An RNA chaperone activity of non-specific RNA binding proteins in hammerhead ribozyme catalysis.

We have previously shown that a protein derived from the p7 nucleocapsid (NC) protein of HIV type-1 increases kcat/Km and kcat for cleavage of a cognate substrate by a hammerhead ribozyme. Here we show directly that the increase in kcat/Km arises from catalysis of the annealing of the RNA substrate to the ribozyme and the increase in kcat arises from catalysis of dissociation of the RNA products from the ribozyme. A peptide polymer derived from the consensus sequence of the C-terminal domain of the hnRNP A1 protein (A1 CTD) provides similar enhancements. Although these effects apparently arise from non-specific interactions, not all non-specific binding interactions led to these enhancements. NC and A1 CTD exert their effects by accelerating attainment of the thermodynamically most stable species throughout the ribozyme catalytic cycle. In addition, NC protein is shown to resolve a misfolded ribozyme-RNA complex that is otherwise long lived. These in vitro results suggest that non-specific RNA binding proteins such as NC and hnRNP proteins may have a biological role as RNA chaperones that prevent misfolding of RNAs and resolve RNAs that have misfolded, thereby ensuring that RNA is accessible for its biological functions.     

RNA structure: experimental analysis

Among all of the biological macromolecules, the functional versatility of RNAs is unique including encoding or transferring genetic information and performing catalysis. These biological functions are highly dependent upon RNA folding and structure. Since the discovery of catalytic RNAs in the early 1980s, a recent breakthrough came from the identification of a wealth of micro RNAs, small interfering RNAs and regulatory RNAs, all involved in modulation of gene expression. The structure of these novel RNAs, either free or in complex with specific ligands, can be analyzed using various experimental strategies, including X-ray crystallography, cryo-electron microscopy, nuclear magnetic resonance spectroscopy, structure-specific probes, with some that can be used in living cells, RNA engineering, thermal denaturation and mass spectrometry. Among these, X-ray crystallography has recently enabled determination of the structures of several large and complex RNAs, as well as of ribonucleoprotein complexes. The database of RNA structure has grown tremendously since the recent crystal structure analyses of the prokaryotic ribosome and its subunits. These methods are now widely applied to a variety of biologically relevant RNAs.     

A universal mode of helix packing in RNA

RNA molecules fold into specific three-dimensional shapes to perform structural and catalytic functions. Large RNAs can form compact globular structures, but the chemical basis for close helical packing within these molecules has been unclear. Analysis of transfer, catalysis, in vitro-selected and ribosomal RNAs reveal that helical packing predominantly involves the interaction of single-stranded adenosines with a helix minor groove. Using the Tetrahymena thermophila group I ribozyme, we show here that the near-perfect shape complementarity between the adenine base and the minor groove allows for optimal van der Waals contacts, extensive hydrogen bonding and hydrophobic surface burial, creating a highly energetically favorable interaction. Adenosine is recognized in a chemically similar fashion by a combination of protein and RNA components in the ribonucleoprotein core of the signal recognition particle. These results provide a thermodynamic explanation for the noted abundance of conserved adenosines within the unpaired regions of RNA secondary structures.     

Sampled ensemble neutrality as a feature to classify potential structured RNAs

Background

Structured RNAs have many biological functions ranging from catalysis of chemical reactions to gene regulation. Yet, many homologous structured RNAs display most of their conservation at the secondary or tertiary structure level. As a result, strategies for structured RNA discovery rely heavily on identification of sequences sharing a common stable secondary structure. However, correctly distinguishing structured RNAs from surrounding genomic sequence remains challenging, especially during de novo discovery. RNA also has a long history as a computational model for evolution due to the direct link between genotype (sequence) and phenotype (structure). From these studies it is clear that evolved RNA structures, like protein structures, can be considered robust to point mutations. In this context, an RNA sequence is considered robust if its neutrality (extent to which single mutant neighbors maintain the same secondary structure) is greater than that expected for an artificial sequence with the same minimum free energy structure.

