Biomedical subjects

Vladimir N Babenko

Publications and source records attributed to Vladimir N Babenko.

11 recordsLinked to original sources

PubMed2006

Signs of positive selection of somatic mutations in human cancers detected by EST sequence analysis.

BACKGROUND: Carcinogenesis typically involves multiple somatic mutations in caretaker (DNA repair) and gatekeeper (tumor suppressors and oncogenes) genes. Analysis of mutation spectra of the tumor suppressor that is most commonly mutated in human cancers, p53, unexpectedly suggested that somatic evolution of the p53 gene during tumorigenesis is dominated by positive selection for gain of function. This conclusion is supported by accumulating experimental evidence of evolution of new functions of p53 in tumors. These findings prompted a genome-wide analysis of possible positive selection during tumor evolution. METHODS: A comprehensive analysis of probable somatic mutations in the sequences of Expressed Sequence Tags (ESTs) from malignant tumors and normal tissues was performed in order to access the prevalence of positive selection in cancer evolution. For each EST, the numbers of synonymous and non-synonymous substitutions were calculated. In order to identify genes with a signature of positive selection in cancers, these numbers were compared to: i) expected numbers and ii) the numbers for the respective genes in the ESTs from normal tissues. RESULTS: We identified 112 genes with a signature of positive selection in cancers, i.e., a significantly elevated ratio of non-synonymous to synonymous substitutions, in tumors as compared to 37 such genes in an approximately equal-sized EST collection from normal tissues. A substantial fraction of the tumor-specific positive-selection candidates have experimentally demonstrated or strongly predicted links to cancer. CONCLUSION: The results of EST analysis should be interpreted with extreme caution given the noise introduced by sequencing errors and undetected polymorphisms. Furthermore, an inherent limitation of EST analysis is that multiple mutations amenable to statistical analysis can be detected only in relatively highly expressed genes. Nevertheless, the present results suggest that positive selection might affect a substantial number of genes during tumorigenic somatic evolution.

Amino Acid Sequence↗

PubMed2006

Mutational hotspots in the TP53 gene and, possibly, other tumor suppressors evolve by positive selection.

BACKGROUND: The mutation spectra of the TP53 gene and other tumor suppressors contain multiple hotspots, i.e., sites of non-random, frequent mutation in tumors and/or the germline. The origin of the hotspots remains unclear, the general view being that they represent highly mutable nucleotide contexts which likely reflect effects of different endogenous and exogenous factors shaping the mutation process in specific tissues. The origin of hotspots is of major importance because it has been suggested that mutable contexts could be used to infer mechanisms of mutagenesis contributing to tumorigenesis. RESULTS: Here we apply three independent tests, accounting for non-uniform base compositions in synonymous and non-synonymous sites, to test whether the hotspots emerge via selection or due to mutational bias. All three tests consistently indicate that the hotspots in the TP53 gene evolve, primarily, via positive selection. The results were robust to the elimination of the highly mutable CpG dinucleotides. By contrast, only one, the least conservative test reveals the signature of positive selection in BRCA1, BRCA2, and p16. Elucidation of the origin of the hotspots in these genes requires more data on somatic mutations in tumors. CONCLUSION: The results of this analysis seem to indicate that positive selection for gain-of-function in tumor suppressor genes is an important aspect of tumorigenesis, blurring the distinction between tumor suppressors and oncogenes. REVIEWERS: This article was reviewed by Sandor Pongor, Christopher Lee and Mikhail Blagosklonny.

Journal Article↗

PubMed2005

Evolutionary conservation suggests a regulatory function of AUG triplets in 5'-UTRs of eukaryotic genes.

By comparing sequences of human, mouse and rat orthologous genes, we show that in 5'-untranslated regions (5'-UTRs) of mammalian cDNAs but not in 3'-UTRs or coding sequences, AUG is conserved to a significantly greater extent than any of the other 63 nt triplets. This effect is likely to reflect, primarily, bona fide evolutionary conservation, rather than cDNA annotation artifacts, because the excess of conserved upstream AUGs (uAUGs) is seen in 5'-UTRs containing stop codons in-frame with the start AUG and many of the conserved AUGs are found in different frames, consistent with the location in authentic non-coding sequences. Altogether, conserved uAUGs are present in at least 20-30% of mammalian genes. Qualitatively similar results were obtained by comparison of orthologous genes from different species of the yeast genus Saccharomyces. Together with the observation that mammalian and yeast 5'-UTRs are significantly depleted in overall AUG content, these findings suggest that AUG triplets in 5'-UTRs are subject to the pressure of purifying selection in two opposite directions: the uAUGs that have no specific function tend to be deleterious and get eliminated during evolution, whereas those uAUGs that do serve a function are conserved. Most probably, the principal role of the conserved uAUGs is attenuation of translation at the initiation stage, which is often additionally regulated by alternative splicing in the mammalian 5'-UTRs. Consistent with this hypothesis, we found that open reading frames starting from conserved uAUGs are significantly shorter than those starting from non-conserved uAUGs, possibly, owing to selection for optimization of the level of attenuation.

