| Models of Voltage-Dependent Conformational Changes in NaChBac Channels Biophysical Journal, Volume 95, Issue 8, 15 October 2008, Pages 3663-3676 Yinon Shafrir, Stewart R. Durell and H. Robert Guy Abstract Models of the transmembrane region of the NaChBac channel were developed in two open/inactivated and several closed conformations. Homology models of NaChBac were developed using crystal structures of Kv1.2 and a Kv1.2/2.1 chimera as templates for open conformations, and MlotiK and KcsA channels as templates for closed conformations. Multiple molecular-dynamic simulations were performed to refine and evaluate these models. A striking difference between the S4 structures of the Kv1.2-like open models and MlotiK-like closed models is the secondary structure. In the open model, the first part of S4 forms an -helix, and the last part forms a 3 helix, whereas in the closed model, the first part of S4 forms a 3 helix, and the last part forms an -helix. A conformational change that involves this type of transition in secondary structure should be voltage-dependent. However, this transition alone is not sufficient to account for the large gating charge movement reported for NaChBac channels and for experimental results in other voltage-gated channels. To increase the magnitude of the motion of S4, we developed another model of an open/inactivated conformation, in which S4 is displaced farther outward, and a number of closed models in which S4 is displaced farther inward. A helical screw motion for the -helical part of S4 and a simple axial translation for the 3 portion were used to develop models of these additional conformations. In our models, four positively charged residues of S4 moved outwardly during activation, across a transition barrier formed by highly conserved hydrophobic residues on S1, S2, and S3. The S4 movement was coupled to an opening of the activation gate formed by S6 through interactions with the segment linking S4 to S5. Consistencies of our models with experimental studies of NaChBac and K channels are discussed. Abstract | Full Text | PDF (1572 kb) |
| The voltage-sensor structure in a voltage-gated channel Trends in Biochemical Sciences, Volume 30, Issue 4, 1 April 2005, Pages 166-168 Francisco Bezanilla Abstract A recent electron paramagnetic resonance study of KvAP, a prokaryotic voltage-gated channel, in its lipid native environment has revealed the location of the transmembrane segments, the connecting loops and the relative position of the voltage-sensing charges. The results confirm that the previously reported crystal structure does not represent a native conformation and give us structural constraints that will help in determining the molecular structure of the voltage sensor. Abstract | Full Text | PDF (528 kb) |
| Detecting Rearrangements of Shaker and NaChBac in Real-Time with Fluorescence Spectroscopy in Patch-Clamped Mammalian Cells Biophysical Journal, Volume 86, Issue 6, 1 June 2004, Pages 3966-3980 Rikard Blunck, Dorine M. Starace, Ana M. Correa and Francisco Bezanilla Abstract Time-resolved fluorescence detection of site-directed probes is a major tool in the investigation of structure-function relationships of voltage-dependent ion channels. However, the technique has been limited so far to the -oocyte system making it difficult to study proteins, like, e.g., the prokaryotic sodium channel NaChBac, whose expression in oocytes is insufficient or whose physiological functions are distorted in oocytes. To expand the application of site-directed fluorescence detection to these proteins, we used two techniques—semiconfocal epifluorescence and total internal reflection fluorescence—to detect time-resolved fluorescence changes from site-directed labeled proteins expressed in mammalian cells under patch-clamp conditions, and investigated the characteristics and limitations of the techniques. The voltage-sensitive dye, di-8-ANEPPS, was used to monitor control of the membrane voltage in epifluorescence and total internal reflection fluorescence. Fluorescence changes in patch-clamped cells were recorded from a channel mutant (M356C) labeled in the S3–S4 linker using semiconfocal epifluorescence. The gating kinetics and fluorescence changes were in accordance with previous studies using fluorescence spectroscopy in -oocyte systems. We applied our technique to the prokaryotic sodium channel NaChBac. Voltage-dependent protein-rearrangements of S4 could be detected that are independent of inactivation. Comparison of the S3–S4 linker regions revealed structural differences to the KvAP voltage sensor. The results from the NaChBac channel point to structural requirements for the S3–S4 loop to generate a fluorescence signal. Abstract | Full Text | PDF (557 kb) |
Copyright © 2007 The Biophysical Society. All rights reserved.
Biophysical Journal, Volume 92, Issue 10, 3513-3523, 15 May 2007
doi:10.1529/biophysj.106.090464
Channels, Receptors, and Electrical Signaling
Jonathan Blanchet, Sylvie Pilote and Mohamed Chahine
, 
Research Centre and Department of Medicine, Hôpital Laval, Quebec City, Quebec, Canada G1V 4G5
Address reprint requests to Mohamed Chahine, PhD, Le Centre de recherche Université Laval Robert-Giffard, Local F-6539, 2601 chemin de la Canardière, Québec (Québec) G1J 2G3 Canada. Tel: 418-663-5747 ext. 4723; Fax: 418-663-8756.Voltage-gated ionic channels are membrane proteins involved in the transport of ions in both prokaryotic and eukaryotic cells 1. They belong to a large family of proteins that includes several types of voltage-gated Na+, Ca2+, and K+ channels. NaChBac is a prokaryotic voltage-gated Na+ channel from Bacillus halodurans2. NaChBac was recently cloned and has some remarkable features. For example, even though the channel is Na selective, the amino acid sequence of the selectivity filter is similar to that of calcium channels. It is a homotetramer and each monomer is composed of six transmembrane segments (S1–S6) 3. The S1–S4 domain makes up the voltage-sensor domain, whereas the linker between S5 and S6 forms the pore of the channel 4. According to the crystal structures of K+ channels, the voltage-sensor domain is almost independent of the pore 5. This is in agreement with recent discoveries of voltage-sensor proteins that are not attached to a pore domain or that are attached to phosphoinositide phosphatase 6,7,8.
