methods (principle components analysis (PCA) and quadratic discriminant analysis (QDA)) to analyse quantitative genomic data. We show that variables, such as CG content, [bp]% CpG islands, [bp]% Large Tandem Repeats, and [bp]% Simple Repeats, are able to distinguish coding regions of human imprinted genes.

Frameshift mutation events in β-glucosidases

Abstract Compensated frameshift mutation is a modification of the reading frame of a gene that takes place by way of various molecular events. It appears to be a widespread event that is only observed when homologous amino acid and nucleodotide sequences are compared. To identify these mutation events, the sequence analysis rationale was based on the search for short regions that would have much lower degrees of conservation in protein, but not in DNA, in well-conserved β-glucosidase families. We have restricted our study to a seed set of sequences of O-glycoside hydrolase families 1 and 3. We found compensated frameshift mutation in the family of 1 β-glucosidases for the Erwinia herbicola, Cellulomonas fimi, and (non-cyanogenic) Trifolium repens gene sequences, and in the family of 3 β-glucosidases for the Clostridium thermocellum and Clostridium stercorarium gene sequences. By computational treatment, the observed mutation events in the gene frameshifting sub-sequence have been neutralised. Each nucleotide insertion must be eliminated and each nucleotide deletion must be substituted by the symbol N (any nucleotide). When the frameshifting fragments of the amino acid sequences were substituted by the computationally neutralised subsequences, the β-glucosidase alignments were improved. We also discuss the structural implications of the compensated frameshift mutations events.