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At least 757 records · Page 42Linked to original sources
PubMed1991

Antitermination of vaccinia virus early transcription: possible role of RNA secondary structure.

Transcription of vaccinia early genes by the viral RNA polymerase terminates downstream of a signal sequence TTTTTNT in the nontemplate DNA strand. Signal recognition occurs at the level of the sequence UUUUUNU in nascent RNA and depends on a virus-encoded termination factor (VTF). The presence of TTTTTNT elements within protein encoding regions of some early genes requires that these 5' proximal signals be ignored in order to achieve early expression of the full-sized proteins. In the case of the A18R gene, which contains a proximal terminator that is not utilized in vivo (Pacha et al., J. Virol. 64, 3853-3863 (1990)), the TTTTTNT sequence can be folded into a potential hairpin structure such that UUUUUNU would be part of a duplex stem in the nascent RNA. We find that the A18R putative hairpin is unable to promote factor-dependent termination in a purified in vitro transcription system. Sequence manipulations that abrogate the potential to form an RNA hairpin restore the activity of the TTTTTNT motif. The in vitro studies suggest that antitermination at the proximal site of the A18R gene may be mediated by secondary structure in the nascent RNA, and that early termination involves recognition by VTF and/or RNA polymerase of the UUUUUNU sequence in single-stranded form.

Base Sequence↗
PubMed1987

Graphics of RNA secondary structure; towards an object-oriented algorithm.

We present a new algorithm for the display of RNA secondary structure. The principle of the algorithm is entirely different from those currently in use in that our algorithm is 'object oriented' while current algorithms are 'procedural'. The circular RNA molecule of chrysanthemum stunt viroid was used as input data for demonstrating the operation of the program. The major interest of this method will be found in its potential use in simulation graphics of RNA folding processes.

Algorithms↗
PubMed1997

Affinities and selectivities of divalent cation binding sites within an RNA tertiary structure.

A 58 nucleotide fragment of Escherichia coli large subunit ribosomal RNA, nucleotides 1051 to 1108, adopts a specific tertiary structure normally requiring both monovalent (NH4+ or K+) and divalent (Mg2+) ions to fold; this ion-dependent structure is a prerequisite for recognition by ribosomal protein L11. Melting experiments have been used to show that a sequence variant of this fragment, GACG RNA, is able to adopt a stable tertiary structure in the presence of 1.6 M NH4Cl and absence of divalent ions. The similarity of this high-salt structure to the tertiary structure formed under more typical salt conditions (0.1 M NH4Cl and several mM MgCl2) was shown by its following properties: (i) an unusual ratio of hyperchromicity at 260 nm and 280 nm upon unfolding, (ii) selectivity for NH4+ over K+ or Na+, (iii) stabilization by L11 protein, and (iv) further stabilization by added Mg2+. Delocalized electrostatic interactions of divalent ions with nucleic acids should be very weak in the presence of >1 M monovalent salt; thus stabilization of the tertiary structure by low (<1 mM) Mg2+ concentrations in these high-salt conditions suggests that Mg2+ binds at specific site(s). GACG RNA tertiary structure unfolding in 1.6 M NH4Cl (Tm approximately 39 degrees C) is distinct from melting of the secondary structure (centered at approximately 72 degrees C), and it has been possible to calculate the free energy of tertiary structure stabilization upon addition of various divalent cations. From these binding free energies, ion-RNA binding isotherms for Mn2+, Mg2+, Ca2+, Sr2+ and Ba2+ have been obtained. All of these ions bind at two sites: one site favors Mg2+ and Ba2+ and discriminates against Ca2+, while the other site favors binding of smaller ions over larger ones (Mg2+ >Ca2+ >Sr2+ >Ba2+). Weak cooperative or anticooperative interactions between the sites, also dependent on ion radius, may also be taking place.

Barium↗
PubMed2004

Using an RNA secondary structure partition function to determine confidence in base pairs predicted by free energy minimization.