Regardless of the origin of the voltage sensor, it has been shown that several charged residues are conserved in segments S2, S3, and S4. S4 segments usually have four or more basic residues–most of them arginine residues 9–which are involved in the voltage-sensing process. The role of these arginine residues has already been studied in NaChBac 10. Three conserved acidic residues in the S2 and S3 segments are also believed to participate in the gating process of the Shaker K+ channel by interacting via positively charged residues in S4 11,12,13. These three residues are also present in NaChBac. The charge conservation of these residues in voltage sensors in different species is consistent with the view of a divergent structural evolution 14.
It has been suggested that electrostatic network interactions exist between acidic groups on S2 and S3 and basic residues on S4 in the Shaker K+ channel, but this hypothesis has been challenged recently 15,16. Experimental results suggest that two networks of strong, local, electrostatic interactions stabilize the structure of the channel and play an important role in activation. One is E-283(S2):R-368(S4):R-371(S4) and the other, E-293(S2):D-316(S3):K-374(S4) 13. The isolated voltage-sensor crystal structure does not clearly show these interactions 17. Indeed, homologous residues of the Shaker E-283 (D-62 in KvAP) do not interact strongly with R3 or R4, the third and the fourth arginine residue in the S4. Moreover, no residues in S4 interact with D-72 or E-93 in KvAP, the homologous residues to E-293 and D-316 in the Shaker K+ channel. However, the crystal structure does not rule out the possibility of these interactions because they may occur in the closed conformation of the voltage sensor, which has not yet been structurally determined. Nevertheless, other studies suggest that a direct electrostatic interaction between these charged residues is not consistent with the gating process 15,16 because such an interaction would neutralize the arginine residues in S4 and eliminate the voltage-sensing capacity. They also suggest that breaking these interactions during gating could create a high-energy barrier, but there is some uncertainty about the real energetic cost of breaking salt bridge interactions since they appear to naturally break and reform in proteins 18,19.
In this work, we studied the interactions involved in the voltage-gating process of NaChBac by exploring the role of acidic residues in the S2 and S3 segments. To do this, we used site-directed mutagenesis to change these residues (D-58 and E-68 in S2, and D-91 in S3) into cysteine (neutral charge), lysine (positive charge), and aspartate or glutamate (negative charge) to study their effect on activation. We also built a homology model base on the recently determined crystal structure to better understand the nature of the interresidue interactions and how they influence the gating process.
Recombinant cysteine mutants of the three acidic residues were generated using QuickChange site-directed mutagenesis kits from Stratagene (La Jolla, CA) according to the manufacturer’s instructions and as previously described 10. The presence of the mutations was confirmed by automatic sequencing of the entire NaChBac gene (CHUL Research Centre DNA sequencing facility, Quebec City, QC, Canada). WT and mutant NaChBac and CD8 were constructed in the piRES vector (piRES/CD8/NaChBac). For the patch-clamp experiments, 2- to 3-day posttransfection cells were incubated for 5min in a medium containing anti-CD8-a-coated beads (Dynabeads M-450 CD8-a, Dynal Biotech ASA, Oslo, Norway) as previously described 20. Cells expressing surface CD8-a fixed the beads and were visually distinguishable by light microscopy from nontransfected cells 21.
TsA201, a mammalian cell line derived from human embryonic kidney (HEK) 293 cells, was grown and incubated as previously described 10,20.
NaChBac macroscopic Na+ currents from tsA201-transfected cells were recorded using the whole-cell configuration of the patch-clamp technique as previously described 10.
For whole cell recordings, the patch pipette contained 35mM NaCl, 105mM CsF, 10mM EGTA, and 10mM HEPES-free acid. The pH was adjusted to 7.4 using 1N CsOH. The bath solution contained 150mM NaCl, 2mM KCl, 1.5mM CaCl2, 1mM MgCl2, 10mM glucose, and 10mM HEPES-free acid. The pH was adjusted to 7.4 with 1N NaOH. The liquid junction potential between the patch pipette and the bath solutions was corrected by −7mV. The recordings were made 5min after obtaining the whole cell configuration to allow the current to stabilize and the contents of the patch electrode to diffuse adequately. Experiments were carried out at room temperature (22°C–23°C).
Data are expressed as mean±SE (standard error of the mean). When indicated, a t-test was performed for biophysical parameters using statistical software SigmaStat for Windows v3.00 (Systat Software, Point Richmond, CA). Time constant data were analyzed by a posteriori Dunett comparisons with SAS software (SAS Institute, Cary, NC). Differences were deemed significant at p<0.05.
