Literature DB >> 7489516

A comparison of thermodynamic foldings with comparatively derived structures of 16S and 16S-like rRNAs.

D A Konings1, R R Gutell.   

Abstract

To increase our understanding of the dynamics and complexities of the RNA folding process, and therewith to improve our ability to predict RNA secondary structure by computational means, we have examined the foldings of a large number of phylogenetically and structurally diverse 16S and 16S-like rRNAs and compared these results with their comparatively derived secondary structures. Our initial goals are to establish the range of prediction success for this class of rRNAs, and to begin comparing and contrasting the foldings of these RNAs. We focus here on structural features that are predicted with confidence as well as those that are poorly predicted. Whereas the large set of Archaeal and (eu)Bacterial 16S rRNAs all fold well (69% and 55% respectively), some as high as 80%, many Eucarya and mitochondrial 16S rRNAs are poorly predicted (approximately 30%), with a few of these predicted as low as 10-20%. In general, base pairs interacting over a short distance and, in particular, those closing hairpin loops, are predicted significantly better than long-range base pairs and those closing multistem loops and bulges. The prediction success of hairpin loops varies, however, with their size and context. Analysis of some of the RNAs that do not fold well suggests that the composition of some hairpin loops (e.g., tetraloops) and the higher frequency of noncanonical pairs in their comparatively derived structures might contribute to these lower success rates. Eucarya and mitochondrial rRNAs reveal further novel tetraloop motifs, URRG/A and CRRG, that interchange with known stable tetraloop in the procaryotes.

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Year:  1995        PMID: 7489516      PMCID: PMC1369301     

Source DB:  PubMed          Journal:  RNA        ISSN: 1355-8382            Impact factor:   4.942


  37 in total

1.  Improved statistical methods reveal direct interactions between 16S and 23S rRNA.

Authors:  S T Kelley; V R Akmaev; G D Stormo
Journal:  Nucleic Acids Res       Date:  2000-12-15       Impact factor: 16.971

2.  Comparative analysis of secondary structure of insect mitochondrial small subunit ribosomal RNA using maximum weighted matching.

Authors:  R D Page
Journal:  Nucleic Acids Res       Date:  2000-10-15       Impact factor: 16.971

3.  The relationship between third-codon position nucleotide content, codon bias, mRNA secondary structure and gene expression in the drosophilid alcohol dehydrogenase genes Adh and Adhr.

Authors:  D B Carlini; Y Chen; W Stephan
Journal:  Genetics       Date:  2001-10       Impact factor: 4.562

4.  The folding of large RNAs studied by hybridization to arrays of complementary oligonucleotides.

Authors:  M Sohail; S Akhtar; E M Southern
Journal:  RNA       Date:  1999-05       Impact factor: 4.942

5.  Comparative sequence analysis and patterns of covariation in RNA secondary structures.

Authors:  J Parsch; J M Braverman; W Stephan
Journal:  Genetics       Date:  2000-02       Impact factor: 4.562

6.  Grass evolution inferred from chromosomal rearrangements and geometrical and statistical features in RNA structure.

Authors:  Gustavo Caetano-Anollés
Journal:  J Mol Evol       Date:  2005-05       Impact factor: 2.395

7.  Global mRNA stability is not associated with levels of gene expression in Drosophila melanogaster but shows a negative correlation with codon bias.

Authors:  Hans K Stenøien; Wolfgang Stephan
Journal:  J Mol Evol       Date:  2005-07-21       Impact factor: 2.395

8.  Predicted secondary structure for 28S and 18S rRNA from Ichneumonoidea (Insecta: Hymenoptera: Apocrita): impact on sequence alignment and phylogeny estimation.

Authors:  Joseph J Gillespie; Matthew J Yoder; Robert A Wharton
Journal:  J Mol Evol       Date:  2005-07-14       Impact factor: 2.395

9.  Evidence for existence of "mesotogas," members of the order Thermotogales adapted to low-temperature environments.

Authors:  Camilla L Nesbø; Marlena Dlutek; Olga Zhaxybayeva; W Ford Doolittle
Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

10.  Large deviations for random trees and the branching of RNA secondary structures.

Authors:  Yuri Bakhtin; Christine E Heitsch
Journal:  Bull Math Biol       Date:  2008-12-13       Impact factor: 1.758

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