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Molecular Pharmacology logoLink to Molecular Pharmacology
. 2015 Aug;88(2):273–280. doi: 10.1124/mol.115.098707

Rotational Symmetry of Two Pyrethroid Receptor Sites in the Mosquito Sodium Channel

Yuzhe Du 1, Yoshiko Nomura 1, Boris S Zhorov 1, Ke Dong 1,
PMCID: PMC4518084  PMID: 25972447

Abstract

Voltage-gated sodium channels are the primary target of pyrethroid insecticides. Although it is well known that specific mutations in insect sodium channels confer knockdown resistance (kdr) to pyrethroids, the atomic mechanisms of pyrethroid-sodium channel interactions are not clearly understood. Previously, computer modeling and mutational analysis predicted two pyrethroid receptors, pyrethroid receptor site 1 (PyR1) (initial) and pyrethroid receptor site 2 (PyR2), located in the domain interfaces II/III and I/II, respectively. The models differ in ligand orientation and the number of transmembrane helices involved. In this study, we elaborated a revised PyR1 model of the mosquito sodium channel. Computational docking in the Kv1.2-based open channel model yielded a complex in which a pyrethroid (deltamethrin) binds between the linker helix IIL45 and transmembrane helices IIS5, IIS6, and IIIS6 with its dibromoethenyl and diphenylether moieties oriented in the intra- and extracellular directions, respectively. The PyR2 and revised PyR1 models explained recently discovered kdr mutations and predicted new deltamethrin-channel contacts. Further model-driven mutagenesis identified seven new pyrethroid-sensing residues, three in the revised PyR1 and four in PyR2. Our data support the following conclusions: 1) each pyrethroid receptor is formed by a linker-helix L45 and three transmembrane helices (S5 and two S6s); 2) IIS6 contains four residues that contribute to PyR1 and another four to PyR2; 3) seven pairs of pyrethroid-sensing residues are located in symmetric positions within PyR1 and PyR2; and 4) pyrethroids bind to PyR1 and PyR2 in similar orientations, penetrating deeply into the respective domain interfaces. Our study elaborates the dual pyrethroid-receptor sites concept and provides a structural background for rational development of new insecticides.

Introduction

Pyrethroid insecticides are used extensively for the control of insect pests and disease vectors involved in the transmission of various human diseases, including malaria and dengue (WHO, 2007). Pyrethroids exert toxic effects by altering the gating of voltage-gated sodium channels (Narahashi, 1986, 1996; Bloomquist, 1996; Soderlund, 2010), which are essential for electrical signaling in the nervous system.

Like mammalian sodium channels, insect sodium channels comprise four homologous domains (I–IV), each having six membrane spanning helical segments (S1–S6) (Catterall, 2012; Dong et al., 2014). Segments S1–S4 in each domain constitute a voltage-sensing module, which is connected through a linker-helix (L45) to a pore-forming module. The pore module is composed of an outer helix S5, a pore-lining inner helix S6, and a membrane–re-entrant P-loop from each domain. The pore module forms a central pore, whereas the four voltage-sensing modules are arranged around the pore module. In response to membrane depolarization, the S4 segments move outward, initiating opening of the activation gate formed by cytoplasmic parts of S6s (i.e., channel activation).

A major threat to the sustained use of pyrethroids in pest and vector control is the development of pyrethroid resistance. A well known mechanism of pyrethroid resistance, knockdown resistance (kdr), is caused by naturally occurring sodium channel mutations (Soderlund, 2005; Davies et al., 2007; Rinkevich et al., 2013; Dong et al., 2014). The emerging pyrethroid resistance demands development of new insecticides. In the absence of X-ray structures of eukaryotic sodium channels, rational development of new pyrethroids can be facilitated by building homology models of insect sodium channels and computational docking of pyrethroids in these models.

