Exon-domain correlation and its corollaries.
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Animals↗
Biomedical subjects
Andrei Grigoriev
Publications and source records attributed to Andrei Grigoriev.
Fast parsers for Entrez Gene.
NCBI completed the transition of its main genome annotation database from Locuslink to Entrez Gene in Spring 2005. However, to this date few parsers exist for the Entrez Gene annotation file. Owing to the widespread use of Locuslink and the popularity of Perl programming language in bioinformatics, a publicly available high performance Entrez Gene parser in Perl is urgently needed. We present four such parsers that were developed using several parsing approaches (Parse::RecDescent, Parse::Yapp, Perl-byacc and Perl 5 regular expressions) and provide the first in-depth comparison of these sophisticated Perl tools. Our fastest parser processes the entire human Entrez Gene annotation file in under 12 min on one Intel Xeon 2.4 GHz CPU and can be of help to the bioinformatics community during and after the transition from Locuslink to Entrez Gene.
Algorithms↗
Significant expansion of exon-bordering protein domains during animal proteome evolution.
We present evidence of remarkable genome-wide mobility and evolutionary expansion for a class of protein domains whose borders locate close to the borders of their encoding exons. These exon-bordering domains are more numerous and widely distributed in the human genome than other domains. They also co-occur with more diverse domains to form a larger variety of domain architectures in human proteins. A systematic comparison of nine animal genomes from nematodes to mammals revealed that exon-bordering domains expanded faster than other protein domains in both abundance and distribution, as well as the diversity of co-occurring domains and the domain architectures of harboring proteins. Furthermore, exon-bordering domains exhibited a particularly strong preference for class 1-1 intron phase. Our findings suggest that exon-bordering domains were amplified and interchanged within a genome more often and/or more successfully than other domains during evolution, probably the result of extensive exon shuffling and gene duplication events. The diverse biological functions of these domains underscore the important role they play in the expansion and diversification of animal proteomes.
Animals↗
Identification and autonomous replication capability of a chromosomal replication origin from the archaeon Sulfolobus solfataricus.
Here, we describe the identification of a chromosomal DNA replication origin (oriC) from the hyperthermophilic archaeon Sulfolobus solfataricus (subdomain of Crenarchaeota). By means of a cumulative GC-skew analysis of the Sulfolobus genome sequence, a candidate oriC was mapped within a 1.12-kb region located between the two divergently transcribed MCM- and cdc6-like genes. We demonstrated that plasmids containing the Sulfolobus oriC sequence and a hygromycin-resistance selectable marker were maintained in an episomal state in transformed S. solfataricus cells under selective pressure. The proposed location of the origin was confirmed by 2-D gel electrophoresis experiments. This is the first report on the functional cloning of a chromosomal oriC from an archaeon and represents an important step toward the reconstitution of an archaeal in vitro DNA replication system.
Archaea↗
Mutational patterns correlate with genome organization in SARS and other coronaviruses.
Focused efforts by several international laboratories have resulted in the sequencing of the genome of the causative agent of severe acute respiratory syndrome (SARS), novel coronavirus SARS-CoV, in record time. Using cumulative skew diagrams, I found tht mutational patterns in the SARS-CoV genome were strikingly different from other coronaviruses in terms of mutation rates, although they were in general agreement with the model of the coronavirus lifecycle. These findings might be relevant for the development of sequence-based diagnostics and the design of agents to treat SARS.
Coronavirus↗
Protein domains correlate strongly with exons in multiple eukaryotic genomes--evidence of exon shuffling?
We conducted a multi-genome analysis correlating protein domain organization with the exon-intron structure of genes in nine eukaryotic genomes. We observed a significant correlation between the borders of exons and domains on a genomic scale for both invertebrates and vertebrates. In addition, we found that the more complex organisms displayed consistently stronger exon-domain correlation, with substantially more significant correlations detected in vertebrates compared with invertebrates. Our observations concur with the principles of exon shuffling theory, including the prediction of predominantly symmetric phase of introns flanking the borders of correlating exons. These results suggest that extensive exon shuffling events during evolution significantly contributed to the shaping of eukaryotic proteomes.
Amino Acid Sequence↗
Understanding the yeast proteome: a bioinformatics perspective.
Rapid development of genomic and proteomic methodologies has provided a wealth of data for deciphering the biomolecular circuitry of a living cell. The main areas of computational research of proteomes outlined in this review are: understanding the system, its features and parameters to help plan the experiments; data integration, to help produce more reliable data sets; visualization and other forms of data representation to simplify interpretation; modeling of the functional regulation; and systems biology. With false-positive rates reaching 50% even in the more reliable data sets, handling the experimental error remains one of the most challenging tasks. Integrative approaches, incorporating results of various genome- and proteome-wide experiments, allow for minimizing the error and bring with them significant predictive power.
Computational Biology↗
On the number of protein-protein interactions in the yeast proteome.
Using two different approaches, we estimated that on average there are about five interacting partners per protein in the proteome of the yeast Saccharomyces cerevisiae. In the first approach, we used a novel method to model sampling overlap by a Bernoulli process, compared the results of two independent yeast two-hybrid interaction screens and tested the robustness of the estimate. The most stable estimate of five interactors per protein was obtained when the three most highly connected nodes in the protein interaction network were removed from the analysis (eight interactors per protein if those nodes were kept). In the second approach, we analysed a published high-confidence subset of putative interaction data obtained from multiple sources, including large-scale two-hybrid screens, complex purifications, synthetic lethals, correlated gene expression, computational predictions and previous annotations. Strikingly, the estimate was again five interactors per protein. These estimates suggest a range of approximately 16,000-26,000 different interaction pairs in the yeast, excluding homotypic interactions. We also discuss the approaches to estimating the rate of homotypic interactions.
Protein Binding↗
Codon and amino acid usage in retroviral genomes is consistent with virus-specific nucleotide pressure.
Retroviral RNA genomes are known to have a biased nucleotide composition. For instance, the plus-strand RNA of human immunodeficiency virus (HIV) is A-rich, and the genome of human T cell leukemia virus (HTLV) is C-rich, and other retroviruses have a U-rich or G-rich genome. The biased composition of these genomes is most likely caused by directional mutational pressure of the respective reverse transcriptase enzymes. Using a set of retroviral genomes with a distinct nucleotide composition, we performed skew analyses of the nucleotide bias along the complete viral genome. Distinct nucleotide signatures were apparent, and these typical patterns were generally conserved across the viral genome. Furthermore, it is demonstrated that this typical nucleotide bias, combined with a profound discrimination against the CpG dinucleotide sequence, strongly influences the codon usage of the retroviruses in a direct manner, and their amino acid usage in an indirect manner. The fact that both codon usage and amino acid usage are so closely entwined with the genome composition has important practical implications. For instance, the typical trends in nucleotide usage could influence the molecular phylogenetic reconstruction of the family Retroviridae.
Amino Acids↗