Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2022 Apr 22.
Published in final edited form as: Science. 2021 Nov 18;374(6570):955–960. doi: 10.1126/science.abe8526

A viral RNA hijacks host machinery using dynamic conformational changes of a tRNA-like structure

Steve L Bonilla 1, Madeline E Sherlock 1, Andrea MacFadden 1, Jeffrey S Kieft 1,2,*
PMCID: PMC9033304  NIHMSID: NIHMS1796343  PMID: 34793227

Abstract

Viruses require multifunctional structured RNAs to hijack their host’s biochemistry, but their mechanisms can be obscured by the difficulty of solving conformationally dynamic RNA structures. Using cryo-EM, we visualized the structure of the mysterious viral tRNA-like structure (TLS) from brome mosaic virus (BMV), which affects replication, translation, and genome encapsidation. Structures in isolation and bound to tyrosyl-tRNA synthetase (TyrRS) show that this ~55 kDa purported tRNA mimic undergoes large conformational rearrangements to bind TyrRS in a form that differs dramatically from tRNA. Our study reveals how viral RNAs can use a combination of static and dynamic RNA structures to bind host machinery through highly noncanonical interactions and highlights the utility of cryo-EM for visualizing small conformationally dynamic structured RNAs.

One Sentence Summary:

Cryo-EM analysis of a viral tRNA mimic in the free and synthetase- bound forms reveals conformational changes that enable an unexpected RNA structure and mode of protein binding.


RNA’s functional versatility derives from its ability to encode genetic information and form complex three-dimensional structures (1). RNA viruses exploit these features, using structured RNA elements to manipulate host machinery and regulate essential viral processes (2, 3). Such RNA elements exist in viral clades as diverse as flaviviruses, lentiviruses, coronaviruses, alphaviruses, and picornaviruses (27), where often a single RNA element performs multiple functions. Our understanding of such RNAs is rudimentary, partly because many are conformationally dynamic and therefore difficult to characterize structurally. Crystallization of such elements is difficult due to their dynamic structure, and nuclear magnetic resonance (NMR) is often not tractable for fully functional RNAs or RNA-protein complexes due to molecular weight limitations (8, 9). Thus, structure-function rules of viral RNAs and their interactions with host machinery are not well understood.

A powerful way that viruses use RNA structure is to mimic cellular transfer RNAs (tRNAs). Several viral internal ribosome entry sites (IRESs), including that of hepatitis C virus, mimic parts of tRNA to contact tRNA binding sites on the ribosome (2). In addition, the the HIV1 RNA genome contains a tRNA-like element that binds lysyl-tRNA synthetase and favors the release of bound tRNALys3, the primer for HIV reverse transcription (5). These and other examples show the importance of tRNA mimicry in diverse viruses, including some that cause human disease.

Important examples of tRNA mimicry and multifunctionality are the ‘tRNA-like structures’ (TLSs) at the 3’ ends of certain positive-strand RNA viral genomes (10, 11). TLSs drive aminoacylation of viral genomic 3’ ends by host aminoacyl-tRNA synthetases (aaRSs) and can interact with other tRNA-specific enzymes including CCA-nucleotidyltransferase (CCA-NTase) and eukaryotic translation elongation factor 1A (eEF1A) (10, 12). Known TLSs are classified into three types based on their aaRS specificity: valylatable (TLSVal), histidylatable (TLSHis), and tyrosylatable (TLSTyr) (10, 12). Each type has a characteristic secondary structure that differs dramatically from tRNA, showing that tRNA mimicry can be achieved in diverse ways (Fig. S1) (12). Of the three types, TLSTyr differs most from tRNA in size and secondary structure and is the most difficult to reconcile with tRNA mimicry (13). The prototype TLSTyr is found at the 3’ end of each of the three genomic RNAs of the tripartite brome mosaic virus (BMV) genome (Fig. 1A). The BMV TLSTyr (hereafter referred to in text as BMV TLS) plays roles in translation, replication, and encapsidation of BMV RNAs; some of these functions are linked to aminoacylation of the TLS, while other functions appear to be independent of aminoacylation status (10, 13). The BMV TLS is thus a powerful model system to explore important viral RNA features: multifunctionality, tRNA mimicry, host protein binding, and potentially conformational dynamics.

Fig. 1.

Fig. 1.

