Probing the TRAP-RNA interaction with nucleoside analogs

The trp RNA-binding Attenuation Protein (TRAP) from Bacillus subtilis binds a series of GAG and UAG repeats separated by 2-3 nonconserved spacer nucleotides in trp leader mRNA. To identify chemical groups on the RNA required for stability of the TRAP-RNA complex, we introduced several different nucleoside analogs into each pentamer of the RNA sequence 5'-(UAGCC)-3' repeated 11 times and measured their effect on the TRAP-RNA interaction. Deoxyribonucleoside substitutions revealed that a 2'-hydroxyl group (2'-OH) is required only on the guanosine occupying the third residue of the RNA triplets for high-affinity binding to TRAP. The remaining hydroxyl groups are dispensable. Base analog substitutions identified all of the exocyclic functional groups and N1 nitrogens of adenine and guanine in the second and third nucleotides, respectively, of the triplets as being involved in binding TRAP. In contrast, none of the substitutions made in the first residue caused any detectable changes in affinity, indicating that elements of these bases are not necessary for complex formation and stability. Studies using abasic nucleotides in the first residue of the triplets and in the two spacer residues confirmed that the majority of the specificity and stability of the TRAP-RNA complex is provided by the AG dinucleotide of the triplet repeats. In addition to direct effects on binding, we demonstrate that the N7-nitrogen of adenosine and guanosine in UAG triplet and the 2'-OHs of (UAGCC)11 RNA are involved in the formation of an as yet undetermined structure that interferes with TRAP binding.     

The mechanism of RNA binding to TRAP: initiation and cooperative interactions

The trp RNA-binding Attenuation Protein (TRAP) from Bacillus subtilis is an 11-subunit protein that binds a series of 11 GAG and UAG repeats separated by two to three-spacer nucleosides in trp leader mRNA. The structure of TRAP bound to an RNA containing 11 GAG repeats shows that the RNA wraps around the outside of the protein ring with each GAG interacting with the protein in nearly identical fashion. The only direct hydrogen bond interactions between the protein and the RNA backbone are to the 2'-hydroxyl groups on the third G of each repeat. Replacing all 11 of these guanosines with deoxyriboguanosine eliminates measurable binding to TRAP. In contrast, a single riboguanosine in an otherwise entirely DNA oligonucleotide dramatically stabilizes TRAP binding, and facilitates the interaction of the remaining all-DNA portion with the protein. Studies of TRAP binding to RNAs with between 2 and 11 GAGs, UAGs, AAGs, or CAGs showed that the stability of a TRAP-RNA complex is not directly proportional to the number of repeats in the RNA. These studies also showed that the effect of the identity of the residue in the first position of the triplet, with regard to binding to TRAP, is dependent on the number of repeats in the RNA. Together these data support a model in which TRAP binds to RNA by first forming an initial complex with a small subset of the repeats followed by a cooperative interaction with the remaining triplets.     

Creating hetero-11-mers composed of wild-type and mutant subunits to study RNA binding to TRAP.

TRAP (trp RNA-binding attenuation protein) is an RNA-binding protein that regulates expression of the tryptophan biosynthetic genes in Bacillus subtilis by binding to RNA targets that contain multiple GAG and UAG repeats. TRAP is composed of 11 identical subunits arranged symmetrically in a ring. The secondary structure of the protein consists entirely of antiparallel beta-sheets, beta-turns, and loops. We show here that the TRAP 11-mer can be reversibly denatured into unfolded monomers by guanidine hydrochloride. Removing the denaturant allows the protein to spontaneously renature into fully functional 11-mers. Based on this finding, we developed a subunit mixing method to hybridize wild-type and mutant subunits into heteromeric 11-mers by denaturation followed by subunit mixing renaturation. This method allows the study of subunit cooperativity in protein-ligand interaction such as RNA binding. Our data further support and extend the previously proposed two-step model for RNA binding to TRAP by showing that the initiation of binding requires at least one fully active subunit in the protein combined with one fully functional repeat in the RNA. The initiation complex tethers the RNA on the protein, thus allowing cooperative interaction with the remainder of the repeats.     

Small structural costs for evolution from RNA to RNP-based catalysis

Typical RNA-based cellular catalysts achieve their active structures only as complexes with protein cofactors, implying that protein binding compensates for some structural deficiencies in the RNA. An unresolved question was the extent to which protein-facilitation imposes additional structural costs, by requiring that an RNA maintain structures required for protein binding, beyond those required for catalysis. We used nucleotide analog interference to identify initially 71 functional group substitutions at phosphate, 2'-ribose, and adenosine base positions that compromise RNA self-splicing in the bI5 group I intron. Protein-facilitated splicing by CBP2 suppresses 11 of 30 interfering substitutions at the RNA backbone and a greater fraction, 27 of 41, at the adenosine base, including at structures conserved among group I introns. Only one substitution directly interferes with protein binding but not with self-splicing. This substitution, plus three adenosine base modifications that interfere more strongly in CBP2-dependent splicing than in self-splicing, yield a cost for protein facilitation of only four functional groups, as approximated by this set of analogs. The small observed structural cost provides a strong physical rationale for the evolutionary drive from RNA to RNP-based function in biology. Remarkably, the four extra requirements do not appear to report disruption of direct protein-RNA contacts and instead likely reflect design against misfolding rather than for maintenance of a protein-binding site.     

Investigation of adenosine base ionization in the hairpin ribozyme by nucleotide analog interference mapping.

