research papers
Conformational dynamics of the essential sensor histidine kinase WalK
aState Key Laboratory for Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiang'an, Xiamen 361102, People's Republic of China, and bDepartment of Physics, Xiamen University, Xiang'an, Xiamen 361102, People's Republic of China
*Correspondence e-mail: jianweishuai@xmu.edu.cn, ahan@xmu.edu.cn
Two-component systems (TCSs) are key elements in bacterial signal transduction in response to environmental stresses. TCSs generally consist of sensor histidine kinases (SKs) and their cognate response regulators (RRs). Many SKs exhibit autokinase, phosphoryltransferase and phosphatase activities, which regulate RR activity through a Lactobacillus plantarum that shares 60% sequence identity with its homologue VicK from Streptococcus mutans, are presented. WalK adopts an asymmetrical closed structure in the presence of ATP or ADP, in which one of the CA domains is positioned close to the DHp domain, thus leading both the β- and γ-phosphates of ATP/ADP to form hydrogen bonds to the ∊- but not the δ-nitrogen of the phosphorylatable histidine in the DHp domain. In addition, the DHp domain in the ATP/ADP-bound state has a 25.7° asymmetrical helical bending coordinated with the repositioning of the CA domain; these processes are mutually exclusive and alternate in response to helicity changes that are possibly regulated by upstream signals. In the absence of ATP or ADP, however, WalK adopts a completely symmetric open structure with its DHp domain centred between two outward-reaching CA domains. In summary, these structures of WalK reveal the intrinsic dynamic properties of an SK structure as a molecular basis for multifunctionality.
and dephosphorylation cycle. However, how SKs perform different enzymatic activities is poorly understood. Here, several crystal structures of the minimal catalytic region of WalK, an essential SK fromKeywords: sensor histidine kinase; two-component systems; bacterial signal transduction; helical bending; WalK.
1. Introduction
Two-component systems (TCSs) are major signal transduction pathways in bacteria and archaea that play a role in the adaptive response to environmental stresses (Stock et al., 1989; Mascher et al., 2006; Krell et al., 2010). A typical TCS is composed of a sensor histidine kinase (SK) and a cognate response regulator (RR), which are encoded by genes that are often clustered in the genome. While the majority of SKs have multiple domains, all SKs have an invariable core region (∼250 amino acids) consisting of two domains: a dimerization and histidine domain (DHp) and a catalytic ATP-binding domain (CA). Some SKs are able to perform their as full-length SKs in vitro in the absence of all other sensor domains (Gutu et al., 2010).
Many SKs are multifunctional enzymes (Stock et al., 2000). Modulated by stimulating signals, an SK first performs an autokinase activity and phosphorylates a conserved histidine in its DHp domain. The activated SK then performs a phosphoryltransferase activity to its cognate RR. The phosphorylated RR oligomerizes to activate a variety of cellular functions, one of which is to reprogram prokaryotic cells through transcriptional regulation (Gao & Stock, 2009). The same SK is often able to dephosphorylate and inactivate the RR.
The current structures of SKs indicate that they may undergo global conformational changes. The structure of the SK HK853 from Thermotoga maritima indicates that the DHp domain is sandwiched symmetrically by two CA domains (Marina et al., 2005). Similarly, the symmetric structures of SKs in Bacillus subtilis Spo0B–Spo0F and T. maritima ThkA–TrrA complexes have been proposed to represent a phosphoryltransferase state (Varughese et al., 2006; Yamada et al., 2009). The CA domains fold close to the DHp domain in the structure of HK853 complexed with its cognate RR468, thus resulting in a distance of approximately 10 Å between the ADP β-phosphorus (βP) and the ∊-nitrogen (∊N) of the phosphorylatable histidine, which in HK853 is interpreted as a phosphatase state (Casino et al., 2009). Recent structural characterizations of a thermosensor SK, DesK, strongly supports these observations (Trajtenberg et al., 2016). However, direct connections between these conformations to its specific enzymatic activities still remain uncertain.
In addition to the mobile CA domain, helical bending of the DHp domain has been observed. The crystal structures of DesK indicate that there is a pronounced helical bending in its DHp domain while its CA domain is located in different positions relative to the DHp domain (Albanesi et al., 2009). Our previous of the entire cytoplasmic region of Streptococcus mutans VicK also reveals that the asymmetrical positioning of the CA domains is coordinated with a helical bending of the DHp domain (Wang et al., 2013). Consistently, a DHp domain from the Escherichia coli SK CpxA shows that an asymmetric helical bending possibly plays a role in a conformational switch between phosphatase and phosphoryltransferase (Mechaly et al., 2014). However, the helical bending of the DHp domains of CpxA is not as significant as that observed in VicK.
To further understand the relationship between DHp bending, CA repositioning and ATP binding in autokinase activation, we have used WalK, also known as VicK/YycG, as a model system because of its essentiality in several Gram-positive bacteria, including Bacillus, Streptococcus and Staphylococcus (Wagner et al., 2002; Senadheera et al., 2005; Gutu et al., 2010; Dubrac et al., 2008). We have recently determined a of the entire intracellular domains of VicK from S. mutans (smVicK), but it lacked a clear definition of ATP in its binding pocket (Wang et al., 2013). The structure of the CA domain of B. subtilis WalK (bsWalK) has been solved in the presence of ATP but it lacks a DHP domain (Celikel et al., 2012). Here, we sought to determine the crystal structures of a WalK homologue, lpWalK from Lactobacillus plantarum, which shares 60% sequence identity in the DHp and CA domains to our previous solved smVicK structure, in different conformations in the presence of ATP analogues or ADP. We then compared the binding capability of these with that of AMP. We finally recapitulated the transitions of the DHp domain using computational simulations. Our data suggest that ATP/ADP binding may affect the dynamics of the WalK conformation in the different enzymatic states.