The Na+ channel conductance (G) was calculated from peak currents (I) according to the following equation G=I/(V−VNa), where V is the test potential and VNa is the reversal potential determined by the intercept of the linear interpolation of the current before and after reversal. The data points of the G-V curve were fitted using the Boltzmann equation G/Gmax=1/(1+exp[(V−V1/2)/kv]), where G is the measured conductance, kv represents the slope factor, V1/2 is the potential at which the half maximal channel open probability occurs, and Gmax is the maximal conductance.
The crystal structure of the KvAP-isolated voltage sensor (1ORS in the Protein Data Bank) was used to build the NaChBac model by homology modeling 17. It was chosen over Kv1.2 structure mainly because of its better resolution (see Supplementary Material (I) for more details). Two sequence alignments were performed before modeling, one with ClustalW 22 and another with T-Coffee 23. A comparison of alignments gave different results for S3 and S4, where the four arginine residues in NaChBac were shifted with T-Coffee relative to their homologous positions in KvAP and Kv1.2 (Fig. 1). Both models were built to explore the impact of shifting the arginine residues on interactions. Only the activated conformation of the voltage sensor was considered during the modeling since it is the conformation adopted by the isolated voltage-sensor structure of KvAP 17. De novo building of the resting conformation was not attempted for this study because we lack too many structure-function data that should restrict the numerous conformation possibilities, in addition to the uncertainty surrounding the voltage sensor’s displacement during gating. Moreover, since the biophysical effects studied here concern mainly the channel activation, a structure of the activated conformation is more relevant.
Homology modeling, calculations, and structure optimizations were performed with the ZMM program (www.zmmsoft.com) 24,25. Atom-atom interactions were calculated using the AMBER force field 26 with a cutoff distance of 8Å and a shifting function 27. Electrostatic interactions were calculated using the distance-dependent dielectric. Solvation effects were taken into account using an implicit-waters method 28. Counterions were not added to the models because their positions in the original structure are not known. With these conditions the software might overestimate the relative force of electrostatic interactions; for example, salt bridges will show large energy values compared to other interactions. Therefore, these values need to be interpreted with caution. Conformational searches and optimization of the models were done with the Monte Carlo minimization protocol 29,30,31. In every calculation, Cα atoms of conserved residues were restrained to 1Å from their crystallographic coordinates with a flat-bottom energy function. A complete description of the model building is provided in the Supplementary Material (I) .
The biophysical characterization included analyses of the families of Na+ current-voltage relationships, the G-V curves, and the time constants of activation and inactivation. Examples of a family of Na+ currents for wild-type (WT) and D-58 mutant NaChBac channels are shown in Figure 2AD. Neutralizing the aspartate residue at position 58 (D-58C) on the S2 transmembrane segment resulted in a shift of the G-V curve to a more positive potential (Figure 2E). A similar result was obtained when a positive charge (K) replaced the negative charge of the native aspartate residue. Conserving the negative charge (D to E) resulted in a modest but statistically significant left shift of the G-V curve to more negative potentials (Figure 2E) (see Table 1 for G-V parameters and the bar diagram on Fig. 3).
| Table 1 Comparative activation biophysical parameters for NaChBac/WT and the mutants D-58, E-68, and D-91 |
| Mutated residues | Activation parameters | Negative charge substitution | ||||
|---|---|---|---|---|---|---|
| C | K | E/D† | ||||
| D-58 | V1/2 | 9.1±1.7* | 19.2±1.9* | −51.8±0.1* | ||
| n=7 | n=7 | n=3 | ||||
| kv | −13.0±0.5* | −6.8±0.5 * | −11.5±0.5 | |||
| n=7 | n=7 | n=3 | ||||
| D-91 | V1/2 | −74.6±3.3* | −72.9±2.6* | −18.2±6.4* | ||
| n=17 | n=4 | n=5 | ||||
| kv | −15.0±1.0* | −10.2±1.2 | −13.8±0.8* | |||
| n=17 | n=4 | n=5 | ||||
| E-68 | V1/2 | −83.8±4.1* | −62.5±2.7* | −17.9±2.6* | ||
| n=5 | n=13 | n=9 | ||||
| kv | −13.5±1.6* | −16.8±1.0* | −20.8±0.5* | |||
| n=5 | n=13 | n=9 | ||||
| The parameters shown (V½ and Kv) were derived from Boltzmann fits to the corresponding steady-state activation curves. The values are expressed as mean±SE. n, number of experiments. V1/2, voltage for half activation. kv, slope factor. |
| * Significantly different (p<0.05) from respective control WT parameters (V1/2=−35.9±1.1, kv=−10.1±0.4, n=13). † E substitution for D-58 and D-91 and D substitution for D-68. |
Examples of a family of Na+ currents for E-68 mutant NaChBac channels are shown in Figure 4AC. Unlike the D-58 mutations, neutralizing or replacing the negative charge by a positive charge at position 68 (E-68C or E-68K) on the S2 transmembrane segment resulted in a shift of the G-V curve to more negative potentials (Figure 4D).
Examples of a family of Na+ currents for D-91 mutant NaChBac channels are shown in Figure 5AC. Like the E-68 mutations, neutralizing as well as reversing the negative charge at position 91 on the S3 segment (D-91C or D-91K) shifted the G-V curve to more negative potentials, whereas conserving the negative charge shifted the G-V curve to more positive potentials (Figure 5D) (see Table 1 for G-V parameters and the bar diagram in Fig. 3).