Functional and initial structural characterization of BMV TLS RNA. (A) Organization of the tripartite BMV genome with a TLS at the 3’ end of each RNA. Me/He: methyltransferase/helicase; RdRp: RNA-dependent RNA polymerase; MP: movement protein; CP: coat protein. The conserved BMV TLS secondary structure next to that of a tRNA. Structural domains and the terminal CCA are shown, with the red A designating aminoacylation site. (B) Left: Cartoon of reaction catalyzed by TyrRS. Right: Tyrosylation of the BMV TLS RNA used for cryo-EM, using an adapted published protocol (36). BMV TLS (2’–3’ cP) contains a terminal 2’– 3’ cyclic phosphate, not an efficient substrate of TyrRS. TYMV TLSVal is a valylatable TLS from Turnip Yellow Mosaic Virus (TYMV). (C) Left: Representative micrograph of the BMV TLS RNA, 30% of the field of view. Defocus range was –1 to –2.5 μm. Right: Classified projections from BMV TLS particles (Fig. S2). (D) Secondary structures and cryo-EM maps of BMV TLS, B3ext+Cshort, and Dext+B2short. The maps of B3ext+Cshort (mesh red) and Dext+B2short (mesh green) are superimposed on BMV TLS (solid grey). Arrows point to differences corresponding to altered stems. (E) Refined map of BMV TLS at 4.3 Å resolution. Colors denote local resolution. Flexible domain with lower local resolution is boxed. (F) Maps representing heterogeneity in the particles using 3D variability analysis (18). The variability is mostly localized to the domain boxed in red.

Early studies identified the 3’-most 134 nucleotides (nts) of the genomic BMV RNAs as the minimal tyrosylatable TLS RNA (13, 14) but later studies demonstrated the importance of adjacent upstream sequence (13). The consensus TLS contains 169 nts that form a secondary structure with seven helical stems (compared to four for tRNA), including a pseudoknotted aminoacyl acceptor stem analog (Fig. 1A; Fig. S1) (12, 15). Thus, BMV TLS is substantially larger and more structurally complex than tRNA, an example of a structure that accomplishes tRNA mimicry in a manner that is not readily apparent. It is not known whether BMV TLS contains a tRNA-like L-shape structure, and conflicting evidence points to either stem B2 or B3 as the anticodon stem analog (Fig. 1A) (16). Notwithstanding the lessons that a 3D structure of a TLSTyrof the BMV TLS could provide about viral RNA structure-function relationships, the structure has remained elusive for decades.

RESULTS

Cryo-EM reveals the global architecture of unbound BMV TLS

We in vitro transcribed and purified a TLS sequence from BMV RNA 3 (12, 15) and confirmed its ability to be tyrosylated in vitro using recombinantly expressed TyrRS from model host Phaseolus vulgaris (Fig. 1B). Cryo-EM micrographs of this sample using a 200 kV microscope contained readily identifiable particles despite their small size (55 kDa) (Fig. 1C; Fig. S2). Using a data analysis pipeline that includes “junk” particle removal via 2D classification, ab initio 3D reconstruction, 3D classification, and model refinement (17), we obtained an initial 7.0 Å map that displayed characteristics consistent with a folded RNA of the expected size (Fig. 1D; Fig. S2). The overall architecture of the map was robustly reproduced across ab initio reconstructions with different numbers of classes (Fig. S2).

A larger dataset from a 300 kV microscope equipped with an energy filter increased the overall resolution to 4.3 Å. In this map, both minor and major grooves of A-form helices were clearly defined, and the connectivity of the phosphate backbone could be deduced (Fig. 1E; Fig. S3). In some regions, stacking and coplanarity of base pairs (bp) were resolved, and phosphate “bumps” were visible (Fig. S4). The central core of the map displayed the highest local resolution, but even peripheral region density was well-defined and displayed clear helical features (Fig. 1E).

Importantly, one helical domain stood out as it was less defined and had lower local resolution relative to other map regions (Fig. 1E, boxed), suggesting local flexibility within the structure. To examine this, we used 3D Variability Analysis (18) to generate a series of 3D volumes representing variability among particles within the dataset (Fig. 1F). This analysis was consistent with this one helical domain occupying multiple conformational states, while the rest of the RNA is relatively more static.

Engineered RNAs provide information for unambiguous structural modelling

Aside from low resolution small angle X-ray scattering (SAXS) data and a computational model based on chemical probing and functional data (12, 19), there was no prior information on the 3D structure of BMV TLS. To assign RNA helices to regions of the cryo-EM map, we used a strategy based on RNA structural modularity. We designed BMV TLS RNAs with specific helical stems extended or truncated by several base pairs, with the rationale that local differences between the wild type and modified RNAs would identify the extended/truncated helices within the maps. Analogous experiments have been used to validate structural models or to measure the angles between RNA helices (20, 21).

