Abstract
RNA folding in vivo is significantly influenced by transcription, which is not necessarily recapitulated by Mg2+-induced folding of the corresponding full length RNA in vitro. Riboswitches that regulate gene expression at the transcriptional level are an ideal system for investigating this aspect of RNA folding as ligand-dependent termination is obligatorily co-transcriptional, providing a clear readout of the folding outcome. The folding of representative members of the SAM-I family of riboswitches have been extensively analyzed using approaches focusing almost exclusively upon Mg2+ and/or S-adenosylmethionine (SAM)-induced folding of full length transcripts of the ligand binding domain. To relate these findings to co-transcriptional regulatory activity, we have investigated a set of structure-guided mutations of conserved tertiary architectural elements of the ligand binding domain using an in vitro single-turnover transcriptional termination assay, complemented with phylogenetic analysis and isothermal titration calorimetry data. This analysis revealed a conserved internal loop adjacent to the SAM binding site that significantly affects ligand binding and regulatory activity. Conversely, most single point mutations throughout key conserved features in peripheral tertiary architecture supporting the SAM binding pocket have relatively little impact on riboswitch activity. Instead, a secondary structural element in the peripheral subdomain appears to be the key determinant in observed differences in regulatory properties across the SAM-I family. These data reveal a highly coupled network of tertiary interactions that promote high fidelity co-transcriptional folding of the riboswitch, but are only indirectly linked to regulatory tuning.
Keywords: RNA structure, co-transcriptional RNA folding, S-adenosylmethionine, pseudoknot, kink-turn
Graphical Abstract
Introduction
Discoveries within the past decade have revealed that most organisms use a diverse array of noncoding RNAs to regulate important cellular functions [1–3]. Most astonishing is the mounting evidence for pervasive transcription of nearly the entire human genome with only a small minority of these transcripts known to be protein coding [4–6]. For many of these RNAs, their function is likely to be dictated by secondary and tertiary structure rather than just their primary sequence, as is the case for microRNAs and CRISPR RNAs [7]. Several decades of studying the folding of complex RNAs suggest a hierarchical model in which secondary and tertiary structure formation are decoupled [8]. Further, RNA folding is often frustrated by a rugged landscape, where misfolding leads to slow and multiphasic RNA folding [9, 10], which is problematic for short-lived and temporally constrained RNAs. The problem of misfolding becomes exponentially more challenging as the length of RNA increases, as in long non-coding RNAs which can be many kilobases in length.
However, recent studies on RNA folding are beginning to challenge these ideas. For example, tertiary interactions within the group I ribozyme are strongly coupled and cooperativity occurs early in the folding process to suppress incorrect structures [11]. The coupled and cooperative tertiary interactions assist the RNA in traversing a rugged folding landscape. Further, studies have recently started to focus on RNA structure and folding under conditions mimicking physiological conditions [12–14] or co-transcriptional constraints [15–17]. Transcriptional riboswitches are an ideal model system for studying RNA folding under co-transcriptional constraints because a regulatory decision via transcriptional termination or read-through must be made at the time the RNA polymerase reaches the poly-uridine tract of the intrinsic (rho-independent) terminator [18]. This is a relatively simple read-out of the folding outcome of the RNA during transcription. For example, a pioneering study used single molecule force extension spectroscopy to study the co-transcriptional folding of an adenine riboswitch, revealing that ligand binding inhibited transcriptional termination through formation of a temporary kinetic trap [16]. These preliminary findings need to be extended to other riboswitches to determine if these emerging ideas are general themes.
One of the most prevalent classes of riboswitches in bacteria is the SAM clan of riboswitches (Rfam clan accession code CL00012) composed of the SAM-I (Rfam family accession code RF00162), SAM-IV (RF00634), and SAM-I/IV riboswitches (RF01725). All members of this clan bind S-adenosylmethionine (SAM) through a set of almost invariant sequence elements within and surrounding a central four-way junction [19–23]. The four-way junction is flanked by four helices (P1–P4; Fig. 1) that organize into two sets of coaxial stacks, P1/P4 and P2/P3, joined together by J1/2 and J3/4. The adenine nucleobase of SAM is part of a base triple with A84 and U157 (numbering based on the Bacillus subtilis metE SAM-I sequence, Fig. 1) within internal loop 3a (IL3a), with additional stabilization through stacking with C86. The methionine moiety makes four hydrogen bond contacts with a C83-G158•G47 base triple tying J1/2 to the P3 helix. Selectivity for SAM over its product form (S-adenosylhomocysteine, SAH) is due to the positively charged sulfonium group of SAM forming electrostatic interactions with the carbonyl groups of U43 and U187 (or in the case of the SAM-IV riboswitch, a guanosine) within the P1 helix.
While the binding core is almost invariant across the SAM clan, the peripheral architecture is highly divergent [20, 24–27]. The three member families of the SAM clan are distinguished by differences in their peripheral architecture around the core. The SAM-I family is defined by the presence of the PK1 subdomain (Fig. 1) and the lack of the PK2 subdomain found in the SAM-IV and SAM-I/IV families [22, 23]. The PK1 subdomain buttresses the SAM binding pocket via a characteristic pseudoknot (PK) between the hairpin loop of P2 (L2) and the J3/4 junction [28]. Positioning of L2 is promoted by a kink-turn (KT) module within P2 for SAM-I riboswitches, a feature absent in the SAM-IV family which also has the PK1 subdomain [19].
Previous studies of the SAM-I family have almost exclusively focused on conserved elements in the binding pocket and SAM binding affinity. The most important insights into the potential role of the peripheral architecture in regulatory activity have come from a study that analyzed the eleven SAM riboswitches found in the genome of B. subtilis. Within B. subtilis, the SAM-I family of riboswitches shows variations in ligand-binding affinity and switching capability both in vitro and in vivo [29]. This study found that riboswitches controlling transcriptional units regulating biosynthetic genes are responsive to lower concentrations of SAM than those regulating genes involved in transport processes. Given the absolute conservation of the core of these RNAs, these data further suggest that elements outside the binding pocket are responsible for tuning the regulatory properties of individual SAM-I riboswitches. This data is consistent with other work also showing a high degree of variation in the affinity of other SAM-I riboswitch aptamer domains for SAM [27, 30].
To define the role of tertiary interactions in the PK1 subdomain of SAM-I riboswitches in folding and regulatory activity, we chose to use the B. subtilis metE riboswitch (Fig. 1) as a model system. Both in vitro and in vivo experiments have shown metE to be a robust and functional SAM-responsive riboswitch [29]. While the aptamer of this specific riboswitch has not been characterized in depth, other binding domains from the same family with significant sequence similarity have been studied [22, 23, 31]. The metE riboswitch has a high dynamic range in the context of the in vitro transcription assay [29, 32, 33] and the activities of the aptamer domain are modular and functional in synthetic chimeras [32, 33]. Finally, there are differences in the tertiary architecture outside the binding core compared to the other well-studied riboswitches in the SAM-I family that serve as a basis for understanding structural diversity within the SAM-I family. These include an extended P3 helix, non-canonical features within the kink-turn, and a pseudoknot composed of three base-pairs which is positioned slightly differently by having an additional base-pair in P2a. Understanding how these differences impact activity can serve to inform how variation within the family can yield regulatory tuning. Therefore, metE represents an ideal basis for this study because we can compare and contrast it with information gathered from other members of the SAM-I family of riboswitches.
We present in vitro transcription data complemented with bioinformatic and calorimetric binding analyses revealing a likely structural basis for regulatory tuning of SAM-I riboswitches. First, we demonstrate the importance of a bulged adenosine within internal loop 3b (IL3b) of P3 directly adjacent to the SAM-binding pocket. A single point deletion of this conserved adenosine is highly deleterious to function. Surprisingly, deletion or alteration of a number of conserved features throughout the PK1 subdomain have relatively little impact upon SAM-dependent transcriptional termination, with only the most severely deleterious point mutations to specific structural features showing disruption of activity. This suggests a highly cooperative network of interactions stabilizing the PK1 subdomain and its support of the SAM binding pocket. Finally, we demonstrate the loss of IL3b can be partially rescued by stabilizing mutations in the PK1 subdomain, indicating long-range coupling between this element and the peripheral architecture.
Results
Validation of the B. subtilis metE SAM-I riboswitch reporter
To assess the role of tertiary structure acquisition on riboswitch activity, we used a standard single-turnover in vitro transcription assay [34] to analyze a series of structure-guided mutations in the aptamer [20, 22, 23]. The single turnover in vitro transcription assay has been used to characterize other riboswitches including the lysine riboswitch [35, 36], the adenine riboswitch [37, 38], the magnesium riboswitch [39] and artificial riboswitches [32, 33]. This assay provides two important parameters: T50, the amount of ligand required to elicit half-maximal regulatory response, and dynamic range (DR), the amplitude of response as the difference between fraction terminated at low and high ligand concentration. T50 values are an indirect measurement of the binding affinity of the riboswitch for its ligand, with higher T50 values indicating weaker binding. The dynamic range reports on the ability of the riboswitch to shift from the “ON” state to the “OFF” state under the co-transcriptional conditions, so a decrease in the dynamic range indicates a smaller population of riboswitches capable of effectively switching conformations. It is important to note in this study we used E. coli RNA polymerase (RNAP) rather than B. subtilis RNAP. While E. coli RNAP is less responsive to polymerase terminators [40], only minor differences in T50s and dynamic range have been observed between the two RNAPs for several different riboswitches [37, 41].
