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PubMedDate not supplied

[Secondary structure of RNA of influenza virus in free form and in ribonucleoprotein].

Large amounts of RNA and RNP isolated from influenza virus were obtained. This has allowed us to undertake detailed physical studies of the secondary structure of RNA of influenza virus in free form and in RNP. Analysis of CD spectrum and the hypochromic effect after thermal denaturation of RNA indicated that RNA in free form contains 58--62% double-stranded regions. By comparative studies of the secondary structure of RNA in RNP, it was estimated that 12--14% of the RNA exists in double-stranded form.

Hot Temperature↗
PubMed1988

An algorithm for comparing multiple RNA secondary structures.

A new distributed computational procedure is presented for rapidly determining the similarity of multiple conformations of RNA secondary structures. A data abstraction scheme is utilized to reduce the quantity of data that must be handled to determine the degree of similarity among multiple structures. The method has been used to compare 200 structures with easy visualization of both those structures and substructures that are similar and those that are vastly different. It has the capability of processing many more conformations as a function of research requirements. The algorithm is described as well as some suggestions for future uses and extensions.

Algorithms↗
PubMed2006

Investigation of de novo totally random biosequences, Part III: RNA Foster: A novel assay to investigate RNA folding structural properties.

Fold is essential to RNA properties, and, in particular, its thermodynamic stability can be used to monitor RNA-protein or RNA-ligand interactions, and to engineer RNA with novel or improved properties. While clearly valuable, experimental determination of RNA folding stability by traditional biophysical techniques requires substantial amounts of pure sample and rather expensive equipment. In this paper, we report a new, simple approach to the determination of RNA folding stability by coupling enzymatic digestion and temperature denaturation. The assay, named RNA folding stability Test (RNA Foster), is designed to probe the fraction of folded RNA (f(fold)) in an equilibrium mixture of folded and unfolded ones as a function of temperature. The simplicity of RNA Foster suggests that it can easily be scaled up for high-throughput studies of RNA folding stability both in basic and applied research.

Base Sequence↗
PubMed1996

Interaction of the trp RNA-Binding attenuation protein (TRAP) of Bacillus subtilis with RNA: effects of the number of GAG repeats, the nucleotides separating adjacent repeats, and RNA secondary structure.

The 11-subunit trp RNA-binding attenuation protein of Bacillus subtilis, TRAP, regulates transcription and translation by binding to several (G/U)AG repeats present in the trp leader and trpG transcripts. Filter binding assays were used to study interactions between L-tryptophan-activated TRAP and synthetic RNAs. RNAs that contained GAG and/or UAG repeats were tested while the length and sequence of the nucleotides separating adjacent trinucleotide repeats were altered. TRAP-RNA complexes formed with transcripts containing GAG repeats were more stable than those with transcripts containing UAG repeats or alternating GAG and UAG repeats. The stability of TRAP-RNA complexes also increased substantially when the number of GAG repeats was increased from five to six and from six to seven. A gradual increase in complex stability was observed when the number of GAG repeats was increased from 7 to 11. The optimal spacer between adjacent trinucleotide repeats was found to be 2 nucleotides, with A and U residues preferred over G and C residues. TRAP binding was specific for single-stranded RNA; TRAP could not bind to RNA containing GAG repeats base paired in a stable RNA duplex. Overall, our findings suggest that each L-tryptophan-activated TRAP subunit can bind one (G/U)AG repeat and that multiple TRAP subunit-RNA binding site interactions are required for stable TRAP-RNA association.

Bacillus subtilis↗
PubMed1981

Near identity of 3- RNA secondary structure in bromoviruses and cucumber mosaic virus.

The 3- terminal sequences of RNAs 1, 2, 3 and 4 from each of the three bromoviruses (brome mosaic, cowpea chlorotic mottle and broad bean mottle viruses) and also from cucumber mosaic virus display interviral sequence similarity in addition to strong intraviral homology. Interviral similarity is much more evident when RNA secondary, rather than primary, structures are compared. The last 190 bases of the various RNAs can fold into strikingly similar, extensively base-paired secondary structures whose common features are supported by RNA structure mapping. The extreme 3' end of each viral RNA can base-pair in two distinct configurations. Bromovirus RNA 3s each contain an unusually accessible internal oligo(A) sequence which, in brome mosaic virus at least, is located in the intercistronic noncoding region. Functional implications of these structural features are discussed.