Tertiary structure in globular RNA folds can create local environments that lead to pKa perturbation of specific nucleotide functional groups. To assess the prevalence of functionally relevant adenosine-specific pKa perturbation in RNA structure, we have altered the nucleotide analog interference mapping (NAIM) approach to include a series of a phosphorothioate-tagged adenosine analogs with shifted N1 pKa values. We have used these analogs to analyze the hairpin ribozyme, a small self-cleaving/ligating RNA catalyst that is proposed to employ a general acid-base reaction mechanism. A single adenosine (A10) within the ribozyme active site displayed an interference pattern consistent with a functionally significant base ionization. The exocyclic amino group of a second adenosine (A38) contributes substantially to hairpin catalysis, but ionization of the nucleotide does not appear to be important for activity. Within the hairpin ribozyme crystal structure, A10 and A38 line opposite edges of a solvent-excluded cavity adjacent to the 5'-OH nucleophile. The results are inconsistent with the model of ribozyme chemistry in which A38 acts as a general acid-base catalyst, and suggest that the hairpin ribozyme uses an alternative mechanism to achieve catalytic rate enhancement that utilizes functional groups within a solvent-excluded cleft in the ribozyme active site.     

Identification,functional characterization,assembly and structure of ToxIN type III toxin–antitoxin complex from E. coli

Toxin–antitoxin (TA) systems are proposed to play crucial roles in bacterial growth under stress conditions such as phage infection. The type III TA systems consist of a protein toxin whose activity is inhibited by a noncoding RNA antitoxin. The toxin is an endoribonuclease, while the antitoxin consists of multiple repeats of RNA. The toxin assembles with the individual antitoxin repeats into a cyclic complex in which the antitoxin forms a pseudoknot structure. While structure and functions of some type III TA systems are characterized, the complex assembly process is not well understood. Using bioinformatics analysis, we have identified type III TA systems belonging to the ToxIN family across different Escherichia coli strains and found them to be clustered into at least five distinct clusters. Furthermore, we report a 2.097 Å resolution crystal structure of the first E. coli ToxIN complex that revealed the overall assembly of the protein-RNA complex. Isothermal titration calorimetry experiments showed that toxin forms a high-affinity complex with antitoxin RNA resulting from two independent (5′ and 3′ sides of RNA) RNA binding sites on the protein. These results further our understanding of the assembly of type III TA complexes in bacteria.     

Dissecting the protein-RNA interface: the role of protein surface shapes and RNA secondary structures in protein-RNA recognition

Protein-RNA interactions are essential for many biological processes. However, the structural mechanisms underlying these interactions are not fully understood. Here, we analyzed the protein surface shape (dented, intermediate or protruded) and the RNA base pairing properties (paired or unpaired nucleotides) at the interfaces of 91 protein-RNA complexes derived from the Protein Data Bank. Dented protein surfaces prefer unpaired nucleotides to paired ones at the interface, and hydrogen bonds frequently occur between the protein backbone and RNA bases. In contrast, protruded protein surfaces do not show such a preference, rather, electrostatic interactions initiate the formation of hydrogen bonds between positively charged amino acids and RNA phosphate groups. Interestingly, in many protein-RNA complexes that interact via an RNA loop, an aspartic acid is favored at the interface. Moreover, in most of these complexes, nucleotide bases in the RNA loop are flipped out and form hydrogen bonds with the protein, which suggests that aspartic acid is important for RNA loop recognition through a base-flipping process. This study provides fundamental insights into the role of the shape of the protein surface and RNA secondary structures in mediating protein-RNA interactions.     

Quantitation of free energy profiles in RNA-ligand interactions by nucleotide analog interference mapping

RNA interactions with protein and small molecule ligands serve a wide variety of biochemical functions in the cell. To best understand the specificity and affinity of these interactions, the free energy contribution made by individual function groups in the RNA must be determined. As an efficient method for obtaining such energetic profiles, we report quantitative nucleotide analog interference mapping (QNAIM). This extension of the NAIM methodology uses the magnitude of analog interference as a function of ligand concentration to calculate binding constants for RNA with individual analog substitutions. In this way, QNAIM not only defines which functional groups are important to an interaction but simultaneously determines the energetic contribution made by each occurrence of that functional group within the RNA polymer. To establish the utility of this approach, QNAIM was used to quantify functional group interactions within the signal recognition particle (SRP), specifically the 4.5S RNA with the M domain of Ffh. In each of the cases in which energetic data were available from previous site-specific substitution analyses, QNAIM provided nearly equivalent results. These experiments on a model system demonstrate that QNAIM is an efficient method to establish a chemically detailed free energy profile for a wide variety of RNA-ligand interactions.     

Computational methods for prediction of protein-RNA interactions

Understanding the molecular mechanism of protein-RNA recognition and complex formation is a major challenge in structural biology. Unfortunately, the experimental determination of protein-RNA complexes by X-ray crystallography and nuclear magnetic resonance spectroscopy (NMR) is tedious and difficult. Alternatively, protein-RNA interactions can be predicted by computational methods. Although less accurate than experimental observations, computational predictions can be sufficiently accurate to prompt functional hypotheses and guide experiments, e.g. to identify individual amino acid or nucleotide residues. In this article we review 10 methods for predicting protein-RNA interactions, seven of which predict RNA-binding sites from protein sequences and three from structures. We also developed a meta-predictor that uses the output of top three sequence-based primary predictors to calculate a consensus prediction, which outperforms all the primary predictors. In order to fully cover the software for predicting protein-RNA interactions, we also describe five methods for protein-RNA docking. The article highlights the strengths and shortcomings of existing methods for the prediction of protein-RNA interactions and provides suggestions for their further development.