Abstract
Synopsis The structure of an Hfq homolog from the deep-branching thermophilic bacterium Aquifex aeolicus, determined to 1.5-Å resolution both in apo form and bound to a uridine-rich RNA, reveals a conserved, pre-organized RNA-binding pocket on the lateral rim of the Hfq hexamer.
Abstract The host factor Hfq, as the bacterial branch of the Sm family, is an RNA-binding protein involved in post-transcriptional regulation of mRNA expression and turnover. Hfq facilitates pairing between small regulatory RNAs (sRNA) and their corresponding mRNA targets by binding both RNAs and bringing them into close proximity. Hfq homologs self-assemble into homo-hexameric rings, with at least two distinct surfaces that bind RNA. Recently, another binding site—dubbed the ‘lateral rim’—has been implicated in sRNA•mRNA annealing; the RNA-binding properties of this site appear to be rather subtle, and its degree of evolutionary conservation is unknown. An Hfq homolog has been identified in the phylogenetically deep-branching thermophile Aquifex aeolicus (Aae), but little is known about the structures and functions of Hfq from basal bacterial lineages such as the Aquificae. Thus, we have cloned, overexpressed, purified, crystallized, and biochemically characterized Aae Hfq. We have determined the structures of Aae Hfq in space-groups P1 and P6, both to 1.5 Å resolution, and we have discovered nanomolar-scale binding affinities for uridine- and adenosine-rich RNAs. Co-crystallization with U6 RNA reveals that the outer rim of the Aae Hfq hexamer features a well-defined binding pocket that is selective for uracil. This Aae Hfq structure, combined with biochemical and biophysical characterization of the homolog, reveals deep evolutionary conservation of the lateral RNA-binding mode, and lays a foundation for further studies of Hfq-associated RNA biology in ancient bacterial phyla.
1. Introduction
The bacterial protein Hfq, initially identified as an E. coli host factor required for the replication of RNA bacteriophage Qβ (Franze de Fernandez et al., 1968, Franze de Fernandez et al., 1972), is now known to play a central role in the post-transcriptional regulation of gene expression and mRNA metabolism (Vogel & Luisi, 2011, Sauer, 2013, Updegrove et al., 2016). Hfq has been linked to many RNA-regulated cellular pathways, including stress response (Sledjeski et al., 2001, Zhang et al., 2002, Fantappie et al., 2009), quorum sensing (Lenz et al., 2004), and biofilm formation (Mandin & Gottesman, 2010, Mika & Hengge, 2013). The diverse cellular functions of Hfq stem from its fairly generic role in binding small, non-coding RNAs (sRNA) and facilitating base-pairing interactions between these regulatory sRNAs and target mRNAs. A given sRNA might either upregulate (Soper et al., 2010) or downregulate (Ikeda et al., 2011) one or more target mRNAs via distinct mechanisms. For example, the sRNA RhyB downregulates several Fur-responsive genes under iron-limiting conditions (Masse & Gottesman, 2002), whereas the DsrA, RprA and ArcZ sRNAs stimulate translation of rpoS mRNA, encoding the stationary-phase σs factor (Soper et al., 2010). In general, Hfq is required for cognate sRNA•mRNA pairings to be productive, and abolishing Hfq function typically yields pleiotropic phenotypes, including diminished viability (Fantappie et al., 2009, Vogel & Luisi, 2011).
Hfq is the bacterial branch of the Sm superfamily of RNA-associated proteins (Mura et al., 2013). Eukaryotic Sm and Sm-like (LSm) proteins act in intron splicing and other mRNA-related processing pathways (Will & Luhrmann, 2011, Tharun, 2009, Tycowski et al., 2006), while the cellular functions of Sm homologs in the archaea remain unclear. Though the biological functions and amino acid sequences of Sm proteins vary greatly, the overall Sm fold is conserved across all three domains of life: five antiparallel β-strands form a highly bent β-sheet, often preceded by an N-terminal α-helix (Fig 1; (Kambach et al., 1999)). Sm proteins typically form cyclic oligomers via hydrogen bonding between the β4⋯β5′ (edge) strands of monomers in a head–tail manner, yielding a toroidal assembly of six (Hfq) or seven (other Sm) subunits (Mura et al., 2013). Hfq (and other Sm) rings can further associate into head–head and head–tail stacked rings, as well as polymeric assemblies (Arluison et al., 2006); any in vivo relevance of double-rings and other higher-order species remains unclear (Mura et al., 2013). The oligomerization mechanism also varies: Sm-like archaeal proteins (SmAPs) and Hfq homologs spontaneously self-assemble into stable homo-heptameric or homo-hexameric rings (respectively) that resist chemical and thermal denaturation, whereas eukaryotic Sm hetero-heptamers form via a chaperoned biogenesis pathway. This intricate assembly pathway (Fischer et al., 2011) involves staged interactions with single–stranded RNA (e.g. small nuclear RNAs of the spliceosomal snRNPs), such that RNA threads through the central pore of the Sm ring (Leung et al., 2011). In contrast, Hfq hexamers expose two distinct RNA-binding surfaces (Mikulecky et al., 2004), termed the ‘proximal’ and ‘distal’ (with respect to the α-helix) faces of the ring. These two surfaces can bind RNA independently and simultaneously (Wang et al., 2013), with different RNA sequence specificities along each face.
The proximal face of Hfq preferentially binds uridine-rich single-stranded RNA (ssRNA) in a manner that is well-conserved amongst Gram-positive (Schumacher et al., 2002, Kovach et al., 2014) and Gram-negative bacteria (Weichenrieder, 2014). The binding region, located near the pore, consists of six equivalent ribonucleotide-binding pockets, and can thus accommodate a six-nucleotide segment of ssRNA. Each uracil base π-stacks between a conserved aromatic side-chain (Phe or Tyr) from the L3 loops of adjacent monomers (e.g., F42 in E. coli; Fig 1), and nucleobase specificity is achieved via hydrogen bonding between Q8 and the exocyclic O2 of each uracil (unless otherwise noted, residue numbers refer to the E. coli Hfq sequence). A key physiological function of the proximal face of Hfq is thought to be the selective binding of the U–rich 3′-termini of sRNAs, resulting from ρ–independent transcription termination (Wilson & von Hippel, 1995). Hfq’s recognition of these 3′ ends is facilitated by H57 of the L5 loop (‘310 helix’ in Fig 1), which is well-positioned to interact with the unconstrained, terminal 3′-hydroxyl group (Sauer & Weichenrieder, 2011, Schulz & Barabas, 2014). This mode of recognition may also explain the ability of Hfq to bind specifically to sRNAs over DNA, or other RNAs.
In contrast to the uracil-binding proximal region, the distal face of Hfq preferentially binds adenine-rich RNA, with the mode of binding varying between Gram-negative and Gram-positive species. Hfq homologs from Gram-negative bacteria specifically recognize RNAs with a tri-nucleotide motif, denoted (A–R–N)n, where A=adenine, R=purine, N=any nucleotide; this recognition element was recently refined to be a more restrictive (A–A–N)n motif (Robinson et al., 2014). AAN–containing RNAs bind to a large surface region on the distal face, which can accommodate up to 18 nucleotides of a ssRNA (Link et al., 2009), and such RNAs are recognized in a tripartite manner: (i) the first A site is formed by residues between the β2 and β4 strands of one monomer (E33 ensures adenine specificity); (ii) the second A site lies between the β2 strands of adjacent subunits, and includes a conserved Y25 (Fig 1) that engages in π-stacking interactions; and (iii) a nonspecific nucleotide (N)–binding site bridges to the next A–A pocket. In contrast to this recognition mechanism, the distal face of Gram-positive Hfq recognizes a bipartite adenine–linker (AL)n motif. This structural motif features an A site that is similar to the first A-site of Gram-negative bacteria; in addition, a nonspecific nucleotide-binding pocket acts as a linker (L) site, allowing 12 nucleotides to bind in a circular fashion atop this face of the hexamer (Horstmann et al., 2012, Someya et al., 2012). The ability of the distal face to specifically bind A-rich regions, such as the long, polyadenylated 3′-tails of mRNAs (Folichon et al., 2003), leads to several links between Hfq and mRNA degradation/turnover pathways (Mohanty et al., 2004, Bandyra & Luisi, 2013, Regnier & Hajnsdorf, 2013). The general capacity of Hfq to independently bind RNAs at the proximal and distal sites brings these distinct RNA species into close proximity, as part of an sRNA•Hfq•mRNA ternary complex. Indeed, a chief cellular role of Hfq is the productive annealing of RNA strands in this manner, for whatever downstream physiological purpose (be it stimulatory or inhibitory).
Independent binding of RNAs at the proximal/distal sites elucidates only part of what is known about Hfq’s RNA-related activities. For instance, Hfq has been shown to protect internal regions of sRNA (Balbontín et al., 2010, Ishikawa et al., 2012, Updegrove & Wartell, 2011, Zhang et al., 2002) and to reduce the thermodynamic stability of some RNA hairpins (Robinson et al., 2014), but current mechanistic models for Hfq activity do not account for all of these properties. In addition, recent studies have identified a new RNA-binding site on the Hfq ring, beyond the proximal and distal sites (Sauer, 2013). This third site, located on the outer rim of the Hfq toroid and presaged in RNA-binding studies a decade ago (Sun & Wartell, 2006), is variously termed the ‘lateral’, ‘rim’ or ‘lateral rim’ site (the terms are used synonymously herein). Mutational analyses reveal that an arginine-rich patch near the N-terminal α-helix, containing the segment R16R17E18R19 in E. coli, facilitates rapid annealing of Hfq-bound mRNAs and sRNAs (Panja et al., 2013). These arginine residues, along with conserved aromatic (F/Y39; ‘φ’ in Fig 1) and basic (K47) residues, look to be vital for the binding of full-length sRNAs to Hfq (Sauer et al., 2012). Further understanding of the precise mechanism of RNA binding to the lateral site (and any base specificity at that site) has been hindered by a lack of structural information on Hfqrim⋯RNA interactions. A recent crystal structure of E. coli Hfq complexed with the full-length riboregulatory sRNA RydC (a regulator of biofilms and some mRNAs) revealed a potential binding pocket formed by N13, R16, R17 and F39, and capable of accommodating two nucleotides of uridine (Dimastrogiovanni et al., 2014); however, the exact positioning and geometry of the nucleotides were not discernible at the resolution (3.5 Å) of that model.