Results

In this work, we bring concepts from evolutionary biology to bear on the structured RNA de novo discovery process. We hypothesize that alignments corresponding to structured RNAs should consist of neutral sequences. We evaluate several measures of neutrality for their ability to distinguish between alignments of structured RNA sequences drawn from Rfam and various decoy alignments. We also introduce a new measure of RNA structural neutrality, the structure ensemble neutrality (SEN). SEN seeks to increase the biological relevance of existing neutrality measures in two ways. First, it uses information from an alignment of homologous sequences to identify a conserved biologically relevant structure for comparison. Second, it only counts base-pairs of the original structure that are absent in the comparison structure and does not penalize the formation of additional base-pairs.

Conclusion

We find that several measures of neutrality are effective at separating structured RNAs from decoy sequences, including both shuffled alignments and flanking genomic sequence. Furthermore, as an independent feature classifier to identify structured RNAs, SEN yields comparable performance to current approaches that consider a variety of features including stability and sequence identity. Finally, SEN outperforms other measures of neutrality at detecting mutational robustness in bacterial regulatory RNA structures.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-014-1203-8) contains supplementary material, which is available to authorized users.     

RNA editing: complexity and complications

RNA editing in Trypanosomatids creates functional mitochondrial mRNAs by extensive uridylate (U) insertion and deletion as specified by small guide RNAs (gRNAs). Editing is catalysed by the multiprotein editosome. Over 20 of its protein components have been identified and additional proteins are likely to function in editing and its regulation. The functions of only a few editosome proteins have been determined. Surprisingly, there are related pairs or sets of editosome proteins, and insertion and deletion editing appear to be functionally and perhaps spatially separate. A model for the editosome is proposed, which has a catalysis domain with separate sectors for insertion and deletion editing. It also contains domains for anchor duplex and upstream RNA binding, which position the sequence to be edited in the catalysis domain.     

小RNA与蛋白质的相互作用

小分子调控RNA,包括siRNA（small interfering RNA）、miRNA（microRNA）和piRNA（piwiinteracting RNA）、hsRNA（heterochromatin associatedsmall RNA）等,是当前生命科学研究的前沿热点。越来越多的证据表明,这些小分子RNA存在于几乎所有较高等的真核生物细胞中,对生物体具有非常重要的调控功能。它们通过各种序列特异性的RNA基因沉默作用,包括RNA干扰（RNAi）、翻译抑制、异染色质形成等,调控诸如生长发育、应激反应、沉默转座子等各种各样的细胞进程。随着对这些小分子调控RNA的发现,一些RNascⅢ酶家族成员、Argonaute蛋白质家族成员及RNA结合蛋白质等先后被鉴定为小RNA的胞内蛋白质合作者,参与小RNA的加工成熟和在细胞内行使功能。本综述简介一些RNA沉默作用途径中重要组分的结构和功能的研究进展。     

Air proteins control differential TRAMP substrate specificity for nuclear RNA surveillance

RNA surveillance systems function at critical steps during the formation and function of RNA molecules in all organisms. The RNA exosome plays a central role in RNA surveillance by processing and degrading RNA molecules in the nucleus and cytoplasm of eukaryotic cells. The exosome functions as a complex of proteins composed of a nine-member core and two ribonucleases. The identity of the molecular determinants of exosome RNA substrate specificity remains an important unsolved aspect of RNA surveillance. In the nucleus of Saccharomyces cerevisiae, TRAMP complexes recognize and polyadenylate RNAs, which enhances RNA degradation by the exosome and may contribute to its specificity. TRAMPs contain either of two putative RNA-binding factors called Air proteins. Previous studies suggested that these proteins function interchangeably in targeting the poly(A)-polymerase activity of TRAMPs to RNAs. Experiments reported here show that the Air proteins govern separable functions. Phenotypic analysis and RNA deep-sequencing results from air mutants reveal specific requirements for each Air protein in the regulation of the levels of noncoding and coding RNAs. Loss of these regulatory functions results in specific metabolic and plasmid inheritance defects. These findings reveal differential functions for Air proteins in RNA metabolism and indicate that they control the substrate specificity of the RNA exosome.     

