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Identification of physicochemical selective pressure on protein encoding nucleotide sequences.

ABSTRACT: Statistical methods for identifying positively selected sites in protein coding regions are one of the most commonly used tools in evolutionary bioinformatics. However, they have been limited by not taking the physiochemical properties of amino acids into account.We develop a new codon-based likelihood model for detecting site-specific selection pressures acting on specific physicochemical properties. Nonsynonymous substitutions are divided into substitutions that differ with respect to the physicochemical properties of interest, and those that do not. The substitution rates of these two types of changes, relative to the synonymous substitution rate, are then described by two parameters, gamma and omega respectively. The new model allows us to perform likelihood ratio tests for positive selection acting on specific physicochemical properties of interest. The new method is first used to analyze simulated data and is shown to have good power and accuracy in detecting physicochemical selective pressure. We then re-analyze data from the class-I alleles of the human Major Histocompatibility Complex (MHC) and from the abalone sperm lysine.Our new method allows a more flexible framework to identify selection pressure on particular physicochemical properties.

SUBMITTER: Wong WS

PROVIDER: S-EPMC1431568 | biostudies-literature | 2006 Mar

REPOSITORIES: biostudies-literature

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Identification of physicochemical selective pressure on protein encoding nucleotide sequences.

Wong Wendy S W WS Sainudiin Raazesh R Nielsen Rasmus R

BMC bioinformatics 20060316

<h4>Background</h4>Statistical methods for identifying positively selected sites in protein coding regions are one of the most commonly used tools in evolutionary bioinformatics. However, they have been limited by not taking the physiochemical properties of amino acids into account.<h4>Results</h4>We develop a new codon-based likelihood model for detecting site-specific selection pressures acting on specific physicochemical properties. Nonsynonymous substitutions are divided into substitutions t ...[more]

PMID: 16542458

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Project description:Studies of the genetic base and polymorphism of bread wheat cultivars aimed at identifying alleles of genes associated with high baking and other economically valuable traits seem to be relevant, since bread wheat, along with all representatives of the Triticeae tribe, has a huge genetic potential for creating cultivars with high technological and rheological properties of grain flour. The aim of this study was sequencing and analysis of the nucleotide sequences of the Glu-B1-1 gene, and analysis of the predicted amino acid sequences of its protein product in three cultivars of bread wheat. Thus, in the course of genotyping cultivars and lines of bread wheat for the Glu-B1-1 gene, in the cultivars 'Avesta', 'Leningradka krupnozernaya' and line C-75094, previously undescribed changes in the size of amplifiable regions of the Glu-B1-1 gene for high-molecular weight glutenins were found. Comparative analysis of the nucleotide sequences of these genes with known sequences showed the presence of two deletions in 'Avesta' and C-75094 and the presence of seven single-nucleotide substitutions in 'Leningradka krupnozernaya'. Alignment of the predicted Glu-B1 amino acid sequences of the studied accessions and the standard cultivar carrying the Glu-B1-a allele showed that deletions in the amino acid sequences of 'Avesta' and C-75094 accessions are localized in the central domain of the protein and affect the amount of tri-, hexa-, and nonapeptides, and in 'Leningradka krupnozernaya', a decrease in GQQ and PGQGQQ by one unit was revealed. In addition, substitutions of five amino acids were found in 'Leningradka krupnozernaya'. Thus, we have found previously undescribed deletions and substitutions in the nucleotide sequences of the Glu-B1-1 gene for high-molecular-weight glutenins, which lead to changes in amino acid sequences in functionally important regions, namely, in the central domains of protein molecules. The identified mutations can be used for genotyping bread wheat cultivars.

Project description:BackgroundMicroRNAs (miRNAs) are highly conserved, short (18-22 nts), non-coding RNA molecules that regulate gene expression by binding to the 3' untranslated regions (3'UTRs) of mRNAs. While numerous cellular microRNAs have been associated with the progression of various diseases including cancer, miRNAs associated with retroviruses have not been well characterized. Herein we report identification of microRNA-like sequences in coding regions of several HIV-1 genomes.ResultsBased on our earlier proteomics and bioinformatics studies, we have identified 8 cellular miRNAs that are predicted to bind to the mRNAs of multiple proteins that are dysregulated during HIV-infection of CD4+ T-cells in vitro. In silico analysis of the full length and mature sequences of these 8 miRNAs and comparisons with all the genomic and subgenomic sequences of HIV-1 strains in global databases revealed that the first 18/18 sequences of the mature hsa-miR-195 sequence (including the short seed sequence), matched perfectly (100%), or with one nucleotide mismatch, within the envelope (env) genes of five HIV-1 genomes from Africa. In addition, we have identified 4 other miRNA-like sequences (hsa-miR-30d, hsa-miR-30e, hsa-miR-374a and hsa-miR-424) within the env and the gag-pol encoding regions of several HIV-1 strains, albeit with reduced homology. Mapping of the miRNA-homologues of env within HIV-1 genomes localized these sequence to the functionally significant variable regions of the env glycoprotein gp120 designated V1, V2, V4 and V5.ConclusionsWe conclude that microRNA-like sequences are embedded within the protein-encoding regions of several HIV-1 genomes. Given that the V1 to V5 regions of HIV-1 envelopes contain specific, well-characterized domains that are critical for immune responses, virus neutralization and disease progression, we propose that the newly discovered miRNA-like sequences within the HIV-1 genomes may have evolved to self-regulate survival of the virus in the host by evading innate immune responses and therefore influencing persistence, replication and/or pathogenicity.

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Identification of physicochemical selective pressure on protein encoding nucleotide sequences.

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Identification of physicochemical selective pressure on protein encoding nucleotide sequences.

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