2. Materials and methods
2.1. Protein expression and purification
A gene fragment encoding lpWalK (amino acids 370–624) was amplified by PCR using L. plantarum ATCC 14917 genomic DNA as a template and was ligated into the pET-His expression vector (Mao et al., 2011). The lpWalK fragment was expressed with an N-terminal His tag in Escherichia coli BL21 (DE3) cells induced by 250 µM isopropyl β-D-1-thiogalactopyranoside (IPTG) for 8 h at 25°C. The cells were harvested and resuspended in lysis buffer (50 mM Tris–HCl pH 8.0, 500 mM NaCl, 10% glycerol, 20 mM imidazole, 5 mM β-mercaptoethanol) and lysis was completed by sonication. The supernatant was collected after centrifugation at 40 000g and was incubated for 1 h at 4°C with 1 ml Ni2+–NTA resin (BBI life science) pre-equilibrated with the lysis buffer. After being washed with the lysis buffer, the protein on the beads was eluted with an imidazole gradient of 50–500 mM. The best fractions of the protein eluates were concentrated using a Centricon (Millipore) and loaded onto a Superdex 200 column (GE Healthcare) in a buffer consisting of 20 mM Tris–HCl pH 8.0, 100 mM NaCl, 5 mM β-mercaptoethanol. Peak fractions were collected and concentrated to 15 mg ml−1. Initial screening was set up using sitting-drop vapour diffusion with several commercial crystallization kits. The best protein crystals were found in 50 mM bis-tris pH 5.6, 1.0 M ammonium sulfate, 1% polyethylene glycol 4000. To obtain the ATP-bound state, 4 mM AMPPCP and 4 mM MgCl2 were added to the protein preparation before crystallization. Selenomethionine (SeMet)-labelled WalK was expressed in SeMet-substituted minimal M9 medium and was purified and crystallized as for the native protein (Doublié, 1997).
2.2. and refinement
Crystals were flash-cooled in liquid nitrogen with a cryoprotectant buffer [25%(v/v) glycerol in mother-liquor solution]. Diffraction data sets were collected with a Quantum 315 detector at station BL17U1 at the Shanghai Synchrotron Radiation Facility (SSRF), Shanghai, People's Republic of China (Wang et al., 2015). The data were indexed, processed and scaled with HKL-2000 (Otwinowski & Minor, 1997). The closed lpWalK structures were determined using the molecular-replacement module in Phaser with the CA domain of smVicK as a search model (McCoy et al., 2007). The open lpWalK structure was solved using single-wavelength of selenium with the AutoSol and Phaser programs in PHENIX (Adams et al., 2010). Model building and of these structures were completed using Coot and PHENIX (Emsley & Cowtan, 2004; Adams et al., 2010; Winn et al., 2011). The statistics of data collection and model are summarized in Table 1.
‡Rmerge = , where Ii(hkl) is the observed intensity and 〈I(hkl)〉 is the statistically weighted average intensity of multiple observations of symmetry-related reflections. §I/σ(I) is the ratio of the mean intensity to the mean standard deviation of intensity. ¶Rwork = , where Fobs and Fcalc are the observed and calculated structure factors, respectively. ††Rfree was calculated using a randomly chosen 5% of reflections. |
2.3. Model analysis and graphics
Model analyses were performed using a variety of programs. The helical bending was calculated using DynDom (Taylor et al., 2014). The buried surface areas were calculated in StrucTools (Sanner et al., 1996). Molecular movies were made in VMD and Chimera (Humphrey et al., 1996; Pettersen et al., 2004). The structural alignments, as well as other graphics, were made in PyMOL (Schrödinger) and Coot (Emsley & Cowtan, 2004).
2.4. Molecular dynamics
All MD simulations were performed in an explicit solvent system with constant parameters (NPT; T = 310 K, P = 101 325 Pa) using NAMD 2.8 (Phillips et al., 2005). The force field was set up by CHARMM27/CMAP (MacKerell et al., 1998, 2004). Short-range and nonbonded interactions were calculated using a distance cutoff of 12 Å. The system was neutralized using 200 mM NaCl solvated in an 80 Å3 box, minimized for 1000 steps and simulated with periodic boundary conditions having full particle-mesh Ewald electrostatics. All MD simulations were analyzed by principal component analysis (PCA) in Bio3D (Grant et al., 2006). PCA minimizes the maximal variance of data to fewer dimensions through examining inter-conformer relationships that originate from the Cartesian coordinates of all superimposed structures.
2.5. Isothermal titration calorimetry
Isothermal titration M Tris–HCl pH 8.0, 5 mM MgCl2. The sample cell was filled with 50 µM VicK and titrated with the ligands AMPPNP, ADP or AMP at concentrations that were empirically determined to have the best signal-to-noise ratio. The concentrations of AMPPNP and ADP were set to 3 mM and the concentration of AMP was set to 6 mM. The delay time was 60 s for the first titration of 0.4 µl of ligand. The rest of the titrations were completed with 2 µl of ligand per each injection for 20 intervals of 120 s. The stirring speed was 1000 rev min−1. The reference power was 5 µcal s−1. The data were fitted with a fixed 1:1 binding model in the Microcal Analysis Launcher software package. More than 200 iterations were used to reduce the χ2 until all values remained constant. The final Kd, ΔH and ΔS values after the fitting are displayed on the plot.
experiments were performed using a Malvern MicroCal iTC200 system at 25°C. Here, the lpWalK homologue smVicK was also used because the lpWalK CA domain was not stable. The smVicK gene fragments encoding the DHp/CA domains (amino acids 196–450) and the CA domain (amino acids 271–450) were cloned in the pET-His vector, and the proteins were expressed and purified as described above. All lpWalK and smVicK samples were prepared in the same buffer consisting of 20 m3. Results
3.1. The structure of WalK in the closed state
The catalytic region of lpWalK contains one DHp domain (amino acids 370–450) and one CA domain (amino acids 450–624). To obtain ATP-bound states, we crystallized the lpWalK fragment in the presence of the nonhydrolyzable ATP analogues AMPPCP and AMPPNP. Surprisingly, both structures resemble the smVicK catalytic region (amino aicds 196–450; Fig. 1a and Supplementary Fig. S1a). The γ-phosphate in the lpWalK–AMPPNP complex could not be defined, probably because of hydrolysis. However, the overall structure showed the same conformation as lpWalK co-crystallized with AMPPCP (Supplementary Fig. S1b). Indeed, we also observed the same conformation for lpWalK that was crystallized in the presence of ADP (Table 1 and Supplementary Fig. S1b).