Base Sequence↗
PubMed2006

Automated extraction and classification of RNA tertiary structure cyclic motifs.

A minimum cycle basis of the tertiary structure of a large ribosomal subunit (LSU) X-ray crystal structure was analyzed. Most cycles are small, as they are composed of 3- to 5 nt, and repeated across the LSU tertiary structure. We used hierarchical clustering to quantify and classify the 4 nt cycles. One class is defined by the GNRA tetraloop motif. The inspection of the GNRA class revealed peculiar instances in sequence. First is the presence of UA, CA, UC and CC base pairs that substitute the usual sheared GA base pair. Second is the revelation of GNR(X(n))A tetraloops, where X(n) is bulged out of the classical GNRA structure, and of GN/RA formed by the two strands of interior-loops. We were able to unambiguously characterize the cycle classes using base stacking and base pairing annotations. The cycles identified correspond to small and cyclic motifs that compose most of the LSU RNA tertiary structure and contribute to its thermodynamic stability. Consequently, the RNA minimum cycles could well be used as the basic elements of RNA tertiary structure prediction methods.

Algorithms↗
PubMed1996

Comparative analysis of tertiary structure elements in signal recognition particle RNA.

BACKGROUND: The signal recognition particle (SRP) is a ribonucleoprotein complex that associates with ribosomes to promote co-translational translocation of proteins across biological membranes. We have used comparative analysis of a large number of bacterial, archaeal, and eukaryotic SRP RNA sequences to derive shared tertiary SRP RNA structure elements. RESULTS: A representative three-dimensional model of the human SRP RNA is shown that includes single-stranded intrahelical and interhelical RNA loops and incorporates data from enzymatic and chemical modification, electron microscopy, and site-directed mutagenesis. Properties of the SRP RNA model are an overall extended dumbbell-shaped structure (260 A x 70 A) with a pseudoknot in the small SRP domain (a pairing of 12-UGGC-15 with 33-GCUA-36), and a tertiary interaction in the large SRP domain (198-GA-199 with 232-GU-233). CONCLUSIONS: The RNA 'knuckle' formed in helix 8 of SRP RNA appears to constitute the binding site for protein SRP54 or its bacterial equivalent, protein P48. A dynamic property of this feature may explain the hierarchial assembly of proteins SRP19 and SRP54 in the large SRP domain. Furthermore, the human SRP RNA model serves as a framework to understand details of the structure and function of SRP in all organisms and is presented to stimulate further experimentation in this area.

Animals↗
PubMed2000

Use of RNA secondary structure for studying the evolution of RNase P and RNase MRP.

Secondary structure is evaluated for determining evolutionary relationships between catalytic RNA molecules that are so distantly related they are scarcely alignable. The ribonucleoproteins RNase P (P) and RNase MRP (MRP) have been suggested to be evolutionarily related because of similarities in both function and secondary structure. However, their RNA sequences cannot be aligned with any confidence, and this leads to uncertainty in any trees inferred from sequences. We report several approaches to using secondary structures for inferring evolutionary trees and emphasize quantitative tests to demonstrate that evolutionary information can be recovered. For P and MRP, three hypotheses for the relatedness are considered. The first is that MRP is derived from P in early eukaryotes. The next is that MRP is derived from P from an early endosymbiont. The third is that both P and MRP evolved in the RNA-world (and the need for MRP has since been lost in prokaryotes). Quantitative comparisons of the pRNA and mrpRNA secondary structures have found that the possibility of an organellar origin of MRP is unlikely. In addition, comparison of secondary structures support the identity of an RNase P-like sequence in the maize chloroplast genome. Overall, it is concluded that RNA secondary structure is useful for evaluating evolutionary relatedness, even with sequences that cannot be aligned with confidence.

Animals↗
PubMed1995

CARD: a drawing tool for RNA secondary structure models.

A graphical editor was developed to create publication-quality representations of RNA secondary structure models. A user-defined model can be gradually assembled from structural elements such as helix segments and loops. The type of structural element to be drawn is chosen from a menu. Its nucleotide sequence has to be entered from the keyboard. Afterwards, drawings can be manipulated by moving, deleting, rotating, copying or changing the structural elements separately. An example of a secondary structure model is given for a complete 18S rRNA molecule.