Our current mechanistic knowledge of Hfq⋯RNA interactions is based on homologs from proteo-bacterial species, particularly the γ-proteobacteria E. coli and Pseudomonas aeruginosa; structural information about nucleotide-binding at the lateral site is available only from these two species. We do not know if the rim RNA-binding mode is conserved in homologs from other bacterial species, or perhaps even more broadly (in archaeal and eukaryotic lineages). Hfq orthologs from phylogenetically deep-branching bacteria, such as Aquifex aeolicus (Aae), may help clarify the degree of conservation of Hfq’s various RNA-binding surfaces, including the lateral rim. Aae Hfq has been shown, via immunoprecipitation/deep-sequencing studies, to partially restore the phenotype of a Salmonella enterica Hfq knock-out strain, Δhfq (Sittka et al., 2009), but nothing else is known about the RNA-binding properties of Aae Hfq. Precisely positioning Aae within the bacterial phylogeny is difficult given, for instance, that many Aae genes are similar to those in ε-proteobacteria (Eveleigh et al., 2013). Nevertheless, 16S rRNA and genomic sequencing data firmly place Aae, along with other members of the Aquificales phylum, among the deepest branches in the bacterial tree—near the bacterial/archaeal divergence. Sequence similarity to proteobacterial genes has been attributed to extensive lateral gene transfer (Oshima et al., 2012, Boto, 2010); importantly, extensive lateral transfer does not seem to be an issue with Hfq homologs (Sun et al., 2002), and Sm proteins likely have a single, well-defined origin (Veretnik et al., 2009).
Here, we report the crystal structure and RNA-binding properties of an A. aeolicus Hfq ortholog. Aae Hfq crystallized in multiple space-groups, with both hexameric and dodecameric assemblies in the lattices. These oligomeric states were further examined in solution, via chemical crosslinking assays, analytical size-exclusion chromatography, and light-scattering experiments. We found that Aae Hfq binds uridine– and adenosine–rich RNAs with nanomolar affinities in vitro, and that the inclusion of Mg2+ enhances binding affinities by factors of ≈2× (A-rich) or ≈10× (U-rich). Co-crystallization of Aae Hfq with U6 RNA reveals well-defined electron density (to 1.5 Å) for at least two ribonucleotides in a rim site, suggesting that this auxiliary RNA-binding site is conserved even amongst evolutionarily ancient bacteria. Finally, comparative structural analysis reveals that (i) the spatial pattern of Hfq⋯ RNA interatomic contacts, which effectively defines the rim site, is preserved between Aae and E. coli, and (ii) the residues comprising the Aae Hfq rim site are pre-organized for U–rich RNA binding.
2. Materials and Methods
2.1. Cloning, expression and purification of Aae Hfq
The Aae hfq gene was cloned via the polymerase incomplete primer extension (PIPE) methodology (Klock & Lesley, 2009), using an A. aeolicus genomic sample as a PCR template. The T7-based expression plasmid pET-28b(+) was used, yielding a recombinant protein construct bearing an N-terminal His6×-tag and a thrombin-cleavable linker preceding the Hfq (Supp Fig S1a, Supp Table S1); in all, the tag and linker extended the 80-aa native sequence by 20 residues. Plasmid amplification, and in vivo ligation of the vector and insert, were achieved via transformation of the PIPE products into chemically competent TOP10 E. coli cells. Recombinant Aae Hfq was produced by transforming the plasmid into the BL21(DE3) E. coli expression strain, followed by outgrowth in Luria-Bertani media at 310 K. Finally, expression of Aae Hfq from the T7lac-based promoter was induced by the addition of 1 mM isopropyl-β-D-thiogalactoside (IPTG) when the optical density, measured at 600 nm (OD600) reached ≈ 0.8–1.0. Cell cultures were then incubated at 310 K, with shaking (≈230rpm), for an additional four hours, pelleted at 15,000g for 5 minutes at 277 K, and then stored at 253 K overnight.
Cell pellets were re-suspended in a solubilisation and lysis buffer (50 mM Tris pH 7.5, 750 mM NaCl, 0.4 mM PMSF, and 0.01 mg/ml chicken egg white lysozyme (Fisher)) and incubated at 310 K for 30 min. Cells were then mechanically lysed using a microfluidizer. To clarify cell debris, the lysate was pelleted via centrifugation at 35,000g for 20 min at 277 K. The supernatant from this step was then incubated at 348 K for 20 min, followed by centrifugation at 35,000g for 20 min; this heat-cut step was performed because most Hfq homologs examined thus far have been thermostable, and because A. aeolicus is a hyperthermophile (optimum growth temperature, Topt ≈ 368 K (Huber & Eder, 2006)). To reduce contamination by any spurious E. coli nucleic acids, which have been known to co-purify with other Hfqs, the clarified supernatant from the heating step was treated with high concentrations (≈ 6 M) of guanidinium hydrochloride (GndCl), followed immediately by 0.2-µm syringe filtration.
Recombinant Aae Hfq was then purified via immobilized metal affinity chromatography (IMAC), using a Ni2+–charged iminodiacetic acid–sepharose column with an NGC (BioRad) medium-pressure liquid chromatography system. After loading the clarified supernatant from the heat-cut and GndCl treatment steps, the column was treated with four column volumes of wash buffer (50 mM Tris pH 8.5, 150 mM NaCl, 6 M GndCl, 10 mM imidazole). Next, Aae Hfq was eluted by applying a linear gradient, from 0–100% over 10 column volumes, of elution buffer (identical to the wash buffer, but with 600 mM imidazole). Protein-containing fractions, as assessed by the absorbance at 280 nm and chromatogram elution profiles, were then combined and dialyzed into a buffer of 25 mM Tris pH 8.0, 1 M arginine in order to remove GndCl. The protein was then dialyzed into 50 mM Tris pH 8.0, 500 mM NaCl and 12.5 mM EDTA in preparation for removal of the His6×-tag. The Aae Hfq sample was subjected to proteolysis with thrombin, at a 1:600 Hfq:thrombin ratio (by mass), by incubating at 315 K overnight (≈16 h), followed by application to a benzamidine affinity column to remove the thrombin. To improve sample homogeneity, Aae Hfq was further purified over a preparative-grade gel-filtration column containing Superdex™ 200 Increase resin; Aae Hfq eluted as a single, well-defined peak. Chromatographic steps were conducted at room temperature; lengthier incubation steps, such as dialysis, were carried out at 310 or 315 K throughout the purification, as Aae Hfq samples were found to be relatively insoluble over a few hours at room temperature (≈ 295 K).
Aae Hfq sample purity was generally assayed via SDS-PAGE gels or matrix assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Samples were prepared for MALDI by diluting 1:4 (v/v) with 0.01% v/v trifluoroacetic acid (TFA) and then spotting on a steel MALDI plate in a 1:1 v/v ratio with a matrix solution (15 mg/ml sinapinic acid in 50% acetonitrile, 0.05% TFA); this mixture crystallized in situ via solvent evaporation. Mass spectra were acquired on a Bruker MicroFlex instrument operating in linear, positive-ion mode (25 kV accelerating voltage; 50-80% grid voltage), and final spectra were the result of averaging at least 50 laser shots. Two sets of molecular weight calibrants were used for low (4–20 kDa) and high (20–100 kDa) m/z ranges. Purification progress and sample MALDI spectra are illustrated in Supp Fig S1b and Fig 2, respectively.
2.2. Crosslinking assays
Purified Aae Hfq was chemically crosslinked, using formaldehyde, in a so-called ‘indirect’ (vapor diffusion–based) method (Fadouloglou et al., 2008). First, Aae Hfq samples at 0.6 mg/ml were dialyzed into a buffer consisting of 25 mM HEPES pH 8.0 and 500 mM NaCl. Reaction solutions were prepared in 24-well Linbro plates using micro-bridges (Hampton Research). Immediately before use, 5 N HCl was added to 25% w/v formaldehyde in a 1:40 v/v ratio. Next, 40 µl of this acidified formaldehyde solution was added to the micro-bridge, and 15 µl of the 0.6 mg/ml Aae Hfq was added to a silanized coverslip. Greased wells were then sealed by flipping over the coverslips and the reaction was incubated at 310 K for 40 min. Reactions were quenched by the addition of a primary amine; specifically, 5 µl of 1 M Tris pH 8.0 was mixed into the 15 µl protein droplet. Crosslinked samples were then desalted on a C4 resin (using ZipTip® pipette tips) in preparation for analysis via MALDI-TOF MS as described above.
2.3. Analytical size-exclusion chromatography and multi-angle static light scattering
Analytical size-exclusion chromatography (AnSEC) was performed with a pre-packed Superdex 200 Increase 10/300 GL column and a Bio-Rad NGC™ medium-pressure liquid chromatography system. All protein samples were dialyzed into a running buffer consisting of 50 mM Tris pH 8.0 and 200 mM NaCl. Aae Hfq samples that were mixed with RNA sequences, denoted ‘U6’ (5′-monophosphate– r(U)6–3′-OH) or ‘A18’ (5′-monophosphate–r(A)18–3′-OH), were equilibrated by incubation at 310 K for 1 h prior to loading onto the AnSEC column. Elution volumes were measured by simultaneously monitoring the absorbance at 260 nm (RNA) and 280 nm (protein). A standard curve was generated using the Sigma gel-filtration markers kit, with calibrants in the 12–200 kDa molecular weight range: cytochrome c (12.4 kDa), carbonic anhydrase (29 kDa), bovine serum albumin (66 kDa), alcohol dehydrogenase (150 kDa) and β-amylase (200 kDa); blue dextran was used to calculate the void volume, V0.