To validate that the metE riboswitch is functional in the single round in vitro transcription assay, initial experiments were performed with the full-length riboswitch (Fig. 2A and 2B, Table 1). The observed T50 (T50,obs) was 1.6 ± 0.4 μM with a dynamic range of 0.26 ± 0.01 (ranging from 0.66 to 0.92 ) (Table 1). This is a reduction in activity of the riboswitch as compared to that previously observed (dynamic range of 0.77 and a T50,obs of 0.5 μM) [29]. This discrepancy is likely due to variations in the methodology; notably, the prior study used a glyQS promoter region, pausing of the transcription reaction after initiation and stable complex formation (20–30 nucleotides), an RNA that was shorter on the 5′ end, higher magnesium concentration (10 mM versus 2.5 mM) and B. subtilis RNAP [24, 29]. To test if we could get an increased dynamic range consistent with previous work, we removed the first sixteen nucleotides, which we refer to as the metEΔ 16 variant (Fig. 1). This riboswitch has the same T50,obs (1.9 ± 0.5 μM) as wild type, but a significantly increased dynamic range of 0.66 ± 0.03 (ranging from 0.21 to 0.87) (Fig. 2A and 2B, Table 1). The larger dynamic range of the metEΔ 16 variant facilitated quantifying SAM-dependent transcriptional termination, and therefore all further experiments were performed in the context of the metEΔ 16 deletion.
Table 1.
Tertiary Element | Variant | T50,obs, (μM) | Dynamic Range | Fraction terminated, (−) SAM | Fraction terminated, (+) SAM |
---|---|---|---|---|---|
wild type | 1.6 ± 0.4 | 0.26 ± 0.01 | 0.66 ± 0.01 | 0.92 ± 0.01 | |
Δ16 | 1.9 ± 0.5 | 0.66 ± 0.03 | 0.21 ± 0.02 | 0.87 ± 0.03 | |
IL3a | U157A | N.D. | N.D. | N.D. | N.D. |
P3 | P3S | N.D. | N.D. | N.D. | N.D. |
P3M | 2.8 ± 0.6 | 0.56 ± 0.03 | 0.28 ± 0.03 | 0.84 ± 0.03 | |
IL3b | A89G | 2.0 ± 0.7 | 0.58 ± 0.03 | 0.16 ± 0.03 | 0.74 ± 0.03 |
A153C | 9 ± 1 | 0.61 ± 0.02 | 0.23 ± 0.01 | 0.84 ± 0.02 | |
A153G | 6.6 ± 0.9 | 0.69 ± 0.02 | 0.17 ± 0.01 | 0.86 ± 0.02 | |
Δ153 | 60 ± 60 | 0.16 ± 0.05 | 0.19 ± 0.01 | 0.35 ± 0.05 | |
A89G/Δ153 | 90 ± 4 | 0.24 ± 0.04 | 0.20 ± 0.01 | 0.44 ± 0.04 | |
Kink-turn | A57C | 90 ± 70 | 0.10 ± 0.02 | 0.25 ±0.01 | 0.35 ± 0.02 |
A73C | 2.2 ± 0.4 | 0.46 ± 0.01 | 0.20 ± 0.01 | 0.66 ± 0.01 | |
U68C | 2.1 ± 0.3 | 0.65 ± 0.01 | 0.24 ± 0.01 | 0.89 ± 0.01 | |
Kink-turn–bulge | GAU | 2.2 ± 0.3 | 0.66 ± 0.01 | 0.27 ± 0.01 | 0.93 ± 0.01 |
GUA | 1.9 ± 0.1 | 0.67 ± 0.01 | 0.22 ± 0.01 | 0.89 ± 0.01 | |
AAU | 1.5 ± 0.2 | 0.70 ± 0.03 | 0.17 ± 0.01 | 0.87 ± 0.03 | |
Kink-turn 3b•3n | C55G | 1.7 ± 0.5 | 0.57 ± 0.02 | 0.19 ± 0.02 | 0.76 ± 0.02 |
C74G | 1.7 ± 0.7 | 0.53 ± 0.04 | 0.20 ± 0.03 | 0.73 ± 0.04 | |
C74U | 2.1 ± 0.3 | 0.46 ±0.02 | 0.18 ± 0.01 | 0.64 ± 0.02 | |
C55G/C74A | 4 ± 1 | 0.58 ± 0.03 | 0.26 ± 0.02 | 0.84 ± 0.03 | |
P2a length | P2+1bp | 60 ± 50 | 0.12 ± 0.02 | 0.17 ± 0.01 | 0.29 ± 0.02 |
P2Δ1bp | 1.4 ± 0.4 | 0.66 ± 0.03 | 0.22 ± 0.01 | 0.88 ± 0.03 | |
P2Δ2bp | N.D. | N.D. | N.D. | N.D. | |
P2Δ3bp | N.D. | N.D. | N.D. | N.D. | |
Pseudoknot–Composition | G64C/G65C | 70 ± 30 | 0.08 ± 0.01 | 0.23 ± 0.01 | 0.31 ± 0.01 |
U62A | 2.1 ± 0.3 | 0.68 ± 0.02 | 0.17 ± 0.01 | 0.85 ± 0.02 | |
U62C/U168G | 1.8 ± 0.2 | 0.57 ± 0.01 | 0.23 ± 0.01 | 0.80 ± 0.01 | |
U63A | 2.1 ± 0.2 | 0.58 ± 0.01 | 0.21 ± 0.01 | 0.79 ± 0.01 | |
G64C | 2.1 ± 0.4 | 0.56 ± 0.02 | 0.18 ± 0.01 | 0.74 ± 0.02 | |
G65C | 60 ± 30 | 0.13 ± 0.02 | 0.20 ± 0.01 | 0.33 ± 0.02 | |
U63A/G64C | 100 ± 300 | 0.13 ± 0.09 | 0.27 ± 0.02 | 0.40 ± 0.09 | |
Pseudoknot–base triples | A61C | 2.7 ± 0.3 | 0.56 ± 0.01 | 0.20 ± 0.01 | 0.76 ± 0.01 |
U164C | 2.2 ± 0.3 | 0.62 ± 0.01 | 0.10 ± 0.01 | 0.72 ± 0.01 | |
A161C | 14 ± 3 | 0.57 ± 0.03 | 0.27 ± 0.02 | 0.84 ± 0.03 | |
A162C | 4.5 ± 0.9 | 0.63 ± 0.03 | 0.19 ± 0.01 | 0.82 ± 0.03 | |
A161C/A162C | 2.2 ± 0.4 | 0.64 ± 0.03 | 0.10 ± 0.02 | 0.74 ± 0.03 | |
Double Mutants | Δ153 U62A | 80 ± 30 | 0.38 ± 0.05 | 0.23 ± 0.01 | 0.61 ± 0.05 |
Δ153 P2Δ1bp | 29 ± 5 | 0.60 ± 0.04 | 0.25 ± 0.01 | 0.85 ± 0.04 |
N.D. = not detected
To verify that the observed termination is the result of SAM binding, a mutation that impairs binding (U157A) was tested. This residue directly interacts with the adenine moiety of SAM [22, 23] and is universally conserved across phylogeny [42]. The U157A mutant in the context of the aptamer domain alone (spanning nucleotides 37–192: Fig. 1) weakly binds SAM with a KD,obs = 24 ± 7 μM as measured by isothermal titration calorimetry (ITC), whereas the wild-type aptamer domain binds with a KD,obs = 0.079 ± 0.008 μM (Table 2, raw thermogram data shown in Fig. S1). N-methylisatoic anhydride (NMIA) chemical probing (typically referred to as selective 2′-hydroxyl acylation analyzed by primer extension or "SHAPE" [43]) of the aptamer domains of the wild type riboswitch and the U157A mutant had similar nucleotide reactivity patterns without ligand (Fig. 2C), demonstrating that the U157A mutant RNA has the same local and global structure as the wild type riboswitch, analogous to a point mutation in the SAM-I/IV riboswitch [20]. Despite the same secondary and tertiary structure as wild type, the U157A abrogates all SAM-dependent NMIA chemical protection patterns observed in the wild type RNA, demonstrating that this mutant solely affects SAM binding and not RNA structure (Fig. 2D). Consistent with the above observations, the U157A mutation is incapable of promoting transcriptional termination in the presence of SAM (Table 1), demonstrating the switching observed in the metE riboswitch is directly due to the binding of SAM with the RNA. Most importantly, the NMIA chemical protections patterns of the metE aptamer domain in the presence and absence of SAM are fully consistent with those of the B. subtilis yitJ and Thermoanaerobacter tengcongensis metF-H2 SAM-I aptamer domains, whose crystal structures are known [23, 28], indicating that metE indeed has the same structure.
Table 2.