Nucleic Acid Conformation↗
PubMed2006

Using RNA secondary structures to guide sequence motif finding towards single-stranded regions.

RNA binding proteins recognize RNA targets in a sequence specific manner. Apart from the sequence, the secondary structure context of the binding site also affects the binding affinity. Binding sites are often located in single-stranded RNA regions and it was shown that the sequestration of a binding motif in a double-strand abolishes protein binding. Thus, it is desirable to include knowledge about RNA secondary structures when searching for the binding motif of a protein. We present the approach MEMERIS for searching sequence motifs in a set of RNA sequences and simultaneously integrating information about secondary structures. To abstract from specific structural elements, we precompute position-specific values measuring the single-strandedness of all substrings of an RNA sequence. These values are used as prior knowledge about the motif starts to guide the motif search. Extensive tests with artificial and biological data demonstrate that MEMERIS is able to identify motifs in single-stranded regions even if a stronger motif located in double-strand parts exists. The discovered motif occurrences in biological datasets mostly coincide with known protein-binding sites. This algorithm can be used for finding the binding motif of single-stranded RNA-binding proteins in SELEX or other biological sequence data.

Algorithms↗
PubMed2000

Rearrangement of a stable RNA secondary structure during VS ribozyme catalysis.

The Neurospora VS ribozyme recognizes and cleaves a substrate RNA that contains a GC-rich stem loop. In contrast to most RNA secondary structures that are stable during tertiary or quaternary folding, this substrate undergoes extensive ribozyme-induced rearrangement in the presence of magnesium in which the base pairings of at least seven of the ten nucleotides in the stem are changed. This conformational switch is essential for catalytic activity with the wild-type substrate and creates a metal-binding secondary structure motif near the cleavage site. Base pair rearrangement is accompanied by bulging a cytosine from the middle of the stem, indicating that ribozymes may perform base flipping, an activity previously observed only with protein enzymes that modify DNA.

Catalysis↗
PubMed1990

Comparing multiple RNA secondary structures using tree comparisons.

In a previous paper, an algorithm was presented for analyzing multiple RNA secondary structures utilizing a multiple string alignment algorithm. In this paper we present another approach to the problem of comparing many secondary structures by utilizing a very efficient tree-matching algorithm that will compare two trees in O([T1] X [T2] X L1 X L2) in the worst case and very close to O([T1] X [T2]) for average trees representing secondary structures. The result of the pairwise comparison algorithm is then used with a cluster algorithm to produce a multiple structure clustering which can be displayed in a taxonomy tree to show related structures.

Algorithms↗
PubMed2002

RNA secondary structure and squence conservation in C1 region of human immunodeficiency virus type 1 env gene.

We have analyzed amino acid, nucleotide sequence, and RNA secondary structure variability in the env gene of human immunodeficiency virus type (HIV-1). In applying algorithms for computing optimal RNA-folding patterns to a nonredundant data set of 178 env nucleotide sequences, we found a conserved RNA stem-loop structure in the first conserved (C1) region of the env gene. This detailed examination also revealed the known secondary structure conservation of the Rev-responsive element (RRE). This finding is also supported by a higher third position conservation of the translatable reading frame along these subregions. The typical folding of the C1 region consists of two isolated stem-loop structures. These highly conserved structures are likely to have a biological function. This assumption is supported by the conservation of the third position along the coding region of these structures. The third position retains a conservation level above what would be statistically expected.

Algorithms↗
PubMed2003

RnaViz 2: an improved representation of RNA secondary structure.

SUMMARY: RnaViz has been developed to easily create nice, publication quality drawings of RNA secondary structure. RnaViz 2 supports CT, DCSE, and RNAML input formats and improves on many aspects of the first version, notably portability and structure annotation. RnaViz is written using a hybrid programming approach combining pieces written in C and in the scripting language Tcl/Tk, making the program very portable and extensible. AVAILABILITY: Source code, binaries for Linux and MS Windows, and additional documentation are available athttp://rrna.uia.ac.be/rnaviz/

Base Sequence↗
PubMed2005

HotKnots: heuristic prediction of RNA secondary structures including pseudoknots.

