Alexander V. Sverdlov

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BACKGROUND The availability of multiple, essentially complete genome sequences of prokaryotes and eukaryotes spurred both the demand and the opportunity for the construction of an evolutionary classification of genes from these genomes. Such a classification system based on orthologous relationships between genes appears to be a natural framework for(More)
BACKGROUND Sequencing the genomes of multiple, taxonomically diverse eukaryotes enables in-depth comparative-genomic analysis which is expected to help in reconstructing ancestral eukaryotic genomes and major events in eukaryotic evolution and in making functional predictions for currently uncharacterized conserved genes. RESULTS We examined functional(More)
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(More)
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(More)
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(More)
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(More)
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