A map of an RNA with stem B3 extended and stem C shortened displayed local differences compared to wild type that conclusively identified B3 and C (Fig. 1D; B3ext+Cshort). We repeated this analysis with an RNA with stem D extended and stem B2 shortened (Fig. 1D; Dext+B2short). An unexpected new tertiary interaction apparently formed between the modified helices, but this did not affect the global architecture of the RNA, and local differences between the maps identified stems B2 and D. This strategy, in combination with the previously determined secondary structure (19) (Fig. 2A), allowed us to unambiguously identify the positions of all helices with no prior assumptions. This method of obtaining RNA helical assignments in cryo-EM maps is generally applicable and can also validate structural models from automated computational tools (22), as discussed below and done previously (20).

Fig. 2.

Fig. 2.

Structure of free BMV TLS RNA. (A) Secondary structure of the BMV TLS RNA construct used for cryo-EM is labeled and colored by domain, with the locations of the replicase promoter and the acceptor stem labeled. The AUA apical triloop (solid box) and UAGA internal loop (dashed box) are critical for replication. (B) Structural model of BMV TLS from two views, colors match panel (A). Sequences critical for replication are boxed as in panel (A). (C) The helices comprising three domains of BMV TLS formed by helical stacks are highlighted with their corresponding colors: B3+E (left, black and grey), C+B1+B2 (middle, red, orange and yellow), and D+4wj+A (right, purple, cyan and blue). The junctions connecting the different domains are shown between them. Colors match panels (A) and (B).

Cryo-EM yields a complete structural model of BMV TLS

To build a structural model consistent with the cryo-EM data and the secondary structure of BMV TLS, we first evaluated a decades-old computational 3D model (Fig. S5) (19). The computational model correctly predicted five helical stems emanating from a central core but did not fit well into the experimental map. We built a new structure by docking individual domains into their corresponding density, performing molecular dynamics flexible fitting and real space refinements, and correcting RNA geometry (Fig. 2B; Fig. S6). The entire structure could be built and refined within the map without substantial steric clashes or breaks in the chain (Table S1). Models of the extended/truncated constructs (Fig. 1D) support this structural model (Fig. S7).

As a complementary method of structural modelling, we used auto-DRRAFTER, a fully automated computational tool that generates multiple unbiased models from a user-provided secondary structure and low-to-moderate resolution cryo-EM maps (22). The models generated by auto-DRRAFTER agreed well with our original structure (RMSD < 3.2Å)(Fig. 1D; Fig. S6B).

Globally, the BMV TLS structure contains three sets of coaxially stacked extended helical domains (Fig. 2C). One domain comprises helices C, B1, and B2, which form a pseudo-continuous helix that spans the structure, with the apical loops of B2 and C pointing in opposite directions (Fig. 2C, center). The second comprises helices D and A connected through a central 4-way junction (4wj; Fig. 2C, right). Helix A contains the 3’ CCA and serves as both the acceptor stem for tyrosylation and the replication initiation site (10). The third corresponds to the conformationally dynamic domain mentioned above (Fig. 1F) and contains helices B3 and E (hereafter referred to as B3+E) linked to the core of the structure by a single strand of unpaired RNA (Fig. 2C, left). Thus, while atomic-level details are ambiguous at the overall map resolution, the cryo-EM structure of BMV TLS reveals functionally important features.

Identification of elements that drive aminoacylation

The ability of the BMV TLS to be aminoacylated has led to the hypothesis that the “rules” for BMV TLS tyrosylation by TyrRS largely match tRNATyr’s (19, 23). Specifically, because tRNATyr recognition by the TyrRS requires interactions with its acceptor stem and anticodon loop (with the acceptor stem being more important), analogs of these domains were expected in the BMV TLS structure (10, 19, 24, 25). Pseudoknotted helix A was known to be the acceptor stem analog, but the identity of the putative anticodon stem analog was mysterious (10, 26), with conflicting evidence for B3 or B2 (16, 19, 23, 26). Our 3D structure shows that while B2 is oriented away from the acceptor stem, the B3+E domain is positioned such that it is more likely to interact with TyrRS (Fig. 2B). Furthermore, a consensus sequence and secondary structural model based on conservation and covariation analysis of 512 unique viral BMV-like TLSTyr sequences reveals that certain nucleotide identities in B3’s apical loop and the length of the B3+E domain are highly conserved (Fig. 3A & B). In contrast, stem B2 varies in length with no compensatory changes in the length of B1 (Fig. 3B), and there is no strong conservation in the apical loop of B2 that would suggest it acts as the anticodon (Fig. 3A). The secondary structure model derived from the covariation analysis was validated with chemical probing of three representative TLSTyr variants (Fig. S8). These observations strongly point to B3 as the putative anticodon stem analog.