Construct | KD, obs (μM) | n |
---|---|---|
B. subtilis metE wild type | 0.079 ± 0.008 | 0.7 ± 0.2 |
U157A | 24 ± 7 | 1.56 ± 0.02 |
A89G/Δ153 | 16 ± 1 | 1.4 ± 0.2 |
Δ153 | N.D. | N.D. |
A89G | 0.09 ± 0.03 | 0.44 ± 0.04 |
A153C | 0.15 ± 0.02 | 0.44 ± 0.04 |
A153G | 0.15 ± 0.02 | 0.43 ± 0.03 |
A57C | N.D. | N.D. |
G64C/G65C | N.D. | N.D. |
P2+1bp | N.D. | N.D. |
P2Δ1bp | 0.046 ± 0.005 | 0.84 ± 0.03 |
P2Δ2bp | 19 ± 4 | 0.50 ± 0.04 |
Tte metF-H2 WT | 0.07 ± 0.01 | 1.1 ± 0.1 |
Tte metF-H2 Δ60 | 0.6 ± 0.2 | 1.4 ± 0.2 |
Δ153 U62A | 8 ± 2 | 2.0 ± 0.1 |
Δ153 P2Δ1bp | 2.3 ± 0.5 | 1.1 ± 0.1 |
N.D. = not detected
An internal loop adjacent to the SAM-binding pocket promotes ligand binding
IL3b, an internal loop within the P3 helix, has been significantly overlooked in respect to its contribution to ligand recognition by the SAM clan of riboswitches. This internal loop, which is positioned near IL3a is variable in both length and sequence, as reflected in the two crystal structures. The T. tengcongensis metF-H2 SAM-I riboswitch aptamer crystal structure (PDB: 2GIS) has a reduced P3 helix that eliminates IL3b, a truncation made to facilitate crystallization [22]. The B. subtilis yitJ SAM-I riboswitch aptamer crystal structure (PDB: 4KQY) also has a reduced P3 helix, but retains IL3b [23]. In the yitJ crystal structure, an adenine (equivalent to A153 in metE) within IL3b interacts with an adenine from IL3a (equivalent to A85 in metE) (Fig. 3A). In this interaction, the exocyclic amino group from each adenine hydrogen bonds with the 2′ hydroxyl group of the other adenine along with π stacking of the two bases. A highly similar interaction is also observed in the crystal structure of the SAM I/IV riboswitch (PDB accession code 4OQU), albeit the composition of IL3b is slightly different [20].
We hypothesized that this interaction may be important for stabilizing the bound state of the SAM-I family of riboswitches and as such the adenine on the 3′-side of IL3b (corresponding to A153 in metE) will be conserved. To verify this, we used a bioinformatics approach with a subset of the sequences in the SAM-I family from Rfam 12.0 database [44]. It is important to emphasize that IL3a and the flanking Watson-Crick C-G base pairs are almost completely invariant across phylogeny, consistent with structural analyses identifying the primary site of RNA-SAM interaction. The only variation is at position 85 (numbering based on metE sequence): adenine is found at this position in 95.9% of sequences and guanine in 4.1%. Within IL3b, greater variation is observed with respect to both the composition and size of the loop (Fig. 3B). Of the aligned sequences, only 2.1% of them do not have IL3b, while another 5.9% do not contain an adenine corresponding to A153 in metE that could interact with IL3a. Thus, while an interaction between IL3a and IL3b is not a universal feature of SAM-I riboswitches, it is highly conserved and hence likely to be important for RNA function.
To address this hypothesis experimentally, we introduced a series of mutations within IL3b of the metE riboswitch interrogating its effect upon SAM binding. Abrogation of this element entirely by capping the P3 helix three base pairs above IL3a with a stable GAAA tetraloop (P3S, Fig. 3C) yielded an RNA displaying no detectable SAM-dependent transcriptional termination (Fig. 3C). This clearly demonstrates the essentiality of IL3b, at least in the context of the metE riboswitch. However, a more conservative truncation of P3 two base pairs above IL3b, again capped with a GAAA tetraloop (P3M, Fig. 3C), results in an RNA whose activity is similar to the parental metEΔ16 RNA with a T50,obs = 2.8 ± 0.6 μM and a dynamic range of 0.56 ± 0.03 (Fig. 3C, Table 1). This indicates that IL3b significantly influences riboswitch activity with minor contributions at best from sequences in P3 further distal from the binding pocket. This is consistent with the observation that beyond IL3b the sequence and structure of P3 is highly variable with no apparent conservation patterns.
The above deletion mutations only illustrate that IL3b affects riboswitch function, but do not identify specific features of the internal loop contributing to activity. To confirm that A153 is the critical residue, we tested the activity of a series of mutations that alter the size and/or composition of IL3b. Deletion of IL3b by mutating adenine 89 to guanine to form a Watson-Crick G-C pair with cytosine 152 and deleting adenine 153 (A89G/Δ153, Fig. 3D) increased the concentration of SAM required to elicit half-maximal regulatory activity by almost 50-fold (T50,obs = 90 ± 40 μM) as well as a diminished dynamic range to 0.24 ± 0.04 (Fig. 3D, Table 1). The A89G/Δ153 variant binds SAM very weakly (KD,obs = 16 ± 1 μM, Table 2), similar to the U157A variant, confirming that the reduction in riboswitch activity is due to diminished ligand binding. Deletion of A153 (Δ153, Fig. 3D) yields an RNA with similar T50,obs and dynamic range values as deletion of IL3b (A89G/Δ153) entirely (T50 = 60 ± 60 μM and a dynamic range of 0.16 ± 0.05; Fig. 3D, Table 1). Furthermore, the Δ153 mutant does not bind SAM as measured by ITC (Table 2). Changing IL3b from a 1x2 internal loop to a single bulged adenine by mutating A89 to a guanine (A89G) yields an RNA with a T50,obs comparable to Δ16 (T50,obs = 2.0 ± 0.7 μM; Fig. 3D, Table 1). The ITC data supports this observation, as the KD,obs is only ~4-fold weaker, but the n-value (reflecting the fraction of active RNA) dropped to below 0.5 (Table 2). To determine whether the interaction between the two internal loops requires an adenine at position 153, two more point mutations were made, A153C and A153G. The increase in T50,obs was only minor less than five-fold indicative that an adenine at this position is preferred, but other nucleotides are tolerated (Fig. 3D, Table 1). Similarly, the binding affinity decreases by about two-fold along with a decrease in the n-value (Table 2) for both mutations, demonstrating that binding is mildly affected by these mutations. These data support the phylogenetic variability of the loop size of IL3b and the preference for an adenine at the 3′-position on the 3′-side of the loop.
Only a consensus kink-turn in the PK1 subdomain is required for promoting ligand binding
Within the SAM clan of riboswitches (SAM-I, SAM-IV and SAM-I/IV), only the SAM-I family uses a conserved classical kink-turn module within “PK1” subdomain to position P2 adjacent to J3/J4 in order to form the pseudoknot that encapsulates the SAM binding pocket [20], and is essential for SAM binding [31]. As such, the SAM-I riboswitch aptamer has become a model system for studying the kink-turn module, providing biophysical data on its folding and structure [45–47]. However, these studies do not provide insights into how variation in the kink-turn module may affect the kinetics of folding or regulatory switching under co-transcriptional conditions. Therefore, we have assessed a series of mutants that investigate the role this module has on riboswitch function.
The importance of the kink turn module in SAM-I function is underscored by a mutation disrupting the most conserved nucleotide in the module. This single point mutant, A57C (Fig. 4), has been shown to have the strongest negative effect on the folding of the kink turn and serves as a negative control to observe the maximum effect its disruption has on riboswitch function. This adenine, along with adenine 73, participate in A-minor interactions stabilizing isolated kink-turns [48]. In the context of the B. subtilis yitJ SAM-I riboswitch aptamer , the mutation of the analogous adenine to a cytosine decreases KD,app for SAM by almost nine-fold [31]. As expected, the A57C mutation causes loss of SAM-dependent switching from the “ON” to the “OFF” state based on our in vitro transcription assay (Fig. 4, Table 1) and SAM binding (Table 2). A similar mutation of adenine 73 to a cytosine (A73C) caused the dynamic range to decrease, but did not affect the T50 (Fig. 4, Table 1), suggesting the folding of the riboswitch is modified by the A73C mutation. This agrees with the hypothesis that the A•G mismatch at position 2b•2n in the kink-turn (standard nomenclature for kink-turns [49]) in the context of the SAM-I riboswitch tolerates mutations because the kink-turn is stabilized by the adjacent pseudoknot (PK1) [46]. It is important to note that even through the 2b•2n position tolerates variation away from the canonical A•G in the SAM-I riboswitch, it is rarely observed (position 73 is an adenine in 99.7% of sequences and position 56 is an adenine in 95.4% of sequences).
Within the metE riboswitch there are a number of deviations from the preferred canonical kink-turn. On the 5′ side, the three-nucleotide bulge is capped by a G•U wobble instead of the canonical C-G base-pair (Fig. 4), as observed in both the consensus for B. subtilis SAM-I riboswitches [31] and consensus kink-turns [50]. A uridine at position 68 occurs in 3.35% of known sequences, with the more canonical C-G base pair observed more than 95%. This suggests the stronger C-G base pair is preferred to help stabilize the kink-turn structure. Unexpectedly, the U68C mutation is able to regulate transcription as well as the parental metEΔ16 RNA (Table 1), indicating that a wobble is well tolerated at this position.