The overall conformations of these nucleotide-bound lpWalK structures represent an asymmetric closed state with one CA domain positioned close to the DHp domain, while the other CA domain reaches out, forming an open conformation (Fig. 1b). The CA and DHp interactions are in cis rather than in trans. Residues Arg558 and Phe559 of the F box form a small interface between the DHp and open CA domains through hydrogen bonds and hydrophobic interactions, as observed in smVicK. These residues, together with the other interacting residues, including Thr573, Leu575, Ile579 and Glu582 from the CA domain and Phe385, Leu439, Leu442, Asp446 and Glu438 from the DHp domain, are highly conserved in WalK homologues. The buried surface area is as small as 682.8 Å2, but this interface appears to be further stabilized by a hydrogen-bond network consisting of Asp446, Arg558 and Glu582, probably as a result of subtle conformational changes in the F and G2 boxes induced by nucleotide binding.
The CA domain in the closed conformation makes a more extensive interface with the DHp domain (Fig. 1c). The conserved residues His391 and Glu392 in α1 form the first hydrogen-bond network with Gln506 and Asn510 in α4. Gln506 interacts with Glu392 through a hydrogen bond that is essential for His391 as has been demonstrated in the chimeric EnvZ (Casino et al., 2014). Residues Glu427/428 and Arg431/434 in α2 form the second hydrogen-bond network with Tyr465 and Arg469 in α3 and Asp502/509 in α4. Consistently, mutation of these residues in smVicK (Asp326/Gln330) significantly disrupts the autokinase activity (Wang et al., 2013). Arg558 of the F-box also contributes to this interface through a hydrogen bond to Asn388 in the DHp domain. Several residues, including Thr398, Tyr403 and Ala406 in α1 and Met472, Ile473 and the aliphatic side chain of Lys476 in α3, form a small hydrophobic interface (Supplementary Fig. S2a). These key residues in the closed DHp and CA interface are largely conserved between lpWalK and smVicK (Fig. 1d). Although Glu427 in lpWalK is substituted by Asp252 in smVicK, the hydrogen bond formed by the side chain to Tyr465 is preserved. Similarly, Met472 inlpWalK is substituted by Gln297 in smVicK, but the formed between their side chains and Tyr403 is also preserved. Interestingly, the interaction between Lys476 and Ala406 in lpWalK is not found in smVicK as Lys476 is substituted by Gln301. Together, our data indicate that WalK adopts a closed structure in the presence of ATP analogues or ADP, which is characterized by the asymmetric positioning of the two CA domains; only one monomer of the dimer switches to a closed conformation while the other one remains open. The structures of the two CA domains are nearly identical (r.m.s.d. of 0.36–0.54 Å for 120 Cα atoms), except for a 15.3° rotation of α3 toward to the DHp domain in addition to the flexible loops L3 and L5 and the G1 box (Supplementary Fig. S2b). The rotation of α3 avoids stereo clashes with the DHp domain when forming the closed conformation.
3.2. Nucleotide-binding pocket and histidine
In the closed lpWalK state, the ATP/ADP ligands are clearly defined (Figs. 2a, 2b and 2c). The adenine plane of ADP is sandwiched by Tyr518 from the N box on one side and by Ile547 from the G1 box and Phe603 from β7 on the other, and is further fixed by a hydrogen bond between Asp542 and the amine at adenine C6. The ribose plane is orientated by two hydrogen bonds from the 2′ and 3′ hydroxyl groups to Tyr518 of the N box and Arg566 between the F and G2 boxes (Fig. 2d).
The ATP phosphates are also involved in extensive interactions with lpWalK (Fig. 2d). The α-phosphate (αP) forms hydrogen bonds to the amine of Asn514 and the main chain of residues 574–577 from the G2 box. The β-phosphate (βP) forms hydrogen bonds to Gly572 and Thr573 from the G2 box. Lys517 and Asn513 from α4 can both connect to the γ-phosphate (γP) through hydrogen bonds, while Lys517 and Tyr518 both form hydrogen bonds to βP in ADP-bound lpWalK (Fig. d), consistent with our previous finding that the mutation of homologous residues in VicK (Lys341A/Tyr342A) clearly reduces the autokinase activity (Wang et al., 2013). Remarkably, His391 ∊N makes two hydrogen bonds to both the βP and γP of AMPPCP (Fig. 2e). A tight hydrogen-bond network can be postulated between His391 ∊N and ATP γP, as indicated by alignment of the closed lpWalK state with the bsWalK CA structure bound by ATP (Fig. 2f). In the open conformation, however, these interaction partners are approximately 15–17 Å away, whereas His391 has two rotameric conformations that are fixed through its interaction with AMPPCP or ADP in the closed conformations (Fig. 2c). Together, our results suggest that ATP/ADP makes extensive interactions with the CA domain as well as with the phosphorylatable histidine in the closed conformation.