Fig. 3.

Fig. 3.

Structural features of BMV TLS important for replication or tRNA mimicry. (A) Consensus covariation and sequence model of TLSTyr variants related to BMV TLS. Helices are labeled according to BMV TLS. Preliminary alignment of eight TLSTyr sequences from the Rfam database (37, 38), followed by homology searches resulted in 512 unique sequences used in this consensus model, which is supported by chemical probing of three representative TLSTyr variants (Fig. S9). (B) Distribution of lengths of four helices according to the alignment. (C) Tyrosylation of mutant BMV TLS. BMV TLS (2’–3’ cP) contains a terminal 2’–3’ cyclic phosphate thus is not an efficient substrate of TyrRS. (D) Comparison of unbound tRNAPhe (left) and tRNA mimicking portions of the BMV TLS (right). The structurally important loops T and D and anticodon (AC) loop are labeled. Analogous structural features are colored as per Fig. 2 and various molecular dimensions are shown. (E) Top: Published crystal structure of yeast tRNATyr bound to yeast TyrRS (25). Bottom: The cryo-EM-derived BMV TLS structure overlaid on the bound tRNATyr (Fig. S11). The steric clash between B3 (anticodon stem analog) and TyrRS is boxed.

To further investigate the role of B3, we performed in vitro tyrosylation of BMV TLS variants with terminal loops of B2, B3, or E mutated to UUCG, a loop sequence with a well-determined structure and high thermodynamic stability (27). In contrast to previous large sequence deletions (16), the UUCG mutations were not expected to affect overall BMV TLS structure. Indeed, electrophoresis of folded BMV TLS mutants under native conditions showed unchanged migration relative to wild type (Fig. S9). While mutations to B3 decreased aminoacylation of the TLS (Fig. 3C), mutations to B2 or E did not have a substantial effect, suggesting B3 is analogous to the tRNA anticodon. Although the B3 apical loop contains a conserved ‘UACA’ sequence rather than a canonical tyrosine anticodon (i.e. GUA in plants), the major identity elements of tRNATyr lay within its acceptor arm, and the anticodon is less important (24); this appears also true with BMV TLS.

Free BMV TLS RNA does not contain a classic L-shape tRNA mimic

To productively interact with TyrRS, it was expected that BMV TLS’ acceptor and anticodon stem analogs (stems A and B3, respectively) would comprise a classic tRNA L-shaped fold (Fig. 3D, left). Surprisingly, stem A and domain B3+E of BMV TLS are loosely associated, with no interactions analogous to tRNA’s, and the overall dimensions do not match tRNA (Fig. 3D). The implications were apparent when we used the crystal structure of a yeast tRNATyr-TyrRS complex (25) to model BMV TLS bound to TyrRS (Fig. 3E). Superposition of the structure of BMV TLS on tRNATyr bound to the TyrRS homodimer, based on their acceptor stems (Fig. S10), revealed substantial steric clashes between TyrRS and the B3+E domain of BMV TLS (Fig. 3E; Fig. S10B). This suggests that BMV TLS requires conformational changes to bind TyrRS, and/or binds TyrRS with a geometry that differs from canonical tRNA, and/or binds to a different site. Indeed, the fact that B3+E is conformationally dynamic made it plausible that interaction with TyrRS requires its rearrangement.

BMV TLS undergoes large conformational changes to bind TyrRS

We applied cryo-EM to the BMV TLS-TyrRS complex (Fig. 4; Fig. S11 & S12). Initial studies with a 200 kV microscope (Fig. 4A) showed two copies of BMV TLS RNA (Fig. 4B, red arrows) bound to opposite sides of the TyrRS homodimer (Fig. 4B, cyan arrow), with each copy making two contacts on the enzyme. This resembles the overall configuration of the tRNATyrTyRS complex (Fig. 4C). However, there is significantly more space between the TLS and the surface of the enzyme compared to tRNATyr-TyrRS, suggesting different angles between the acceptor and anticodon stems. Consistent with our interpretation of the density, cryo-EM data of free TyrRS (Fig. S13) matched the density observed in the center of the BMV TLS-TyrRS complex (Fig. 4B, cyan box).