We present HotKnots, a new heuristic algorithm for the prediction of RNA secondary structures including pseudoknots. Based on the simple idea of iteratively forming stable stems, our algorithm explores many alternative secondary structures, using a free energy minimization algorithm for pseudoknot free secondary structures to identify promising candidate stems. In an empirical evaluation of the algorithm with 43 sequences taken from the Pseudobase database and from the literature on pseudoknotted structures, we found that overall, in terms of the sensitivity and specificity of predictions, HotKnots outperforms the well-known Pseudoknots algorithm of Rivas and Eddy and the NUPACK algorithm of Dirks and Pierce, both based on dynamic programming approaches for limited classes of pseudoknotted structures. It also outperforms the heuristic Iterated Loop Matching algorithm of Ruan and colleagues, and in many cases gives better results than the genetic algorithm from the STAR package of van Batenburg and colleagues and the recent pknotsRG-mfe algorithm of Reeder and Giegerich. The HotKnots algorithm has been implemented in C/C++ and is available from http://www.cs.ubc.ca/labs/beta/Software/HotKnots.

Algorithms↗
PubMed1994

Some features on RNA folding structures of cytochrome c oxidase subunit II and cytochrome P450.

We have defined the folding index of the RNA secondary structure and compared the value of this index obtained from a given RNA molecule with one from the random sequences with the same A, U, G, C ratio. The mRNA of the cytochrome c oxidase subunit II and cytochrome P450 from various species was analyzed. We found that the mRNA of these genes were more folded than the random sequences and the coding regions of these mRNA were as equally folded as the random sequences. This result suggests that the coding region of these mRNA has no more important secondary structure than have the random sequences with the same A, U, G, C ratio.

Animals↗
PubMed2001

Evolutionarily conserved RNA secondary structures in coding and non-coding sequences at the 3' end of the hepatitis G virus/GB-virus C genome.

Hepatitis G virus (HGV)/GB virus C (GBV-C) causes persistent, non-pathogenic infection in a large proportion of the human population. Epidemiological and genetic evidence indicates a long-term association between HGV/GBV-C and related viruses and a range of primate species, and the co-speciation of these viruses with their hosts during primate evolution. Using a combination of covariance scanning and analysis of variability at synonymous sites, we previously demonstrated that the coding regions of HGV/GBV-C may contain extensive secondary structure of undefined function (Simmonds & Smith, Journal of Virology 73, 5787-5794, 1999 ). In this study we have carried out a detailed comparison of the structure of the 3'untranslated region (3'UTR) of HGV/GBV-C with that of the upstream NS5B coding sequence. By investigation of free energies on folding, secondary structure predictive algorithms and analysis of covariance between HGV/GBV-C genotypes 1-4 and the more distantly related HGV/GBV-C chimpanzee variant, we obtained evidence for extensive RNA secondary structure formation in both regions. In particular, the NS5B region contained long stem-loop structures of up to 38 internally paired nucleotides which were evolutionarily conserved between human and chimpanzee HGV/GBV-C variants. The prediction of similar structures in the same region of hepatitis C virus may allow the functions of these structures to be determined with a more tractable experimental model.

3' Untranslated Regions↗
PubMed2003

Analysis of the role of predicted RNA secondary structures in Ebola virus replication.

Thermodynamic modeling of Ebola viral RNA predicts the formation of RNA stem-loop structures at the 3' and 5' termini and panhandle structures between the termini of the genomic (or antigenomic) RNAs. Sequence analysis showed a high degree of identity among Ebola Zaire, Sudan, Reston, and Cote d'Ivoire subtype viruses in their 3' and 5' termini (18 nucleotides in length) and within a second region (internal by approximately 20 nucleotides). While base pairing of the two conserved regions could lead to the formation of the base of the putative stem-loop or panhandle structures, the intervening sequence variation altered the predictions for the rest of the structures. Using an in vivo minigenome replication system, we engineered mutations designed to disrupt potential base pairing in the viral RNA termini. Analysis of these variants by screening for enhanced green fluorescent protein reporter expression and by quantitation of minigenomic RNA levels demonstrated that the upper portions of the putative panhandle and 3' genomic structures can be destabilized without affecting virus replication.

Base Sequence↗