The 3D rRNA modification maps database is the first general resource of information about the locations of modified nucleotides within the 3D structure of the full ribosome, with mRNA and tRNAs in the A-, P- and E-sites. The database supports analyses for several model organisms, including higher eukaryotes, and enables users to construct 3D maps for other organisms. Data are provided for human and plant (Arabidopsis) ribosomes, and for other representative organisms from eubacteria, archaea and eukarya. Additionally, the database integrates information about positions of modifications within rRNA sequences and secondary structures, as well as links to other databases and resources about modifications and their biosynthesis. Displaying positions of modified nucleotides is fully manageable. Views of each modified nucleotide are controlled by individual buttons and buttons also control the visibility of different ribosomal molecular components. A section called ‘Paint Your Own’ enables the user to create a 3D modification map for rRNA from any organism where sites of modification are known. This section also provides capabilities for visualizing nucleotides of interest in rRNA or tRNA, as well as particular amino acids in ribosomal proteins. The database can be accessed at http://people.biochem.umass.edu/fournierlab/3dmodmap/

This report presents a valuable new bioinformatics package for research on rRNA nucleotide modifications in the ribosome, especially those created by small nucleolar RNA:protein complexes (snoRNPs). The interactive service, which is not available elsewhere, enables a user to visualize the positions of pseudouridines, 29-O-methylations, and base methylations in threedimensional space in the ribosome and also in linear and secondary structure formats of ribosomal RNA. Our tools provide additional perspective on where the modifications occur relative to functional regions within the rRNA and relative to other nearby modifications. This package of new tools is presented as a major enhancement of an existing but significantly upgraded yeast snoRNA database available publicly at http://people.biochem.umass.edu/sfournier/fournierlab/snornadb/. The other key features of the enhanced database include details of the base pairing of snoRNAs with target RNAs, genomic organization of the yeast snoRNA genes, and information on corresponding snoRNAs and modifications in other model organisms.

Important regions of rRNA are rich in nucleotide modifications that can have strong effects on ribosome biogenesis and translation efficiency. Here, we examine the influence of pseudouridylation and 2′-O-methylation on translation accuracy in yeast, by deleting the corresponding guide snoRNAs. The regions analyzed were: the decoding centre (eight modifications), and two intersubunit bridge domains—the A-site finger and Helix 69 (six and five modifications). Results show that a number of modifications influence accuracy with effects ranging from 0.3- to 2.4-fold of wild-type activity. Blocking subsets of modifications, especially from the decoding region, impairs stop codon termination and reading frame maintenance. Unexpectedly, several Helix 69 mutants possess ribosomes with increased fidelity. Consistent with strong positional and synergistic effects is the finding that single deletions can have a more pronounced phenotype than multiple deficiencies in the same region. Altogether, the results demonstrate that rRNA modifications have significant roles in translation accuracy.