The first pyrethroid receptor site model (O'Reilly et al., 2006) was elaborated for the house fly open sodium channel using the X-ray structure of a voltage-gated potassium channel Kv1.2 (Long et al., 2005) as a template. According to this model, pyrethroids bind to the lipid-exposed interface formed by IIL45, which connects the second-domain transmembrane helices IIS4 and IIS5, the outer helix IIS5, and the inner helix IIIS6 (the IIL45-IIS5-IIIS6 triangle model). Hereafter, we refer to this receptor as initial pyrethroid receptor site 1 (PyR1). Recently, we generated a model for a second pyrethroid receptor site, pyrethroid receptor site 2 (PyR2), in which ligands bind between helices IL45, IS5, IS6, and IIS6 (Du et al., 2013). We further suggested that simultaneous binding of pyrethroids to both PyR1 and PyR2 is required to effectively prolong the opening of sodium channels (Du et al., 2013). A common feature of both models is involvement of helices L45 and S5 from one domain in addition to the S6 helix from the neighboring domain. A distinguishing feature of PyR2 is involvement of helix IS6 from the same domain I to which IL45 and IS5 belong. Due to the latter feature, pyrethroids are predicted to bind to PyR2 deeper (farther from lipids) than to initial PyR1 model. Another difference between the initial PyR1 and PyR2 models is the opposite orientation of the bound pyrethroids. In particular, deltamethrin (DMT) is predicted to bind to the initial PyR1 model with its dibromoethenyl and diphenylether moieties oriented in the extra- and intracellular directions, respectively. In contrast, DMT is predicted to bind in PyR2 in a reverse orientation, with dibromoethenyl and diphenylether moieties oriented in the intra- and extracellular directions, respectively.

Earlier we demonstrated that a kdr mutation of valine to glycine (V1023G) in the middle of IIS6 (four positions downstream from the gating-hinge glycine) reduces the sensitivity of the AaNav1-1 sodium channel to pyrethroids (Du et al., 2013). This valine was not indicated as a pyrethroid-sensing residue in the initial PyR1 model (O'Reilly et al., 2006), but it is oriented toward the PyR1, suggesting that IIS6 be part of PyR1. In this work, we explored this possibility by docking DMT into a revised PyR1 model, which includes IIS6. We used our Kv1.2-based homology model of a mosquito sodium channel (Du et al., 2013) to simultaneously dock two DMT molecules to the channel. We propose a model of the sodium channel with two DMT molecules in which one ligand binds to PyR2, as we predicted before (Du et al., 2013), whereas another ligand binds quasisymmetrically to the revised PyR1 model, between the linker helix IIL45 and transmembrane helices IIS5, IIS6, and IIIS6. Dibromoethenyl and diphenylether moieties of both DMT molecules are oriented in the intra- and extracellular directions, respectively. Subsequent model-driven mutagenesis followed by electrophysiological studies unveiled three new pyrethroid-sensing residues in the revised PyR1 model and four in PyR2. The PyR2 and revised PyR1 models display rotational quasi-symmetry around the pore axis and have many common features. Our study provides new insights into the concept of dual pyrethroid receptor sites and forms a structural background for rational development of new pyrethroid insecticides.

Materials and Methods

Computer Modeling

The X-ray structure of the Kv1.2 channel (Long et al., 2005) was used as a template to build the open conformations of the AaNav1-1 channel. Sequence alignment of Kv1.2 and AaNav1-1 channels is shown in Fig. 1. Homology modeling and ligand docking were performed using the ZMM program (www.zmmsoft.com; see Garden and Zhorov, 2010) and Monte Carlo minimization (MCM) protocol (Li and Scheraga, 1987), as described in our previous study (Du et al., 2013). Molecular images were created using the PyMol Molecular Graphics System, version 0.99rc6 (Schrödinger, New York, NY).

Fig. 1.

Fig. 1.

Aligned sequences of Kv1.2 and AaNav1-1 channels indicating residues that are predicted to contribute to PyR1 or PyR2 or control ligand access to PyR1 or PyR2. PyR1 residues are highlighted, and PyR2 residues are underlined. Substitutions of these residues have been tested experimentally previously or in this study (Table 1).