Fig. 4.

Fig. 4.

Cryo-EM of the BMV TLS-TyrRS complex. (A) Representative micrograph of the BMV TLS-TyrRS complex with a 200 kV electron microscope. (B) Representative 2D class of the complex showing two BMV TLS RNA molecules bound to TyrRS. For comparison, densities of unbound TyrRS (cyan box; Fig. S13) and unbound BMV TLS (red boxes; Fig. 1C) are shown. (C) Crystal structure of the yeast tRNA-TyrRS complex, with tRNA elements labeled (PDB ID: 2dlc). (D) A 5.5 Å cryo-EM map of the BMV TLS-TyrRS complex in ‘bound state 1’ (top) and an atomic model fitted to the density (bottom). (E) A 6.0 Å cryo-EM map of the BMV TLS-TyrRS complex in ‘bound state 2’ (top) and an atomic model fitted to the density (bottom). (F) Comparison of the structure of BMV TLS in isolation vs. bound to TyrRS. (G) Comparison of BMV TLS in unbound state and two bound states. Colors are as in Fig. 2.

We collected a larger dataset with a 300 kV microscope at different tilt angles to reduce the effect of preferred particle orientations (Fig. S11). Although two bound BMV TLS RNAs are observed in many 2D classes (Fig. 4B; Fig. S11), one RNA was consistently better defined in 3D reconstructions, suggesting conformationally dynamics and/or compositional/conformational heterogeneity. Consistent with the latter, and as discussed below, the data revealed at least two distinct bound conformational states, ‘bound state 1’ and ‘bound state 2’ (Fig. 4D-E; Fig. S11). Interestingly, a previous study reported that although the TyrRS homodimer has two tRNATyr binding sites and crystallizes with two copies of tRNATyr, only one tRNATyr is aminoacylated at a time (28). This apparent paradox may be reflected in the asymmetrical binding behavior of the two BMV TLS RNAs, but further studies are required.

Focusing on a single copy of BMV TLS RNA bound to TyrRS, we obtained interpretable cryo-EM 3D maps of the global conformation of the TLS bound to TyrRS (Fig. 4D & E, top panels; Fig. S12), with resolutions of 5.5 and 6.0 Å for bound states 1 and 2, respectively (Fig. S12). The maps allowed us to fit atomic models of BMV TLS RNA and TyrRS (Fig. 4D & E, bottom panels).

The structures of the complex show that BMV TLS RNA undergoes a large conformational change to bind TyrRS (Fig. 4F). Specifically, the unbound and bound RNAs were essentially superimposable except for domain B3+E (Fig. S14). In the unbound state, B3+E occupies a conformational ensemble, mostly positioned at roughly a right angle to the acceptor stem but not properly positioned to interact productively with the enzyme (Fig. 3E). However, in the bound state B3+E has rotated ~90° from its average unbound position to lay roughly parallel to the acceptor stem analog (stem A), avoiding any steric clash with the enzyme and placing the B3 apical loop on the surface of TyrRS (Fig. 4D-F). The bound BMV TLS geometry is very different from tRNATyr; while BMV TLS also makes two discrete contacts with TyrRS, it has little resemblance to the global L-shaped structure of tRNATyr. This bound conformation was not observed in the free RNA, suggesting it is unstable and rarely adopted without interactions with TyrRS. Thus, the BMV TLS undergoes a dramatic programmed conformational change to bind the synthetase, in contrast to preorganized tRNAs and TYMV TLSVal; the latter nearly perfectly mimics tRNA (29).

BMV TLS binds TyrRS in at least two distinct states

The BMV TLS-TyrRS complex adopts two distinct states that may relate to the process of aminoacylation. The overall conformations of the RNA and the enzyme are the same in both states (Fig. S14A & C), but their relative positions differ (Fig. 4D & E). In bound state 1 the acceptor stem makes limited contacts with TyrRS and the terminal CCA is well outside the aminoacylation active site (Fig. 4D). In bound state 2, the RNA and the enzyme are closer, the acceptor stem makes deeper contacts with TyrRS, and the terminal CCA is positioned in the active site. Because the position of the acceptor stem in bound state 2 more closely resembles that of tRNATyr bound to TyrRS, this state more likely reflects the bound conformation during aminoacylation. However, we cannot make conclusions about the order of events, for example, whether bound state 1 is an ‘on path’ intermediate or an alternate non-productive state. Additionally, as the conformation of the second bound RNA was not resolved, we do not know if all combinations of bound states 1 and 2 are present or if there are preferred combinations. While this behavior may be unique to BMV TLS, it is possible that similar multiple bound states exist in tRNATyr-TyrRS complexes but only a single state was observed by crystallography.