A partition function calculation for RNA secondary structure is presented that uses a current set of nearest neighbor parameters for conformational free energy at 37 degrees C, including coaxial stacking. For a diverse database of RNA sequences, base pairs in the predicted minimum free energy structure that are predicted by the partition function to have high base pairing probability have a significantly higher positive predictive value for known base pairs. For example, the average positive predictive value, 65.8%, is increased to 91.0% when only base pairs with probability of 0.99 or above are considered. The quality of base pair predictions can also be increased by the addition of experimentally determined constraints, including enzymatic cleavage, flavin mono-nucleotide cleavage, and chemical modification. Predicted secondary structures can be color annotated to demonstrate pairs with high probability that are therefore well determined as compared to base pairs with lower probability of pairing.

Algorithms↗
PubMed2007

A structured viroid RNA serves as a substrate for dicer-like cleavage to produce biologically active small RNAs but is resistant to RNA-induced silencing complex-mediated degradation.

RNA silencing is a potent means of antiviral defense in plants and animals. A hallmark of this defense response is the production of 21- to 24-nucleotide viral small RNAs via mechanisms that remain to be fully understood. Many viruses encode suppressors of RNA silencing, and some viral RNAs function directly as silencing suppressors as counterdefense. The occurrence of viroid-specific small RNAs in infected plants suggests that viroids can trigger RNA silencing in a host, raising the question of how these noncoding and unencapsidated RNAs survive cellular RNA-silencing systems. We address this question by characterizing the production of small RNAs of Potato spindle tuber viroid (srPSTVds) and investigating how PSTVd responds to RNA silencing. Our molecular and biochemical studies provide evidence that srPSTVds were derived mostly from the secondary structure of viroid RNAs. Replication of PSTVd was resistant to RNA silencing, although the srPSTVds were biologically active in guiding RNA-induced silencing complex (RISC)-mediated cleavage, as shown with a sensor system. Further analyses showed that without possessing or triggering silencing suppressor activities, the PSTVd secondary structure played a critical role in resistance to RISC-mediated cleavage. These findings support the hypothesis that some infectious RNAs may have evolved specific secondary structures as an effective means to evade RNA silencing in addition to encoding silencing suppressor activities. Our results should have important implications in further studies on RNA-based mechanisms of host-pathogen interactions and the biological constraints that shape the evolution of infectious RNA structures.

Arabidopsis↗
PubMed2005

Dependence of RNA secondary structure on the energy model.

We analyze a microscopic RNA model, which includes two widely used models as limiting cases; namely, it contains terms for bond as well as for stacking energies. We numerically investigate possible changes in the qualitative and quantitative behavior while going from one model to the other; in particular, we test whether a transition occurs when continuously moving from one model to the other. For this we calculate various thermodynamic quantities, at both zero temperature and finite temperatures. All calculations can be done efficiently in polynomial time by a dynamic programming algorithm. We do not find a sign for the transition between the models, but the critical exponent nu of the correlation length, describing the phase transition in all models to an ordered low-temperature phase, seems to depend continuously on the model. Finally, we apply the epsilon -coupling method to study low-energy excitations. The exponent theta describing the energy scaling of the excitations seems to depend not much on the energy model.

Algorithms↗
PubMed1999

RNA secondary structure prediction based on free energy and phylogenetic analysis.

We describe a computational method for the prediction of RNA secondary structure that uses a combination of free energy and comparative sequence analysis strategies. Using a homology-based sequence alignment as a starting point, all favorable pairings with respect to the Turner energy function are identified. Each potentially paired region within a multiple sequence alignment is scored using a function that combines both predicted free energy and sequence covariation with optimized weightings. High scoring regions are ranked and sequentially incorporated to define a growing secondary structure. Using a single set of optimized parameters, it is possible to accurately predict the foldings of several test RNAs defined previously by extensive phylogenetic and experimental data (including tRNA, 5 S rRNA, SRP RNA, tmRNA, and 16 S rRNA). The algorithm correctly predicts approximately 80% of the secondary structure. A range of parameters have been tested to define the minimal sequence information content required to accurately predict secondary structure and to assess the importance of individual terms in the prediction scheme. This analysis indicates that prediction accuracy most strongly depends upon covariational information and only weakly on the energetic terms. However, relatively few sequences prove sufficient to provide the covariational information required for an accurate prediction. Secondary structures can be accurately defined by alignments with as few as five sequences and predictions improve only moderately with the inclusion of additional sequences.