Thus, positive or neutral mutants of D-58 led to channels that were less sensitive to changes in voltage, whereas a change in E led to a more sensitive channel. This is demonstrated by a shift in the V1/2 and significant changes in the slop factor (Table 1). On the other hand, E-68 and D-91 mutants were more sensitive when the negative charge was changed to a positive or neutral charge, whereas it was less sensitive when changed to another type of negative charge. Although E-68 and D-91 are located on two different transmembrane segments, the similar biophysical phenotypes observed with these two residues suggest that they may interact with the same residues or may have the same influence on the same interacting region.
For D-58 mutants, there were no significant changes in the kinetics of activation, but the time constants of inactivation were significantly slower than that of the WT (data not shown). Interestingly, the presence of a neutral (C) or a positive (K) charge at position 68 resulted in slower activation kinetics and slow entry into the inactivated state (Figure 6AB). This was reflected by slower current decay time constants. For D-91 mutants, slight changes in the kinetics of activation and inactivation were observed (Figure 6CD). This suggests that D-58 and E-68 may influence the way the channel pore collapses.
WT NaChBac models built using T-Coffee and ClustalW gave similar results. These models gave a similar systemic energy, the main interactions were almost the same, the energy contributions of the residues were on the same order of magnitude and the same changes were observed when the residues were mutated. The differences between the models involved D-58, which is close to the S4 segment, and E-68, which mainly interacts with R-129 in the T-Coffee model (see below) and R-130 in the ClustalW model (see Supplementary Material (II) ). Because showing the analysis of both models in this work might be tedious, we preferred to show only the models obtained with the T-Coffee alignment, where the arginine residues in S4 were shifted (Figure 1AB and Figure 2AB and Figure 3AB and Figure 4AB and Figure 5AB and Figure 6AB and Figure 7AB). Our main reasons are that the results obtained from the T-Coffee alignment were easier to compare with the Shaker K+ channel 23 because R-120 (R-4) in NaChBac is homologous to K-5 (K-374) in the Shaker K+ channel. Also, the T-Coffee model might better agree with our previous work 10 where R-129C shows a strong effect on gating and inactivation kinetics, which might be explained by its interaction with E-68. Finally, it was presumed that T-Coffee is more accurate than ClustalW for sequences that have <30% identity, which is the case of NaChBac compared to KvAP and Kv1.2. An example of T-Coffee accuracy for our work, ClustalW did not correctly align the conserved acidic residue in S3 (Fig. 1). However, the particularities of the models obtained from ClustalW are interesting and should not be put aside, especially without other proofs of NaChBac’s shifted arginine residues in S4. The results and analysis of the ClustalW model are presented in the Supplementary Material (II) .
Residue D-58 interacts mainly with the side chain of R-120 and with the backbone of A-97 and G-98 in S3. The respective interaction energies are −7.1, −2.2, and −3.6 kcal·mol−1 (Table 2). However, D-58 is too far from S4 to create a salt bridge with R-120 (Figure 7C). In this model, it appears that R-120 had the same role as K-374 (K-5) in the Shaker K+ channel and R-133 in KvAP (Figure 7D), despite the fact that they are not aligned in Fig. 1. R-133 in KvAP is located one helix turn past (four residues), and thus on the same helix face, R-120 and K-374. The head of the residue’s side chain is approximately in the same spatial position and almost forms the same interactions (Figure 7CD). The difference in the position of R-120 versus R-133 (absence and presence of a salt bridge) could indirectly be a reason for the kinetic and sensitivity differences between both channels. D-58C loses all these interactions, which change the interaction network of the residues in the voltage-sensing domain. This change is reflected by an increase of the interaction energy of the residue, from −20.1 to −4.7kcal·mol−1 (Table 3; Table 4 in Supplementary Material (II) ). D-58K also loses the interactions observed in the WT channel, with total interaction energy of −9.4kcal·mol−1, but it is stabilized by E-41 (Table 3). D-58E, which conserves the negative charge, was closer to S4 and formed a strong salt bridge with R-120, where the interaction energy changed from −7.1 to −32.3kcal·mol−1, for a difference of −25.2kcal·mol−1(Table 2,Table 3 and Figure 7E). Such large changes in interaction energy are most probably exaggerated by the modeling software (see Materials and Methods), but they are representative of a much stronger interaction in the case of salt bridges. D-58E maintained good interactions with A-97 and G-98, but R-120 bound less strongly to L-93, I-94, and A-96 in S3, which were the main interacting residues in the WT model (Figure 7C). Other mutations of D-58 did not greatly affect the interactions of R-120 with S3 residues.