The replicase promoter is pre-positioned in proximity to the initiation site

A critical function of BMV TLS is recruiting replication machinery to the initiation site (13, 30, 31). Although replication initiates at the 3’ end in stem A, the promoter is within stem C’s apical AUA triloop (Fig. 2A & B, solid box) and a UAGA 4-nt bulge (Fig. 2A & B, dashed box) (3032). The structure reveals that helix C is prepositioned adjacent and nearly parallel to helix A (Fig. 2B, right). The resulting distance between the AUA triloop promoter and the replication initiation site is ~48 Å. As the replication complex consists of multiple viral and host proteins of 43 to 110 kDa (BMV encoded replication proteins P1 and P2 are 110 and 95 kDa, respectively) (33), it is likely large enough to span this distance. Further, the proximity of the UAGA 4-nt bulge (Fig. 2B, dashed box) to the 4wj likely creates tertiary interactions that stabilize the position of stem C relative to helix A (Fig. 2B, right). Overall, the structure suggests helix C and helix A is are pre-positioned to reduce the conformational search of the bound replicase for its substrate but replicase binding, as with TyrRS, could also be associated with additional RNA conformational changes.

DISCUSSION

The BMV TLS has served as a model system for understanding RNA structure-function relationships for decades, but its three-dimensional structure remained elusive. The structure of the BMV TLS in the unbound and TyrRS-bound states now reveals a strategy for co-opting the cell’s machinery using an RNA structure that contains a combination of conformationally dynamic and relatively static elements. Remarkably, the BMV TLS achieves aminoacylation by positioning the CCA at the 3’ end and an anticodon loop analog within an architecture that has little resemblance to tRNA, but which spatially arranges them to interact with the TyrRS; the decadesold term ‘tRNA-like structure’ may be a misnomer for this RNA. This surprising mode of binding invites speculation that other RNAs with secondary structures that deviate dramatically from tRNAs may bind aaRSs in non-canonical ways but be difficult to identify based on sequence or secondary structure alone.

The potential function and/or consequences of BMV TLS’ conformational changes and global fold are not clear. The conformational change could serve as a signal to initiate synthetase binding or to enable the binding of other proteins to the remodeled structure. In the unbound form, the apical loop of stem E is occluded, but it is exposed in the bound form and in proximity to stem B2; any functional implications of this are unknown. The structure is a combination of preformed and dynamic features. These features might facilitate and organize interactions with the distinct machineries required for replication, recombination, and encapsidation of the viral RNAs (30). Other multifunctional RNAs likely utilize similar characteristics to organize different roles.

RNAs exist as conformational ensembles, and dynamics are critical for RNA function (1, 8, 34). Recent studies have explored cryo-EM as a powerful tool for rapidly solving small RNA-only structures (22, 35), our studies highlight the potential of cryo-EM for dissecting dynamic processes involving functional structured RNAs and RNA-protein complexes. Unlike crystallographic studies, in which conformational dynamics must largely be inferred or suppressed, cryo-EM offers direct detection of inherent motions. Here, we highlighted a tool that can aid in this task: the use of extensions and/or truncations of modular helical domains in combination with robust secondary structures to rapidly assign specific secondary structural elements to the electron density, provide constraints for structural modelling, and/or validate automated modelling programs. Cryo-EM, in combination with emerging computational tools, will greatly facilitate the study of diverse dynamic regulatory RNAs and RNA-protein complexes..

Supplementary Material

Alignment Files
1

Acknowledgments:

Eduardo Romero Camacho and Peter Van Blerkom (Univ. of Colorado Anschutz Medical Campus Cryo-EM Facility), and Theo Humphreys (Pacific Northwest Center for Cryo-EM) assisted with microscope operation. Erik Hartwick helped with the aminoacylation assays. The authors thank current and former Kieft Lab members for thoughtful discussions and technical assistance, and Anna-Lena Steckelberg, Benjamin Akiyama, Quentin Vicens, and David Constantino for critical reading of the manuscript.