Homology models of heterotetrameric asymmetric eukaryotic sodium channels are not expected to be as precise as X-ray structures of homotetrameric symmetric ion channels. Therefore, an apparent global minimum found through unbiased hands-free docking of a highly flexible ligand, like pyrethroids, is unlikely to correspond to the real structure of the ligand-channel complex. A solution to this problem is a biased docking of ligands to ligand-sensing residues, which are known from experiments. The biased docking involves distance constraints between a ligand and ligand-sensing residues. When a specific ligand-channel distance in the model exceeds the upper distance constraint limit (which is usually set to 4–5 Å), a large energy penalty is added to the model energy. An MCM protocol modifies the model geometry and minimizes the penalty simultaneously with other energy terms, including van der Waals and electrostatic interactions. The distance constraints are considered to be satisfied when the constraints energy reaches zero. Further MCM steps optimize the ligand-channel interactions. To preclude large deviations of the channel backbones from the X-ray templates (and thus preserve the channel folding), another set of distance constraints (pins) is set between matching α carbons in the template and the model. A pin constraint is a flat-bottom parabolic energy function that allows an atom (in this study, an α carbon) to deviate penalty free of up to 1 Å from the template and imposes a penalty of 10 kcal mol−1 Å−1 for larger deviations. The pin constraints are necessary because the initial relaxation of an unconstrained homology model with a large ligand would cause significant deviations of the model backbones from the template due to steric clashes between the ligand and the protein.

Mutational data do not reveal specific atom-atom interactions between a ligand and a mutated side chain. Therefore, during ligand docking we used ligand–side chain constraints. Each such constraint specifies a ligand, a residue in the protein, and the targeted distance between the ligand and the residue side chain, which was set to 5 Å. Each constraint instructed the ZMM program to choose a closest pair of atoms between the ligand and specific side chain and apply a distance constraint to these atoms. The closest pairs of atoms are selected in the beginning of each energy minimization, thus allowing modification of atom-atom constraints during the MCM search for the apparent global minimum.

To overcome the problem of different residue numbers in homologous positions of sodium channels in different organisms and to highlight symmetric locations of residues in different channel domains, we used a residue-labeling scheme, which is universal for P-loop channels (Zhorov and Tikhonov, 2004; Du et al., 2013). A residue label includes the domain number (1–4), segment type (k, the linker-helix L45; i, the inner helix S6; and o, the outer helix S5), and relative number of the residue in the segment (see Fig. 1).

Site-Directed Mutagenesis

We used a mosquito sodium channel, AaNav1-1, from Aedes aegypti to generate all mutants used in this study. Site-directed mutagenesis was performed by polymerase chain reaction using Pfu Turbo DNA polymerase (Stratagene, La Jolla, CA). All mutagenesis results were confirmed by DNA sequencing.

Expression of AaNav Channels in Xenopus Oocytes and Electrophysiology

Procedures for preparation of oocytes and cRNA and injection were identical to those described previously (Tan et al., 2005). Methods and data analysis for two-electrode voltage clamp recording of sodium currents and measurement of tail currents induced by pyrethroids were identical to those previously described (Tatebayashi and Narahashi, 1994; Tan et al., 2005). All experiments were performed at room temperature. Sodium currents were measured with an OC725C oocyte clamp (Warner Instruments, Hamden, CT) and a Digidata 1440A interface (Axon Instruments, Foster City, CA), pCLAMP 10.2 software (Axon Instruments) was used for data acquisition and analysis.

Statistical Analysis.

Results are reported as mean ± S.E.M. Statistical significance was determined by using one-way analysis of variance with Scheffe’s post hoc analysis, and significant values were set at P < 0.05.

Chemicals.

DMT was provided by R. Nauen (Bayer CropScience AG, Monheim, Germany). Permethrin (PMT) was purchased from ChemService (West Chester, PA). Pyrethroids were dissolved in dimethylsulfoxide in a 100 mM stock. The working concentrations were prepared in ND96 recording solution immediately prior to experiments. The concentration of dimethylsulfoxide in the final solution was <0.5%, which had no effect on the function of sodium channels.

Results

Docking Two Deltamethrin Molecules in the AaNav1-1 Channel Model.