To determine absolute molecular masses (i.e., without reference standards and implicit assumptions about spheroidal shapes), and in order to assess potential polydispersity of Aae Hfq in solution, multi-angle static light scattering (MALS) was used in tandem with size-exclusion chromatographic (SEC) separation. A flow-cell–equipped light scattering (LS) detector was used downstream of the SEC, in-line with an absorbance detector (UV) and a differential refractive index (RI) detector. In our SEC–UV/RI/LS system, (i) the SEC step serves to fractionate a potentially heterogeneous sample (giving the usual chromatogram, recorded at either 280 or 260 nm on a Waters UV/vis detector), (ii) the differential refractometer (RI) estimates the solute concentration via changes in solution refractive index (i.e., dn/dc), and (iii) the LS detector measures the excess scattered light. This workflow was executed on a Waters HPLC system equipped with the Wyatt instrumentation noted below, and utilized the same column and solution buffer conditions as described above (§2.1). LS measurements were taken at three detection angles, using a Wyatt miniDAWN TREOS (λ = 658 nm), and the differential refractive index was recorded from a Wyatt Optilab T-rEX. This enables the molecular mass of the solute in each fraction to be determined because the amount of light scattered (from the LS data) scales with the weight-averaged molecular masses (desired quantity) and solute concentrations (from the RI data); if multiple species exist in a given (heterogeneous) fraction, the polydispersity can be quantified as the ratio of the weight-averaged (Mw) and number-averaged molar masses (Mn). Data were processed and analysed using Wyatt’s ASTRA software package, applying the Zimm formalism to extract the weight-averaged molecular masses (Folta-Stogniew, 2009).
2.4. Fluorescence polarization–based binding assays
RNA–binding affinities were determined via fluorescence anisotropy/polarization experiments (FA/FP; (Pagano et al., 2011)), using fluorescein-labelled oligoribonucleotides. In particular, the RNA probes 5′-FAM–r(U)6–3′-OH (FAM–U6) and 5′-FAM–r(A)18–3′-OH (FAM–A18) were used, with fluorescein amidite (FAM) modification of the 5′ ends; the FAM label features absorption and emission wavelengths, λmax, of 485 nm (excitation) and 520 nm (detection), respectively. FAMlabelled RNAs at 5 nM were added to a serially-diluted concentration series of purified Aae Hfq (in 50 mM Tris pH 8.0, 250 mM NaCl), and allowed to equilibrate for 45 minutes at room temperature. For binding assays that were supplemented with Mg2+, a 10 mM MgCl2 stock solution was used. The fluorescence polarization, P, is measured as where I|| and I⊥ are the emitted light intensities in directions parallel and perpendicular to the excitation plane, respectively. FP data were recorded on a PheraSTAR spectrofluorimeter equipped with a plate reader (BMG Labtech), and values from three independent trials were averaged. The effective polarization, in units of millipolarization (mP), was plotted against log[(Hfq)6]. Binding data were fit, via nonlinear least-squares regression, to a logistic functional form of the classic sigmoidal curve for saturable binding. Specifically, the four-parameter equation was used, where the independent variable x is the log[(Hfq)6] concentration at a given data point and the fit parameters are: (i) A1, the polarization at the start of the titration (unbound; lower plateau of the binding isotherm); (ii) A2, the final polarization at the end of the titration (saturated binding; upper plateau); (iii) x0, the apparent equilibrium dissociation constant (KD) for the binding reaction in terms of log[(Hfq)6]; and (iv) a parameter, dx, giving the characteristic scale/width over which the slope of the sigmoid changes (essentially the classic Hill coefficient, measuring the steepness of the binding curve). Calculations were performed with in-house code written in the R programming language, using the RSTUDIO integrated development environment.
2.5. X-ray crystallography
2.5.1. Crystallization
Prior to crystallization trials, purified Aae Hfq was dialyzed into a buffer of 50 mM Tris pH 8.0 and 500 mM NaCl, and concentrated to 4.0 mg/ml. Protein samples were typically stored at 310 K, to retain solubility, and used within two weeks of purification. All crystallization trials were performed using the vapour diffusion method in sitting-drop format. Sparse-matrix screening (Jancarik & Kim, 1991) yielded initial leads (visible crystals) under several conditions, and these were then optimized by adjusting the concentration of protein and precipitating agent, as well as the pH of the mother liquor. Diffraction-grade crystals (Supp Figs S1c, d) were reproducibly obtained with 0.1 M sodium cacodylate pH 5.5, 5% w/v PEG-8000, and 40% v/v 2-methyl-2,4-pentanediol (MPD) as the crystallization buffer. In our final condition, 6-μl sitting drops (3 μl well + 3 μl of 4 mg/ml Aae Hfq) were equilibrated, at 295 K, against 600-μl wells containing the crystallization buffer. Initial micro-crystals developed over several days. Optimization of the above condition via additive screens (Hampton Research) led to the discovery of several compounds that, in a 1:4 v/v additive:crystallization buffer ratio, slowed nucleation and increased crystal size. The optimized crystals grew to average dimensions of 50x50x10 µm/edge within 2 weeks and adopted cubic or hexagonal plate morphologies. Three particularly useful additives, used in subsequent crystallization trials, were: (i) 0.1 M hexamminecobalt(III) chloride, [Co(NH3)6]Cl3, (ii) 1.0 M GndCl and (iii) 5% w/v of the non-ionic detergent n-octyl-β-D-glucoside. The final apo-form Aae Hfq crystals were obtained with additive (i); details are provided in Supp Table S2. Aae Hfq also was co-crystallized with a U-rich RNA (U6), under the above crystallization conditions and supplemented with additive (ii); these crystals were obtained by first incubating the purified protein with 500 µM 5′-monophosphate–r(U)6–3′-OH (hereafter denoted ‘U6’), in a 1:1 ratio, at 310 K for 1 h prior to setting-up the crystallization drop.
2.5.2. Diffraction data collection and processing
The crystallization conditions described above adequately protected Aae Hfq crystals against ice formation upon flash-cooling (presumably because of the MPD), making it unnecessary to transfer crystals to an artificial mother liquor/cryo-protectant. Crystals were harvested using nylon loops and flash-cooled with liquid nitrogen. Diffraction data were collected at the Advanced Photon Source (APS) beamlines 24-ID-E and 24-ID-C for the apo and U6-bound crystal forms, respectively. Initial data-processing steps—indexing/integrating, scaling and merging—were performed in XDS (Kabsch, 2010). Space-group assignments and unit cell determinations utilized POINTLESS from the CCP4 suite (Winn et al., 2011). Cell dimensions for the apo form (P1) are a = 63.45 Å, b = 66.06 Å, c = 66.10 Å, α = 66.05°, β = 83.94°, γ = 77.17°, and the U6–co-crystals (P6) have a = b = 66.19 Å, c = 34.21 Å.
2.5.3. Structure solution, refinement and validation
Initial phases for the diffraction data-sets for both crystal forms were obtained via molecular replacement (MR). Specifically, the PHASER (McCoy et al., 2007) software was used, with the P. aeruginosa (Pae) hexamer structure (PDB 1U1S) as a search model for phasing of both crystal forms (Aae and Pae Hfq share high sequence similarity; see Fig 1). Note that initial phases for the P1 and P6 Aae crystal forms were obtained independently of one another, i.e. via parallel MR efforts. For the P1 (apo) form, with 12 monomers/unit cell (indicative of two hexamers), the calculated Matthew’s coefficient (VM) is 2.06 Å3/Da, corresponding to a solvent content of 40.21% by volume. For the P6 (U6bound) form, only one monomer/ASU is feasible, with a VM = 2.28 Å3/Da and a 46.08% solvent content. These and related characteristics are summarized in Table 1.
After obtaining initial MR solutions in PHASER, the correct Aae Hfq amino acid sequence was built and side-chains completed in a largely automated manner, using the PHENIX suite’s AUTOBUILD functionality (Adams et al., 2010). Individual solvent molecules, including H2O, MPD, and Gnd, were added in a semi-automated manner (i.e., with visual inspection and manual adjustment) after the initial stages of refinement. Refinement of atomic positions, occupancies and atomic displacement parameters (ADPs)—either as isotropic ‘B-factors’ or as full anisotropic ADPs—proceeded over several rounds in PHENIX. Some early refinement steps included simulated annealing torsion angle dynamics of coordinates, as well as refinement of TLS parameters to account for anisotropic disorder of each subunit chain (one TLS group defined per monomeric subunit). These steps yielded Rwork/Rfree values of 0.194/0.212 and 0.212/0.223 for the P1 and P6 datasets, respectively. The diffraction limits of the P1 and P6 forms—1.49 Å and 1.50 Å, respectively—occupy an intermediate zone, between the atomic-resolution (d ≲ 1.4 Å) and medium resolution (d ≳ 1.7 Å) limits whereupon clearer decisions can be made as to the treatment of B-factors (Merritt, 2012). For instance, a relatively simple model (fewer parameters/atom), featuring individual isotropic B-factors and one TLS group per chain, might be most justifiable at ≈1.6 Å, depending on the quality of the diffraction data, whereas a more complex B model with a greater number of parameters—e.g., full anisotropic ADP tensors, Uij, one per atom—is likely to be statistically valid (and, indeed, advised) at resolutions better than ≈1.3 Å.