Funding: This work was supported by NIH grants R35GM118070 (JSK) and F32GM139385 (SLB). SLB is a Howard Hughes Medical Institute Hanna Gray Fellow. MES is a Jane Coffin Childs Postdoctoral Fellow. A portion of this research was supported by NIH grant U24GM129547 and performed at the PNCC at OHSU and accessed through EMSL (grid.436923.9), a DOE Office of Science User Facility sponsored by the Office of Biological and Environmental Research.

Footnotes

Competing interests: The authors declare no competing interests.

Data and materials availability: All data are available in the manuscript and supplementary materials. Cryo-EM maps are available in the EMDB with codes EMD-24952, EMD-25023, and EMD-25041. Structural models are available in the PDB with codes 7SAM, 7SC6, and 7SCQ.

References and Notes:

  • 1.Ganser LR, Kelly ML, Herschlag D, Al-Hashimi HM, The roles of structural dynamics in the cellular functions of RNAs. Nat Rev Mol Cell Biol 20, 474–489 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Jaafar ZA, Kieft JS, Viral RNA structure-based strategies to manipulate translation. Nat Rev Microbiol 17, 110–123 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Akiyama BM, Eiler D, Kieft JS, Structured RNAs that evade or confound exonucleases: function follows form. Curr Opin Struct Biol 36, 40–47 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Lu K. et al. , NMR detection of structures in the HIV-1 5’-leader RNA that regulate genome packaging. Science 334, 242–245 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Jones CP, Cantara WA, Olson ED, Musier-Forsyth K, Small-angle X-ray scattering-derived structure of the HIV-1 5’ UTR reveals 3D tRNA mimicry. Proc Natl Acad Sci U S A 111, 3395–3400 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Yang D, Leibowitz JL, The structure and functions of coronavirus genomic 3’ and 5’ ends. Virus Res 206, 120–133 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Fernandez-Miragall O, Lopez de Quinto S, Martinez-Salas E, Relevance of RNA structure for the activity of picornavirus IRES elements. Virus Res 139, 172–182 (2009). [DOI] [PubMed] [Google Scholar]
  • 8.Shi X, Bonilla S, Herschlag D, Harbury P, Quantifying Nucleic Acid Ensembles with X-ray Scattering Interferometry. Methods Enzymol 558, 75–97 (2015). [DOI] [PubMed] [Google Scholar]
  • 9.Murata K, Wolf M, Cryo-electron microscopy for structural analysis of dynamic biological macromolecules. Biochim Biophys Acta Gen Subj 1862, 324–334 (2018). [DOI] [PubMed] [Google Scholar]
  • 10.Dreher TW, Viral tRNAs and tRNA-like structures. Wiley Interdiscip Rev RNA 1, 402–414 (2010). [DOI] [PubMed] [Google Scholar]
  • 11.Giege R, Interplay of tRNA-like structures from plant viral RNAs with partners of the translation and replication machineries. Proc Natl Acad Sci U S A 93, 12078–12081 (1996). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Hammond JA, Rambo RP, Filbin ME, Kieft JS, Comparison and functional implications of the 3D architectures of viral tRNA-like structures. RNA 15, 294–307 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Dreher TW, Role of tRNA-like structures in controlling plant virus replication. Virus Res 139, 217–229 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Joshi RL, Joshi S, Chapeville F, Haenni AL, tRNA-like structures of plant viral RNAs: conformational requirements for adenylation and aminoacylation. EMBO J 2, 1123–1127 (1983). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Vieweger M, Holmstrom ED, Nesbitt DJ, Single-Molecule FRET Reveals Three Conformations for the TLS Domain of Brome Mosaic Virus Genome. Biophys J 109, 26252636 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Fechter P, Giege R, Rudinger-Thirion J, Specific tyrosylation of the bulky tRNA-like structure of brome mosaic virus RNA relies solely on identity nucleotides present in its amino acid-accepting domain. J Mol Biol 309, 387–399 (2001). [DOI] [PubMed] [Google Scholar]
  • 17.Punjani A, Rubinstein JL, Fleet DJ, Brubaker MA, cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat Methods 14, 290–296 (2017). [DOI] [PubMed] [Google Scholar]
  • 18.Punjani A, Fleet DJ, 3D variability analysis: Resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM. J Struct Biol 213, 107702 (2021). [DOI] [PubMed] [Google Scholar]