As a starting point, we used our AaNav1-1 model with DMT bound to PyR2 (Du et al., 2013). In this model, the dibromoethenyl and diphenylether moieties of DMT are oriented, respectively, in the intra- and extracellular directions, whereas the bulky, rigid dimethylcyclopropane fragment fits between helices IL45, IS5, IS6, and IIS6 (Fig. 2A). We placed the second DMT molecule between helices IIL45, IIS5, IIS6, and IIIS6 (Fig. 2B) and set the ligand starting conformation and orientation as for DMT in PyR2. We further imposed two ligand–side chain distance constraints involving most separated PyR1 residues, L2k7 (Usherwood et al., 2007) and V2i18 (Du et al., 2013), and performed three stages of MCM. In the first stage, the channel backbones and the ligands’ bond angles were kept rigid to avoid their large deformations due to very strong repulsion with the ligand that was manually placed into PyR1. At the second stage, all the torsional and bond angles were allowed to vary, but pins and the ligand–side chain constraints were preserved. This stage yielded a low-energy structure in which the distance constraints were satisfied and both DMT molecules had only attractive (negative-energy) interactions with the channel residues. In the third stage, all the constraints were removed. The energy further decreased, whereas the DMT-channel geometry changed insignificantly. In particular, none of the α carbons deviated more than 1.5 Å from the respective template positions.

Fig. 2.

Fig. 2.

Kv1.2-based model of the open AaNav1-1 channel pore module with two DMT molecules docked into PyR2 and revised PyR1 sites. Helices in domains I, II, III, and IV are shown by pink, yellow, green, and gray ribbons, respectively. Known pyrethroid-sensing residues are shown as sticks. (A) Side view of the PyR2 model along helix IIS6. (B) Side view of the PyR1 model along helix IIIS6. (C and D) Side and cytoplasmic views of the AaNav1-1 channel model with two DMT molecules (space-filled). (E and F) PyR2 and PyR1 models in which residues that control access of the ligands to the receptors are shown by semitransparent surfaces. Note the deep location of DMT molecules in the domain interfaces. Significant “breathing” of the channel backbones and conformational flexibility of the residues that control the access of pyrethroid ligands from the membrane to their receptors are necessary for pyrethroid binding.

The ternary complex of AaNav1-1 with two DMT molecules is shown in Fig. 2, C and D. Both ligands bind into respective domain interfaces and interact with the channel residues, many of which are in symmetric positions (Fig. 1). Orientation of the two DMT molecules, which are bound to PyR2 and revised PyR1 models, is similar, but not identical (Fig. 2, A and B). Both DMT molecules bind deeply in domain interfaces (Fig. 2, C, E, and F), whereas their terminal aromatic rings approach the inner pore without blocking the ion permeation (Fig. 2D). A total of two linker helices (L45) and five transmembrane helices (S5 and S6) contributes to PyR1 and PyR2. Among these only IIS6 is a part of both receptor sites, contributing four residues to PyR1 and six residues to PyR2 (Fig. 2D). One face at the extracellular half of IIS6 contributes to PyR2, whereas the opposite face in the intracellular half of the helix contributes to PyR1 (Fig. 2D). The only exception is the pore-facing residue F2i22 that is close to the terminal aromatic rings of the ligands bound to PyR1 and PyR2 (Fig. 2D). In both ligands, the bulky dimethylcyclopropyl moiety fits in the kink region between a linker helix L45 and the outer helix S5. The nitrile group approaches a conserved asparagine in position i20 (S6) and its putative open-state H-bonding partner in position i29 of the preceding domain (Tikhonov et al., 2015). The predictability of our model was tested by mutational analysis, as described below.

Mutational Analysis Confirmed New Pyrethroid-Sensing Residues in PyR1 and PyR2.

Our model of the AaNav1-1 sodium channel with DMT molecule bound to PyR1 is consistent with published experimental data, which describe pyrethroid-sensing residues L2k7, M2k11, L2o6, V2i18, F3i13, F3i16, F3i17, and N3i20 (see Fig. 3; Table 1; and references therein). Among these eight previously known contributors to PyR1, mutations of five residues have been identified in pyrethroid-resistant populations as kdr mutations, as follows: M2k11T, L2o6I, V2i18G, F3i13C, and F3i17I (Guerrero et al., 1997; He et al., 1999; Morin et al., 2002; Brengues et al., 2003; Kawada et al., 2009). Our PyR2 model (Du et al., 2013) described five pyrethroid-sensing residues (I1k7, V1k11, L1i18, I2i13, and L2i16), and intensive MCM of the channel model with two DMT molecules did not reveal any conflict between the ligands bound to PyR1 and PyR2, thus confirming our PyR2 model (Du et al., 2013).

Fig. 3.

Fig. 3.