A magnesium ion was not identified in the ATP/ADP-binding pocket of the closed lpWalK structures. Our alignment of the closed CA domain with the bsWalK structure, where Mg2+ is present, showed that the structures are nearly identical (r.m.s.d. of 0.69 Å for 112 Cα atoms; Supplementary Fig. S2c). Moreover, both aligned except for the γP positions, which were 3.3 Å apart (Supplementary Fig. S2d). Two coordinations by the hydroxyl groups of βP and γP are lost in our lpWalK structure bound to AMPPCP, which makes lpWalK unable to chelate Mg2+ stably.
We then measured the binding affinities of AMPPNP, ADP and AMP for the WalK proteins lpWalK and smVicK using isothermal titration and Supplementary Fig. S3). The overall binding affinities of these to WalK were in the high-micromolar to millimolar range. ADP and AMP were generally weaker binders than ATP, which was in the Kd range 300–500 µM.
(ITC) experiments (Table 2
|
3.3. The structure of WalK in the open state
We also determined the a). The CA domains reach out, causing the ATP-binding pocket to be positioned further away from the phosphorylatable histidine His391 in the DHp domain; we therefore defined this structure as representing the open state of WalK.
of the catalytic region of lpWalK at 3.2 Å resolution in the absence of ATP/ADP. Unlike the closed lpWalK described above, the overall structure shows that the two CA domains symmetrically centre on the four-helical bundle of the DHp homodimer (Fig. 3The structures of both CA domains are similar to that of its close homologue S. mutans VicK (smVicK; r.m.s.d. of 0.85 Å for 116 Cα atoms; Supplementary Fig. S4a; Wang et al., 2013). It is also similar to that of B. subtilis WalK (bsWalK; r.m.s.d. of 0.83 Å for 107 Cα atoms; Celikel et al., 2012). The major differences were the positional shifts, by up to 4.6 Å, of the loops and α3. Interestingly, the ATP pocket covering the loops is only partially ordered in all three structures, even though the bsWalK structure is bound to ATP. The lpWalK DHp domain forms a symmetric dimer, and the helices are both straight and well aligned with the inactive chain of smVicK (r.m.s.d. of 0.54 Å for all Cα atoms; Fig. 3b).
A small interface is formed between residues Arg558, Phe559, Thr573 and Leu575 of the CA domain and Val389, Glu392, Met435, Leu439 and Asp446 of the DHp domain (Fig. 3c). The key residues in the open DHp and CA interface between lpWalK and smVicK are completely conserved (Fig. 3d). Although Glu438 is substituted by Asp263 in smVicK, the is preserved as both have similar side chains. The buried surface area is barely 689.5 Å2, thus suggesting that this interface is not strong. Moreover, the key residues in the CA domain are located in the lid-covering loop of the ATP-binding pocket, including the F and G2 boxes. Indeed, a global alignment of lpWalK with the open chain of smVicK indicated an ∼4° rotation of the CA domain relative to the DHp (Supplementary Fig. S4b). A dramatic rotation (∼46.1°) of the lpWalK CA domain was observed when it was aligned with T. maritima HK853 in the open state (Supplementary Fig. S4c).
3.4. Asymmetrical helical bending in the DHp domain
The homodimeric DHp domain in the closed lpWalK structure is asymmetric (Fig. 4a). The monomer connecting the open CA domain adopts two straight helices, whereas the other monomer α1 bends towards the dimeric centre. When compared with their positions in open lpWalK, both DHp domains are well aligned except for the bent α1 (r.m.s.d. of 0.37 Å for 97 Cα atoms; Fig. 4b). The bending of the α1 N-terminal tail is 25.7° at Pro396. Coordinately, the closed CA domain has a rotation of 57.7° and 9.1 Å difference along the DHp domain, while the open CA domain is positioned with a 15.8° difference (Fig. 4c and Supplementary Movie S1). The asymmetrical structure of the DHp domain is comparable to that of smVicK, with nearly the same bending angle (r.m.s.d. of 0.78 Å for 59 Cα atoms). In the light of recent structural evidence from the SKs CpxA and DesK (Mechaly et al., 2014; Trajtenberg et al., 2016), the DHp domain with symmetric straight helices and asymmetric helical bending, in coordination with the CA-domain positioning, may represent two distinct conformations of the WalK family.
3.5. The dynamics of the DHp domain
To further understand the dynamics of the asymmetric helical bending in the DHp domain, we performed molecular-dynamics (MD) simulations. We observed that two straight α1 helices of the DHp domain from the open lpWalK were randomly bent by 16.7–26.8° during 50 ns of simulation, indicating that the bending is an intrinsic property of the α1 helices (Supplementary Movie S2). In contrast, the DHp domain from the closed lpWalK structure behaved completely differently (Supplementary Movie S3). The straight α1 helix became bent towards the central axis of the DHp domain, while the bent α1 helix retracted and became straight, thus resulting in switched α1 helical bending at ∼3 ns (Figs. 5a, 5b and 5c). The simulated α1 bending angle was ∼20–22° at Pro396, which was slightly smaller than the actual bending observed in the More importantly, only one α1 in the DHp homodimer could bend, thus supporting the sequential bending hypothesis that we proposed previously (Wang et al., 2013). Principal component analysis (PCA) suggested that such a transition passes through an intermediate state in which both α1 helices bend at small angles (Fig. 5b).
Surprisingly, the DHp domain retained a bent α1 state (Fig. 5c) and could not switch back to a straight conformation during the rest of the 35 ns of simulation. We reasoned that the resultant DHp structure might have unequal lengths of the α1 helices. To test this possibility, we simulated the DHp domain after removing the extra helical region (amino acids 372–383) to make the α1 termini of equal lengths. However, this DHp did not exhibit any switches during 20 ns of simulation (Supplementary Fig. S5). We then shifted the helical region (amino acids 375–383) from the bent α1 to the straightened α1 by using the simulated DHp structure in Fig. 5(c) and continued the simulation under the same conditions. We observed that α1 successfully switched back in 15 ns (Fig. 5d, Supplementary Movie S4). Finally, we tested whether the helical property of the extra helical region was required for this function. We rebuilt the helical region as a random coil during a 40 ns simulation. Although the random coil is positioned freely, the connected α1 did not bend at all (Supplementary Movie S5).