TbRGG2, an essential RNA editing accessory factor in two Trypanosoma brucei life cycle stages

In the mitochondria of kinetoplastid protozoa, including Trypanosoma brucei, RNA editing inserts and/or deletes uridines from pre-mRNAs to produce mature, translatable mRNAs. RNA editing is carried out by several related multiprotein complexes known as editosomes, which contain all of the enzymatic components required for catalysis of editing. In addition, noneditosome accessory factors necessary for editing of specific RNAs have also been described. Here, we report the in vitro and in vivo characterization of the mitochondrial TbRGG2 protein (originally termed TbRGGm) and demonstrate that it acts as an editing accessory factor. TbRGG2 is an RNA-binding protein with a preference for poly(U). TbRGG2 protein levels are up-regulated 10-fold in procyclic form T. brucei compared with bloodstream forms. Nevertheless, the protein is essential for growth in both life cycle stages. TbRGG2 associates with RNase-sensitive and RNase-insensitive mitochondrial complexes, and a small fraction of the protein co-immunoprecipitates with editosomes. RNA interference-mediated depletion of TbRGG2 in both procyclic and bloodstream form T. brucei leads to a dramatic decrease in pan-edited RNAs and in some cases a corresponding increase in the pre-edited RNA. TbRGG2 down-regulation also results in moderate stabilization of never-edited and minimally edited RNAs. Thus, our data are consistent with a model in which TbRGG2 is multifunctional, strongly facilitating the editing of pan-edited RNAs and modestly destabilizing minimally edited and never-edited RNAs. This is the first example of an RNA editing accessory factor that functions in the mammalian infective T. brucei life cycle stage.     

Analyses of SELEX-derived ZAP-binding RNA aptamers suggest that the binding specificity is determined by both structure and sequence of the RNA

The zinc-finger antiviral protein (ZAP) is a host factor that specifically inhibits the replication of certain viruses, including murine leukemia virus, Sindbis virus and Ebola virus, by targeting the viral mRNAs for degradation. ZAP directly binds to the target viral mRNA and recruits the cellular RNA degradation machinery to degrade the RNA. No significant sequence similarity or obvious common motifs have been found in the so far identified target viral mRNAs. The minimum length of the target sequence is about 500nt long. Short workable ZAP-binding RNAs should facilitate further studies on the ZAP-RNA interaction and characterization of such RNAs may provide some insights into the underlying mechanism. In this study, we used the SELEX method to isolate ZAP-binding RNA aptamers. After 21 rounds of selection, ZAP-binding aptamers were isolated. Sequence analysis revealed that they are G-rich RNAs with predicted stem-loop structures containing conserved “GGGUGG” and “GAGGG” motifs in the loop region. Insertion of the aptamer sequence into a luciferase reporter failed to render the reporter sensitive to ZAP. However, overexpression of the aptamers modestly but significantly reduced ZAP’s antiviral activity. Substitution of the conserved motifs of the aptamers significantly impaired their ZAP-binding ability and ZAP-antagonizing activity, suggesting that the RNA sequence is important for specific interaction between ZAP and the target RNA. The aptamers identified in this report should provide useful tools to further investigate the details of the interaction between ZAP and the target RNAs.     

Characterization of RNA binding specificity of the Drosophila sex-lethal protein by in vitro ligand selection.