Topology of the AaNav1-1a sodium channel. (A) Pyrethroid-sensing residues are indicated for PyR1 (open circles) and PyR2 (gray circles), respectively. Mutations that are detected in pyrethroid-resistant field populations are underlined. (B) Mutations tested in our study. Previously discovered kdr mutations are underlined. Open and solid circles indicate mutations within or nearby PyR1 and PyR2, respectively.

TABLE 1.

Effects of mutations within the two pyrethroid receptor sites on the action of DMT and PMT

Symbols ↓, ↑, and ≈ indicate decrease, increase, or insignificant change of the ligand potency, respectively.

PyR1
PyR2
Mutant Ref.a DMT PMT Mutant Ref.a DMT PMT
L2k7F/I 1 ↓/↓ ≈ /↑ I1k7A 3
M2k11T 1 V1k11A 3
S1o2A 5
L2o6I 1 L1o6I/A 3,5 ↑/≈ ≈/↑
T2o10I 1 I1o10C 3
L2o13F 1 T1o13W 3
C2o14A 1
V2i18G 3 L1i18G 3
F2i22Sb 5 I1i22A 5
L2i25A 5 I1i25A 5
L2i26A 5
S1i29A 5
I3i12A 2 V2i12A/L 5 ≈/↑ ↑/↑
F3i13C 3 I2i13M 3
S3i15A 2 N2i15S 5
F3i16A 2 L2i16F/S 3 ↓/↓ ↓/↓
F3i17I 4
N3i20A 2 N2i20A 5
a

References: 1 (Usherwood et al., 2007); 2 (Du et al., 2009); 3 (Du et al., 2013) and references therein; 4 (Tan et al., 2005); and 5, this study (Figs. 3B and 4).

b

F2i22 contributes to both PyR1 and PyR2.

Importantly, the analysis of the channel model with two DMT molecules revealed 10 residues that interact with the bound ligands (Fig. 3), but have not been previously described as components of PyR1 or PyR2. These 10 residues include three residues in PyR1 (F2i22, L2i25, and L2i26) and seven residues in PyR2 (S1o2, L1o6, I1i22, I1i25, S1i29, N2i15, and N2i20). Mutations of three of the 10 residues, N2i15S, F2i22S, and L2i26A, have been previously associated with pyrethroid resistance: N2i15S from Anopheles sinensis (Tan et al., 2012); F2i22S from Blattella germanica (Pridgeon et al., 2002) and Plutella xylostella (Endersby et al., 2011); and L2i26V from Tetranychus urticae (Kwon et al., 2010). We mutated the 10 pyrethroid-sensing residues in PyR1 and PyR2, as well as some residues beyond PyR1 and PyR2 and explored the actions of DMT and PMT on the mutants. For known kdr mutants, we tested the amino acid substitutions identified in resistant insects (e.g., F2i22S), whereas for new model-predicted pyrethroid-sensing residues we evaluated alanine substitutions.

A total of 17 single mutants and two double mutants of the AaNav1-1 channel was investigated. All mutant channels generated sufficient sodium currents in Xenopus oocytes for further functional analysis. With only a few exceptions, most mutant channels showed insignificant changes in gating properties (voltage dependence of activation and fast inactivation) when compared with wild-type channels (Table 2). However, channels incorporating the L1o6A mutation displayed dramatic hyperpolarizing shifts in the voltage dependence of both activation and inactivation. In addition, mutations I1i25A and L2i26A each caused hyperpolarizing shifts (∼14 and 10 mV, respectively) in the voltage dependence of inactivation in AaNav1-1 channels (Table 2).

TABLE 2.

Voltage dependence of activation and inactivation of mosquito sodium channels

The voltage dependences of conductance and inactivation were fitted with a two-state Boltzmann equation to determine V1/2, the voltage for half-maximal conductance or inactivation, and k, the slope factor for conductance or inactivation. The values in the table represent the mean ± S.E.M., and the number of oocytes was 6–16. The asterisks indicate significant differences as determined by one-way analysis of variance (P < 0.05) with Scheffe’s post hoc analysis.

