Biomedical subjects

Robin R Gutell

Publications and source records attributed to Robin R Gutell.

10 recordsLinked to original sources

PubMed2006

The UAA/GAN internal loop motif: a new RNA structural element that forms a cross-strand AAA stack and long-range tertiary interactions.

Analysis of aligned RNA sequences and high-resolution crystal structures has revealed a new RNA structural element, termed the UAA/GAN motif. Found in internal loops of the 23 S rRNA, as well as in RNase P RNA and group I and II introns, this six-nucleotide motif adopts a distinctive local structure that includes two base-pairs with non-canonical conformations and three conserved adenine bases, which form a cross-strand AAA stack in the minor groove. Most importantly, the motif invariably forms long-range tertiary contacts, as the AAA stack typically forms A-minor interactions and the flipped-out N nucleotide forms additional contacts that are specific to the structural context of each loop. The widespread presence of this motif and its propensity to form long-range contacts suggest that it plays a critical role in defining the architectures of structured RNAs.

Bacterial Proteins↗

PubMed2006

A structural model for the large subunit of the mammalian mitochondrial ribosome.

Protein translation is essential for all forms of life and is conducted by a macromolecular complex, the ribosome. Evolutionary changes in protein and RNA sequences can affect the 3D organization of structural features in ribosomes in different species. The most dramatic changes occur in animal mitochondria, whose genomes have been reduced and altered significantly. The RNA component of the mitochondrial ribosome (mitoribosome) is reduced in size, with a compensatory increase in protein content. Until recently, it was unclear how these changes affect the 3D structure of the mitoribosome. Here, we present a structural model of the large subunit of the mammalian mitoribosome developed by combining molecular modeling techniques with cryo-electron microscopic data at 12.1A resolution. The model contains 93% of the mitochondrial rRNA sequence and 16 mitochondrial ribosomal proteins in the large subunit of the mitoribosome. Despite the smaller mitochondrial rRNA, the spatial positions of RNA domains known to be involved directly in protein synthesis are essentially the same as in bacterial and archaeal ribosomes. However, the dramatic reduction in rRNA content necessitates evolution of unique structural features to maintain connectivity between RNA domains. The smaller rRNA sequence also limits the likelihood of tRNA binding at the E-site of the mitoribosome, and correlates with the reduced size of D-loops and T-loops in some animal mitochondrial tRNAs, suggesting co-evolution of mitochondrial rRNA and tRNA structures.

Animals↗

PubMed2004

Diversity of base-pair conformations and their occurrence in rRNA structure and RNA structural motifs.

In addition to the canonical base-pairs comprising the standard Watson-Crick (C:G and U:A) and wobble U:G conformations, an analysis of the base-pair types and conformations in the rRNAs in the high-resolution crystal structures of the Thermus thermophilus 30S and Haloarcula marismortui 50S ribosomal subunits has identified a wide variety of non-canonical base-pair types and conformations. However, the existing nomenclatures do not describe all of the observed non-canonical conformations or describe them with some ambiguity. Thus, a standardized system is required to classify all of these non-canonical conformations appropriately. Here, we propose a new, simple and systematic nomenclature that unambiguously classifies base-pair conformations occurring in base-pairs, base-triples and base-quadruples that are associated with secondary and tertiary interactions. This system is based on the topological arrangement of the two bases and glycosidic bonds in a given base-pair. Base-pairs in the internal positions of regular secondary structure helices usually form with canonical base-pair groups (C:G, U:A, and U:G) and canonical conformations (C:G WC, U:A WC, and U:G Wb). In contrast, non-helical base-pairs outside of regular structure helices usually have non-canonical base-pair groups and conformations. In addition, many non-helical base-pairs are involved in RNA motifs that form a defined set of non-canonical conformations. Thus, each rare non-canonical conformation may be functionally and structurally important. Finally, the topology-based isostericity of base-pair conformations can rationalize base-pair exchanges in the evolution of RNA molecules.

Base Pairing↗

PubMed2004

Evaluation of the suitability of free-energy minimization using nearest-neighbor energy parameters for RNA secondary structure prediction.