Algorithms↗
PubMed2001

Noncoding RNA gene detection using comparative sequence analysis.

BACKGROUND: Noncoding RNA genes produce transcripts that exert their function without ever producing proteins. Noncoding RNA gene sequences do not have strong statistical signals, unlike protein coding genes. A reliable general purpose computational genefinder for noncoding RNA genes has been elusive. RESULTS: We describe a comparative sequence analysis algorithm for detecting novel structural RNA genes. The key idea is to test the pattern of substitutions observed in a pairwise alignment of two homologous sequences. A conserved coding region tends to show a pattern of synonymous substitutions, whereas a conserved structural RNA tends to show a pattern of compensatory mutations consistent with some base-paired secondary structure. We formalize this intuition using three probabilistic "pair-grammars": a pair stochastic context free grammar modeling alignments constrained by structural RNA evolution, a pair hidden Markov model modeling alignments constrained by coding sequence evolution, and a pair hidden Markov model modeling a null hypothesis of position-independent evolution. Given an input pairwise sequence alignment (e.g. from a BLASTN comparison of two related genomes) we classify the alignment into the coding, RNA, or null class according to the posterior probability of each class. CONCLUSIONS: We have implemented this approach as a program, QRNA, which we consider to be a prototype structural noncoding RNA genefinder. Tests suggest that this approach detects noncoding RNA genes with a fair degree of reliability.

Algorithms↗
PubMed1994

Regulation of protein synthesis by mRNA structure.

In addition to the m7G cap structure, the length of the 5' UTR and the position and context of the AUG initiator codon (which have been discussed elsewhere in this volume), higher order structures within mRNA represent a critical parameter for translation. The role of RNA structure in translation initiation will be considered primarily, although structural elements have also been found to affect translation elongation and termination. We will first describe the different effects of higher order RNA structures per se, and then consider specific examples of RNA structural elements which control translation initiation by providing binding sites for regulatory proteins.

Binding Sites↗
PubMed2003

RNA recognition and base flipping by the toxin sarcin.

Sarcin is a member of a fungal toxin family that enters cells and specifically cleaves one of the thousands of RNA phosphodiester bonds in the ribosome. As a result, elongation factor binding is disrupted, translation is inhibited and apoptosis is triggered. The toxin targets a universal RNA structure in the ribosome called the sarcin/ricin loop (SRL). A 1.11 A resolution structure of a minimal SRL RNA substrate (approximately 30-mer) shows that the loop portion of the substrate folds into two common building blocks of RNA structure: a bulged-G motif (recognition site) and a GAGA tetraloop (cleavage site). To elucidate the structural basis of toxin action, we determined two co-crystal structures of the sarcin homologue restrictocin bound to different analogs of a minimal SRL RNA substrate. Our studies argue that site selection by the toxin depends on direct base and shape recognition of the SRL RNA, and that cleavage by the toxin depends on a base flipping mechanism that positions the nucleophile for in-line attack on the scissile bond.

Binding Sites↗
PubMed2003

Influence of RNA secondary structure on HEV gene amplification using reverse-transcription and nested polymerase chain reaction.

BACKGROUND: Single-stranded RNA has the potential to form secondary structures that may result in intrastrand misalignment of repeats and may be responsible for DNA mutation. Two amplicons obtained from amplification of hepatitis E virus (HEV) gene by reverse transcription and nested polymerase chain reaction (RT-nPCR) were of unexpected size and had the same misalignment. They did not contain the target region between the internal priming sites but contained two fragments flanking the target region joined by a 12-base sequence instead. OBJECTIVES: To determine whether the unexpected amplicons obtained were due to secondary structures present in the HEV RNA. STUDY DESIGN: HEV RNA sequences were obtained from the GenBank database and the software DNASIS was used to predict the presence of secondary structures within the amplification target regions. The free energy barriers of the secondary structures, which indicate their stability, were also calculated. Conventional RT-nPCR protocol was subsequently modified to eliminate RNA secondary structures. RESULTS: An extensive stem-loop structure was predicted to exist between the two internal priming sites of the HEV RNA by the DNASIS software. Its free energy barrier was found to be significant and might have resulted in the deletion of the target region located between the internal priming sites. Increased temperature and addition of dimethyl sulphoxide (DMSO) in the reverse transcription step gave the expected amplicon after the nested polymerase chain reaction. CONCLUSION: Spontaneous secondary structure formation can influence the outcome of RNA gene amplification and should be considered an important factor when designing primers and adopting protocols for RNA gene amplification.