Together, these MD studies revealed that the helical bending of the two α1 N-termini at the kink-residue proline is an intrinsic property of the homodimeric DHp domain, and the length and helicity of the α1 helix determine its helical bending capability. The α1 with a longer N-terminal helix and higher helicity appears to promote a favourable bending towards the central axis of the dimeric DHp domain. Moreover, the two α1 termini exhibit mutually exclusive bending and are able to switch sequentially.
4. Discussion
The ability of one SK to have both et al., 2009; Casino et al., 2014; Mechaly et al., 2014; Trajtenberg et al., 2016). A conformationally dynamic nature has also been implicated by computational simulations (Dago et al., 2012). Here, we report the conformational dynamics of an essential SK, lpWalK, an smVicK homologue from Lactobacillus.
and dephosphorylation enzymatic activities is believed to rely on the flexibility of its conformation, such as that of DesK, HK853 and CpxA, as demonstrated in several structural studies (Albanesi4.1. The closed conformation of WalK with ATP/ADP bound
LpWalK adopts a closed conformation in the presence of ATP analogues and ADP, but not in the presence of AMP in our crystallization condition (Fig. 1). The crystal packing of lpWalK in the closed state was completely different from that in the open state (Table 1). Several thiazolidione WalK inhibitors, which are predicted to bind to the WalK active pocket (Huang et al., 2012), did not induce lpWalK to crystallize under the same conditions as used for the lpWalK fragment. Importantly, selective crystallization of one specific conformation of target molecules often occurs. Indeed, in drops containing Mg2+ and ATP analogues a small portion of lpWalK crystals, which had the same morphology as those without ATP/ADP, were found to still be in the open state (data not shown). In addition, the γP of ATP was visible when lpWalK was co-crystallized with AMPPCP but not AMPPNP. Interestingly, although ATP is chemically unstable, its γP has been observed in several SK structures, including the bsWalK CA domain and CpxA (Celikel et al., 2012; Mechaly et al., 2014).
The closed WalK adopts an asymmetric conformation (Fig. 1). Only one monomer folds into a closed state through an ∼58° rotation, while the other monomer remains open. The closed monomer has an extensive hydrogen-bond network and hydrophobic interactions between the DHp and CA domains (Fig. 1c and Supplementary Fig. S2a). The open monomer of lpWalK has a small interface between the CA and DHp domains, which is also found in the open lpWalK structure (Figs. 1b and 3c). However, it is completely lost in the closed monomer of the closed lpWalK, whereas Arg558 switches its hydrogen bonds from Asp446 in α2 to Asn388 in α1 (Fig. 1). Such a conformational change also cooperates with the unfolding of the C-terminal α2 helix (amino acids 442–447) of the DHp domain, which has been accurately predicted by a co-evolutional analysis using a direct coupling algorithm (DCA; Fig. 4c, Supplementary Movie S1; Dago et al., 2012). Consistently, the corresponding residue Arg382, which is important for autokinase activity in smVicK, also makes a similar switch (Wang et al., 2013).
ATP/ADP fits into the active site of the CA domain through extensive interactions involving the N box and the G1 and G2 loops (Marina et al., 2001; Casino et al., 2014). We have found that ATP/ADP interacts with His391 in the DHp domain through hydrogen bonds in the closed lpWalK (Fig. 2). Asn510, which is one of two signature residues in the N box, may form a hydrogen bond to Glu392 but not to His391 of the DHp domain (Fig. 1). Consistently, the corresponding residue Asn343 in EnvZ makes similar contacts, and mutation of this residue disrupts EnvZ autokinase activity without disrupting its ATP-binding affinity (Hsing et al., 1998; Casino et al., 2014). Another signature residue, Asn514 in the N box, creates two hydrogen bonds to αP in lpWalK (Fig. 2d), whereas in the chimeric EnvZ the corresponding residue Asn347 interacts with an Mg2+ ion (Casino et al., 2014). Intriguingly, smVicK with double Ala mutations of these two Asn residues still has observable autokinase activity (Wang et al., 2013). Instead, Gln506 adjacent to the N box hydrogen-bonds to Glu392 only in the closed lpWalK state (Fig. 1c), and mutation of this residue disrupts the autokinase activity of smVicK (Wang et al., 2013). Consistently, the Gln506–Glu392 contact ranks highest among the pairs identified from the DCA analysis (Dago et al., 2012). Taken together, we propose in lpWalK that Glu392 neighbouring the phosphorylatable His391 acts as a general base, which is further enhanced by two polar residues, Gln506 and Asn510. At the same time, the Mg2+ ion chelated by Asn514 and ATP catalyzes γP breakdown.
4.2. ATP and ADP bind WalK with weak affinity
ATP and ADP bind lpWalK/smVicK with different affinities to AMP (Table 2). ATP is able to bind smVicK or lpWalK at 300–500 µM, which is similar to the binding of CheA but is ∼60-fold weaker than the binding of HK853 (Casino et al., 2014; Tawa & Stewart, 1994; Surette et al., 1996; Stewart et al., 1998). ADP binds to smVicK at 700 µM, which is eightfold weaker than binding of the E. coli PhoQ cytoplasmic region (Yeo et al., 2012). AMP has extremely weak binding abilities. In agreement with these results, a recent report has indicated that ADP rather than AMP is an efficient VicK kinase inhibitor (Wilke et al., 2015). Interestingly, all bind the CA domain better than the entire catalytic region of smVicK, thus suggesting possible of the DHp domain towards the CA active pocket. Similarly, full-length CheA binds ATP with an ∼20-fold weaker affinity than its ATP-binding domain P4 (Bilwes et al., 2001). Unfortunately, because the CA domain of lpWalK was not sufficiently stable in our assay, we were unable to verify this observation in lpWalK.