For both the P1 and P6 forms of Aae Hfq, a final B-factor model was chosen based on analyses of the data/parameter ratio (i.e., number of reflections/atom), Hamilton’s generalized residual (Hamilton, 1965) and related criteria, as implemented in the bselect routine of the PDB_REDO code (Joosten et al., 2012). The P1 and P6 data-sets contained 16.5 and 17.5 reflections per atom, respectively, making the anisotropic refinement problem nearly two-fold overdetermined; PDB_REDO’s unsupervised decision algorithm identified the fully anisotropic, individual B-factor model as being optimal. The structural models resulting from various ADP refinement strategies were assessed using the protein anisotropic refinement validation and analysis tool (PARVATI; (Zucker et al., 2010)). In the final refinement stages for both Aae Hfq crystal forms, P1 (Z=12 monomers/cell) and P6 (Z=6 monomers/cell), full anisotropic B-factor tensors were refined individually for virtually every atom. (A small fraction of atoms in both the P1 and P6 models were treated isotropically, i.e. by refining individual Biso values; most of these atoms, selected based on per-atom statistical tests in PDB_REDO, were either water or heteroatoms [e.g., Gnd in P1, PEG in P6].) At no point in the refinement were NCS restraints or constraints imposed for the 12 subunits in the P1 cell. All steps of manual refinement and adjustment of the model were done in COOT (Emsley et al., 2010).
After the correct protein sequence had been built and refined against the P6 dataset, at least two complete nucleotides of U6 RNA—including three phosphate groups—were clearly visible in σA-weighted difference electron-density maps (mFo − DFc). Ribonucleotides were built into electron density using the RCRANE utility (Keating & Pyle, 2010), after an initial round of refinement of coordinates, occupancies and individual B-factors in PHENIX. Validation of the final structural models included (i) inspection of the Ramachandran plot, via PROCHECK (Laskowski et al., 1993); (ii) assessment of nonbonded interactions and geometric packing quality, via ERRAT (Colovos & Yeates, 1993); (iii) analysis of sequence/structure compatibility, via the profile–based method of VERIFY3D (Eisenberg et al., 1997); and, finally, (iv) detailed stereochemical/quality checks with the MOLPROBITY software (Chen et al., 2010). Final structure determination and model refinement statistics are provided in Table 2.
2.6. Sequence and structure analyses
Sequences of verified Hfq homologs, drawn from diverse bacterial phyla, were selected for alignment and analysis against Aae Hfq. Here, we take ‘verified’ to mean that the putative Hfq homolog, from the published literature, has been identified via functional analysis or structural similarity (e.g., shown to adopt the Sm fold). Multiple sequence alignments were computed via two progressive alignment codes: (i) the multiple alignment using fast Fourier transform method (MAFFT; (Katoh & Standley, 2013)) and (ii) a sequence comparison approach using log-expectation scores for the profile function (muscle; (Edgar, 2004)). The geneious bioinformatics platform (Kearse et al., 2012) was used for some data/project-management steps and tree visualization purposes. Multiple sequence alignments (Fig 1) were processed using ESPRIPT (Gouet et al., 1999), run as a command-line tool; the resulting PostScript source was then modified to obtain final figures. Iterative PSI-BLAST (Camacho et al., 2009) searches against sequences in the PDB were used to identify homologous proteins as trial MR search models. Pae Hfq, with 46% pairwise identity to Aae Hfq (across 97% query coverage), exhibited the greatest sequence similarity (≈63%, at the level of BLOSUM62) and was therefore chosen as the initial MR search model.
Structural alignments were performed using a least-squares fitting algorithm (McLachlan, 1982) implemented in the program PROFIT (Martin & Porter, 2009). Multiple structural alignment of the 12 monomeric subunits in the apo form of Aae Hfq was used to create a mean reference structure, and each monomer was then aligned to that averaged reference. To assess 3D structural similarity between each of the n(n–1)⁄2 distinct pairs of monomers, a pairwise distance matrix was constructed by computing main-chain RMSDs between subunits i and j, giving matrix element (i, j). Agglomerative hierarchical clustering was performed on this distance matrix, using either the complete–linkage criterion or Ward’s variance minimization algorithm with a Euclidean distance metric (Jain et al., 1999); in-house code was written for these steps in both the R (within RSTUDIO) and Python languages.
Secondary structural element residue boundaries were determined by a consensus approach, via visual inspection in PYMOL as well as the automated assignment tools DSSP and STRIDE. Normal mode analyses of the P1 and P6 structures—taken as coarse-grained (Cα-only) representations and treated as anisotropic network models (ANM)—were performed with the PRODY/NMWIZ (Bakan et al., 2011) plugin to VMD (Humphrey et al., 1996), using default parameters for ANM spring constants and interaction cutoff distances. Of the 3N–6 nontrivial modes, displacements along the softest ≈ 20 vibrational modes, which correspond to low-frequency/high-amplitude collective motions, were visually inspected in VMD. Other structure analyses (e.g., Fig 6a) entailed computing the principal axes of the moment of inertia tensor and the best-fit plane to 3D structures (in the sense of linear least-squares); the latter task utilized a previously-described singular value decomposition code (Mura et al., 2010), and all other structural analysis tasks employed in-house code written in Python or as Unix shell scripts. Nucleic acid stereochemical parameters and conformational properties, e.g. values of glycosidic torsion angles and sugar pucker phase angles of the U6 RNA, were analysed and calculated with the program DSSR (Lu et al., 2015). Surface area properties, such as solvent-accessible surface areas (SASA) and buried surface areas (BSA, or ΔSASA), were calculated as averages from five approaches: (i) Shrake & Rupley’s ‘surface-dot’ counting method (Shrake & Rupley, 1973), as implemented in AREAIMOL; (ii) the classic Lee & Richards ‘rolling-ball’ method (Lee & Richards, 1971), available in NACCESS; (iii) the ‘reduced surface’ analytical approach of MSMS (Sanner et al., 1996); and more approximate (point-counting) methods from the structural analysis routines available in (iv) PyMOL and (v) PyCogent (Cieślik et al., 2011).
All molecular graphics illustrations in Figs 5–8 and Supp Figs S3–S6 were created in PyMOL, with the exception of Fig S4e, f (created in VMD, rendered with Tachyon). LigPlot+ (Laskowski & Swindells, 2011) was used in creating schematic diagrams of interatomic contacts, as in Fig 8. Many of our scientific software tools were used as SBgrid–supported applications (Morin et al., 2013).
3. Results
The organism A. aeolicus belongs to the taxonomic order Aquificales, in the phylum Aquificae, within what may be the most phylogenetically ancient and deeply branching lineage of the Bacteria. Thus, this species offers a potentially informative context in which to examine the evolution of sRNA-based regulatory systems, such as those built upon Hfq. The Aae genome contains an open reading frame with detectable sequence similarity to characterized Hfq homologs (e.g., from E. coli and other proteobateria), and an RNomics/deep-sequencing study has shown that this putative Hfq homolog, upon heterologous expression in the γ-proteobacterium Salmonella enterica, can immunoprecipitate host sRNAs (Sittka et al., 2009). Sequence analysis confirms that this putative Hfq can be identified via database searches (Fig 1), and that this homolog exhibits enhanced residue conservation at sequence positions that correspond to the three RNA-binding sites on the surface of Hfq (proximal, distal and the lateral rim, denoted in the consensus line in Fig 1). As the first step in our crystallographic studies, we cloned, expressed and purified recombinant Aae Hfq; in these initial experiments, Aae Hfq generally resembled hitherto characterized Hfq homologs in terms of biochemical properties (e.g., resistance to chemical and thermal denaturation, hexamer formation).
3.1. Cloning, expression, purification and initial biochemical examination of Aae Hfq
Recombinant, wild-type Aae Hfq was successfully cloned, over-expressed and purified from E. coli, as confirmed by various biochemical and biophysical data, including SDS-PAGE gels (Supp Fig S1) and MALDI-TOF mass spectra of the native protein (Fig 2a). The His6×-tagged Aae Hfq is 100 amino acids (AA) long, with a molecular weight of 11,365.0 Da and a predicted isoelectric point of 9.69; the working Aae Hfq construct, obtained via proteolytic removal of the tag (Supp Fig S1a), is 83 AA (9,482.9 Da, pI = 9.45). The expected mass, computed from the AA sequence, is in close agreement with that experimentally characterized by MALDI–TOF, indicating successful (complete) removal of the affinity tag (Fig 2a) at position G−2 (residue numbering is such that the native methionine is M1).
Initial Aae Hfq purification efforts were hindered by nucleic acid contaminants. Specifically, purified protein samples exhibited A260/A280 absorbance ratios of ≈ 1.65, indicative of co-purifying nucleic acids (De Mey et al., 2006, Patterson & Mura, 2013); this problem is perhaps unsurprising, given the known affinity of Hfq for nucleic acids, combined with Aae Hfq’s particularly high pI. By applying systematic colorimetric assays (Patterson & Mura, 2013) to Aae Hfq samples with high A260/A280 ratios (Supp Fig S2a), we found that the co-purifying nucleic acids likely comprise a heterogeneous pool of RNAs, with lengths between ≈ 100-200 base pairs (Supp Fig S2b). Early experiments using anion-exchange chromatography revealed that nucleic acid–bound Hfq would elute at three distinct ionic strengths (in a linear salt gradient), and each peak appeared to contain a population of nucleic acids that varied in length, both within one peak and between the three peaks (data not shown). To obtain well-defined, well-behaved apo Aae Hfq samples—for downstream RNA-binding assays, crystallization trials, etc.—relatively high concentrations (≈ 6 M) of guanidinium were added to cell lysates, the aim being to dissociate spurious Hfq-associated nucleic acids. Inclusion of Gnd in the purification workflow (see Methods) yielded samples with improved A260/A280 ratios (≈ 0.8), suggesting that nucleic acid contamination had been alleviated. Notably, the Gnd denaturant did not appear to unfold or disrupt Aae Hfq’s oligomerization properties, based on various observations; for instance, a discrete band corresponding to the hexameric assembly persisted on SDS-PAGE gels of Gnd-treated samples (Supp Fig S1b).