In the canonical kink-turn, the strict consensus sequence for the bulge is RNN, with R representing a purine [50], although for SAM-I riboswitches there is a weaker consensus. Therefore, we hypothesized that the sequence of bulged nucleotides is not critical for proper function in the context of the SAM-I riboswitch. In our phylogenetic analysis the predominant sequence is GAU at 23.2%, which is observed in the T. tengcongensis metF-H2 SAM-I riboswitch aptamer domain crystal structure [22]. The UUU bulge observed in metE occurs with 7% frequency, making it also a fairly common variant for the bulge. Based on the bioinformatics data, we chose to make three variants of the bulge; the most abundant variant, GAU, a variant that is observed in ~6% of sequences, AAU, and a rarely observed variant (appears less than 1% of the time in phylogeny), GUA. All these variants have relatively the same T50 and dynamic range (Table 1), indicative that in the context of the metE riboswitch the bulge composition of the kink-turn has a minimal influence upon riboswitch function.
Finally, we investigated the 3b•3n position of metE, which is a C•C mismatch that deviates from the canonical A•G mismatch or the A•A mismatch observed in yitJ. Based on recent data, mismatches at this position are beneficial for metal-ion induced folding, which is expected to be important for SAM-I aptamer folding as well [47]. It must be noted that these experiments were performed with isolated duplex kink-turn containing RNAs and not in the context of SAM-I [47]. To test this observation in the context of SAM-I, we made mutations to metE at these positions (C55G, C74G, C74U, and C55G/C74A) and tested their ability to regulate transcription (Fig. 4, Table 1). All these mutations reduce the dynamic range with the most significant drop in dynamic range coming from C74U (Fig. 4A, Table 1), which was a decrease of 30% from metEΔ16, the same as the A73C variant. The change in T50,obs was only two-fold at most (Fig. 4A, Table 1), suggesting the binding ability is not affected by these mutations. Instead, the folding properties of the RNA were impacted such that a reduced fraction of the population could productively terminate transcription in response to SAM.
A minimal pseudoknot in the PK1 subdomain is required for activity
The defining feature of the PK1 subdomain in the SAM-I and SAM-IV riboswitches is a pseudoknot formed between the terminal loop of P2 (L2) and four bases in J3/4 (Fig. 1A). In the bound state, the pseudoknot is stabilized and encapsulates SAM, making it a crucial tertiary interaction in SAM-I riboswitches [28]. In the context of yitJ, mutations to this pseudoknot decrease binding affinity [31] and termination in both in vitro and in vivo experiments [51]. We hypothesized variation in this pseudoknot can be used to modulate the regulatory response.
Similar to the kink-turn, we created a negative control mutant to observe the maximum effect disrupting the pseudoknot will have on riboswitch function. As our negative control, we chose the G64C/G65C double mutant because an analogous mutation in yitJ was shown to have a ten-fold decrease on binding affinity [31]. This mutation has an even more severe effect in metE, as it is unable to function in the context of the in vitro transcription assay (Table 1) and SAM binding was not detectable by ITC (Table 2), reinforcing the importance of the pseudoknot.
The length of the P2 helix is likely to be important for precise positioning of L2 adjacent to J3/4 in order to form the pseudoknot it is expected that the riboswitch does not tolerate significant length variation in the P2 helix. Bioinformatic analysis of sequence variations in P2 shows P2b is universally three base pairs in length while there is some variation in the length of the P2a helix (Fig. 5A). The preferred length is eight Watson-Crick base pairs without any bulged/unpaired nucleotides (70.1%), while a length of nine base pairs, as observed in metE, is rare (1.03%). Overall, the length only varies between six and nine base pairs with generally a one or two nucleotide bulge, most often following the first Watson-Crick base pair (Fig. 5A). This indicates that the length of P2a is important for correctly positioning L2 to form the pseudoknot with J3/4. To validate this observation experimentally, four length variants of P2a were constructed from six base pairs (P2Δ 3bp) to ten base pairs (P2+1bp) (Fig. 5B, Table 1). The six, seven, and ten base pair P2a variants do not display SAM-dependent activity (Fig. 5B, Table 1). In contrast, eight and nine base pairs (P2Δ 1bp and Δ16) have roughly the same T50,obs and dynamic range (Fig. 5B, Table 1). Measurements of SAM binding by ITC of these variants reveal a similar trend (Table 2). These data demonstrate that P2a is weakly tolerant of length variation, with only eight or nine base pairs supporting function.
Along with the length of P2, the ability of the pseudoknot to stably form is also predicated upon the composition of the interaction between P2 and J3/4. In yitJ, the pseudoknot comprises four consecutive Watson-Crick base pairs, while in the T. tengcongensis metF-H2 SAM-I riboswitch aptamer domain there is an internal uracil-uracil mismatch that does not impair its ability to productively bind SAM.[22, 52] A uracil-uracil mismatch is also observed in metE (Fig. 1A), but the mismatch is at the 5′-end, creating a three Watson-Crick base pair pseudoknot. Both the three and four base pair variations of the pseudoknot are well represented in SAM-I alignment data, with the four base pair pseudoknot being the predominant one (Fig. 5C).
To investigate the Watson-Crick base pairing requirements for this pseudoknot with respect to regulatory activity, a set of mutations were introduced into this region of the metE riboswitch. Mutation of U62 to adenine (U62A, Fig. 5D) to create a variant with four Watson-Crick base pairs does not affect activity (Fig. 5D, Table 1). Furthermore, placing a stronger G-C base pair (U62C/U168G, Fig. 5D) at this position as seen in yitJ also did not affect activity (Fig. 5D, Table 1). These data indicate that a U•U mismatch at this position of the pseudoknot is not destabilizing to the aptamer domain’s architecture; this is likely true for the U•U internal mismatch as observed in the T. tengcongensis SAM-I riboswitch aptamer domain. Three mutations (U63A, G64C, and G65C) were made that reduce the number of Watson-Crick base pairs from three to two. In the case of the G65C mutation, the riboswitch displays no transcriptional termination activity, but the other two mutations only decrease the dynamic range without affecting the T50,obs (Fig. 5D, Table 1). Furthermore, if only the G65-C165 base pair is present (U63A/G64C), the riboswitch is unable to function (Fig. 5D, Table 1). Therefore, the pseudoknot must be composed of at least two base pairs with one of them being the G65-C165 base-pair.
The other highly conserved tertiary interaction element in the PK1 subdomain that aids in stabilizing the pseudoknot are two adenosines in J3/4 that form minor groove triples with G-C pairs in P2b (A161•G59-C67 and A162•G60-C66) and a third triple between A61 of L2 and the U164-A184 pair. Based on our data for base pairing of the pseudoknot, we expect mutations disrupting the base triples would have modest effect on metE riboswitch function. The nucleotides involved in the base triples within J3/4 were each mutated to cytosine (A161C, A162C, U164C; Fig. 5E). In the case of U164C, the mutant is able to regulate transcription as well as the parental metEΔ 16 RNA with respect to both dynamic range or the T50,obs (Fig. 5E, Table 1). We saw similar results with A61C (Table 1), together, these data indicates the U164-A184•A61 triple is at most weakly stabilizing the pseudoknot. In contrast, both A161C and A162C decrease the T50,obs (seven-fold and two-fold, respectively; Figure 5E, Table 1), illustrating their importance in stabilizing the pseudoknot and thus the bound state. This agrees with our mutagenesis data from the base pairing of the pseudoknot where mutations affecting G65-C165 base pair are more detrimental than mutations affecting the U62•U168 mismatch. Interestingly, a double mutant (A161C/A162C, Fig. 5E) of these residues was able to restore wild-type parameters. One explanation for this is that two pyrimidines or two purines can both productively interact with the minor groove whereas in a one pyrimidine/one purine combination the purine pushes the pyrimidine residue away from the groove.
Coupling of IL3b and the PK1 subdomain
Above, we have shown that only a few point mutations within the peripheral elements of the metE aptamer have a significant effect on riboswitch function. Generally, there is one nucleotide or base pair within each element that is critical for regulatory activity: A153 in IL3b, A57•G72 in the kink turn, G65-C165 in the pseudoknot and A161 in the J3/4-P2b base-triples. Most other mutations tested had only minor impacts upon activity. One of the most unexpected results from this was that deletion of IL3b completely abolished SAM binding and regulation in the metE riboswitch, as a number of natural SAM-I aptamers lack this element. Furthermore, we have extensively studied a variant of the T. tengcongensis metF-H2 SAM-I riboswitch aptamer domain that has the IL3b removed and the riboswitch can still effectively bind SAM and switch from the “ON” state to the “OFF” state.[22, 52, 53]
To validate that in the context of the T. tengcongensis metF-H2 riboswitch, deletion of IL3b is tolerated; we tested SAM binding by wild type and an IL3b deletion mutant (metF-H2(Δ60)) by ITC. The metF-H2 wild type aptamer has a similar affinity for SAM as metE (KD = 0.07 ± 0.01 μM for metF-H2 compared to KD = 0.079 ± 0.008 μM for metE, Table 2). However, metF-H2 Δ60 has less than a 10-fold reduction in SAM binding affinity, whereas metEΔ 153 shows very weak binding (Table 2). This illustrates that deletion of the bulged adenine in IL3b abolishes activity only in a subset of SAM-I riboswitches.