5' Untranslated Regions↗

PubMed2005

Conservation versus parallel gains in intron evolution.

Orthologous genes from distant eukaryotic species, e.g. animals and plants, share up to 25-30% intron positions. However, the relative contributions of evolutionary conservation and parallel gain of new introns into this pattern remain unknown. Here, the extent of independent insertion of introns in the same sites (parallel gain) in orthologous genes from phylogenetically distant eukaryotes is assessed within the framework of the protosplice site model. It is shown that protosplice sites are no more conserved during evolution of eukaryotic gene sequences than random sites. Simulation of intron insertion into protosplice sites with the observed protosplice site frequencies and intron densities shows that parallel gain can account but for a small fraction (5-10%) of shared intron positions in distantly related species. Thus, the presence of numerous introns in the same positions in orthologous genes from distant eukaryotes, such as animals, fungi and plants, appears to reflect mostly bona fide evolutionary conservation.

Animals↗

PubMed2005

Analysis of evolution of exon-intron structure of eukaryotic genes.

The availability of multiple, complete eukaryotic genome sequences allows one to address many fundamental evolutionary questions on genome scale. One such important, long-standing problem is evolution of exon-intron structure of eukaryotic genes. Analysis of orthologous genes from completely sequenced genomes revealed numerous shared intron positions in orthologous genes from animals and plants and even between animals, plants and protists. The data on shared and lineage-specific intron positions were used as the starting point for evolutionary reconstruction with parsimony and maximum-likelihood approaches. Parsimony methods produce reconstructions with intron-rich ancestors but also infer lineage-specific, in many cases, high levels of intron loss and gain. Different probabilistic models gave opposite results, apparently depending on model parameters and assumptions, from domination of intron loss, with extremely intron-rich ancestors, to dramatic excess of gains, to the point of denying any true conservation of intron positions among deep eukaryotic lineages. Development of models with adequate, realistic parameters and assumptions seems to be crucial for obtaining more definitive estimates of intron gain and loss in different eukaryotic lineages. Many shared intron positions were detected in ancestral eukaryotic paralogues which evolved by duplication prior to the divergence of extant eukaryotic lineages. These findings indicate that numerous introns were present in eukaryotic genes already at the earliest stages of evolution of eukaryotes and are compatible with the hypothesis that the original, catastrophic intron invasion accompanied the emergence of the eukaryotic cells. Comparison of various features of old and younger introns starts shedding light on probable mechanisms of intron insertion, indicating that propagation of old introns is unlikely to be a major mechanism for origin of new ones. The existence and structure of ancestral protosplice sites were addressed by examining the context of introns inserted within codons that encode amino acids conserved in all eukaryotes and, accordingly, are not subject to selection for splicing efficiency. It was shown that introns indeed predominantly insert into or are fixed in specific protosplice sites which have the consensus sequence (A/C)AG|Gt.

Animals↗

PubMed2004

Comparative analysis of complete genomes reveals gene loss, acquisition and acceleration of evolutionary rates in Metazoa, suggests a prevalence of evolution via gene acquisition and indicates that the evolutionary rates in animals tend to be conserved.

In this study we systematically examined the differences between the proteomes of Metazoa and other eukaryotes. Metazoans (Homo sapiens, Ceanorhabditis elegans and Drosophila melanogaster) were compared with a plant (Arabidopsis thaliana), fungi (Saccharomyces cerevisiae and Schizosaccaromyces pombe) and Encephalitozoan cuniculi. We identified 159 gene families that were probably lost in the Metazoan branch and 1263 orthologous families that were specific to Metazoa and were likely to have originated in their last common ancestor (LCA). We analyzed the evolutionary rates of pan-eukaryotic protein families and identified those with higher rates in animals. The acceleration was shown to occur in: (i) the LCA of Metazoa or (ii) independently in the Metazoan phyla. A high proportion of the accelerated Metazoan protein families was found to participate in translation and ribosome biogenesis, particularly mitochondrial. By functional analysis we show that no metabolic pathway in animals evolved faster than in other organisms. We conclude that evolution in the LCA of Metazoa was extensive and proceeded largely by gene duplication and/or invention rather than by modification of extant proteins. Finally, we show that the rate of evolution of a gene family in animals has a clear, but not absolute, tendency to be conserved.

Animals↗

PubMed2004

Reconstruction of ancestral protosplice sites.