Base Sequence↗
PubMed1992

Correlation of RNA secondary structure and attenuation of Sabin vaccine strains of poliovirus in tissue culture.

Part of the 5' noncoding regions of all three Sabin vaccine strains of poliovirus contains determinants of attenuation that are shown here to influence the ability of these strains to grow at elevated temperatures in BGM cells. The predicted RNA secondary structure of this region (nt 464-542 in P3/Sabin) suggests that both phenotypes are due to perturbation of base-paired stems. Ts phenotypes of site-directed mutants with defined changes in this region correlated well with predicted secondary structure stabilities. Reversal of base-pair orientation had little effect whereas stem disruption led to marked increases in temperature sensitivity. Phenotypic revertants of such viruses displayed mutations on either side of the stem. Mutations destabilizing stems led to intermediate phenotypes. These results provided evidence for the biological significance of the predicted RNA secondary structure.

Base Sequence↗
PubMed1993

The theoretical analysis of the process of RNA molecule self-assembly.

The Kinetic approach to the problem of the RNA structure prediction based on the analysis of the molecule self-formation is proposed. Re-structurization that occurs during processing is described in terms of Markov processes. A new formalism designating nucleotides by complex numbers is proposed, leading to the complex unitary space of nucleic vectors. Properties of structure and transition matrices are discussed in relation to the analysis of RNA structural formation processes. The non-linear dynamic behavior of secondary structure transition is analyzed. Soliton-like oscillations of RNA and DNA tertiary structures are predicted. The Monte-Carlo simulation of the RNA structure self-formation is used to calculate the ensemble of the secondary structures of the tRNA(Ala) precursor from Bombix mori formed during processing.

Animals↗
PubMed1998

Effects of reaction conditions on RNA secondary structure and on the helicase activity of Escherichia coli transcription termination factor Rho.

The ATPase and helicase activities of the Escherichia coli transcription termination protein rho have been studied under a variety of reaction conditions that alter its transcription termination activity. These conditions include KCl, KOAc, or KGlu concentrations from 50 to 150 mM and Mg(OAc)2 concentrations from 1 to 5 mM (in the presence of 1 mM ATP). In higher KCl or higher Mg(OAc)2 concentrations we found that the translocation of rho hexamers along RNA was slower and less processive than the same process measured at 50 mM monovalent salt concentrations and 1 mM Mg(OAc)2. The ATPase activity of rho was also decreased under reaction conditions that slowed translocation. RNA melting experiments showed that the decreased ATPase activity of rho and the slower helicase activity at increased KCl or Mg(OAc)2 concentrations are accompanied by a concomitant increase in the secondary structure of the RNA portion of the helicase substate. In contrast, the ATPase activity of rho in the presence of poly(rC), a synthetic RNA that does not form salt-concentration-dependent secondary structure, was shown to be the same in each of the three monovalent salts. Thus, the salts do not directly affect the structure or conformation of the rho protein or the binding of rho to single-stranded RNA. However, the translocation of rho along RNA was more processive in 150 mM KOAc or KGlu than in 150 mM KCl, while the RNA secondary structure was the same in all three monovalent salts. Therefore, the monovalent salt present in the reaction may directly affect rho-RNA interactions when the RNA substrate can form secondary structure. Helicase experiments with an RNA molecule that does not contain a rho loading-site showed that rho translocates less processively along this potential helicase substrate. These results suggest that the helicase activity of rho may be significantly regulated by RNA secondary structure. In addition, one of the mechanisms to concentrate the activity of rho on transcripts containing unstructured rho loading sites may be that rho translocation along such molecules is more processive than it is along more structured RNA molecules in the cell.

Bacterial Proteins↗
PubMed1977

Secondary structure of RNA from bacteriophages f2 Qbeta, and PP7.