As an initial assessment of its self-assembly properties and oligomeric states in solution, purified Aae Hfq was examined by analytical size-exclusion chromatography (Fig 3a, b black traces). The protein elutes as a single, well-shaped peak, with no apparent splitting, broadening, shouldering, tailing, etc. However, the location of this peak is unexpected: the peak elution volume gives a molecular weight (MW) of ≈ 37 kDa, rather than the ≈ 57 kDa expected for an Aae Hfq hexamer. This apparent MW, obtained using a standard curve as described in the Methods section, could indicate a tetrameric assembly, for which the MW is calculated to be 37.9 kDa. Shape-dependent deviations from ideal migration properties would be expected to give an (Hfq)6 species that migrates faster, not slower, than anticipated based purely on MW, given the larger effective hydrodynamic radius of a toroidal hexamer (versus the roughly globular standards used to calibrate our column elution volumes). However, favourable protein⋯resin interactions would tend to retard the migration of an Aae Hfq oligomer, leading to a smaller apparent MW species. Given the highly basic pI, and resultant charge on Aae Hfq at near-neutral pHs, we suspect that the low MW estimate from AnSEC stems from protein⋯resin interactions, electrostatic or otherwise; spurious Aae Hfq retention was also seen in experiments with other, unrelated chromatographic resins; note that nonspecific protein adsorption to SEC resins was first documented long ago (Belew et al., 1978) and has been reviewed (Arakawa et al., 2010).
The aberrant AnSEC elution behaviour prompted us to assay the Aae oligomeric state by alternative means. SEC coupled with multi-angle light scattering (MALS) showed that the Aae Hfq eluting at this peak position corresponds to a hexamer, with a weight-averaged molecular weight, Mw, of 58.75 kDa (Fig 3c). A plot of the molar mass distribution (Fig 3c, green circles) exhibits uniform values across this Aae Hfq peak (Fig 3c, inset), indicating that this region of the eluted sample is mono-disperse. Aae Hfq monomers were susceptible to chemical crosslinking with formaldehyde, as analysed by MALDI–TOF MS (Fig 2). The main peak in the mass spectrum of this sample (Fig 2b) corresponds to a hexamer (57,498.0 Da from MS, versus 56,897.4 Da from the sequence); a second peak, near ≈ 115 kDa, corresponds to within 1.5% of the MW of a dodecameric assembly. Some Sm and Hfq orthologues have been found to assemble into stacked double-rings and other higher-order species, based on analytical ultracentrifugation and light-scattering data (Mura, Kozhukhovsky, et al., 2003, Mura, Phillips, et al., 2003, Dimastrogiovanni et al., 2014), electron microscopy (Arluison et al., 2006, Mura, Kozhukhovsky, et al., 2003), gel-shift assays and other approaches; however, an integrated experimental analysis, using multiple independent methodologies on the same Hfq system, strongly suggests that the (Hfq)6•RNA binding stoichiometry is predominantly 1:1 (Updegrove et al., 2011).
3.2. Characterization of RNA-binding by Aae Hfq in solution
To evaluate putative RNA interactions with Aae Hfq, solution-state binding interactions between Aae Hfq and either U6 or A18 (unlabelled) RNAs were examined via analytical size-exclusion chromatography. RNAs that are U-rich (e.g., U6) or A-rich (e.g., harbouring an (AAN)n motif) are known to bind at the proximal and distal faces, respectively, of Hfq homologs from Gram-negative species. U6 RNA was shown to bind Aae Hfq in solution via comparison of the following elution profiles (Fig 3a): (i) Hfq-only (black trace, detected via absorbance at 280 nm), (ii) U6-only (grey, monitored at 260 nm) and (iii) an Hfq+U6 mixture (red, 260 nm). In sample (iii), the Hfq+U6 mixture, note the absence of a U6 RNA peak near 19.5 mL (Fig 3a, grey), and concomitant peak shift centred at the Hfq-only trace, indicative of saturated binding of the RNA. Properties of the elution profiles for samples (i) and (iii)—specifically, no shift in the peak position and no alteration of the bilateral symmetry of the peak—suggest that the addition of U6 does not alter the apparent monomer↔hexamer equilibrium of Aae Hfq.
In contrast to the U6 behaviour, adding A18 RNA to an Aae Hfq sample does appear to shift the Hfq oligomeric state to a higher-order species (Fig 3b, blue trace, major peak) that coexists with the usual hexamer (blue trace, minor peak). This newly-appearing, A18-induced species is hydrodynamically larger than (Hfq)6, as it elutes far earlier than does Hfq in the Hfq-only sample (black trace); the higher-order appears to correspond to an Aae Hfq dodecamer. This was further verified based on the Mw determined through SEC-MALS experiments done in parallel (data not shown). Also, note that the Hfq+A18 trace is devoid of a peak at the A18-only position (i.e., no peak in the blue trace, near the ≈ 18.5 mL peak location of the grey trace), indicating that binding has saturated with respect to A18.
To further quantify the interactions of Hfq with U-rich and A-rich RNAs, the binding affinities for Aae Hfq with 5′-FAM–labelled RNA oligoribonucleotides were determined via fluorescence polarization (FP) assays (Fig 4). We took FAM-U6 and FAM-A18 probes as proxies for U-rich and A-rich ssRNAs, enabling us to assay the strength of Aae Hfq⋯RNA interactions with these prototypical A/U-rich RNAs (for brevity, we simply refer to these RNAs as ‘U6’ and ‘A18’ if the FAM is obvious from context). Both U6 and A18 were found to bind Aae Hfq with similarly high affinities: the nanomolar–scale dissociation constants (KD) are 21.3 nM for U6 and 17.4 nM for A18 (Fig 4, thin traces). The inclusion of 10 mM Mg2+ in the binding reaction enhanced the U6–binding affinity by an order of magnitude, yielding a KD of 2.1 nM (Fig 4; red, thicker trace); the A18–binding affinity also increased in the presence of Mg2+, though by only two-fold, to a KD of 9.5 nM (blue, thicker trace). No significant binding was detected between Aae Hfq and either FAM-A6 or FAM-C6 (data not shown).
3.3. Crystal structures of Aae Hfq monomers and oligomers, and the lattice packing
Crystals of Aae Hfq were readily obtained in multiple forms, including hexagonal plates and small, birefringent parallelepiped habits (Supp Fig S1c). At least three distinct morphologies could be identified, which we denote (i) a ‘P1 form’ (apo Hfq, without RNA), (ii) a ‘P6 form’ (with RNA, see §3.4 below) and (iii) a third form that likely belongs to space-group P31 or P62. Forms (i) and (ii) were well-diffracting (Supp Fig S1d), leading to the P1 and P6 structures reported here; the third form yielded diffraction data with potential pathologies, including translational pseudosymmetry or tetartohedral twinning, and its structure is the subject of future work (Stanek & Mura, unpublished data). Initial Aae Hfq crystals were obtained with a crystallization reagent comprised of 0.1 M sodium cacodylate, 5% w/v PEG 8000 and 40% v/v MPD; inclusion of [Co(NH3)6]Cl3 additive, at ≈10 mM in the final crystallization drop, improved specimen size and quality. These apo Aae Hfq crystals formed in space-group P1, with cell dimensions a = 63.46 Å, b = 66.06 Å, c = 66.10 Å, α = 60.05°, β = 83.94°, γ = 77.17°. These dimensions are most consistent with Z ≈ 10–12 monomers/cell, and a resolution-dependent probabilistic estimator for the Matthews coefficient (Kantardjieff & Rupp, 2003) gives a 12-mer as the second highest peak; also, the a ≈ b ≈ c geometry is consistent with a model wherein two Hfq hexameric rings, which generally measure ≈ 65 Å in diameter, stack atop one another in the cell.
The P1 Aae Hfq structure was refined to 1.49 Å resolution, with initial phases obtained by molecular replacement with a Pae Hfq hexamer search model (PDB 1U1S; (Nikulin et al., 2005)). The Pae homolog was used because sequence analysis (Fig 1) showed it to have the greatest sequence identity (>40%) to Aae Hfq. A promising molecular replacement solution was readily identified, and side-chains for the Aae Hfq sequence were initially built in an automated manner using PHENIX. As detailed in the Methods section, the number of reflections per atom, as well as other diffraction data quality statistics, prompted us to refine atomic displacement parameters (ADPs) via treatment of the full, anisotropic B-factor tensor for essentially all non-hydrogen atoms (most of the isotropically-treated exceptions were atoms of solvent molecules or small-molecule components of the crystallization buffer). Anisotropic treatment of individual ADPs began at a relatively late stage in the overall refinement workflow, and doing so noticeably improved the Rwork/Rfree residuals, from 13.6%/17.2% to 12.8%/15.6% before and after anisotropic treatment, respectively (Table 2). The final, refined P1 model was subjected to extensive validation and quality assessment, as described in the Methods section, in terms of both the 3D structure itself (i.e., atomic coordinates) as well as the patterns of B-factors (i.e., anisotropic ADPs).
