RPG (http://ribosome.miyazaki-med.ac.jp/) is a new database that provides detailed information about ribosomal protein (RP) genes. It contains data from humans and other organisms, including Drosophila melanogaster, Caenorhabditis elegans, Saccharo myces cerevisiae, Methanococcus jannaschii and Escherichia coli. Users can search the database by gene name and organism. Each record includes sequences (genomic, cDNA and amino acid sequences), intron/exon structures, genomic locations and information about orthologs. In addition, users can view and compare the gene structures of the above organisms and make multiple amino acid sequence alignments. RPG also provides information on small nucleolar RNAs (snoRNAs) that are encoded in the introns of RP genes.

The ribosome, as a catalyst for protein synthesis, is universal and essential for all organisms. Here we describe the structure of the genes encoding human ribosomal proteins (RPs) and compare this class of genes among several eukaryotes. Using genomic and full-length cDNA sequences, we characterized 73 RP genes and found that (1) transcription starts at a C residue within a characteristic oligopyrimidine tract; (2) the promoter region is GC rich, but often has a TATA box or similar sequence element; (3) the genes are small (4.4 kb), but have as many as 5.6 exons on average; (4) the initiator ATG is in the first or second exon and is within ± 5 bp of the first intron boundaries in about half of cases; and (5) 5Ј-and 3Ј-UTRs are significantly smaller (42 bp and 56 bp, respectively) than the genome average. Comparison of RP genes from humans, Drosophila melanogaster, Caenorhabditis elegans, and Saccharomyces cerevisiae revealed the coding sequences to be highly conserved (63% homology on average), although gene size and the number of exons vary. The positions of the introns are also conserved among these species as follows: 44% of human introns are present at the same position in either D. melanogaster or C. elegans, suggesting RP genes are highly suitable for studying the evolution of introns.[The sequence data described in this paper have been submitted to the DDBJ/EMBL/GenBank databases under accession nos. AB055762-AB055780, AB056456, AB061820-AB061859, AB062066-AB062071, and AB070559.]The ribosome is the cellular organelle responsible for protein synthesis in all cells. Recent analyses of the ribosome's structure using X-ray crystallography have enhanced our understanding of the structural basis of ribosome function (Ban et al. 2000;Schluenzen et al. 2000;Wimberly et al. 2000;Yusupov et al. 2001). In contrast, comparatively little is known about ribosome biogenesis, especially in higher eukaryotes. In mammalian cells, the biogenesis of cytoplasmic ribosomes requires assembly of 4 RNA molecules and 79 different proteins (Wool 1979). With the exception of two proteins, all of these components are present as single copies within the ribosome. Typically, mammalian cells contain ∼4 ‫ן‬ 10 6 cytoplasmic ribosomes, which account for 80% of all cellular RNA and 5%-10% of cellular proteins.Investigation of the mechanism that controls the coordinated expression of these components is a challenge. Three different RNA polymerases are involved in production of these RNAs and proteins, RNA polymerase I (POL I) is involved in production of the 28S, 18S, and 5.8S rRNAs, POL II in production of ribosomal proteins (RPs), and POL III in production of the 5S rRNA. The amino acid sequences of all rat and human RPs have been deduced (Wool et al. 1996), and the nucleotide sequences of thousands of eukaryotic rRNAs are now known (The Ribosome Database Project; Maidak et al. 2001). On the other hand, only a handful of mammalian RP genes have been studied in terms of their genomic structure. Unlike rRNAs, which are encoded by several ...

BackgroundSmall nucleolar RNAs (snoRNAs) are a class of non-coding RNAs that guide the modification of specific nucleotides in ribosomal RNAs (rRNAs) and small nuclear RNAs (snRNAs). Although most non-coding RNAs undergo post-transcriptional modifications prior to maturation, the functional significance of these modifications remains unknown. Here, we introduce the snoRNA orthological gene database (snOPY) as a tool for studying RNA modifications.FindingssnOPY provides comprehensive information about snoRNAs, snoRNA gene loci, and target RNAs. It also contains data for orthologues from various species, which enables users to analyze the evolution of snoRNA genes. In total, 13,770 snoRNA genes, 10,345 snoRNA gene loci, and 133 target RNAs have been registered. Users can search and access the data efficiently using a simple web interface with a series of internal links. snOPY is freely available on the web at http://snoopy.med.miyazaki-u.ac.jp.ConclusionssnOPY is the database that provides information about the small nucleolar RNAs and their orthologues. It will help users to study RNA modifications and snoRNA gene evolution.

RNAcentral is a database of non-coding RNA (ncRNA) sequences that aggregates data from specialised ncRNA resources and provides a single entry point for accessing ncRNA sequences of all ncRNA types from all organisms. Since its launch in 2014, RNAcentral has integrated twelve new resources, taking the total number of collaborating database to 22, and began importing new types of data, such as modified nucleotides from MODOMICS and PDB. We created new species-specific identifiers that refer to unique RNA sequences within a context of single species. The website has been subject to continuous improvements focusing on text and sequence similarity searches as well as genome browsing functionality. All RNAcentral data is provided for free and is available for browsing, bulk downloads, and programmatic access at http://rnacentral.org/.

The evolution of spliceosomal introns remains poorly understood. Although many approaches have been used to infer intron evolution from the patterns of intron position conservation, the results to date have been contradictory. In this paper, we address the problem using a novel maximum likelihood method, which allows estimation of the frequency of intron insertion target sites, together with the rates of intron gain and loss. We analyzed the pattern of 10,044 introns (7,221 intron positions) in the conserved regions of 684 sets of orthologs from seven eukaryotes. We determined that there is an average of one target site per 11.86 base pairs (bp) (95% confidence interval, 9.27 to 14.39 bp). In addition, our results showed that: (i) overall intron gains are ~25% greater than intron losses, although specific patterns vary with time and lineage; (ii) parallel gains account for ~18.5% of shared intron positions; and (iii) reacquisition following loss accounts for ~0.5% of all intron positions. Our results should assist in resolving the long-standing problem of inferring the evolution of spliceosomal introns.