The competitive binding of ATP/ADP may also be regulated by their local cellular concentrations. The concentration of ATP is 2–10 mM, which is threefold to 30-fold higher than that of ADP in E. coli (Buckstein et al., 2008; Bennett et al., 2009). In contrast, the WalK concentration may be very low in Gram-positive bacteria. For example, there are only 920 VicK molecules (at ∼1.5 µM) in one S. pneumoniae cell (Wayne et al., 2010). Therefore, it is plausible to predict that most WalK is likely to remain in the ATP-bound and not the ADP-bound state (Wang et al., 2012).
4.3. The intrinsic dynamics of DHp may be central to its enzymatic complexities
The DHp domain is intrinsically dynamic. The DHp domain is sandwiched between two CA domains. In the open WalK structure the DHp is completely symmetric, with two straight α1 helices, whereas in the closed WalK state it is asymmetric, as characterized by helical bending in one α1 but not the other (Fig. 4). A series of MD simulations suggested that the DHp domain with equal-length α1 helices from the open WalK structure behaves with a random bending mode in a 50 ns simulation (Supplementary Movie S2). In contrast, the two α1 helices of the DHp domain from the closed WalK structure completed the first bending switch in ∼3 ns (Figs. 5a, 5b and 5c). Continuous simulation made the α1 helix switch back only when α1 contained an extended helix (Fig. 5d). These observations support a helix–coil transitional switch mechanism of the N-terminal α1 helices during autokinase activation (Wang et al., 2012).
The N-terminal α1 helices are also essential for phosphatase activity. The top of the DHp domain containing the α1 helices and the C-terminal α2 regions is very sensitive to mutation because most phosphatase-disruptive mutations are located in these regions (Hsing et al., 1998). However, the hinge residues threonine and proline, but not the valine and serine residues at the top, are important for phosphatase activity (Willett & Kirby, 2012; Wang et al., 2013). However, HisKA_3 family SKs, such as NarX, may have different dynamics from these HisKA SKs because sensitive mutations are located on the bottom of the DHp domains (Huynh et al., 2013).
SK activities are largely modulated by upstream signals in vivo. Some SKs are directly connected to sensor domains and activated by their cognate ligands. A HAMP domain (histidine kinases, adenylate cyclases, methyl accepting proteins and phosphatases) connects a transmembrane domain and allows the transmission of a variety of extracellular stimuli to downstream catalytic activities in many SKs (Dunin-Horkawicz & Lupas, 2010). The Af1503 HAMP domain is able to control the when it is engineered to the output domains of adenylyl cyclase, chemotaxis receptor and EnvZ (Hulko et al., 2006; Ferris et al., 2012). A unique HAMP solution structure has suggested a rotatory potential of its four-helical bundle (Hulko et al., 2006). Surprisingly, its derivatives with mutation of the key residue Ala291 respond differently to amino acids as stimuli, but adopt essentially the same structure (Ferris et al., 2012). One possible explanation is that the upstream domains may directly or indirectly modulate the DHp dynamics in response to stimuli.
In summary, these observations suggest that the four-helical bundle of the DHp domain may have internally coordinated motions, which cooperate with the CA-domain repositioning and produce different conformations of WalK. ATP/ADP binding may modulate the dynamics of the CA domain. The dynamic properties of the DHp domain are likely to be essential for the enzymatic activities of WalK, which are largely modulated by upstream functional domains in response to a variety of stimulatory signals.
Supporting information
Supplementary Movie S1. Conformational transition of lpWalK from the open state to the closed state. The homodimer is coloured in magenta and green. DOI: https://doi.org/10.1107/S2059798317013043/di5014sup2.mov
Supplementary Movie S2. The molecular dynamic simulation of the DHp domain from the open state of lpWalK. The homodimer is coloured in yellow and green. Pro396 as a bending point is highlighted with a red ball. DOI: https://doi.org/10.1107/S2059798317013043/di5014sup3.mov
Supplementary Movie S3. The molecular dynamic simulation of the DHp domain from the closed state of lpWalK. The homodimer is coloured in magenta and green. Pro396 as a bending point is highlighted with a white ball. DOI: https://doi.org/10.1107/S2059798317013043/di5014sup4.mov
Supplementary Movie S4. The molecular dynamic simulation of the engineered DHp domain from the closed state. The colour scheme is the same as Movie S3. A short green helix on the top of magenta monomer is a helical extension switched from its green monomer. DOI: https://doi.org/10.1107/S2059798317013043/di5014sup5.mov
Supplementary Movie S5. The molecular dynamic simulation of the engineered DHp domain from the closed state. The colour scheme is the same as Movie S3. The extended helix of the green monomer was manually rebuilt to be a random coil. DOI: https://doi.org/10.1107/S2059798317013043/di5014sup6.mov
Supplementary Figures and Supplementary Movie captions. DOI: https://doi.org/10.1107/S2059798317013043/di5014sup1.pdf
Footnotes
‡These authors contributed equally to this work.
Acknowledgements
We thank Dr Feng Yu and colleagues at station BL17U1 of the Shanghai Synchrotron Radiation Facility (SSRF), Shanghai for data collection, Dr Jiawei Wang (Tsinghua University) for
Dr Chuanliu Wu (Xiamen University) for the ITC instrument and Dr Hu Chen (Xiamen University) for useful discussions.Funding information
This work was supported by the National Science Foundation of China (31370723 and 31570752 to AH), the National Key Basic Research Program (2013CB910603 to AH) and Project 985 (2011121028 to AH). The funders had no role in the experimental design, data collection and analysis, decision to publish or preparation of the manuscript.