  • 19.Felden B, Florentz C, Giege R, Westhof E, Solution structure of the 3’-end of brome mosaic virus genomic RNAs. Conformational mimicry with canonical tRNAs. J Mol Biol 235, 508–531 (1994). [DOI] [PubMed] [Google Scholar]
  • 20.Baird NJ et al. , Discrete structure of an RNA folding intermediate revealed by cryoelectron microscopy. J Am Chem Soc 132, 16352–16353 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Nakamura TM, Wang YH, Zaug AJ, Griffith JD, Cech TR, Relative orientation of RNA helices in a group 1 ribozyme determined by helix extension electron microscopy. EMBO J 14, 4849–4859 (1995). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Kappel K. et al. , Accelerated cryo-EM-guided determination of three-dimensional RNAonly structures. Nat Methods 17, 699–707 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Perret V, Florentz C, Dreher T, Giege R, Structural analogies between the 3’ tRNA-like structure of brome mosaic virus RNA and yeast tRNATyr revealed by protection studies with yeast tyrosyl-tRNA synthetase. Eur J Biochem 185, 331–339 (1989). [DOI] [PubMed] [Google Scholar]
  • 24.Fechter P, Rudinger-Thirion J, Theobald-Dietrich A, Giege R, Identity of tRNA for yeast tyrosyl-tRNA synthetase: tyrosylation is more sensitive to identity nucleotides than to structural features. Biochemistry 39, 1725–1733 (2000). [DOI] [PubMed] [Google Scholar]
  • 25.Tsunoda M. et al. , Structural basis for recognition of cognate tRNA by tyrosyl-tRNA synthetase from three kingdoms. Nucleic Acids Res 35, 4289–4300 (2007). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Dreher TW, Hall TC, Mutational analysis of the tRNA mimicry of brome mosaic virus RNA. Sequence and structural requirements for aminoacylation and 3’-adenylation. J Mol Biol 201, 41–55 (1988). [DOI] [PubMed] [Google Scholar]
  • 27.Molinaro M, Tinoco I Jr., Use of ultra stable UNCG tetraloop hairpins to fold RNA structures: thermodynamic and spectroscopic applications. Nucleic Acids Res 23, 30563063 (1995). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Ward WH, Fersht AR, Asymmetry of tyrosyl-tRNA synthetase in solution. Biochemistry 27, 1041–1049 (1988). [DOI] [PubMed] [Google Scholar]
  • 29.Colussi TM et al. , The structural basis of transfer RNA mimicry and conformational plasticity by a viral RNA. Nature 511, 366–369 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Rao AL, Cheng Kao C, The brome mosaic virus 3’ untranslated sequence regulates RNA replication, recombination, and virion assembly. Virus Res 206, 46–52 (2015). [DOI] [PubMed] [Google Scholar]
  • 31.Chapman MR, Kao CC, A minimal RNA promoter for minus-strand RNA synthesis by the brome mosaic virus polymerase complex. J Mol Biol 286, 709–720 (1999). [DOI] [PubMed] [Google Scholar]
  • 32.Kim CH, Kao CC, Tinoco I Jr., RNA motifs that determine specificity between a viral replicase and its promoter. Nat Struct Biol 7, 415–423 (2000). [DOI] [PubMed] [Google Scholar]
  • 33.Quadt R, Jaspars EM, Purification and characterization of brome mosaic virus RNAdependent RNA polymerase. Virology 178, 189–194 (1990). [DOI] [PubMed] [Google Scholar]
  • 34.Salmon L, Yang S, Al-Hashimi HM, Advances in the determination of nucleic acid conformational ensembles. Annu Rev Phys Chem 65, 293–316 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Kaiming Zhang SL, Kappel Kalli, Pintilie Grigore, Su Zhaoming, Mou Tung-Chung, Schmid Michael F., Das Rhiju, Chiu Wah, Cryo-EM structure of a 40 kDa SAM-IV riboswitch RNA at 3.7 Å resolution. Nature Communications 10, (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Hartwick EW et al. , Ribosome-induced RNA conformational changes in a viral 3’-UTR sense and regulate translation levels. Nat Commun 9, 5074 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Kalvari I. et al. , Non-Coding RNA Analysis Using the Rfam Database. Curr Protoc Bioinformatics 62, e51 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Kalvari I. et al. , Rfam 13.0: shifting to a genome-centric resource for non-coding RNA families. Nucleic Acids Res 46, D335–D342 (2018). [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.

Supplementary Materials

Alignment Files
1

RESOURCES