This observation led us to hypothesize that the loss of IL3b can be compensated for by potentially more energetically favorable tertiary interactions in the PK1 subdomain. To validate this, we designed two double mutants of the nonfunctional metE(Δ153) variant. The first double mutant strengthened the pseudoknot by converting the U•U mismatch to an A-U base pair (U62A/Δ153). The other double mutant shortened the P2a helix by a base pair in order to better position the L2 and the J3/J4 junction for pseudoknot formation (P2Δ1/Δ153). Both mutations are distal to the original Δ153 mutation (Fig. 1), and thus any effect they have on the riboswitch should be due to overall folding cooperativity and not direct communication. These single mutations were chosen because each has no major effect on riboswitch function in the context of the wild type IL3b (Tables 1 and 2). In both cases, measurable binding was restored to the riboswitch (Table 2) along with regulatory activity (Fig. 6A, Table 1). Therefore, in the absence of IL3b, the stability of the PK1 subdomain becomes critical for binding and activity.
Discussion
Previous studies of the SAM-I riboswitch family have revealed that despite a nearly universally conserved set of nucleotides that directly interact with the ligand, they exhibit a marked diversity of affinities and regulatory activities [27, 29]. For the eleven SAM-I riboswitches found in B. subtilis, this was hypothesized to “tune” the regulatory properties of the riboswitch to the needs of the transcriptional unit [29] a feature that has been proposed in other riboswitches as well [54, 55]. Despite these clear observations, the structural or mechanistic basis for this property of SAM-I riboswitches has remained unclear. At the outset of this study, our hypothesis was that peripheral tertiary elements of the SAM-I riboswitch, particularly in the PK1 subdomain, are responsible for stabilizing and maintaining the binding affinity and functionality of the riboswitch. We explored this hypothesis by investigating tertiary structures outside the binding pocket of the metE riboswitch from B. subtilis and comparing it with the highly investigated B. subtilis yitJ and T. tengcongensis metF-H2 SAM-I riboswitches.
Using an activity-based approach, this study revealed novel aspects about the role of conserved structural elements in the SAM-I riboswitch that contribute to ligand binding and transcriptional regulation. First, the importance of an interaction between IL3a and IL3b in the SAM-I riboswitch was established. Comparison of the yitJ and metF-H2 SAM-I riboswitch aptamer domain crystal structures shows that the presence of IL3b does not affect the global fold of the SAM-I aptamer or the local structure of the binding pocket, including the adenine of IL3a that directly interacts with IL3b [22, 23]. Instead, NMIA chemical probing of metF-H2 in the presence and absence of IL3b indicate that this interaction substantially reduces the dynamics of adenine 85. In the absence of IL3b, the reactivity of this nucleotide is enhanced upon SAM binding, indicating high conformational flexibility and/or structural dynamics of the local backbone, whereas in the presence of IL3b its reactivity is reduced [23, 53]. Thus, the IL3a/IL3b interaction likely facilitates SAM binding by rigidifying part of the internal loop that forms the SAM binding site upon ligand binding. Mutation of A153 to any other nucleotide only has a minor effect on the binding affinity (Table 2) and functionality of the riboswitch (Table 1). However, deletion of the adenine abrogates binding (Table 2) and regulatory activity (Table 1) in the context of the metE SAM-I riboswitch.
IL3b has the potential to be a means of tuning the regulatory activity of SAM-I riboswitches. This is clearly illustrated by the finding that the identity of the nucleotide at position 153 impacts regulatory activity as the A153C point substitution causes T50,obs to increase by at least four-fold (Table 1). These data indicate that IL3b is an element spatially close to the binding pocket that can tune the switching properties of the SAM-I riboswitch. In addition, the loss of IL3b as observed in ~2% of a subset of known SAM-I riboswitches, negatively impacts regulatory activity. An example is the B. subtilis yoaD riboswitch that has reduced activity both in vitro and in vivo as compared with other SAM-I riboswitches (Fig. 7A) [29]. However, the requirement for IL3b in promoting SAM binding may not be the same in all members of the SAM-I family. SAM binding by the T. tengcongensis metF-H2 riboswitch is only moderately affected by deletion of the critical adenine of IL3b (Table 2). A number of studies on the recognition of SAM by the ΔIL3b variant of the T. tengcongensis metF-H2 SAM-I aptamer indicates its specificity for SAM is similar to that of SAM-I aptamers with the internal loop [23, 28, 53]. Thus, there are likely other features of the SAM-I aptamer influencing the requirement of IL3b.
The role of a conserved element proximal to the ligand binding pocket in SAM-I in modulating small molecule binding is similar to what has been observed in other riboswitches, notably the purine [54] and the FMN [55] riboswitches. In the purine riboswitch aptamer, an element within P2 adjacent to the three-way junction housing the purine nucleobase binding pocket modulates binding affinity as well as regulatory activity [54]. In the FMN riboswitch, tuning of the binding affinity is dependent on the base pair composition and sequence context of the aptamer helices, with G-C base-pairs favored over A-U or G-U base-pairs for high affinity binding [55]. This property may be a general feature of RNA-small molecule interactions. For example, sequences in a Watson-Crick paired helix adjacent to the Tat binding site in the HIV transactivation response element RNA affects Tat binding [56]. Our current findings continue to establish this as an emerging theme in RNA-small molecule interactions.
Expectedly, the conserved PK1 subdomain also has a significant effect on regulatory activity. Previous studies of a SAM-I riboswitch using binding and activity approaches revealed the importance of the kink-turn motif [31] and the P4 helix [30]. To further define the role of tertiary interactions in the PK1 subdomain on regulatory activity, we focused on its four constituent structural elements: the P2a helix, the kink-turn, the pseudoknot and the A-minor triples between J3/4 and P2b (Figure 1). Each of these elements displays sequence and structural variation within the SAM-I riboswitch family, as observed in phylogenetic sequence alignments. Surprisingly, these data revealed that only a single nucleotide or base pair within these elements are capable of completely abrogating SAM-dependent regulatory function: A153 in IL3b, A57•G72 within the kink-turn, and G65-C165 within the pseudoknot. Other than these few sites, the metE riboswitch is broadly tolerant of mutations even in highly phylogenetically conserved regions, such as A73, U68, A61 and U164.
In light of the above data, we propose that rather than destabilizing tertiary structural elements in PK1 to adjust ligand binding and regulatory activity, the SAM-I riboswitches use the length of the P2a helix for tuning. Our data indicate that the RNA is fairly restrictive in the lengths of this helix that are tolerated: eight or nine base pairs (as defined by the constraints of the four-way junction at the 5′-side and the three-nucleotide bulge of the kink turn on its 3′-side, as observed in crystal structures) in the context of metE. In the eleven B. subtilis SAM-I riboswitches, the variants with the strongest regulatory activity (in vitro T50 < 1 μM; [29]) all have a consensus IL3b loop and eight or nine base pairs in P2b (metI, metE, mtnK and yitJ; Figure 7A). Variants with intermediate T50s between 1 and 10 μM (ykrW, yxjG and yxjH) have IL3b but tend to have shorter P2a helices (seven base pairs). These helices also tend to have a single bulged adenosine following the first Watson-Crick pair that may partially support the shorter helical length. It should be noted that in the T. tengcongensis metF-H2 crystal structure, this nucleotide was bulged out of the helix such that the first and second Watson-Crick pairs stack [22]. Finally, the variants showing the lowest regulatory activity (T50 > 10 μM) yoaD and yusC (along with the cysH and yxhH variants that showed no activity) either lack IL3b or have short P2a helices. Notably, these variants also tend to lack the bulged adenosine between the first and second base pair of P2a. Thus, we propose that IL3b and the P2a helix are the primary tuning elements of the SAM-I riboswitches. The likely mechanism for P2a length variation is the positioning of L2 for base pairing with J3/4 to form the defining pseudoknot of the PK1 subdomain. Shorter P2a helices create either a thermodynamic or kinetic penalty for proper formation of the tertiary architecture in this region of the RNA, thereby requiring higher concentrations of SAM to effect transcriptional termination.
The observation that only the most deleterious mutations in each tertiary module significantly affect regulatory activity supports the hypothesis that the PK1 subdomain is stabilized through a highly cooperative network of tertiary interactions. This is consistent with the hypothesis that the A73C mutation in the kink-turn is not detrimental to SAM binding because the pseudoknot helps to stabilize the kink-turn in the context of the SAM-I riboswitch, but the same mutation in the context of the isolated kink-turn completely destabilizes the motif [46]. This also explains the minimal effect the G•U wobble on the 5′ side and the mutations at position 3b•3n of the kink-turn have on riboswitch function (Table 1). Additionally, this explains the observation that only two non-contiguous Watson-Crick base pairs in the pseudoknot are required for function, a situation that would be expected to be highly destabilizing.
Further, IL3b and the PK1 subdomain are coupled with respect to their ability to promote SAM binding and regulatory activity. As demonstrated by the T. tengcongensis metF-H2 riboswitch aptamer, the presence of IL3b is not essential for SAM binding. This is likely because the PK1 subdomain contains the optimal set of tertiary interactions that can support ligand binding. In contrast, metE regulatory function is greatly weakened when IL3b is deleted. Regulatory function of metE in the context of the ΔIL3b mutation can be by partially restored by optimizing the PK1 subdomain either through repositioning (P2Δ1/Δ153) or strengthening (U62A/Δ153) the pseudoknot. Thus, the PK1 subdomain and IL3b are coupled in support of binding of SAM to the core (Fig. 7B).