The overall 3D structure of the Aae Hfq monomer (Fig 5) is that of the Sm fold, as anticipated based on sequence similarity and the efficacy of MR in phasing the diffraction data. In particular, an N-terminal α-helix is followed by five highly-curved β-strands arranged as an antiparallel β-sheet. The secondary structural elements (SSEs), shown schematically in Fig 1, are labelled in the 3D structure of Fig 6b. Precise SSE boundaries in Aae Hfq, computed with STRIDE, are residues # 5–16 (α1), 19–24 (β1), 29–38 (β2), 41–46 (β3), 49–54 (β4) and 58–63 (β5); the same ranges are obtained with DSSP, save that DSSP’s criteria make F37 (not D38) the end of the most curved strand (β2). Most of Aae Hfq’s β-strands are delimited by loops that adopt various β-turn geometries (including types I, II′, IV, VIII), with the exception of a short 310 helix (residues 55–57) between β4→β5. These loops contain many of the RNA-contacting residues of Hfq (see below) and, as labelled in Figs 1, 5, 6 and 9, we denote these linker regions as L1→5. Noncovalent interactions between Hfq monomers include van der Waals contacts and hydrogen bonds between the backbones of strand β4 of one subunit and β5* of the adjacent subunit, effectively extending the β-sheet across the entire toroid; these enthalpically favourable interatomic contacts likely facilitate self-assembly of the hexamer. (Unless otherwise stated, asterisks denote an adjacent Hfq subunit, be it related by crystallographic symmetry or otherwise.) Residues 1→68 of the native Aae Hfq sequence could be readily built into electron density maps for each monomer in the ASU, thus providing a structure of Hfq’s N-terminal region as well as the entire Sm domain; note that the N-terminal tail, illustrated for the apo/P1 structure in Fig 5 (bottom-right) and Fig 6b, is unresolved in many Hfq structures. Most of the C-terminal residues 70→80 were not discernible in electron density, and are presumably disordered.
While neither NCS averaging, nor any NCS constraints or restraints, were applied at any point in the phasing and refinement of Aae Hfq in the apo form, the 12 monomers in the P1 cell are virtually indistinguishable from one another (Fig 6a,b, Supp Fig S3), at least at the level of protein backbone structure (there are side-chain variations). The mean pairwise main-chain RMSD, for all monomer pairs in the P1 cell, lies below 0.3 Å; this low value is also evident in the magnitude of the ordinate scale of the structural clustering dendrogram in Supp Fig S3c. To systematically compare structures, a matrix of RMSDs was constructed from all pairwise subunit alignments. Agglomerative hierarchical clustering on this distance matrix (Supp Fig S3c) reveals that the subunits partition into two low-level (root-level) clusters so as to recapitulate the natural (structural) ordering in the crystal: that is, chains A→F cluster together (as the proximal-exposed, or PE, ring in Fig 5), and likewise chains G→L form a second group (the distal-exposed, or DE, ring). This finding is illustrated in Fig 6c, which conveys the degree of 3D structural similarity as a circular graph wherein an edge between two chains is inversely scaled by their RMSD.
At the Aae Hfq monomer level, the greatest structural variation occurs among the N-termini and the L4 loop region between β3→β4; apart from the termini, loop L4 (Fig 6b) is the most variable region in most known protein structures from the Sm superfamily. The conformational heterogeneity in the termini and loops of Aae Hfq stems, at least partly, from differing patterns of interatomic contacts for different subunits, at the levels of monomers, hexamers and dodecamers in the overall P1 lattice. The patterns of conformational heterogeneity are clear when the dodecameric structure is visualized as a cartoon, with the diameter of the backbone tube scaled by the magnitude of per-atom Beq values (this derived quantity, computed from the trace of the full anisotropic ADP tensor, is taken as an estimate of the true Biso values that would result from refinement of an isotropic model); such renditions are shown in Supp Figs S4a and S4b for the P1 and P6 structures, respectively. Analogously, Supp Figs S4c and S4d provide thermal ellipsoid representations of the patterns of variation in anisotropic ADPs across the dodecamer and monomer. In both sets of depictions, Figs S4a/b and S4c/d, colours are graded by the magnitude of per-atom Beq values, from low (blue) to medium (white) to high (red). To initially assess the relative contributions of static disorder (e.g., variation in rotameric states across subunits) and dynamic disorder (e.g., harmonic breathing modes and other collective/global motions) in variable regions such as loop L4 and the termini, a normal mode analysis was performed on a coarse-grained representation of the Aae Hfq structures, using an anisotropic network model of residue interactions (see Methods). Illustrative results for the dodecamer and monomer are shown in Supp Figs S4e and S4f, respectively. The pattern of normal mode displacements for both the dodecamer and monomer do not implicate loop L4 in any especially high-amplitude, low-frequency modes (Supp Fig S4f), suggesting that L4’s increased ADPs (elevated Beq values) stem more from static disorder rather than any particular dynamical process involving this loop region (though anharmonic dynamics remains possible). The dodecamer calculation does reveal a significant harmonic mode corresponding to anti-symmetric rotation of the two Hfq rings with respect to one another (PE , DE ; Supp Figs S4e). This result is consistent with our observation that the only large-scale (do-decamer-scale) structural difference between the two rings is a slight rotation of one relative to the other, versus, for instance, a rigid-body tilt (Fig 5, Supp Fig S6a).
At the Hfq ring and supra-ring levels, the refined P1 structure reveals an Aae Hfq dodecamer consisting of two hexameric rings stacked in a head-to-tail orientation (Fig 5). Propagated across the lattice, this arrangement gives cylindrical tubes with a defined polarity. The tubes run along the crystallographic axis, and their lateral packing yields near–six-fold symmetry along this direction; a slight translational shift of the dodecamers in adjacent unit cells, in the plane perpendicular to , causes the rings to be slightly offset with respect to the lattice tubes (the tubes are not perfectly cylindrical, insofar as the 6-fold axis of an individual Hfq ring is not coaxial with the principal axis of its parent tube). In the dodecamer, the distal face of one Hfq ring is exposed (termed the DE ring), while the other ring features a proximal-exposed face (the PE ring, Fig 5, right). The N-termini of the DE hexamer contact the L2-loop/β2-strand region of the PE ring, as illustrated in Fig 5 (the L2 loops mark the beginning of strand β2; see the label in Fig 6a). As apparent in the axial view of Fig 5 (left), one ring is slightly rotated relative to the other. Geometric analysis of this rotation (denoted ‘Δ’ in Fig 6a), as well as other rigid-body transformations relating the two rings (Supp Fig S3a, b), shows that the 6-fold symmetry axes of the rings in the dodecamer are not perfectly parallel—a slight tilt occurs between the rings (‘δ’ in Fig 6a). This tilt appears to stem largely from structural differences in the N-terminal regions (Supp Fig S3). Consistent with this observation, the set of six N-terminal regions of the DE ring (which mediate ring⋯ring interactions within a dodecamer) exhibit higher Beq values and greater conformational variability than do the N-termini of the PE ring (which mediate do-decamer⋯dodecamer contacts between unit cells), as can be seen in Supp Fig S4a.
Noncovalent molecular interactions between the proximal⋯distal faces mediate the association of Hfq rings into a dodecamer, and a slightly altered (translationally shifted) version of these same energetically favourable interactions stiches together the dodecamers into a set of crystal lattice contacts in the P1 form of Aae Hfq. Notably, a proximal→distal stacking geometry is the chief mode of ring association in the Aae P6 lattice too. Aae Hfq dodecamers clearly occur in the P1 lattice, with a substantial amount of buried surface area (BSA) defining the PE•DE ring interface (Fig 5). Specifically, 3663 ± 244 Å2 of SASA is occluded between the PE and DE hexamers. Note that this quantity is being reported as BSA = ASAPE + ASADE − ASAPE•DE, where ASAi is the ASA of species i, rather than as the per-subunit value (which would be given by half of the above expression, and which would assume perfect 2-fold symmetry of the interface); also, note that this mean ± standard deviation is reported from the results of five different surface area approaches, as mentioned in the Methods.
3.4. Crystal structure of Aae Hfq bound to U6 RNA
Upon co-crystallization with U6 RNA a second, distinct Aae Hfq crystal form could be indexed in P6, with unit cell dimensions of a = b = 66.19 Å, c = 34.21 Å. In this form, the cell geometry, solvent content and molecular mass of Aae Hfq are only compatible with a single Hfq monomer/ASU, and the crystallographic 6-fold was presumed to generate intact hexamers such as shown in Fig 7a. Specifically, co-crystallization of Aae Hfq with this model uridine-rich RNA was achieved by incubating purified Hfq samples with 500 µM U6 RNA prior to crystallization trials. The complex crystallized in 0.1 M sodium cacodylate, 5% w/v PEG 8000 and 40% v/v MPD, and the denaturant compound Gnd was found to be an effective additive (Supp Table S2). The crystal structure of the Aae Hfq•U6 RNA complex was refined to 1.50 Å resolution (Fig 7); we emphasize that the initial solution of this structure was achieved independently from the apo P1 form, via molecular replacement, using P. aeruginosa Hfq as a search model.
The residues that are crucial in forming the proximal (U-rich) RNA–binding pocket in E. coli and other Hfq homologs (Q8, F42, K56, H57) are conserved in the Aae Hfq sequence (Fig 1), which led us to anticipate that any bound U6 would be localized to the proximal pore region. Instead, a molecule of the MPD cryo-protectant was found to occupy the proximal site of the Hfq hexamer, with the MPD hydroxyl groups hydrogen-bonded to the sidechains of Aae’s H56 and *Q6 residues (Fig 7c); in addition, the MPD makes van der Waals contact with other conserved residues that line the proximal site (*L39, F40). During refinement of this structure, two nucleotides of the U6 RNA molecule, including the flanking 5′ and 3′ phosphates (the latter coming from the third U), were readily discernible in mFo − DFc difference electron density maps (Fig S5). Notably, processing and reduction of the diffraction data from the P6 form in P1 yielded similar electron density for the RNA at each lateral binding pocket in the hexamer (Fig S5). Rather than being bound at the proximal site, the uridine residues of U6 were found in a cleft formed between the N-terminal α-helix and strand β2, in a position located roughly near the outer rim of the Aae Hfq toroid (Fig 7a).