| Table 2 List of the strongest interactions of the WT residues with their environments (in kcal·mol−1) |
| Total | VdW | Electro | |||
|---|---|---|---|---|---|
| D-58-E-41 | 4.0 | 0.0 | 4.0 | ||
| D-58-A-97 | −2.2 | −0.3 | −1.9 | ||
| D-58-G-98 | −3.6 | −0.7 | −2.8 | ||
| D-58-R-120 | −7.1 | −0.1 | −7.0 | ||
| E-68-R-72 | −14.7 | −1.3 | −13.0 | ||
| E-68-D-91 | 4.7 | −0.1 | 4.8 | ||
| E-68-R-129 | −36.7 | 1.6 | −37.5 | ||
| E-68-D-133 | 5.1 | 0.0 | 5.1 | ||
| D-91-E-68 | 4.7 | −0.1 | 4.8 | ||
| D-91-R-72 | −24.1 | 0.4 | −24.2 | ||
| D-91-R-120 | −3.2 | −0.1 | −3.1 | ||
| D-91-R-129 | −5.9 | −0.1 | −5.8 | ||
| These interactions were selected with an energy cutoff of ±3.0kcal·mol−1 and do not include intramolecular interactions like α-helix H-bonds. |
| Table 3 Residue-residue interaction energy differences (Δ kcal·mol−1) between the WT and the mutants (see Table 2 for WT energy values) |
| WT | D-58C | D-58K | D-58E | E-68C | E-68K | E-68D | D-91C | D-91K | D-91E | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| D-58-E-41 | 0.0 | −4.0 | −34.5 | 1.1 | −0.1 | −0.6 | −0.7 | −0.5 | −0.5 | −0.7 | ||
| D-58-A-97 | 0.0 | 2.2 | 2.2 | −0.8 | −0.8 | 0.1 | 0.2 | −0.8 | 2.2 | −0.6 | ||
| D-58-G-98 | 0.0 | 3.6 | 3.6 | −0.2 | −1.7 | 0.1 | 0.4 | −0.9 | 0.7 | −1.1 | ||
| D-58-R-120 | 0.0 | 7.1 | 7.1 | −25.2 | −2.5 | −0.2 | −2.5 | −0.8 | 1.1 | −5.1 | ||
| E-68-R-72 | 0.0 | 6.1 | 2.6 | 5.1 | 14.7 | 14.7 | −2.1 | −18.2 | −18.6 | 2.2 | ||
| E-68-D-91 | 0.0 | −0.8 | −0.2 | −1.0 | −4.7 | −4.7 | 0.2 | −4.7 | −14.8 | 1.1 | ||
| E-68-R-129 | 0.0 | −0.2 | −0.1 | 5.4 | 36.7 | 36.7 | 9.3 | −0.2 | 1.0 | 4.0 | ||
| E-68-D-133 | 0.0 | 0.0 | 0.4 | −0.2 | −5.1 | −5.1 | −0.8 | 0.1 | 0.2 | 0.2 | ||
| D-91-E-68 | 0.0 | −0.8 | −0.2 | −1.0 | −4.7 | −4.7 | 0.2 | −4.7 | −14.8 | 1.1 | ||
| D-91-R-72 | 0.0 | −5.6 | −2.1 | −0.7 | −0.5 | −7.1 | 0.6 | 24.1 | 31.8 | −12.9 | ||
| D-91-R-120 | 0.0 | 0.1 | 0.1 | 3.2 | 0.1 | 0.0 | 0.1 | 3.2 | 3.2 | 3.2 | ||
| D-91-R-129 | 0.0 | 0.9 | 0.3 | 1.3 | 1.5 | −28.9 | 0.0 | 5.9 | 14.9 | −2.8 | ||
| Because some energy values from the mutants were outside the ±3.0 kcal·mol−1 cutoff, their interaction energy is considered to be zero; in this table, such a result gives a value equivalent to the WT with the opposed sign (like interaction D-58-A-97 in D-58C, etc.). |
The main interaction of E-68 in the WT model was a salt bridge with R-129, which strongly bound the C-ter end of S2 helix to the S4-S5 linker (L4-5) with an interaction energy of −36.7kcal·mol−1 (Figure 7F). It also formed a favorable intrahelix contact (−14.7kcal·mol−1) with R-72, an interaction that may help stabilize the formation of the helix (Table 2). The proximity of D-91 in S3 and D-133 in L4-5 created a repulsive force (4.7 and 5.1kcal·mol−1) between E-68 and these residues, respectively. However, unlike E-68, D-91 mainly interacted with R-72 (−24.1kcal·mol−1) but also had a favorable interaction with R-129 (−5.9kcal·mol−1) (Figure 7F and Table 3). This interaction pattern is different from that in KvAP (Figure 7G), mainly because R-129 (in NaChBac) is located one helix turn farther. In KvAP, K-136 does not form a salt bridge with D-76 or E-93 because it is too far from these residues. However, it is close enough to form stabilizing electrostatic interactions with these residues. E-68C loses all interactions with its environment, which had a significant effect considering the loss of the E-68-R-129 interaction. Changing the residue to a lysine had the same effect, resulting in a loss of all interactions with the environment. Total interaction energy of E-68C and E-68K are relatively close, being −3.3 and 3.7kcal·mol−1, respectively, compared to −43.9 for the WT (Table 4 in Supplementary Material (II) ). It did not, for example, seem to be significantly stabilized by interacting with D-91 (Figure 7H). E-68D only weakened the interaction of the residue with R-129 (Table 3). D-91 interactions were not significantly affected by these mutations. Only E-68K enhanced the interactions of D-91 with R-72 and R-129. Mutations of D-91 and E-68 exhibited similar characteristics. Mutating D-91 to C or K caused the loss of strong bonds between this residue and R-72, but the salt bridge between E-68 and R-129 was usually present and the E-68-R-72 interaction was stronger (Table 3). D-91E interacted more strongly with R-129 and to a lesser extent with R-72. This mutation slightly weakened the interaction of E-68 with R-72 and R-129 (Figure 7F).