In addition to reducing the effect point mutations have on riboswitch function, the coupled network potentially organizes the aptamer for efficient ligand binding. It has already been demonstrated that the pseudoknot stabilizes the bound state while encapsulating the SAM ligand [28]. In this study, we showed that the bulged adenine in IL3b interacts with an adenine in IL3a in the major groove away from the binding pocket, which promotes SAM binding. Interestingly, A85 in the unbound T. tengcongensis (ΔIL3b)SAM-I riboswitch occupies the SAM binding pocket by forming a triple with A84 and U157 [53]. Thus, another purpose of A153 might be to promote the “open” state of the SAM binding pocket for direct interaction of the adenosine moiety of the ligand. It has already been hypothesized that the role of the auxiliary elements, specifically the P4 helix, in the SAM-I riboswitch is to optimize ligand affinity by organizing the aptamer [30]. Like our point mutations, removal of the P4 helix causes only a minor increase in the T50,obs, indicative of it having an indirect contribution to riboswitch binding and function. Organization of the binding pocket for efficient ligand binding by peripheral tertiary architectural elements is a common feature of riboswitch aptamer domains [57, 58].
The coupling of the tertiary interactions within PK1 subdomain and P3 is critical for co-transcriptional folding, as these structures are transcribed early, and thus have a greater impact on proper folding of the SAM-I riboswitch aptamer domain [17]. It has been shown computationally and experimentally that RNA structures fold in the order in which they are transcribed, and that competing structures can invade the previous structure if they further stabilize the RNA [16, 17]. Therefore, strengthening of tertiary elements that form early in transcription through a coupling network helps to promote the proper RNA fold while discouraging misfolding. This is reflected in our data where point mutations that weaken tertiary elements affect the folding as illustrated by the decrease in the dynamic range without impacting binding ability (Table 1). Coupled tertiary interactions that form early in the folding process have been observed in the group I self-splicing intron, which promote proper RNA folding by suppressing nonnative structures [11]. The network of peripheral tertiary elements might be more important within the cellular environment as RNA tertiary interactions are strengthened relative to secondary interactions within macromolecular crowders and cosolutes [12]. The highly coupled nature of tertiary structure in RNA also likely makes it poorly suited for modulation of activity such as regulatory tuning. Rather, secondary structure is more ideal as minor changes to the length of a helix or introduction of distortions to the helix that only require one or several point substitutions or an insertion/deletion can affect an entire set of tertiary interactions. Thus, we propose that secondary rather than tertiary structure has a more significant affect on variation in RNA activity between orthologs.
In conclusion, these findings continue to build a picture of RNA folding and function under co-transcriptional constraints. Specifically for riboswitches, peripheral tertiary elements are key for ligand dependent RNA switching during transcription. In general, a network of highly coupled tertiary interactions likely serves to promote native structure folding early in transcription while suppressing nonnative structures. This view of co-transcriptional folding is clearly reflected in single molecule observations of an adenine-responsive riboswitch [16]. The coupled nature of these tertiary interactions, however, makes secondary structure the more appropriate structural elements for activity tuning in RNA through the ability of small changes at this level of structure to globally affect a network of tertiary interactions. Further work still needs to be done to translate these ideas into RNA folding and activity in the cellular environment where the presence of proteins and various cosolutes will certainly impact these processes in ways that may not be reflected in approaches such as the minimal assay used in this study. Nonetheless, these results are part of the important first steps in addressing this aspect of RNA folding and function in the co-transcriptional context.
Materials and Methods
Construction of DNA vectors
DNA vectors were synthesized by either recursive PCR or site-directed mutagenesis [59] from DNA oligonucleotides (Integrated DNA Technologies). In both cases, Pfu DNA polymerase was used with standard reaction buffer conditions. For site-directed mutagenesis, DMSO was added to a final concentration of 1% to prevent primer dimers and denature any inherent structure in the template. For vectors encoding genes used for single-turnover transcription assays, the T7A1 bacterial RNA polymerase promoter (5′TTATCAAAAAGAGTA- TTGACTTAAAGTCTAACCTATAGGATACTTACAGCC) was placed immediately upstream of the transcription start site for each riboswitch construct. The sequences were cloned into pUC19 (New England Biolabs) via the EcoRI and HindIII restriction digest sites within the multiple cloning site. Sequences were verified prior to use in transcription assays; complete sequences of all constructs are given in supplementary information Table S1.
Single-turnover in vitro transcription assays
Single-turnover transcriptions were performed as previously described [39, 60]. In brief, transcription templates were PCR amplified from sequence-verified vectors with Pfu DNA polymerase. The DNA was purified using a Qiagen PCR clean-up kit. 50 to 100 ng of template DNA was incubated at 37 °C for 15 minutes in E. coli RNA polymerase (RNAP) transcription buffer (70 mM TrisCl, pH 8.0, 70 mM NaCl, 0.1 mM EDTA, 14 mM β-mercaptoethanol, and 35 μg/mL BSA), 2.5 mM MgCl2, 1 μCi of [α-32P]ATP, and 0.25 units of E. coli RNA polymerase σ70 holoenzyme (Epicentre Biotechnologies) to a final volume of 17.5 μL. Addition of 7.5 μL of NTP mix (rNTPs in equal molar ratios of 165 μM), 0.2 mg/mL heparin, and the desired concentration of SAM initiated the reaction. The reactions were quenched after 15 minutes at 37 °C by adding 25 μL 8 M urea. Read-through and terminated transcription products were separated using a denaturing 6% 29:1 acrylamide:bisacrylamide gel. The gel was dried and then exposed to a phosphor screen overnight. RNA band intensities were quantified using ImageJ (http://imagej.nih.gov/ij/). The data was collected in triplicate and the average values, with the standard deviation used for weighting, were used for fitting to a standard two-state model by nonlinear least square analysis in Igor (WaveMetrics).
Isothermal Titration Calorimetry (ITC)
The aptamer domain (nucleotides 31 to 201) of the metE riboswitch and the mutants thereof were PCR amplified from the pUC19 vector using the Pfu DNA polymerase (forward, 5′GAAATTAATACGACTCACTATAGGCATTTTCTCTTATCGAGAGTTG; reverse, 5′CAC-TGCCTCTCTCATCTCTCA). RNA was transcribed from the DNA template using T7 RNA polymerase and purified by denaturing polyacrylamide gel electrophoresis (PAGE) [61]. The purified RNA was dialyzed overnight at 4 °C in 50 mM TrisCl, pH 8.0, 135 mM KCl, 15 mM NaCl, and 10 mM MgCl2. After dialysis, the buffer was filtered through a 2.0 μm membrane and used for washing the ITC cell and dissolving SAM. The exact concentrations and c-values used in the experiment are shown in supplementary information Table S2. Prior to each ITC run, the RNA was heated to 95 °C for a minute and then snap-cooled in order to refold the RNA. Two hundred seventy microliters of RNA was loaded into the cell and forty microliters of SAM was loaded into the syringe. Thirty-one injections were done for each titration; the first injection was 0.2 microliters and the rest were 1.2 microliters. The first injection was omitted from data processing. All injection durations were twice the volume in seconds and had a filter time of 5 seconds. The experiments were done on the MicroCal iTC200 system at a temperature of 37 °C to match the transcription assays, a reference power of eleven, sixty second initial delay, 1000 rpm stirring speed and the high feedback mode. Data were analyzed using the Origin ITC software (MicroCal Software Inc.) with a single-site binding model. Examples of the thermograms are shown in supplementary information Figure S1. All the values reported represent averages from three independent experiments with error values reported as standard deviations.
SHAPE probing
Similar to ITC experiments, the aptamer domain (nucleotides 31 to 201) of wild type and the U157A mutant (SAM binding knock-out) were synthesized using T7 RNA polymerase and purified by denaturing PAGE. Forward primer for PCR was the same as ITC and reverse primer, containing the SHAPE cassette, was 5′-GAACCGGACCGAAGCCCGATTTGGATCC-GGCGAACCGGATCGCACTGCCTCTCTCATCTCTCA. Chemical probing was performed using N-methylisotoic anhydride (NMIA) as previously described with slight modifications [62]. For probing reactions, 10 μL reactions were prepared to final concentrations of 100 nM RNA, 100 mM Na-HEPES, pH 8.0, 100 mM NaCl, 1 mM MgCl2, 1 mM SAM, and 6.5 mM NMIA. Probing reactions were incubated at 37 °C for 41 minutes (five half-lives). Following probing, primer extension using reverse transcriptase was carried out as previously described [62]. Products were separated using 12% denaturing PAGE and visualized using a Typhoon 9400 PhosphoroImager (Molecular Dynamics). Reactivity profiles for each RNA were calculated using the SAFA software package [63].
Bioinformatic analysis
The whole alignment for the SAM-I riboswitch family was downloaded from Rfam 12.0 [44] which contained 4757 sequences. The alignment was reduced to 388 sequences by setting 95% redundancy cut-off in Jalview [64], to obtain a workable subset that was diverse in both discrete sequences and bacterial species. The sequences were analyzed in Jalview and Emacs (http://www.gnu.org/software/emacs/) with the Ralee add-on [65]. The alignment is provided in supplementary information Table S3.