References
Adams, P. D. et al. (2010). Acta Cryst. D66, 213–221. Web of Science CrossRef CAS IUCr Journals Google Scholar
Albanesi, D., Martín, M., Trajtenberg, F., Mansilla, M. C., Haouz, A., Alzari, P. M., de Mendoza, D. & Buschiazzo, A. (2009). Proc. Natl Acad. Sci. USA, 106, 16185–16190. Web of Science CrossRef PubMed CAS Google Scholar
Bennett, B. D., Kimball, E. H., Gao, M., Osterhout, R., Van Dien, S. J. & Rabinowitz, J. D. (2009). Nature Chem. Biol. 5, 593–599. CrossRef CAS Google Scholar
Bilwes, A. M., Quezada, C. M., Croal, L. R., Crane, B. R. & Simon, M. I. (2001). Nature Struct. Biol. 8, 353–360. Web of Science CrossRef PubMed CAS Google Scholar
Buckstein, M. H., He, J. & Rubin, H. (2008). J. Bacteriol. 190, 718–726. CrossRef PubMed CAS Google Scholar
Casino, P., Miguel-Romero, L. & Marina, A. (2014). Nature Commun. 5, 3258. Google Scholar
Casino, P., Rubio, V. & Marina, A. (2009). Cell, 139, 325–336. Web of Science CrossRef PubMed CAS Google Scholar
Celikel, R., Veldore, V. H., Mathews, I., Devine, K. M. & Varughese, K. I. (2012). Acta Cryst. D68, 839–845. CrossRef IUCr Journals Google Scholar
Dago, A. E., Schug, A., Procaccini, A., Hoch, J. A., Weigt, M. & Szurmant, H. (2012). Proc. Natl Acad. Sci. USA, 109, E1733–E1742. CrossRef CAS PubMed Google Scholar
Doublié, S. (1997). Methods Enzymol. 276, 523–530. CrossRef CAS PubMed Web of Science Google Scholar
Dubrac, S., Bisicchia, P., Devine, K. M. & Msadek, T. (2008). Mol. Microbiol. 70, 1307–1322. Web of Science CrossRef PubMed CAS Google Scholar
Dunin-Horkawicz, S. & Lupas, A. N. (2010). J. Mol. Biol. 397, 1156–1174. CAS PubMed Google Scholar
Emsley, P. & Cowtan, K. (2004). Acta Cryst. D60, 2126–2132. Web of Science CrossRef CAS IUCr Journals Google Scholar
Ferris, H. U., Dunin-Horkawicz, S., Hornig, N., Hulko, M., Martin, J., Schultz, J. E., Zeth, K., Lupas, A. N. & Coles, M. (2012). Structure, 20, 56–66. Web of Science CrossRef CAS PubMed Google Scholar
Gao, R. & Stock, A. M. (2009). Annu. Rev. Microbiol. 63, 133–154. Web of Science CrossRef PubMed CAS Google Scholar
Grant, B. J., Rodrigues, A. P. C., ElSawy, K. M., McCammon, J. A. & Caves, L. S. D. (2006). Bioinformatics, 22, 2695–2696. Web of Science CrossRef PubMed CAS Google Scholar
Gutu, A. D., Wayne, K. J., Sham, L. T. & Winkler, M. E. (2010). J. Bacteriol. 192, 2346–2358. CrossRef CAS PubMed Google Scholar
Hsing, W., Russo, F. D., Bernd, K. K. & Silhavy, T. J. (1998). J. Bacteriol. 180, 4538–4546. CAS PubMed Google Scholar
Huang, R.-Z., Zheng, L.-K., Liu, H.-Y., Pan, B., Hu, J., Zhu, T., Wang, W., Jiang, D.-B., Wu, Y., Wu, Y.-C., Han, S.-Q. & Qu, D. (2012). Acta Pharmacol. Sin. 33, 418–425. CrossRef PubMed Google Scholar
Hulko, M., Berndt, F., Gruber, M., Linder, J. U., Truffault, V., Schultz, A., Martin, J., Schultz, J. E., Lupas, A. N. & Coles, M. (2006). Cell, 126, 929–940. Web of Science CrossRef PubMed CAS Google Scholar
Humphrey, W., Dalke, A. & Schulten, K. (1996). J. Mol. Graph. 14, 33–38. Web of Science CrossRef CAS PubMed Google Scholar
Huynh, T. N., Noriega, C. E. & Stewart, V. (2013). Mol. Microbiol. 88, 459–472. CrossRef CAS PubMed Google Scholar
Krell, T., Lacal, J., Busch, A., Silva-Jiménez, H., Guazzaroni, M. E. & Ramos, J. L. (2010). Annu. Rev. Microbiol. 64, 539–559. Web of Science CrossRef CAS PubMed Google Scholar
MacKerell, A. D. Jr et al. (1998). J. Phys. Chem. B, 102, 3586–3616. CrossRef CAS PubMed Google Scholar
MacKerell, A. D. Jr, Feig, M. & Brooks, C. L. III (2004). J. Comput. Chem. 25, 1400–1415. Web of Science CrossRef PubMed CAS Google Scholar
Mao, Y., Lin, J., Zhou, A., Ji, K., Downey, J. S., Chen, R. & Han, A. (2011). Anal. Biochem. 415, 21–26. CrossRef CAS PubMed Google Scholar
Marina, A., Mott, C., Auyzenberg, A., Hendrickson, W. A. & Waldburger, C. D. (2001). J. Biol. Chem. 276, 41182–41190. Web of Science CrossRef PubMed CAS Google Scholar
Marina, A., Waldburger, C. D. & Hendrickson, W. A. (2005). EMBO J. 24, 4247–4259. Web of Science CrossRef PubMed CAS Google Scholar