Interestingly, charge-reversal (negative to positive) mutations resulted in a slight but statistically significant difference in the V1/2 values (Table 1) compared to charge neutralization; this was true for D-58 (p=0.002) and E-68 (p<0.001) but not for D-91 (p=0.812). Such a radical change was expected to greatly affect voltage-sensor activity. Molecular modeling showed that the interaction energy of neutralized or charge-reversed residues has almost the same effect on the residue-residue interactions (Table 3). This was the result of a rearrangement of interactions between the voltage sensor and the lysine residue whose positive charge was partially stabilized and almost neutralized.
Our goal was to study the role of the conserved acidic residues in the S2 and S3 transmembrane segments of NaChBac in channel gating. We used site-directed mutagenesis to change these residues into C (neutral), K (positive), or another negatively charged residue (either E or D) and to study the effect this has on channel activity. Reversing or neutralizing the charge of D-58 shifted the activation midpoint toward a more depolarized potential, suggesting a more stable closed state. In contrast, reversing or neutralizing the charges of E-68 and D-91 shifted the activation midpoint toward more hyperpolarized potentials, suggesting an unstable closed state. This also led to slower current decay. Conserving the charge resulted in a slight shift in the opposite direction compared to other mutations. We also built a molecular model based on the recently crystallized KvAP voltage-gated potassium channel to visualize interresidue interactions and to study the effect on the voltage sensor of changing the charges of the conserved acidic residues. In the models, reversing or neutralizing the charge of one of the three residues led to a loss of the usually strong interactions observed in the WT model. Conserving the charge such as changing D to E led to stronger interactions, whereas changing E to D led to weaker interactions. E differs from D by the presence of an additional CH2 group in the side chain. This small difference has a significant effect on NaChBac function. Differences between the G/V curves and interaction energies with the mutated residues showed that D-58 behaved differently than E-68 and D-91, which are close to each other and may influence each other’s interactions.
In our study, all the NaChBac mutant channels were functional and thus provided a complete data set. Observations similar to ours are difficult to make with the Shaker K+ channel because most Shaker mutants do not express functional channels 32. However, most of the available data for Shaker mutants are similar to ours. For example, the G/V curves of Shaker mutants E-293Q and E-293K were shifted to the left, as was the case with NaChBac mutants E-68C and E-68K. Also, the G/V curve of E-283D was shifted to the right, whereas the G/V curve of D-58E exhibited a slight shift to the left. In both cases, the D residue at this position (the first acidic residue in S2) produced a more depolarized G/V curve than the E residue. There are, however, several differences between the Shaker and NaChBac channels that raise questions as to whether the voltage-sensor domains of the two channels have the same interactions and mechanical functions. Despite the well-known conserved residues in S2, S3, and S4, the S4 segment has a different pattern of arginine residues in different channels. In our model, which we obtained with ClustalW (Fig. 1; see also Supplementary Material (II) ), the first four arginine residues in NaChBac are aligned with the first four arginine residues of KvAP and Kv1.2. However, NaChBac has no residue that is equivalent to K-374 (Shaker) or R-133 (KvAP). With T-Coffee, R-1 is not present in NaChBac and the equivalent of K-374 (Shaker) and R-133 (KvAP) is R-120. Can these differences somehow be compensated for or do they have a specific role in their respective channels? Despite the similarities between the studies on Shaker and NaChBac channels, it is noteworthy that E-293D in the Shaker channel has no effect on the G/V curve whereas mutant E-68D, the equivalent residue in NaChBac, leads to a depolarized shift of the G/V curve. These conserved residues may thus have slightly different functions in different channels.
To the best of our knowledge, only one other structure-based model has looked at acidic residue interactions in S2-S3. In this molecular dynamics simulation of the KvAP voltage sensor, the authors suggested that negatively charged residues hold the segments of the voltage sensor together 18, an observation that can be transposed to our models of NaChBac. D-58, which is located near the extracellular end of S2, stands alone near S3b and S4. It binds these two segments together near their respective hinges (N-terminal end of segment S3b and C-terminal end of segment S4) and may allow the S3b-S4 hairpin to move like a trap door. E-68 and D-91 are located close to each other and have similar biophysical characteristics and similar interactions in the models. These residues hold S2 and L4-5 (E-68-R-129) and S2 and S3 near the intracellular side of the membrane (R-72-D-91) together, respectively. They also may hold the intracellular part of the voltage sensor domain tightly together, whereas D-58 creates a “door hinge” that allows a controlled movement of S3b and S4. Most of the other published modeling and structural studies do not provide extensive discussions of the possible role of these residues.
Are the acidic residues in S2 and S3 involved in the voltage-sensing process like the arginine residues in S4? A previous study suggested that E-293 in the Shaker K+ channel (E-68 in NaChBac) may be involved in voltage sensing 12. Although we observed changes in the slope factors, this does not definitively mean that E-68 is involved in voltage sensing. To unravel this effect, gating current measurements are required. The NaChBac models showed that the mutations altered the interaction patterns inside the domain and might also have modified the way the voltage sensor moves during gating. It is clear from the models that mutations changed specific interactions with other segments of the voltage-sensor domain. For example, mutating E-68 to C or K in NaChBac slowed the kinetics of both activation and inactivation to a degree very similar to that previously observed for R-129C 10. This was predicted by our model. Indeed, in the model, E-68 and R-129 interacted strongly (Figure 7F). When the charge of one or the other residue was changed, this disturbed the interaction between the residues and slowed the kinetics of the channel.