Supplementary Material
Highlights.
Internal loop adjacent to the SAM recognition site is critical for binding
Strong coupling between individual tertiary interactions of the PK1 subdomain
Secondary structural element in P2 implicated in regulatory tuning
Coupled network of interactions key for high fidelity co-transcription folding
Acknowledgments
This work has been funded by a grant to R.T.B. from the National Institutes of Health (R01 GM083953) to R.T.B. and through an award by the NIH/CU Molecular Biophysics Training Program (T32 GM06103) to J.T.P.
Abbreviations
- IL
internal loop
- ITC
isothermal titration calorimetry
- KT
kink-turn
- PK
pseudoknot
- RNAP
RNA polymerase
- SAM
S-adenosylmethionine
- SAH
S-adenosylhomocysteine
- SHAPE
selective 2′-hydroxyl acylation analyzed by primer extension
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- 1.Michaux C, Verneuil N, Hartke A, Giard JC. Physiological roles of small RNA molecules. Microbiology. 2014;160:1007–19. doi: 10.1099/mic.0.076208-0. [DOI] [PubMed] [Google Scholar]
- 2.Babski J, Maier LK, Heyer R, Jaschinski K, Prasse D, Jager D, et al. Small regulatory RNAs in Archaea. RNA Biol. 2014;11:484–93. doi: 10.4161/rna.28452. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Batista PJ, Chang HY. Long noncoding RNAs: cellular address codes in development and disease. Cell. 2013;152:1298–307. doi: 10.1016/j.cell.2013.02.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Lander ES. Initial impact of the sequencing of the human genome. Nature. 2011;470:187–97. doi: 10.1038/nature09792. [DOI] [PubMed] [Google Scholar]
- 5.Feingold EA, Good PJ, Guyer MS, Kamholz S, Liefer L, Wetterstrand K, et al. The ENCODE (ENCyclopedia of DNA elements) Project. Science. 2004;306:636–40. doi: 10.1126/science.1105136. [DOI] [PubMed] [Google Scholar]
- 6.Birney E, Stamatoyannopoulos JA, Dutta A, Guigo R, Gingeras TR, Margulies EH, et al. Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project. Nature. 2007;447:799–816. doi: 10.1038/nature05874. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Lagana A, Shasha D, Croce CM. Synthetic RNAs for Gene Regulation: Design Principles and Computational Tools. Front Bioeng Biotechnol. 2014;2:65. doi: 10.3389/fbioe.2014.00065. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Greenleaf WJ, Frieda KL, Foster DAN, Woodside MT, Block SM. Direct observation of hierarchical folding in single riboswitch aptamers. Science. 2008;319:630–3. doi: 10.1126/science.1151298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Sclavi B, Sullivan M, Chance MR, Brenowitz M, Woodson SA. RNA folding at millisecond intervals by synchrotron hydroxyl radical footprinting. Science. 1998;279:1940–3. doi: 10.1126/science.279.5358.1940. [DOI] [PubMed] [Google Scholar]
- 10.Swisher JF, Su LHJ, Brenowitz M, Anderson VE, Pyle AM. Productive folding to the native state by a group II intron ribozyme. Journal of Molecular Biology. 2002;315:297–310. doi: 10.1006/jmbi.2001.5233. [DOI] [PubMed] [Google Scholar]
- 11.Behrouzi R, Roh JH, Kilburn D, Briber RM, Woodson SA. Cooperative Tertiary Interaction Network Guides RNA Folding. Cell. 2012;149:348–57. doi: 10.1016/j.cell.2012.01.057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Strulson CA, Boyer JA, Whitman EE, Bevilacqua PC. Molecular crowders and cosolutes promote folding cooperativity of RNA under physiological ionic conditions. Rna-a Publication of the Rna Society. 2014;20:331–47. doi: 10.1261/rna.042747.113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Dupuis NF, Holmstrom ED, Nesbitt DJ. Molecular-crowding effects on single-molecule RNA folding/unfolding thermodynamics and kinetics. Proceedings of the National Academy of Sciences of the United States of America. 2014;111:8464–9. doi: 10.1073/pnas.1316039111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Stephenson W, Keller S, Santiago R, Albrecht JE, Asare-Okai PN, Tenenbaum SA, et al. Combining temperature and force to study folding of an RNA hairpin. Physical Chemistry Chemical Physics. 2014;16:906–17. doi: 10.1039/c3cp52042k. [DOI] [PubMed] [Google Scholar]
- 15.Nechooshtan G, Elgrably-Weiss M, Altuvia S. Changes in transcriptional pausing modify the folding dynamics of the pH-responsive RNA element. Nucleic Acids Research. 2014;42:622–30. doi: 10.1093/nar/gkt868. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Frieda KL, Block SM. Direct Observation of Cotranscriptional Folding in an Adenine Riboswitch. Science. 2012;338:397–400. doi: 10.1126/science.1225722. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Lutz B, Faber M, Verma A, Klumpp S, Schug A. Differences between cotranscriptional and free riboswitch folding. Nucleic Acids Research. 2014;42:2687–96. doi: 10.1093/nar/gkt1213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Roth A, Breaker RR. The Structural and Functional Diversity of Metabolite-Binding Riboswitches. Annual Review of Biochemistry. 2009:305–34. doi: 10.1146/annurev.biochem.78.070507.135656. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Breaker RR. Riboswitches and the RNA World. Cold Spring Harbor Perspectives in Biology. 2012:4. doi: 10.1101/cshperspect.a003566. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Trausch JJ, Xu ZJ, Edwards AL, Reyes FE, Ross PE, Knight R, et al. Structural basis for diversity in the SAM clan of riboswitches. Proceedings of the National Academy of Sciences of the United States of America. 2014;111:6624–9. doi: 10.1073/pnas.1312918111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Lu CR, Smith AM, Ding F, Chowdhury A, Henkin TM, Ke AL. Variable Sequences outside the Sam-Binding Core Critically Influence the Conformational Dynamics of the SAM-III/SMK Box Riboswitch. Journal of Molecular Biology. 2011;409:786–99. doi: 10.1016/j.jmb.2011.04.039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Montange RK, Batey RT. Structure of the S-adenosylmethionine riboswitch regulatory mRNA element. Nature. 2006;441:1172–5. doi: 10.1038/nature04819. [DOI] [PubMed] [Google Scholar]
- 23.Lu CR, Ding F, Chowdhury A, Pradhan V, Tomsic J, Holmes WM, et al. SAM Recognition and Conformational Switching Mechanism in the Bacillus subtilis yitJ S Box/SAM-I Riboswitch. Journal of Molecular Biology. 2010;404:803–18. doi: 10.1016/j.jmb.2010.09.059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.McDaniel BAM, Grundy FJ, Artsimovitch I, Henkin TM. Transcription termination control of the S box system: Direct measurement of S-adenosylmethionine by the leader RNA. Proceedings of the National Academy of Sciences of the United States of America. 2003;100:3083–8. doi: 10.1073/pnas.0630422100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Weinberg Z, Regulski EE, Hammond MC, Barrick JE, Yao Z, Ruzzo WL, et al. The aptamer core of SAM-IV riboswitches mimics the ligand-binding site of SAM-I riboswitches. Rna-a Publication of the Rna Society. 2008;14:822–8. doi: 10.1261/rna.988608. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Weinberg Z, Wang JX, Bogue J, Yang JY, Corbino K, Moy RH, et al. Comparative genomics reveals 104 candidate structured RNAs from bacteria, archaea, and their metagenomes. Genome Biology. 2010:11. doi: 10.1186/gb-2010-11-3-r31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Winkler WC, Nahvi A, Sudarsan N, Barrick JE, Breaker RR. An mRNA structure that controls gene expression by binding S-adenosylmethionine. Nature Structural Biology. 2003;10:701–7. doi: 10.1038/nsb967. [DOI] [PubMed] [Google Scholar]
- 28.Hennelly SP, Sanbonmatsu KY. Tertiary contacts control switching of the SAM-I riboswitch. Nucleic Acids Research. 2011;39:2416–31. doi: 10.1093/nar/gkq1096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Tomsic J, McDaniel BA, Grundy FJ, Henkin TA. Natural variability in S-adenosylmethionine (SAM)-dependent riboswitches: S-box elements in Bacillus subtilis exhibit differential sensitivity to SAM in vivo and in vitro. Journal of Bacteriology. 2008;190:823–33. doi: 10.1128/JB.01034-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Heppell B, Blouin S, Dussault AM, Mulhbacher J, Ennifar E, Penedo JC, et al. Molecular insights into the ligand-controlled organization of the SAM-I riboswitch. Nature Chemical Biology. 2011;7:384–92. doi: 10.1038/nchembio.563. [DOI] [PubMed] [Google Scholar]
- 31.Heppell B, Lafontaine DA. Folding of the SAM aptamer is determined by the formation of a K-turn-dependent pseudoknot. Biochemistry. 2008;47:1490–9. doi: 10.1021/bi701164y. [DOI] [PubMed] [Google Scholar]