3.5. RNA binding at the outer rim of the Aae Hfq hexamer: Structural details
The Aae Hfq•U6 structure reveals a lateral binding pocket that accommodates two nucleotides of uridine. The N-terminal α-helix primarily contacts the phosphodiester and ribose groups, and the β2 strand interacts mostly with the uracil bases (Figs 7a, 7b, 8a). As a consequence of this RNA-binding geometry, both nucleotides that were fully built into electron density (U1, U2) are held in a bridging, anti-conformation (χ = −165.2° for U1, −116.8° for U2), with the ribose moieties extending outward from the pocket (Fig 7b). Interestingly, while the U1 ribose is in the 3′-endo conformation typically seen in canonical (A-form) RNA structures, with a pseudo-rotation phase angle (P) of 17.5º for this South pucker, the U2 sugar adopts a less typical 2′-endo conformation (P = 163.2º).
Protein⋯RNA interactions are mediated by both side-chain and backbone atoms of Aae Hfq. The full set of interactions is shown in 3D in Fig 7a, b, and schematically in Fig 8a. Two side-chains in Aae’s N-terminal α-helix, N11 and R14, contact the phosphodiester groups (denoted ‘Ⓟ’ for brevity), and another cationic residue (K15) is 3.6 Å from the Ⓟ between the two uridines. Backbone and side-chains atoms from strand β2 hydrogen-bond with the bases, ensuring uridine specificity (Figs 7b, 8, 9). In particular, both the carbonyl oxygen and amide nitrogen of F37 interact with N3 and O4 of U2, respectively, while the hydroxyl side-chain of S36 contacts the exocyclic O4 of U1. S36 also helps position a pivotal H2O that directly hydrogen-bonds to both the N3 atom of U1 and the S36 hydroxyl (Fig 8a); this well-ordered (ice-like) water molecule engages in a network of hydrogen-bonds, in a distorted tetrahedral geometry (additional structural waters also contact the uracil and Ⓟ moieties, as shown in Fig 8). Other interactions at the lateral site include a series of three π-stacking interactions (Fig 8a): between the phenyl ring of F37⋯U2, the U1⋯U2 bases, and the phenolic ring of *Y3⋯U1. RNA-binding at the lateral site is composite in nature, involving not just residues of strand β2 and helix α1 of one subunit, but also the N-terminal tail of an adjacent subunit in the ring. The irregularly structured N-terminal tail of one Hfq monomer extends into the neighbouring lateral site, where the N-terminal sequence H0M1P2Y3K4 nearly ‘covers’ that rim site and supplies additional contacts with RNA. For instance, *Y3 engages in the π-stacking mentioned above, as well as a hydrogen-bond between its amide nitrogen and the O2 of U1 (an interaction that does not select between uracil and cytidine). Also in this region, the backbone carbonyl oxygen of *M1 hydrogen-bonds to the ribose O2′ of U1, thus contributing to discrimination between RNA and DNA. Finally, we note that two contacts in this region may be spurious: (i) the *H0⋯Ⓟ interaction, where residue *H0 is from the recombinant construct (not wild-type Aae Hfq; see numbering in Supp Fig S1); and (ii) the R29′⋯Ⓟ interaction, which is a crystal lattice contact (the prime symbol on R29′ indicates an adjacent unit cell).
Comparison of the Aae Hfq•U6 structure with the independently-refined apo Aae Hfq structure suggests that the lateral RNA-binding site is essentially pre-structured for RNA complexation (Fig 9). In terms of comparative structural analysis, note that the apo/P1 and RNA-bound/P6 structures are at equally high resolutions (1.49, 1.50 Å respectively; Table 1), were refined in similar manners (e.g., using anisotropic ADPs), and are of comparable quality in terms of Rwork/Rfree, stereochemical descriptors, etc. (Table 2). Residues N11, R14, S36 and F37, which are phylogenetically conserved to varying degrees (Fig 1), largely define the structural and chemical topography of the lateral site (Fig 7a). As shown in Fig 9, these crucial residues adopt nearly identical rotameric states in the apo and U6–bound forms of Aae Hfq. The two principal RNA-related structural differences, in going from the apo to the U6–bound forms, are: (i) a shift in the residue E7 rotamer (Fig 9, red label), positioning this side-chain away from the pocket and thus enabling the U2 base to be accommodated, and (ii) the precise path of the N-terminal tail (i.e., the ≈5 residues preceding helix α1), which varies with respect to the lateral site. In the dodecameric apo structure, six of the N-termini mediate ring⋯ring contacts (Fig 5) while the other half mediate lattice contacts, giving rise to one source of structural heterogeneity in this region. In terms of intrinsic flexibility, normal mode calculations (Supp Fig S4 and Methods) indicate that the N-terminal regions in the hexamer are highly flexible when free in solution, but rigidified (as much as any other part of the Sm fold) when sandwiched between the Hfq rings.
4. Discussion
The apo form of Aae Hfq crystals, refined to 1.49 Å in space-group P1, reveals a dodecamer comprised of two hexamers in a head-to-tail orientation. The individual subunits of Aae Hfq are similar in structure, with a mean pairwise RMSD less than ≈ 0.3 Å for all monomer backbone atoms. The largest differences among the 13 independently-refined Hfq monomer structures (12 in P1, one in P6) occur in the N-terminal and L4 loop regions; notably, these are the two regions that mediate much of the interface between rings (distal⋯proximal face contacts in Fig 5), as well as the intermolecular contacts between dodecamers across the lattice. The patterns of structural differences are also captured in the symmetric matrix of pairwise RMSDs between chains: hierarchical clustering on this distance matrix results in the monomers that comprise the PE (chains A–F) and DE (chains G–L) hexameric rings partitioning into two distinct groups (Fig 6c, Supp Fig S3c).
Sm proteins, including Hfq, exhibit a strong propensity to self-assemble into cyclic oligomers that then crystallize as either (i) cylindrical tubes with a defined polarity, via head→tail stacking of rings (Aae Hfq and Mth SmAP1 are two examples), or (ii) head↔head oligomers, often with dihedral point-group symmetry (Pae SmAP1 is an example (Mura, Kozhukhovsky, et al., 2003)). An examination of the lattice packing of all known Hfq structures (data not shown) reveals at least one example of each possible ring-stacking mode for a dodecameric assembly: (i) a proximal•proximal interface, as seen in the extensive interface between hexamers of an Hfq orthologue from the cyanobacterium Synechocystis sp. PCC6803 (PDB ID 3HFO; (Bøggild et al., 2009)); (ii) a distal•distal interface, observed in S. aureus Hfq (PDB ID 1KQ2; (Schumacher et al., 2002)) and in P. aeruginosa Hfq, with a more modest interface and relative translational shift of one ring (PDB ID 4MMK; (Murina et al., 2014)); and (iii) the head→tail packing of two rings in a L. monocytogenes (Lmo) Hfq structure, in apo and RNA-bound forms (PDB ID 4NL2; (Kovach et al., 2014)). The Aae head→tail interface (Fig 5) is tighter than that between the Lmo Hfq rings, but otherwise the stacking in these two Hfq structures resemble one another even in fine geometric details (e.g., the top/bottom, PE/DE, rings are similarly rotated with respect to one another). Also, the S. aureus distal•distal dodecamer buries 2666 Å2 of surface area, which is considerably less than the ≈ 3700 Å2 of ΔSASA determined here for Aae Hfq’s distal•proximal stacking mode.
As a point of reference, note that the above ΔSASA quantities represent less buried surface area than in the ring•ring interfaces found in the structures of various Sm and SmAP homologs. (Recall that Hfq rings are hexameric while SmAPs are generally heptameric, meaning that there likely will be a systematic difference in ΔSASA trends simply by virtue of subunit stoichiometry.) The ring•ring interfaces in P. aerophilum and M. thermautotrophicum 14-mers occlude 7550 and 3000 Å2, respectively. Unlike P. aerophilum SmAP3, where the burial of >21,000 Å2 along an intricate interface between stacked rings suggests bona fide higher-order oligomers (Mura, Phillips, et al., 2003), the extent of the Aae Hfq distal•proximal interface does not as clearly indicate whether or not dodecamers exist. The free energy of association between Aae Hfq’s PE•DE rings, , can be estimated via the linear relationship (the slope, γ, is often taken as ≈ 20-30 cal∙mol-1∙Å-2 (Janin et al., 2008)); however, Aae Hfq’s PE•DE interface is not primarily apolar in character, so this approach may severely overestimate the . Also, in terms of the existence and potential relevance of higher-order states, recall that Aae Hfq can form dodecamers in vitro, at least when bound to an A– rich RNA and assayed by AnSEC (Fig 3b, blue arrow). Nevertheless, despite all these observations, (i) whether or not Hfq dodecamers actually occur in vivo, beyond crystalline and in vitro milieus (such as in AnSEC experiments) remains unclear, and (ii) even if such dodecamers do exist, the potential physiological activities and functional roles of higher-order oligomeric states of Hfq remains murky.
Intriguingly, our solution-state AnSEC data are consistent with the binding of A18, presumably at the distal face of (Hfq)6, causing a shift in the distribution of Aae Hfq oligomeric states from hexamers (only) to a more dodecameric population (Fig 3). This effect may be attributed to the longer A18 strand simultaneously binding to two Hfq rings, giving a ‘bridged’ ternary complex. There also appears to be some length-dependence to the interaction of A-rich RNAs with Hfq, as we found that A6 did not exhibit high-affinity binding to Aae Hfq; this dependence may stem from mechanistic differences in the early (initiation) stages of the kinetic mechanism for Hfq⋯RNA binding. Aae Hfq demonstrates a nanomolar affinity for A18 and U6 RNA that is selective (C6 does not bind) and that is consistent with the properties of Hfq homologs characterized from other bacteria, both Gram-negative (e.g., proteobacteria such as E. coli) and Gram-positive. For instance, the magnesium–dependence of the Aae Hfq•U6 interaction (Fig 4), with 10-fold stronger binding in the presence of Mg2+, mirrors the Mg2+-dependency of U-rich–binding by Hfq homologs from the pathogenic, Gram-positive bacterium Listeria monocytogenes (Lmo) and the Gram-negative E. coli (Eco; (Kovach et al., 2014)). For both Lmo and Eco Hfq, the inclusion of 10 mM magnesium increased the U6-binding affinity by >100-fold; the effect was similar, but less pronounced, for U16 (≈ 3-4–fold increase). Thus, the Mg2+-dependency of the Aae Hfq•U6 RNA interaction is intermediate between these two extremes.