Na+ Channel Type Activation
Inactivation
V1/2 (mV) k (mV) V1/2 (mV) k (mV)
AaNav1-1 −29.2 ± 0.8 5.2 ± 0.3 −52.9 ± 0.4 4.9 ± 0.2
G1K9A −32.6 ± 1.2 5.0 ± 0.2 −51.9 ± 0.4 4.8 ± 0.1
G1K9I −32.8 ± 1.4 6.3 ± 0.6 −52.8 ± 1.2 4.6 ± 0.2
I1k12N −33.8 ± 0.9 5.1 ± 0.4 −51.8 ± 0.6 4.6 ± 0.1
I1k12N+ G1K9A −30.2 ± 1.0 5.5 ± 0.3 −55.5 ± 0.8 4.8 ± 0.3
I1k12N+ G1K9I −30.4 ± 0.5 6.2 ± 0.2 −55.5 ± 1.1 5.1 ± 0.2
S1o2A −32.9 ± 0.2 5.1 ± 0.1 −54.0 ± 0.4 4.5 ± 0.1
N1o5A −33.5 ± 0.8 4.5 ± 0.2 −52.1 ± 0.6 4.5 ± 0.1
1o6A −50.5 ± 1.8* 6.1 ± 0.6 −64.7 ± 0.7* 6.4 ± 0.3
R1o7A −31.0 ± 0.6 5.1 ± 0.3 −53.9 ± 0.7 5.1 ± 0.1
I1i22A −34.3 ± 1.1 5.5 ± 0.4 −52.9 ± 0.5 5.0 ± 0.1
I1i25A −30.0 ± 0.8 7.0 ± 0.6 −67.5 ± 0.8* 5.0 ± 0.1
S1i29A −33.0 ± 0.8 5.5 ± 0.4 −54.8 ± 0.5 5.1 ± 0.1
V2i12A −26.7 ± 0.7 5.6 ± 0.4 −53.5 ± 0.8 5.5 ± 0.1
V2i12L −32.7 ± 0.8 5.5 ± 0.1 −50.9 ± 0.5 4.8 ± 0.1
N2i15S −28.8 ± 1.3 5.1 ± 0.1 −52.9 ± 1.4 4.9 ± 0.2
N2i20A −30.8 ± 0.6 5.4 ± 0.2 −58.7 ± 0.5 5.3 ± 0.1
F2i22S −30.7 ± 0.9 5.3 ± 0.7 −51.3 ± 0.9 4.7 ± 0.1
L2i25A −28.5 ± 0.8 5.9 ± 0.3 −51.5 ± 0.8 4.8 ± 0.1
L2i26A −31.7 ± 1.1 7.2 ± 0.4 −63.1 ± 1.2* 6.0 ± 0.4

To evaluate channel sensitivity to pyrethroids, the percentage of sodium channels modified by DMT or PMT was determined by the method developed by Tatebayashi and Narahashi (Tatebayashi and Narahashi, 1994). Results of these experiments are shown in Fig. 4. We observed strong reduction of sensitivity with mutation of three residues within PyR1 (F2i22S, L2i25A, and L2i26A) and four within PyR2 (S1o2A, I1i22A, S1i29A, and N2i15S) to both DMT and PMT. These results confirm the model-predicted pyrethroid-sensing residues in both PyR1 and PyR2 models. In particular, our experiments confirmed that the revised PyR1 model includes helix IIS6, which was not a part of the initial PyR1 model (O'Reilly et al., 2006).

Fig. 4.

Fig. 4.

Pyrethroid sensitivity of AaNav1-1 and its mutants. Percentage of the channel modification by 1.0 μM DMT (A) or 1.0 μM PMT (B) was determined by the method of Tatebayashi and Narahashi (1994). The number of oocytes for each mutant construct was >5. Error bars indicate mean ± S.E.M. The asterisks indicate significant difference from the AaNav1-1 channel as determined by using one-way analysis of variance with Scheffé's post hoc analysis, and significant values were set at P < 0.05. Representative tail current traces from AaNav1-1 channels in the presence of 0.1 μM and 1.0 μM DMT or PMT, and the most resistant mutant channel, L2i25A, in the presence of 1.0 μM and 10 μM DMT or PMT is shown below the histograms. The caption for the PDB file: Kv1.2-based model of the open AaNav1-1 channel pore module with two DMT molecules in the PyR2 and revised PyR1 sites.