If residue-residue interactions are the key factor in the movement of voltage sensors, it follows that mutations of negatively charged residues in S2-S3 segments will destabilize the structure and affect the “dynamic equilibrium” of the domain. These changes, even when they only slightly affect the local structure, can have a considerable effect on the way the sensor moves by making the structure either more flexible or more rigid and by altering the biophysical characteristics. When D-58 is mutated into E-58, its interactions with S4 are stronger and the hinge would be held more tightly. This would stabilize the S3b-S4 hairpin (the paddle), which would then react with a relatively smaller change in the membrane potential. Mutating D-58 to C or K weakens the interactions, and the paddle becomes more awry in its movement. Residue 58 cannot hold S3b-S4 together and a larger section of the paddle is allowed to move, requiring a larger potential difference to open the channel. This is consistent with the observed shift to the right of the G-V curve. Mutations at position 68 destroy (C or K) or reduce (D) its interaction with R-129 (L4-5). With the two first mutations, the L4-5 segment is no longer attached to S2 and can transfer the movement of the sensor (from S4) more easily to the pore through the S6 segment, while requiring a smaller potential difference, which would result in the observed leftward shift of activation. However, this structure is unstable and has difficulty returning to the resting conformation, which might explain the slower inactivation decay. Reducing the interaction force with E-68D might, in fact, allow a stronger interaction between R-129 and D-91, just as D-91E interacts more strongly with R-129. This change in interaction strength would affect the movement of the L4-5 segment, which would then require a relatively stronger change in potential (more gating energy) to alter the conformation of the pore. Mutating D-91 to C or K destroys its interaction with R-72, which would decrease the stability of S2, which in turn would then move with L4-5 due to a stronger interaction between E-68 and R-129.
The voltage sensor of NaChBac seemed to influence the process of channel inactivation, unlike what has been suggested by Pavlov et al. 3. Chahine et al. 10 reported that mutating the arginine residues in S4, especially R-120 (R-4), dramatically slows the kinetics of inactivation of the channel, as was the case for E-68 (and D-91 to a lesser extent) in this study. This has not been observed with other channels and could, in fact, be another difference between NaChBac and other known channels 6,7,8,33. However, this may simply be due to the different mechanisms governing inactivation. Further studies are required to elucidate the molecular determinants of the inactivation process of NaChBac.
As well as playing a role in the stability and dynamics of the voltage sensor, the acidic residues in S2-S3 may have an influence on the local electric field. Electrostatic forces are long-range interactions and can have an influence on crystal structure that molecular modeling cannot characterize. In addition, we do not know exactly how the charges on S4 move through the electric field nor what form or length it has. It has already been shown that small changes in focused electric fields can affect gating 34.
If residue-residue interactions are vital in maintaining a functioning sensor, it is important to know whether such interactions change from one conformation to another. Because we only built a model of the activated conformation (see Materials and Methods), the interactions of the resting conformation in NaChBac could not be observed. As mentioned above, relatively little is known about the structure-function of the resting conformation of most ion channels, and what information exists is generally incomplete or contradictory. If the gating movement is large 35, then the interactions will certainly change. Most probably, the salt bridges posited in the models will break and new ones will form 36. If the gating movement is small or if the salt bridges we described (D-58-R-120, E-68-R-129, and D-91-R-72) are stable, breaking the salt bridges would be energetically unfavorable in terms of allowing a reaction as fast as that observed with voltage sensing. The interactions should thus remain almost unchanged between the resting and the activated conformations. However, two theoretical studies have recently described models that reconcile the contradictory experiments in that they allow for a smaller, lateral displacement of the S4 segment together with a displacement large enough to change the interactions of the S2-S3 acidic residues 37,38.
We studied the effect of mutating conserved acidic residues in segments S2 and S3 of the NaChBac sodium channel. It is clear from the experimental data and the structural models that these residues are important for voltage-sensor functions. Although they are conserved in every known voltage sensor 7, very little is known about their role in voltage sensing 11,12,13,32. Molecular modeling suggests that specific interactions between residues of different segments are very important, whether for maintaining domain stability or local electric fields, or both. These interactions in NaChBac are D-58 (S2) with A-97-G-98 (S3) and R-120 (S4), E-68 (S2) with R-129 (L4-5), and D-91 (S3) with R-72 (S2), which is also a conserved residue. Our results provide support for the modeled interaction between E-68 and R-129, which shows that this link between the S2 segment and the S4-S5 linker of NaChBac is important for channel function and kinetics. These interactions seem to act like strap hinges that stabilize the voltage-sensor domain. A similar role for these interactions has also been suggested in KvAP 18. However, this hypothesis is not supported by a possible large movement of the voltage-sensor 35 where these interactions change between the closed and open conformations, unless the movement of S4 is characterized by a lateral displacement 37,38,39. Although the crystal structures of the voltage sensors of KvAP and Kv1.2 have shed some light on their interactions in the open conformation, we still do not know much about their configurations in the closed conformation. More information on the structure of the closed conformation would certainly help determine the role of these residues in addition to the length of the voltage-sensor movement.