BACKGROUND: A detailed understanding of an RNA's correct secondary and tertiary structure is crucial to understanding its function and mechanism in the cell. Free energy minimization with energy parameters based on the nearest-neighbor model and comparative analysis are the primary methods for predicting an RNA's secondary structure from its sequence. Version 3.1 of Mfold has been available since 1999. This version contains an expanded sequence dependence of energy parameters and the ability to incorporate coaxial stacking into free energy calculations. We test Mfold 3.1 by performing the largest and most phylogenetically diverse comparison of rRNA and tRNA structures predicted by comparative analysis and Mfold, and we use the results of our tests on 16S and 23S rRNA sequences to assess the improvement between Mfold 2.3 and Mfold 3.1. RESULTS: The average prediction accuracy for a 16S or 23S rRNA sequence with Mfold 3.1 is 41%, while the prediction accuracies for the majority of 16S and 23S rRNA structures tested are between 20% and 60%, with some having less than 20% prediction accuracy. The average prediction accuracy was 71% for 5S rRNA and 69% for tRNA. The majority of the 5S rRNA and tRNA sequences have prediction accuracies greater than 60%. The prediction accuracy of 16S rRNA base-pairs decreases exponentially as the number of nucleotides intervening between the 5' and 3' halves of the base-pair increases. CONCLUSION: Our analysis indicates that the current set of nearest-neighbor energy parameters in conjunction with the Mfold folding algorithm are unable to consistently and reliably predict an RNA's correct secondary structure. For 16S or 23S rRNA structure prediction, Mfold 3.1 offers little improvement over Mfold 2.3. However, the nearest-neighbor energy parameters do work well for shorter RNA sequences such as tRNA or 5S rRNA, or for larger rRNAs when the contact distance between the base-pairs is less than 100 nucleotides.

Base Sequence↗

PubMed2003

The exon context and distribution of Euascomycetes rRNA spliceosomal introns.

BACKGROUND: We have studied spliceosomal introns in the ribosomal (r)RNA of fungi to discover the forces that guide their insertion and fixation. RESULTS: Comparative analyses of flanking sequences at 49 different spliceosomal intron sites showed that the G - intron - G motif is the conserved flanking sequence at sites of intron insertion. Information analysis showed that these rRNA introns contain significant information in the flanking exons. Analysis of all rDNA introns in the three phylogenetic domains and two organelles showed that group I introns are usually located after the most conserved sites in rRNA, whereas spliceosomal introns occur at less conserved positions. The distribution of spliceosomal and group I introns in the primary structure of small and large subunit rRNAs was tested with simulations using the broken-stick model as the null hypothesis. This analysis suggested that the spliceosomal and group I intron distributions were not produced by a random process. Sequence upstream of rRNA spliceosomal introns was significantly enriched in G nucleotides. We speculate that these G-rich regions may function as exonic splicing enhancers that guide the spliceosome and facilitate splicing. CONCLUSIONS: Our results begin to define some of the rules that guide the distribution of rRNA spliceosomal introns and suggest that the exon context is of fundamental importance in intron fixation.

Ascomycota↗

PubMed2003

The lonepair triloop: a new motif in RNA structure.

The lonepair triloop (LPTL) is an RNA structural motif that contains a single ("lone") base-pair capped by a hairpin loop containing three nucleotides. The two nucleotides immediately outside of this motif (5' and 3' to the lonepair) are not base-paired to one another, restricting the length of this helix to a single base-pair. Four examples of this motif, along with three tentative examples, were initially identified in the 16S and 23S rRNAs with covariation analysis. An evaluation of the recently determined crystal structures of the Thermus thermophilus 30S and Haloarcula marismortui 50S ribosomal subunits revealed the authenticity for all of these proposed interactions and identified 16 more LPTLs in the 5S, 16S and 23S rRNAs. This motif is found in the T loop in the tRNA crystal structures. The lonepairs are positioned, in nearly all examples, immediately 3' to a regular secondary structure helix and are stabilized by coaxial stacking onto this flanking helix. In all but two cases, the nucleotides in the triloop are involved in a tertiary interaction with another section of the rRNA, establishing an overall three-dimensional function for this motif. Of these 24 examples, 14 occur in multi-stem loops, seven in hairpin loops and three in internal loops. While the most common lonepair, U:A, occurs in ten of the 24 LPTLs, the remaining 14 LPTLs contain seven different base-pair types. Only a few of these lonepairs adopt the standard Watson-Crick base-pair conformations, while the majority of the base-pairs have non-standard conformations. While the general three-dimensional conformation is similar for all examples of this motif, characteristic differences lead to several subtypes present in different structural environments. At least one triloop nucleotide in 22 of the 24 LPTLs in the rRNAs and tRNAs forms a tertiary interaction with another part of the RNA. When a LPTL containing the GNR or UYR triloop sequence forms a tertiary interaction with the first (and second) triloop nucleotide, it recruits a fourth nucleotide to mediate stacking and mimic the tetraloop conformation. Approximately half of the LPTL motifs are in close association with proteins. The majority of these LPTLs are positioned at sites in rRNAs that are conserved in the three phylogenetic domains; a few of these occur in regions of the rRNA associated with ribosomal function, including the presumed site of peptidyl transferase activity in the 23S rRNA.