Mascher, T., Helmann, J. D. & Unden, G. (2006). Microbiol. Mol. Biol. Rev. 70, 910–938. Web of Science CrossRef PubMed CAS Google Scholar
McCoy, A. J., Grosse-Kunstleve, R. W., Adams, P. D., Winn, M. D., Storoni, L. C. & Read, R. J. (2007). J. Appl. Cryst. 40, 658–674. Web of Science CrossRef CAS IUCr Journals Google Scholar
Mechaly, A. E., Sassoon, N., Betton, J. M. & Alzari, P. M. (2014). PLoS Biol. 12, e1001776. Web of Science CrossRef PubMed Google Scholar
Otwinowski, Z. & Minor, W. (1997). Methods Enzymol. 276, 307–326. CrossRef CAS PubMed Web of Science Google Scholar
Pettersen, E. F., Goddard, T. D., Huang, C. C., Couch, G. S., Greenblatt, D. M., Meng, E. C. & Ferrin, T. E. (2004). J. Comput. Chem. 25, 1605–1612. Web of Science CrossRef PubMed CAS Google Scholar
Phillips, J. C., Braun, R., Wang, W., Gumbart, J., Tajkhorshid, E., Villa, E., Chipot, C., Skeel, R. D., Kalé, L. & Schulten, K. (2005). J. Comput. Chem. 26, 1781–1802. Web of Science CrossRef PubMed CAS Google Scholar
Sanner, M. F., Olson, A. J. & Spehner, J. C. (1996). Biopolymers, 38, 305–320. CrossRef CAS PubMed Web of Science Google Scholar
Senadheera, M. D., Guggenheim, B., Spatafora, G. A., Huang, Y.-C. C., Choi, J., Hung, D. C. I., Treglown, J. S., Goodman, S. D., Ellen, R. P. & Cvitkovitch, D. G. (2005). J. Bacteriol. 187, 4064–4076. Web of Science CrossRef PubMed CAS Google Scholar
Stewart, R. C., VanBruggen, R., Ellefson, D. D. & Wolfe, A. J. (1998). Biochemistry, 37, 12269–12279. CrossRef CAS PubMed Google Scholar
Stock, J. B., Ninfa, A. J. & Stock, A. M. (1989). Microbiol. Rev. 53, 450–490. CAS PubMed Web of Science Google Scholar
Stock, A. M., Robinson, V. L. & Goudreau, P. N. (2000). Annu. Rev. Biochem. 69, 183–215. Web of Science CrossRef PubMed CAS Google Scholar
Surette, M. G., Levit, M., Liu, Y., Lukat, G., Ninfa, E. G., Ninfa, A. & Stock, J. B. (1996). J. Biol. Chem. 271, 939–945. CrossRef CAS PubMed Web of Science Google Scholar
Tawa, P. & Stewart, R. C. (1994). Biochemistry, 33, 7917–7924. CrossRef CAS PubMed Google Scholar
Taylor, D., Cawley, G. & Hayward, S. (2014). Bioinformatics, 30, 3189–3196. Web of Science CrossRef CAS PubMed Google Scholar
Trajtenberg, F., Imelio, J. A., Machado, M. R., Larrieux, N., Marti, M. A., Obal, G., Mechaly, A. E. & Buschiazzo, A. (2016). Elife, 5, e21422. CrossRef PubMed Google Scholar
Varughese, K. I., Tsigelny, I. & Zhao, H. (2006). J. Bacteriol. 188, 4970–4977. Web of Science CrossRef PubMed CAS Google Scholar
Wagner, C., de Saizieu, A., Schönfeld, H.-J., Kamber, M., Lange, R., Thompson, C. J. & Page, M. G. (2002). Infect. Immun. 70, 6121–6128. CrossRef PubMed CAS Google Scholar
Wang, C., Sang, J., Wang, J., Su, M., Downey, J. S., Wu, Q., Wang, S., Cai, Y., Xu, X., Wu, J., Senadheera, D. B., Cvitkovitch, D. G., Chen, L., Goodman, S. D. & Han, A. (2013). PLoS Biol. 11, e1001493. Web of Science CrossRef PubMed Google Scholar
Wang, L. C., Morgan, L. K., Godakumbura, P., Kenney, L. J. & Anand, G. S. (2012). EMBO J. 31, 2648–2659. Web of Science CrossRef CAS PubMed Google Scholar
Wang, Q. et al. (2015). Nucl. Sci. Tech. 26, 010102. Google Scholar
Wayne, K. J., Sham, L.-T., Tsui, H.-C. T., Gutu, A. D., Barendt, S. M., Keen, S. K. & Winkler, M. E. (2010). J. Bacteriol. 192, 4388–4394. CrossRef CAS PubMed Google Scholar
Wilke, K. E., Francis, S. & Carlson, E. E. (2015). ACS Chem. Biol. 10, 328–335. CrossRef CAS PubMed Google Scholar
Willett, J. W. & Kirby, J. R. (2012). PLoS Genet. 8, e1003084. CrossRef PubMed Google Scholar
Winn, M. D. et al. (2011). Acta Cryst. D67, 235–242. Web of Science CrossRef CAS IUCr Journals Google Scholar
Yamada, S., Sugimoto, H., Kobayashi, M., Ohno, A., Nakamura, H. & Shiro, Y. (2009). Structure, 17, 1333–1344. Web of Science CrossRef PubMed CAS Google Scholar
Yeo, W.-S., Zwir, I., Huang, H. V., Shin, D., Kato, A. & Groisman, E. A. (2012). Mol. Cell, 45, 409–421. CrossRef CAS PubMed Google Scholar
This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.