Our data show generally similar effects of mutations on the action of DMT and PMT (Fig. 4), suggesting that both ligands bind rather similarly to respective receptor sites. It should be noted that mutational analysis cannot demonstrate specific interactions of individual DMT moieties with individual chemical groups of the mutated residues. Therefore, we refrained in this study from docking PMT to PyR1 or PyR2. Our model of the channel with PMT bound to PyR2 is available elsewhere (Du et al., 2013). An approach to address the challenging problem of atomic details of ligand-channel interactions should involve exploration of action of different pyrethroids on different mutants. This massive task is beyond the goal of our current study.

Effect of Mutations beyond PyR1 and PyR2.

Residues N1o5 and R1o7 are located around the predicted PyR2, but do not interact with pyrethroids in our model. In agreement with the model, mutations N1o5A and R1o7A had but small effects on the action of pyrethroids (Fig. 4).

Glycine G1k9 in the IL45 helix is conserved in insect and mammalian sodium channels (Du et al., 2013). In our model, G1k9 is exposed to the cytoplasm and may interact with a cytoplasmic part of the channel through a knob-into-hole contact. We expressed mutants G1k9A and G1k9I and found that they substantially decreased the channel sensitivity to pyrethroids (Fig. 4). We further expressed and tested two double mutations (G1k9A + I1k12N and G1k9I + I1k12N), but did not find any synergistic effects of the mutations on the pyrethroid action (Fig. 4).

Discussion

Common and Unique Features of the Initial and Revised PyR1 Models.

The pioneering PyR1 model for the housefly sodium channel (O'Reilly et al., 2006) and Drosophila sodium channel (Usherwood et al., 2007) and the revised PyR1 model elaborated in this study for the AaNav1-1 channel have several common features. These include the location of the receptor site in the II/III domain interface, extended conformation of the receptor-bound DMT, and direct contacts of DMT with seven experimentally determined pyrethroid-sensing residues in helices IIL45 (M2k11), IIS5 (L2o6, T2o10, and L2o13), and IIIS6 (F3i13, F3i16, and F3i17). However, there are four main differences between the initial and revised PyR1 models. First, in the initial model, DMT binds at the protein surface and interacts with three helices (IIL45, IIS5, and IIIS6), whereas in our revised model DMT binds deeply in the domain interface (Fig. 2F) and interacts with four helices (IIL45, IIS5, IIS6, and IIIS6). Second, dibromoethenyl and diphenylether moieties of DMT bound in the initial PyR1 model are oriented in the extra- and intracellular directions, respectively, whereas in the revised PyR1 model these moieties are oriented in the reversed way. Third, in the initial PyR1 model, DMT interacts with C2o14 in the middle part of IIS5 (Usherwood et al., 2007), whereas in the revised PyR1 model C2o14 is rather far from the ligand. Finally, in the revised PyR1 model, DMT interacts with L2k7 in the middle part of the IIL45 helix, whereas, in the original PyR1 model, this residue appears far from the ligand.

Some features of the revised DMT-bound PyR1 model were predetermined by the fact that we imposed two distance constraints to direct dibromoethenyl and diphenylether moieties toward L2k7 and V2i18, respectively. These constraints forced DMT to adopt in PyR1 orientation analogous to that of PyR2-bound DMT whose dibromoethenyl and diphenylether moieties interact with I1k7 and L1i18, respectively. Such orientation of the bound DMT was found optimal in the systematic exploration of different possibilities in modeling PyR2 (Du et al., 2013). The above two distance constraints biased overall orientation of DMT in PyR1 in only the first stage of MCM docking, whereas all specific DMT-PyR1 contacts were found in the subsequent stages of MCM docking that did not involve any ligand-channel distance constraints. It should also be noted that the initial PyR1 model was built based on experimental data available by 2006, whereas our revised PyR1 model was built using experimental data available as of 2014 (Fig. 3).

Some Mutations within PyR1 and PyR2 Increased the Potency of Pyrethroids.