Base Pairing↗

PubMed2003

ITS secondary structure derived from comparative analysis: implications for sequence alignment and phylogeny of the Asteraceae.

An RNA secondary structure model is presented for the nuclear ribosomal internal transcribed spacers (ITS) based on comparative analysis of 340 sequences from the angiosperm family Asteraceae. The model based on covariation analysis agrees with structural features proposed in previous studies using mainly thermodynamic criteria and provides evidence for additional structural motifs within ITS1 and ITS2. The minimum structure model suggests that at least 20% of ITS1 and 38% of ITS2 nucleotide positions are involved in base pairing to form helices. The sequence alignment enabled by conserved structural features provides a framework for broadscale molecular evolutionary studies and the first family-level phylogeny of the Asteraceae based on nuclear DNA data. The phylogeny based on ITS sequence data is very well resolved and shows considerable congruence with relationships among major lineages of the family suggested by chloroplast DNA studies, including a monophyletic subfamily Asteroideae and a paraphyletic subfamily Cichorioideae. Combined analyses of ndhF and ITS sequences provide additional resolution and support for relationships in the family.

Asteraceae↗

PubMed2002

Modeling a minimal ribosome based on comparative sequence analysis.

We have determined the three-dimensional organization of ribosomal RNAs and proteins essential for minimal ribosome function. Comparative sequence analysis identifies regions of the ribosome that have been evolutionarily conserved, and the spatial organization of conserved domains is determined by mapping these onto structures of the 30S and 50S subunits determined by X-ray crystallography. Several functional domains of the ribosome are conserved in their three-dimensional organization in the Archaea, Bacteria, Eucaryotic nuclear, mitochondria and chloroplast ribosomes. In contrast, other regions from both subunits have shifted their position in three-dimensional space during evolution, including the L11 binding domain and the alpha-sarcin-ricin loop (SRL). We examined conserved bridge interactions between the two ribosomal subunits, giving an indication of which contacts are more significant. The tRNA contacts that are conserved were also determined, highlighting functional interactions as the tRNA moves through the ribosome during protein synthesis. To augment these studies of a large collection of comparative structural models sampled from all major branches on the phylogenetic tree, Caenorhabditis elegans mitochondrial rRNA is considered individually because it is among the smallest rRNA sequences known. The C.elegans model supports the large collection of comparative structure models while providing insight into the evolution of mitochondrial ribosomes.

Animals↗

PubMed2002

The comparative RNA web (CRW) site: an online database of comparative sequence and structure information for ribosomal, intron, and other RNAs.

BACKGROUND: Comparative analysis of RNA sequences is the basis for the detailed and accurate predictions of RNA structure and the determination of phylogenetic relationships for organisms that span the entire phylogenetic tree. Underlying these accomplishments are very large, well-organized, and processed collections of RNA sequences. This data, starting with the sequences organized into a database management system and aligned to reveal their higher-order structure, and patterns of conservation and variation for organisms that span the phylogenetic tree, has been collected and analyzed. This type of information can be fundamental for and have an influence on the study of phylogenetic relationships, RNA structure, and the melding of these two fields. RESULTS: We have prepared a large web site that disseminates our comparative sequence and structure models and data. The four major types of comparative information and systems available for the three ribosomal RNAs (5S, 16S, and 23S rRNA), transfer RNA (tRNA), and two of the catalytic intron RNAs (group I and group II) are: (1) Current Comparative Structure Models; (2) Nucleotide Frequency and Conservation Information; (3) Sequence and Structure Data; and (4) Data Access Systems. CONCLUSIONS: This online RNA sequence and structure information, the result of extensive analysis, interpretation, data collection, and computer program and web development, is accessible at our Comparative RNA Web (CRW) Site http://www.rna.icmb.utexas.edu. In the future, more data and information will be added to these existing categories, new categories will be developed, and additional RNAs will be studied and presented at the CRW Site.

Base Sequence↗

PubMed2002

The accuracy of ribosomal RNA comparative structure models.

The determination of the 16S and 23S rRNA secondary structure models was initiated shortly after the first complete 16S and 23S rRNA sequences were determined in the late 1970s. The structures that are common to all 16S rRNAs and all 23S rRNAs were determined using comparative methods from the analysis of thousands of rRNA sequences. Twenty-plus years later, the 16S and 23S rRNA comparative structure models have been evaluated against the recently determined high-resolution crystal structures of the 30S and 50S ribosomal subunits. Nearly all of the predicted covariation-based base pairs, including the regular base pairs and helices, and the irregular base pairs and tertiary interactions, were present in the 30S and 50S crystal structures.

Crystallography, X-Ray↗