Electron microscopy of RNA-protein monolayers prepared under partial denaturing conditions has been used to compare the secondary structure of coliphage f2 and Qbeta and Pseudomonas aeruginosa phage PP7 RNAs. The secondary structure map of f2 RNA contains a central open loop and four symmetrically placed hairpins, which is similar to the pattern reported by Jacobson (A. B. Jacobson, Proc. Natl. Acad. Sci. U.S.A. 73:307-311, 1976) for the closely related phage MS2. With the same denaturing conditions, Qbeta RNA, which is 20% larger than f2 or PP7 RNA, has a central open loop and a smaller terminal loop. PP7 RNA has two large, closed secondary structures, one of which is nearly central. The base composition of PP7 RNA was determined and is similar to that of the group I coliphage RNAs. Thus, the greater amount of large base-paired structure is not related to an increased guanine-plus-cytosine content of PP7 RNA. With increased denaturing conditions, the central, closed structure of PP7 RNA is converted into an open loop. The central structures of all three phages include about 700 nucleotides. The relevance of these findings to the genetic maps of the coliphage RNAs is discussed.

Bacteriophages↗
PubMed1986

RNA secondary structure formation during transcription.

A new approach has been proposed for predicting the kinetic ensemble of the RNA secondary structures during chain growth. It is based on an analysis of time intervals in structural reconstruction. The Markov chain employed for describing structural reconstruction was modelled on the Monte Carlo method. A calculation was made of possible secondary structures formed during transcription. An algorithm has also been suggested for the search of a helix with a bulge type defect in which a cooperative effect is retained. Kinetic ensembles of the SD-sites and initiation regions of the polycistronic mRNA transcribed from ATP operon E. coli were calculated. A correlation between the secondary structures of these mRNA regions and the relative cistronic expression was established.

Base Sequence↗
PubMed1995

The secondary structure and sequence optimization of an RNA ligase ribozyme.

In vitro selection can generate functional sequence variants of an RNA structural motif that are useful for comparative analysis. The technique is particularly valuable in cases where natural variation is unavailable or non-existent. We report the extension of this approach to a new extreme--the identification of a 112 nt ribozyme secondary structure imbedded within a 186 nt RNA. A pool of 10(14) variants of an RNA ligase ribozyme was generated using combinatorial chemical synthesis coupled with combinatorial enzymatic ligation such that 172 of the 186 relevant positions were partially mutagenized. Active variants of this pool were enriched using an in vitro selection scheme that retains the sequence variability at positions very close to the ligation junction. Ligases isolated after four rounds of selection catalyzed self-ligation up to 700 times faster than the starting sequence. Comparative analysis of the isolates indicated that when complexed with substrate RNAs the ligase forms a nested, double pseudo-knot secondary structure with seven stems and several important joining segments. Comparative analysis also suggested the identity of mutations that account for the increased activity of the selected ligase variants; designed constructs incorporating combinations of these changes were more active than any of the individual ligase isolates.

Base Sequence↗
PubMed2004

Picornavirus IRES: structure function relationship.

Picornavirus infections have been a challenging problem in human health. Genome organisation of picornavirus is unique in having a long, heavily-structured, multifunctional 5'untranslated region, preceding a single open reading frame from which all viral proteins are produced. Within the 5'leader, an internal region termed ribosome entry site (IRES) regulates viral protein synthesis in a 5'-independent manner. The IRES element itself is a distinctive feature of the picornavirus mRNAs, allowing efficient viral protein synthesis in infected cells in spite of a severe modification of translation initiation factors induced by viral proteases that lead to a fast inhibition of cellular protein synthesis. Picornavirus IRES elements are strongly structured, bearing several motifs, phylogenetically conserved, which are essential for IRES activity. Together with RNA structure, RNA-binding proteins play an essential role in the activity of the IRES element, having a profound effect on viral pathogenesis. Recent data on the involvement of these conserved motifs in RNA structure and protein recognition is discussed in detail. Understanding the interplay between these two components of IRES function is crucial to develop viral strategies aimed to use the viral RNA as the target of antiviral approaches.

5' Untranslated Regions↗