- 32.Ceres P, Trausch JJ, Batey RT. Engineering modular 'ON' RNA switches using biological components. Nucleic Acids Research. 2013;41:10449–61. doi: 10.1093/nar/gkt787. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ceres P, Garst AD, Marcano-Velazquez JG, Batey RT. Modularity of Select Riboswitch Expression Platforms Enables Facile Engineering of Novel Genetic Regulatory Devices. Acs Synthetic Biology. 2013;2:463–72. doi: 10.1021/sb4000096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Artsimovitch I, Henkin TM. In vitro approaches to analysis of transcription termination. Methods. 2009;47:37–43. doi: 10.1016/j.ymeth.2008.10.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Blouin S, Lafontaine DA. A loop-loop interaction and a K-turn motif located in the lysine aptamer domain are important for the riboswitch gene regulation control. Rna-a Publication of the Rna Society. 2007;13:1256–67. doi: 10.1261/rna.560307. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Garst AD, Porter EB, Batey RT. Insights into the Regulatory Landscape of the Lysine Riboswitch. Journal of Molecular Biology. 2012;423:17–33. doi: 10.1016/j.jmb.2012.06.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Lemay JF, Desnoyers G, Blouin S, Heppell B, Bastet L, St-Pierre P, et al. Comparative Study between Transcriptionally- and Translationally-Acting Adenine Riboswitches Reveals Key Differences in Riboswitch Regulatory Mechanisms. Plos Genetics. 2011:7. doi: 10.1371/journal.pgen.1001278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Marcano-Velazquez JG, Batey RT. Structure-guided Mutational Analysis of Gene Regulation by the Bacillus subtilis pbuE Adenine-responsive Riboswitch in a Cellular Context. The Journal of Biological Chemistry. 2015;290:4464–75. doi: 10.1074/jbc.M114.613497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Dann CE, Wakeman CA, Sieling CL, Baker SC, Irnov I, Winkler WC. Structure and mechanism of a metal-sensing regulatory RNA. Cell. 2007;130:878–92. doi: 10.1016/j.cell.2007.06.051. [DOI] [PubMed] [Google Scholar]
- 40.Artsimovitch I, Svetlov V, Anthony L, Burgess RR, Landick R. RNA polymerases from Bacillus subtilis and Escherichia coli differ in recognition of regulatory signals in vitro. Journal of Bacteriology. 2000;182:6027–35. doi: 10.1128/jb.182.21.6027-6035.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Wickiser JK, Winkler WC, Breaker RR, Crothers DM. The speed of RNA transcription and metabolite binding kinetics operate an FMN riboswitch. Molecular Cell. 2005;18:49–60. doi: 10.1016/j.molcel.2005.02.032. [DOI] [PubMed] [Google Scholar]
- 42.Grundy FJ, Henkin TM. The S box regulon: a new global transcription termination control system for methionine and cysteine biosynthesis genes in Gram-positive bacteria. Molecular Microbiology. 1998;30:737–49. doi: 10.1046/j.1365-2958.1998.01105.x. [DOI] [PubMed] [Google Scholar]
- 43.Merino EJ, Wilkinson KA, Coughlan JL, Weeks KM. RNA structure analysis at single nucleotide resolution by selective 2 '-hydroxyl acylation and primer extension (SHAPE) Journal of the American Chemical Society. 2005;127:4223–31. doi: 10.1021/ja043822v. [DOI] [PubMed] [Google Scholar]
- 44.Gardner PP, Daub J, Tate JG, Nawrocki EP, Kolbe DL, Lindgreen S, et al. Rfam: updates to the RNA families database. Nucleic Acids Research. 2009;37:D136–D40. doi: 10.1093/nar/gkn766. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Daldrop P, Masquida B, Lilley DMJ. The functional exchangeability of pk- and k-turns in RNA structure. Rna Biology. 2013;10:445–52. doi: 10.4161/rna.23673. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Schroeder KT, Daldrop P, Lilley DMJ. RNA Tertiary Interactions in a Riboswitch Stabilize the Structure of a Kink Turn. Structure. 2011;19:1233–40. doi: 10.1016/j.str.2011.07.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.McPhee SA, Huang L, Lilley DMJ. A critical base pair in k-turns that confers folding characteristics and correlates with biological function. Nature Communications. 2014:5. doi: 10.1038/ncomms6127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Nissen P, Ippolito JA, Ban N, Moore PB, Steitz TA. RNA tertiary interactions in the large ribosomal subunit: The A-minor motif. Proceedings of the National Academy of Sciences of the United States of America. 2001;98:4899–903. doi: 10.1073/pnas.081082398. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Liu J, Lilley DMJ. The role of specific 2 '-hydroxyl groups in the stabilization of the folded conformation of kink-turn RNA. Rna-a Publication of the Rna Society. 2007;13:200–10. doi: 10.1261/rna.285707. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Klein DJ, Schmeing TM, Moore PB, Steitz TA. The kink-turn: a new RNA secondary structure motif. Embo Journal. 2001;20:4214–21. doi: 10.1093/emboj/20.15.4214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.McDaniel BA, Grundy FJ, Kurlekar VP, Tomsic J, Henkin TM. Identification of a mutation in the Bacillus subtilis S-adenosyhnethionine synthetase gene that results in derepression of S-Box gene expression. Journal of Bacteriology. 2006;188:3674–81. doi: 10.1128/JB.188.10.3674-3681.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Montange RK, Mondragon E, van Tyne D, Garst AD, Ceres P, Batey RT. Discrimination between Closely Related Cellular Metabolites by the SAM-I Riboswitch. Journal of Molecular Biology. 2010;396:761–72. doi: 10.1016/j.jmb.2009.12.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Stoddard CD, Montange RK, Hennelly SP, Rambo RP, Sanbonmatsu KY, Batey RT. Free state conformational sampling of the SAM-I riboswitch aptamer domain. Structure. 2010;18:787–97. doi: 10.1016/j.str.2010.04.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Stoddard CD, Widmann J, Trausch JJ, Marcano-Velazquez JG, Knight R, Batey RT. Nucleotides Adjacent to the Ligand-Binding Pocket are Linked to Activity Tuning in the Purine Riboswitch. Journal of Molecular Biology. 2013;425:1596–611. doi: 10.1016/j.jmb.2013.02.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Rode AB, Endoh T, Sugimoto N. Tuning Riboswitch-Mediated Gene Regulation by Rational Control of Aptamer Ligand Binding Properties. Angewandte Chemie-International Edition. 2015;54:905–9. doi: 10.1002/anie.201407385. [DOI] [PubMed] [Google Scholar]
- 56.Stelzer AC, Kratz JD, Zhang Q, Al-Hashimi HM. RNA Dynamics by Design: Biasing Ensembles Towards the Ligand-Bound State. Angewandte Chemie-International Edition. 2010;49:5731–3. doi: 10.1002/anie.201000814. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Batey RT. Structure and mechanism of purine-binding riboswitches. Quarterly Reviews of Biophysics. 2012;45:345–81. doi: 10.1017/S0033583512000078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Montange RK, Batey RT. Riboswitches: Emerging themes in RNA structure and function. Annual Review of Biophysics. 2008:117–33. doi: 10.1146/annurev.biophys.37.032807.130000. [DOI] [PubMed] [Google Scholar]
- 59.Sambrook J, Russel DW. Molecular Cloning: A laboratory manual. 3. Cold Spring Harbor, NY: Cold Spring Harbor Laboratory Press; 2001. [Google Scholar]
- 60.Trausch JJ, Ceres P, Reyes FE, Batey RT. The structure of a tetrahydrofolate-sensing riboswitch reveals two ligand binding sites in a single aptamer. Structure. 2011;19:1413–23. doi: 10.1016/j.str.2011.06.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Edwards AL, Batey RT. A Structural Basis for the Recognition of 2 '-Deoxyguanosine by the Purine Riboswitch. Journal of Molecular Biology. 2009;385:938–48. doi: 10.1016/j.jmb.2008.10.074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Wilkinson KA, Merino EJ, Weeks KM. Selective 2 '-hydroxyl acylation analyzed by primer extension (SHAPE): quantitative RNA structure analysis at single nucleotide resolution. Nature Protocols. 2006;1:1610–6. doi: 10.1038/nprot.2006.249. [DOI] [PubMed] [Google Scholar]
- 63.Das R, Laederach A, Pearlman SM, Herschlag D, Altman RB. SAFA: Semiautomated footprinting analysis software for high-throughput quantification of nucleic acid footprinting experiments. Rna-a Publication of the Rna Society. 2005;11:344–54. doi: 10.1261/rna.7214405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Waterhouse AM, Procter JB, Martin DMA, Clamp M, Barton GJ. Jalview Version 2-a multiple sequence alignment editor and analysis workbench. Bioinformatics. 2009;25:1189–91. doi: 10.1093/bioinformatics/btp033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Griffiths-Jones S. RALEE-RNA ALignment Editor in Emacs. Bioinformatics. 2005;21:257–9. doi: 10.1093/bioinformatics/bth489. [DOI] [PubMed] [Google Scholar]
- 66.Schroeder KT, McPhee SA, Ouellet J, Lilley DMJ. A structural database for k-turn motifs in RNA. Rna-a Publication of the Rna Society. 2010;16:1463–8. doi: 10.1261/rna.2207910. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.