Most of the eukaryotic protein-coding genes are interrupted by multiple introns. A substantial fraction of introns occupy the same position in orthologous genes from distant eukaryotes, such as plants and animals, and consequently are inferred to have been inherited from the common ancestor of these organisms. In contrast to these conserved introns, many other introns appear to have been gained during evolution of each major eukaryotic lineage. The mechanism(s) of insertion of new introns into genes remains unknown. Because the nucleotides that flank splice junctions are nonrandom, it has been proposed that introns are preferentially inserted into specific target sequences termed protosplice sites. However, it remains unclear whether the consensus nucleotides flanking the splice junctions are remnants of the original protosplice sites or if they evolved convergently after intron insertion. Here, we directly address the existence of protosplice sites by examining the context of introns inserted within codons that encode amino acids conserved in all eukaryotes and accordingly are not subject to selection for splicing efficiency. We show that introns are either predominantly inserted into specific protosplice sites, which have the consensus sequence (A/C)AG/Gt, or that they are inserted randomly but are preferentially fixed at such sites.

Amino Acid Sequence↗

PubMed2004

Preferential loss and gain of introns in 3' portions of genes suggests a reverse-transcription mechanism of intron insertion.

In an attempt to gain insight into the dynamics of intron evolution in eukaryotic protein-coding genes, the distributions of old introns, that are conserved between distant phylogenetic lineages, and new, lineage-specific introns along the gene length, were examined. A significant excess of old introns in 5'-regions of genes was detected. New introns, when analyzed in bulk, showed a nearly flat distribution from the 5'- to the 3'-end. However, analysis of new intron distributions in individual genomes revealed notable lineage-specific features. While in intron-poor genomes, particularly yeast Schizosaccharomyces pombe (Sp), the 5'-portions of genes contain a significantly greater number of new introns than the 3'-portions, the intron-rich genomes of humans and Arabidopsis show the opposite trend. These observations seem to be compatible with the view that introns are both lost and inserted in 3'-terminal portions of genes more often than in 5'-portions. Overrepresentation of 3'-terminal sequences among cDNAs that mediate intron loss appears to be the most likely explanation for the apparent preferential loss of introns in the distal parts of genes. Preferential insertion of introns in the 3'-portions suggests that introns might be inserted via a reverse-transcription-mediated pathway similar to that implicated in intron loss. This mechanism could involve duplication of a portion of the coding region during reverse transcription followed by homologous recombination and subsequent rapid sequence divergence in the copy that becomes a new intron.

Animals↗

PubMed2004

Prevalence of intron gain over intron loss in the evolution of paralogous gene families.

The mechanisms and evolutionary dynamics of intron insertion and loss in eukaryotic genes remain poorly understood. Reconstruction of parsimonious scenarios of gene structure evolution in paralogous gene families in animals and plants revealed numerous gains and losses of introns. In all analyzed lineages, the number of acquired new introns was substantially greater than the number of lost ancestral introns. This trend held even for lineages in which vertical evolution of genes involved more intron losses than gains, suggesting that gene duplication boosts intron insertion. However, dating gene duplications and the associated intron gains and losses based on the molecular clock assumption showed that very few, if any, introns were gained during the last approximately 100 million years of animal and plant evolution, in agreement with previous conclusions reached through analysis of orthologous gene sets. These results are generally compatible with the emerging notion of intensive insertion and loss of introns during transitional epochs in contrast to the relative quiet of the intervening evolutionary spans.

Amino Acid Sequence↗

PubMed2003

Evidence of splice signal migration from exon to intron during intron evolution.

A comparison of the nucleotide sequences around the splice junctions that flank old (shared by two or more major lineages of eukaryotes) and new (lineage-specific) introns in eukaryotic genes reveals substantial differences in the distribution of information between introns and exons. Old introns have a lower information content in the exon regions adjacent to the splice sites than new introns but have a corresponding higher information content in the intron itself. This suggests that introns insert into nonrandom (proto-splice) sites but, during the evolution of an intron after insertion, the splice signal shifts from the flanking exon regions to the ends of the intron itself. Accumulation of information inside the intron during evolution suggests that new introns largely emerge de novo rather than through propagation and migration of old introns.

Base Composition↗

PubMed2003

Computational analysis of mutation spectra.

Mutation frequencies vary along a nucleotide sequence, and nucleotide positions with an exceptionally high mutation frequency are called hotspots. Mutation hotspots in DNA often reflect intrinsic properties of the mutation process, such as the specificity with which mutagens interact with nucleic acids and the sequence-specificity of DNA repair/replication enzymes. They might also reflect structural and functional features of target protein or RNA sequences in which they occur. The determinants of mutation frequency and specificity are complex and there are many analytical methods for their study. This paper discusses computational approaches to analysing mutation spectra (distribution of mutations along the target genes) that include many detectable (mutable) positions. The following methods are reviewed: mutation hotspot prediction; pairwise and multiple comparisons of mutation spectra; derivation of a consensus sequence; and analysis of correlation between nucleotide sequence features and mutation spectra. Spectra of spontaneous and induced mutations are used for illustration of the complexities and pitfalls of such analyses. In general, the DNA sequence context of mutation hotspots is a fingerprint of interactions between DNA and DNA repair/replication/modification enzymes, and the analysis of hotspot context provides evidence of such interactions.

Amino Acid Motifs↗