At present, only two other known Hfq structures contain a nucleic acid bound to the lateral site. These structures are: (i) Pae Hfq co-crystallized with the nucleotide uridine–5′–triphosphate (UTP; PDB ID 4JTX; (Murina et al., 2013)) and (ii) Eco Hfq bound to a full-length sRNA known as RydC (PDB ID 4V2S; (Dimastrogiovanni et al., 2014)). Comparison of the lateral RNA-binding sites of the Aae, Pae and Eco Hfq structures reveals a highly conserved pocket formed by N13, R16, R17, S38 and F39 (Eco numbering; see also Fig 1). In Aae Hfq, K15 appears to be homologous to Eco R16, insofar as this side-chain is well-positioned to engage in electrostatic and hydrogen bond interactions with an the sugar-phosphate backbone of a bound RNA (Figs 7b, 8, 9). This structural feature can be seen both in Eco Hfq (R17 with the phosphate of a neighbouring nucleotide) and in Pae Hfq (K17 with the 5′ phosphate tail of UTP). Notably, uridine is the only nucleotide that has been found to bind at the lateral site in all three of these Hfq structures—Eco, Pae, and now Aae.
At a resolution of 1.5 Å, the Aae Hfq•U6 structure offers new insights into the apparent specificity of the lateral pocket for uridine nucleosides. We see that interactions with the backbone of strand β2 provide discrimination between uridine and cytidine bases in the cognate RNA. One uracil base πstacks with a key phenylalanine residue, while the second uracil stacks atop the preceding nucleobase. The second nucleotide adopts a C2′-endo conformation, leading to accommodation of the base in the binding pocket on Hfq’s surface. In this configuration, the N-terminal region may then provide further enthalpically favorable interactions that stabilize the complex. The Aae Hfq lateral site includes two of the three arginine residues of the ‘arginine patch’, known to be important for annealing of sRNAs and mRNAs (Panja et al., 2013). We propose that the third arginine of this motif acts primarily electrostatically—without directionality, and non-specifically as regards RNA sequence—in order to enhance the diffusional association of an RNA by ‘guiding’ it towards the lateral pocket. In addition, the physicochemical basis for the phylogenetic conservation of the lateral site may be that it simply provides additional surface area for Hfq⋯sRNA interactions, perhaps supplying an extended platform for the ‘cycling’ of RNAs across the surface of the Hfq ring (Wagner, 2013); similarly, the rim site may serve as an additional ‘anchor’ for the association of moderate-length, U-rich RNAs that bind with low intrinsic affinity for the proximal site, but which can reach the lateral/rim site. We propose that the lateral site, which is structurally well-defined on the outer rim of the Aae Hfq hexamer, is a biologically relevant region that functions in binding (U)n segments of RNA containing at least two consecutive uridine nucleotides; moreover, we propose that this RNA-binding region is conserved in even the most ancient bacterial lineages.
The structural features of Hfq⋯RNA interactions in homologs from evolutionarily ancient bacteria share some similarity with the properties of Sm-like archaeal proteins (SmAPs), such as a SmAP from the hyperthermophile Pyrococcus abyssi (Pab) that was co-crystallized with U7 RNA (Thore et al., 2003). Interestingly, the oligoribonucleotide in that crystal structure was found in two sites: the canonical U-rich–binding site near the lumen of the ring (analogous to Hfq’s proximal site), as well as a ‘secondary’ pocket on the same (proximal) face. This secondary site of Pab SmAP is distant from the U–binding site, lying between the N-terminal α-helix and strand β2 of the Sm fold. Note that the ‘lateral site’ of Hfq had not yet been discovered as an RNA interaction region at the time of the Pab structure determination. The secondary RNA-binding site in Pab SmAP also contains a phenylalanine residue that is conserved among Hfq homologs and that is required for π-stacking with the nucleobase. However, the asparagine residue found at the lateral site of all characterized Hfq homologs is instead a histidine in Pab SmAP; this residue’s imidazole side-chain provides an additional stacking platform for an adjacent ribonucleotide in the Pab complex, in an interaction that is unseen with known Hfq homologs. The α-helix of Pab SmAP does not extend as far as that of Hfq, and the arginine-rich patch that occurs at this rim area in Hfq homologs is but a single lysine residue in Pab SmAP. Nevertheless, the presence of this partially conserved lateral pocket in Pab SmAP does suggest an ancient, common origin for this mode of protein⋯RNA recognition by Hfq and other members of the Sm superfamily. Somewhat similarly, a uridine-binding site was crystallographically identified in Pyrobaculum aerophilum SmAP1, in a region on the ‘L3 face’ (analogous to Hfq’s proximal face) that lies distal to the canonical U–rich RNA-binding site at the inner surface of the pore; this L3-face region was described as a ‘secondary’ binding site because of relatively weak electron density (Mura, Kozhukhovsky, et al., 2003). We can now see that the secondary U-rich–binding sites in at least two archaeal Sm proteins, from Pab and P. aerophilum, occupy a region that is roughly analogous to the lateral rim of Hfq.
The historical lack of structural data on RNA-binding at the Hfq lateral site may be because uridine-rich RNAs—such as might localize to the lateral rim—are also capable of binding to the higher-affinity proximal site. A single binding event is consistent with the idealized shape of our Aae Hfq•U6 binding curves (Fig 4a), which bear no hint of multiple transitions or non-two-state binding. This could indicate that U6 binding at the proximal and distal sites differs by at least an order of magnitude (beyond the detection range of our assay). For the Aae Hfq•U6 complex reported here, we suspect that two facets of our crystallization efforts serendipitously shifted the RNA–binding propensity towards the lateral site. First, MPD was present at high concentrations in our crystallization condition (many Hfq homologs reported in the literature were crystallized with PEGs, not MPD). MPD is a commonly-used precipitating agent and cryoprotectant, and inspection of electron density maps reveals it to be associated with all 12 subunits of the apo form of Aae Hfq; specifically, 24 of the 25 MPDs found in the P1 electron density are bound in one of two locations (Fig 5), one of these being the proximal RNA-binding site. Moreover, an MPD molecule was also bound in the P6 (U6-bound) crystal forms, in clear density at the proximal site (Fig 7). In terms of structural and chemical properties, the hydroxyl groups of MPD closely mimic the ribose and uracil moieties of uridine, as shown in Supp Fig S6. Residues H56 and Q8 have been identified as two key residues in the proximal site that contact the ribose 2′-OH and uracil’s exocyclic O2 atom upon binding of U6 at the proximal site (Schumacher et al., 2002). However, in our Aae Hfq structure these two residues instead contact MPD (*Q6 and H56 in Fig 7c). The lateral RNA-binding site, however, does not include many contacts to ribose (versus the phosphate and nucleobase groups), and thus MPD would not be expected to compete as strongly against RNA-binding at that site. The second unique feature of Aae Hfq that may increase affinity for U-rich RNA at the lateral site is the flexible N-terminal tail, which folds over the lateral site when nucleic acid is bound, further stabilizing the bound U6 RNA. In our work, the N-terminus includes three plasmid-derived residues that remain after cleavage of a His6× tag used in protein purification (G−2S−1H0; Supp Fig S1a). The additional histidine contacts the phosphate of nucleotide U2 (Figs 7b, 8). In addition, the native sequence includes a tyrosine residue that provides further aromatic stacking interactions with base U1 (residue *Y3 in Figs 7b, 8). This tyrosine residue is not conserved among other Hfq homologs, many of which contain a glutamate at this position (Fig 1).
The crystallographic and biochemical work reported here reveals that the putative Hfq homolog encoded in the A. aeolicus genome is an authentic Hfq, as it (i) adopts the Sm fold, (ii) self-assembles into hexameric rings that can associate into higher-order double rings in the lattice (as do many known Hfqs), and (iii) binds A/U-rich RNAs with high affinity (and selectivity). Perhaps most exciting, these structural and functional properties are recapitulated by an Hfq homolog from the Aquificae phylum, which may be the most basal, deeply-branching lineage in the Bacterial domain of life (Bocchetta et al., 2000, Burggraf et al., 1992). To date, all Hfq structures have been limited to three phyla: (i) most Hfq structures are from the Proteobacteria, (ii) a few are from the (mostly Gram-positive) Firmicutes and, finally, (iii) two known homologs are of Cyanobacterial origin. Because of its basal phylogenetic position, the Aae Hfq structures reported here—the first Hfq structures from outside these three bacterial lineages—suggest that members of the Sm/Hfq superfamily of RNA– associated proteins, along with at least some of their RNA–binding properties, likely existed in the last common ancestor of the Bacteria.
Acknowledgements
We thank H. Huber (Regensburg) for providing a sample of A. aeolicus genomic material; J. Bushweller (UVa) for access to a fluorescence plate reader; J. Shannon (UVa) for assistance with MALDI-TOF instrumentation; D. Cascio and M. Sawaya (UCLA) for crystallographic advice; and L. Columbus (UVa) and C. McAnany (UVa) for helpful discussions. Beamlines NE-CAT 24-ID-C/E at Argonne National Lab’s Advanced Photon Source are DOE facilities (DE-AC0206CH11357), with NIH funding for general operations (GM103403) and for the Pilatus detector (RR029205). This work was funded by the Jeffress Memorial Trust (J-971), NIH training grant T32GM080186 (P.S.R.) and NSF CAREER award MCB–1350957.