The Drosophila sex-lethal (Sxl) protein, a regulator of somatic sexual differentiation, is an RNA binding protein with two potential RNA recognition motifs (RRMs). It is thought to exert its function on splicing by binding to specific RNA sequences within Sxl and transformer (tra) pre-mRNAs. To examine the Sxl RNA binding specificity in detail, we performed in vitro selection and amplification of ligand RNAs from a random sequence pool on the basis of affinity with Sxl protein. After three cycles of selection and amplification, we cloned and sequenced 17 cDNAs corresponding to the RNAs selected in vitro. Sequencing showed that most of the RNAs selected contain polyuridine stretches surrounded by purine residues. In vitro binding analysis revealed that the sequences of the in vitro selected RNAs with relatively high affinity for Sxl show similarity to that of the Sxl- and tra-regulated acceptor regions, including the invariant AG sequence for splicing. These results suggest that Sxl recognizes and preferentially binds to a polyuridine stretch with a downstream AG sequence.     

Selection of a novel class of RNA-RNA interaction motifs based on the ligase ribozyme with defined modular architecture

To develop molecular tools for the detection and control of RNA molecules whose functions rely on their 3D structures, we have devised a selection system to isolate novel RNA motifs that interact with a target RNA structure within a given structural context. In this system, a GAAA tetraloop and its specific receptor motif (11-ntR) from an artificial RNA ligase ribozyme with modular architecture (the DSL ribozyme) were replaced with a target structure and random sequence, respectively. Motifs recognizing the target structure can be identified by in vitro selection based on ribozyme activity. A model selection targeting GAAA-loop successfully identified motifs previously known as GAAA-loop receptors. In addition, a new selection targeting a C-loop motif also generated novel motifs that interact with this structure. Biochemical analysis of one of the C-loop receptor motifs revealed that it could also function as an independent structural unit.     

The first phytoplasma RNase P RNA provides new insights into the sequence requirements of this ribozyme

A high variability of RNase P RNA structures is seen among members of the Mycoplasma group. To gain further insight into the structure–function relations of this ribozyme, we have searched for the RNase P RNA gene from more distant relatives, the phytoplasmas. These mycoplasma-like organisms are the aetiological agents of many severe plant diseases. We report the sequence and catalytic properties of RNase P RNA from the phytoplasma causing apple proliferation disease. The primary and postulated secondary structure of this 443 nt long RNA are most similar to those of Acholeplasma, supporting the phylogenetic position of this pathogen. Remarkably, the extremely AT-rich (73.6%) phytoplasma RNA differs from the known bacterial consensus sequence by a single base pair, which is positioned close to the substrate cleavage site in current three-dimensional models. Phytoplasma RNase P RNA functions as an efficient ribozyme in vitro. Conversion of its sequence to the full consensus and kinetic analysis of the resulting mutant RNAs suggests that neither the sequence alone, nor the type of pairing at this position is crucial for substrate binding or catalysis by the RNase P ribozyme. These results refine the bacterial consensus structure close to the catalytic core and thus improve our understanding of RNase P RNA function.     

The protein cofactor allows the sequence of an RNase P ribozyme to diversify by maintaining the catalytically active structure of the enzyme.

To study the effect proteins have on the catalysis and evolution of RNA enzymes, we simulated evolution of RNase P catalytic M1 RNA in vitro, in the presence and absence of its C5 protein cofactor. In the presence of C5, functional M1 sequence variants (not catalytically active in the absence of C5) were selected in addition to those identical to M1. C5 maintains the catalytically active structure of the variants and allows for an enhanced spectrum of M1 molecules to function in the context of a ribonucleoprotein (RNP) complex. The generation of an RNP enzyme, requiring both RNA and protein components, from a catalytically active RNA molecule has implications for how modern RNP complexes evolved from ancestral RNAs.     