This study was supported by grants from the Heart and Stroke Foundation of Québec and the Canadian Institutes of Health Research. M. Chahine is an Edwards Senior Investigator (Joseph C. Edwards Foundation).
An online supplement to this article can be found by visiting BJ Online at http://www.biophysj.org.
1. (2001). Ion channels of excitable membranes. (Sunderland, MA: Sinauer Associates). PubMed
2. (2001). A prokaryotic voltage-gated sodium channel. Science 294, 2372–2375. CrossRef | PubMed
3. (2005). The pore, not cytoplasmic domains, underlies inactivation in a prokaryotic sodium channel. Biophys. J. 89, 232–242. Abstract | Full Text | PDF (201 kb) | CrossRef | PubMed
4. (2002). The cation selectivity filter of the bacterial sodium channel, NaChBac. J. Gen. Physiol. 120, 845–853. CrossRef | PubMed
5. (2005). Voltage sensor of Kv1.2: structural basis of electromechanical coupling. Science 309, 903–908. CrossRef | PubMed
6. (2005). Phosphoinositide phosphatase activity coupled to an intrinsic voltage sensor. Nature 435, 1239–1243. CrossRef | PubMed
7. (2006). A voltage sensor-domain protein is a voltage-gated proton channel. Science 312, 589–592. CrossRef | PubMed
8. (2006). A voltage-gated proton-selective channel lacking the pore domain. Nature 440, 1213–1216. CrossRef | PubMed
9. (2000). The voltage sensor in voltage-dependent ion channels. Physiol. Rev. 80, 555–592. PubMed
10. (2004). Role of arginine residues on the S4 segment of the Bacillus halodurans Na+ channel in voltage-sensing. J. Membr. Biol. 201, 9–24. CrossRef | PubMed
11. (1995). Electrostatic interactions of S4vol.age sensor in Shaker K+ channel. Neuron 14, 1293–1301. Abstract | | CrossRef | PubMed
12. (1996). Voltage-sensing residues in the S2 and S4 segments of the Shaker K+ channel. Neuron 16, 1159–1167. Abstract | Full Text | PDF (193 kb) | CrossRef | PubMed
13. (1997). Electrostatic interactions between transmembrane segments mediate folding of Shaker K+ channel subunits. Biophys. J. 72, 1489–1500. Abstract | | PubMed
14. (1999). The screw-helical voltage gating of ion channels. Proc. R. Soc. Lond. B Biol. Sci. 266, 843–852. PubMed
15. (2005). Voltage gating and anions, especially phosphate: a model system. Biochim. Biophys. Acta 1717, 97–103. PubMed
16. (2005). A possible role for phosphate in complexing the arginines of S4 in voltage gated channels. J. Theor. Biol. 233, 337–341. CrossRef | PubMed
17. (2003). X-ray structure of a voltage-dependent K+ channel. Nature 423, 33–41. CrossRef | PubMed
18. (2004). Computer simulation of the KvAP voltage-gated potassium channel: steered molecular dynamics of the voltage sensor. FEBS Lett. 564, 325–332. CrossRef | PubMed
19. (2002). Close-range electrostatic interactions in proteins. ChemBioChem. 3, 604–617. CrossRef | PubMed
20. (1993). Panning transfected cells for electrophysiological studies. Biotechniques 15, 906–911. PubMed
21. (1994). Visual identification of individual transfected cells for electrophysiology using antibody-coated beads. Biotechniques 17, 876–881. PubMed
22. (2003). Multiple sequence alignment with the Clustal series of programs. Nucleic Acids Res. 31, 3497–3500. CrossRef | PubMed
23. (2000). T-Coffee: a novel method for fast and accurate multiple sequence alignment. J. Mol. Biol. 302, 205–217. CrossRef | PubMed
24. (2000). Chloride channels of glycine and GABA receptors with blockers: Monte Carlo minimization and structure-activity relationships. Biophys. J. 78, 1786–1803. Abstract | Full Text | PDF (1385 kb) | PubMed
25. (1983). Topography of the active site of the noradrenaline neuronal membrane carrier based on the theoretical conformation analysis of inhibitors of neuronal catecholamine uptake. Bioorg. Khim. 9, 200–215. PubMed
26. (1984). A new force field for molecular mechanical simulation of nucleic acids and proteins. J. Am. Chem. Soc. 106, 765–784. CrossRef | PubMed
27. (1985). Structural and energetic effects of truncating long ranged interactions in ionic and polar fluids. J. Chem. Phys. 83, 5897–5908. CrossRef | PubMed
28. (1999). Effective energy function for proteins in solution. Proteins 35, 133–152. CrossRef | PubMed
29. (1987). Monte Carlo-minimization approach to the multiple-minima problem in protein folding. Proc. Natl. Acad. Sci. USA 84, 6611–6615. CrossRef | PubMed
30. (1996). Structural model of a synthetic Ca2+ channel with bound Ca2+ ions and dihydropyridine ligand. Biophys. J. 70, 22–37. Abstract | | PubMed
31. (2000). Monte Carlo-minimized energy profile of estradiol in the ligand-binding tunnel of 17 beta-hydroxysteroid dehydrogenase: atomic mechanisms of steroid recognition. Proteins 38, 414–427. CrossRef | PubMed