Saccharomyces SRP RNA secondary structures: a conserved S-domain and extended Alu-domain

The contribution made by the RNA component of signal recognition particle (SRP) to its function in protein targeting is poorly understood. We have generated a complete secondary structure for Saccharomyces cerevisiae SRP RNA, scR1. The structure conforms to that of other eukaryotic SRP RNAs. It is rod-shaped with, at opposite ends, binding sites for proteins required for the SRP functions of signal sequence recognition (S-domain) and translational elongation arrest (Alu-domain). Micrococcal nuclease digestion of purified S. cerevisiae SRP separated the S-domain of the RNA from the Alu-domain as a discrete fragment. The Alu-domain resolved into several stable fragments indicating a compact structure. Comparison of scR1 with SRP RNAs of five yeast species related to S. cerevisiae revealed the S-domain to be the most conserved region of the RNA. Extending data from nuclease digestion with phylogenetic comparison, we built the secondary structure model for scR1. The Alu-domain contains large extensions, including a sequence with hallmarks of an expansion segment. Evolutionarily conserved bases are placed in the Alu- and S-domains as in other SRP RNAs, the exception being an unusual GU(4)A loop closing the helix onto which the signal sequence binding Srp54p assembles (domain IV). Surprisingly, several mutations within the predicted Srp54p binding site failed to disrupt SRP function in vivo. However, the strength of the Srp54p-scR1 and, to a lesser extent, Sec65p-scR1 interaction was decreased in these mutant particles. The availability of a secondary structure for scR1 will facilitate interpretation of data from genetic analysis of the RNA.     

In vitro RNA random pools are not structurally diverse: a computational analysis

In vitro selection of functional RNAs from large random sequence pools has led to the identification of many ligand-binding and catalytic RNAs. However, the structural diversity in random pools is not well understood. Such an understanding is a prerequisite for designing sequence pools to increase the probability of finding complex functional RNA by in vitro selection techniques. Toward this goal, we have generated by computer five random pools of RNA sequences of length up to 100 nt to mimic experiments and characterized the distribution of associated secondary structural motifs using sets of possible RNA tree structures derived from graph theory techniques. Our results show that such random pools heavily favor simple topological structures: For example, linear stem-loop and low-branching motifs are favored rather than complex structures with high-order junctions, as confirmed by known aptamers. Moreover, we quantify the rise of structural complexity with sequence length and report the dominant class of tree motifs (characterized by vertex number) for each pool. These analyses show not only that random pools do not lead to a uniform distribution of possible RNA secondary topologies; they point to avenues for designing pools with specific simple and complex structures in equal abundance in the goal of broadening the range of functional RNAs discovered by in vitro selection. Specifically, the optimal RNA sequence pool length to identify a structure with x stems is 20x.     

RNA global alignment in the joint sequence–structure space using elastic shape analysis

The functions of RNAs, like proteins, are determined by their structures, which, in turn, are determined by their sequences. Comparison/alignment of RNA molecules provides an effective means to predict their functions and understand their evolutionary relationships. For RNA sequence alignment, most methods developed for protein and DNA sequence alignment can be directly applied. RNA 3-dimensional structure alignment, on the other hand, tends to be more difficult than protein structure alignment due to the lack of regular secondary structures as observed in proteins. Most of the existing RNA 3D structure alignment methods use only the backbone geometry and ignore the sequence information. Using both the sequence and backbone geometry information in RNA alignment may not only produce more accurate classification, but also deepen our understanding of the sequence–structure–function relationship of RNA molecules. In this study, we developed a new RNA alignment method based on elastic shape analysis (ESA). ESA treats RNA structures as three dimensional curves with sequence information encoded on additional dimensions so that the alignment can be performed in the joint sequence–structure space. The similarity between two RNA molecules is quantified by a formal distance, geodesic distance. Based on ESA, a rigorous mathematical framework can be built for RNA structure comparison. Means and covariances of full structures can be defined and computed, and probability distributions on spaces of such structures can be constructed for a group of RNAs. Our method was further applied to predict functions of RNA molecules and showed superior performance compared with previous methods when tested on benchmark datasets. The programs are available at http://stat.fsu.edu/ ∼jinfeng/ESA.html.