Usually substitutions of pyrethroid-sensing residues decrease potency of pyrethroids, but there are intriguing exceptions. In our experiments, mutations V2i12A and V2i12L within PyR2 did not decrease potency of either PMT or DMT, but appear to slightly increase potency of both PMT and DMT (Fig. 4; Table 1). In our PyR2 model, V2i12 is exposed toward I1o10 (Fig. 2E), and both residues may control the DMT access to PyR2. In earlier experiments, we found similar effects of increasing DMT and PMT potency in the analogous I3i12A mutation in PyR1 of the cockroach sodium channel (Du et al., 2009). In our revised PyR1 model, I3i12, like V2i12, extends toward T2o10, and both residues may control access of DMT to PyR1 (Fig. 2F). Alanine substitutions of the bulky β-branched residues I3i12 or V2i12 could widen the access path for pyrethroids from the membrane to reach the receptors and thus increase, rather than decrease, the channel sensitivity to pyrethroids. Substitution of the β-branched V2i12 by a bigger, but more flexible leucine may also facilitate the ligand access to PyR2, and our data are consistent with this proposition (Fig. 4). The opposite leafs of the gates that separate PyR1 and PyR2 from lipids contain β-branched T2o10 and I1o10, respectively. We are not aware of alanine substitutions of these residues, but substitutions T2o10I or I1o10C by bigger residues decrease the ligands potency (Table 1), which may be explained in our models of PyR1 and PyR2 by a more restricted access path for pyrethroids from the membrane to their receptors.

V2i12A and V2i12L are putative kdr mutations in PyR2, which are found to coexist with kdr mutations M2k11L and L2i16S in pyrethroid-resistant populations of Thrips tabaci (Wu et al., 2014) and Anopheles culicifacies (Singh et al., 2010). Importantly, M2k11L and L2i16S significantly reduce channel sensitivity to pyrethroids (Table 1), and we suggest that the double mutations may have synergistic effects due to decreasing the ligand-channel interactions and facilitating the ligand egress from PyR1 and PyR2. Another residue that may control access of pyrethroids to PyR2 is C2o14. Mutation C2o14A decreases potency of DMT, but increases potency of PMT (Table 1). In our model, C2o14 is rather far from PyR1-bound DMT, but it interacts with T2o10 and thus may indirectly control access of pyrethroids to PyR1 (Fig. 2F).

How Can Mutations beyond PyR1 and PyR2 Affect Action of Pyrethroids?

Many known kdr mutations are located beyond the PyR1 and PyR2 sites. Some kdr mutations are found around PyR1 and PyR2, but respective residues do not interact with DMT molecules in our model. One mutation, I1k12N, was found in pyrethroid-resistant Drosophila melanogaster (Pittendrigh et al., 1997). We expressed the I1k12N mutant in oocytes and found significant reduction in the pyrethroid sensitivity of I1k12N mutant channels (Rinkevich et al., 2015). In our model, I1k12 is located at the face of the IL45 helix, which is opposite to the face that contains pyrethroid-sensing residues L1k7 and V1k11. Simultaneous binding of DMT to L1k7, V1k11, and I1k12 would be possible only if the ligand wraps around the linker-helix IL45 or if segment IL45 has a nonhelical secondary structure. The first scenario is inconsistent with all the published models of pyrethroid binding, whereas the second scenario is inconsistent with the X-ray structures of sodium and potassium channel where the L45 helices are resolved. This implies an allosteric effect of the I1k12N mutation on the pyrethroid action. Possible mechanisms could be certain deformation of the helical structure of the IL45 linker by I1k12N or disruption of interaction of the linker with hydrophobic residues at a cytoplasmic part of the channel, which is beyond our model.

Rotational Symmetry of PyR1 and PyR2.

Figure 2, C and D, illustrates rotational symmetry of PyR1 and PyR2. Thus, clockwise rotation by 90° of the cytoplasmic view (Fig. 2D) would put PyR1 in place of PyR2. To some extent, the symmetric disposition of ligands in PyR1 and PyR2 was imposed due to the biased docking of DMT to L2k7 and V2i18. However, the docking predicted three new residues in PyR1 (F2i22, L2i25, and L2i26), and mutational analysis confirmed these predictions (Fig. 4). The symmetric positions of pyrethroid-sensing residues in PyR1 and PyR2 are also illustrated in Table 1 and Fig. 1. Figure 1 highlights pyrethroid-sensing residues that, according to mutational analysis, contribute to PyR1 (bold and highlighted) and PyR2 (bold and underlined). A total of 11 residues in PyR1 has matches in PyR2 (Table 1), and the majority of residues in these matching positions are hydrophobic, but structurally different amino acids.

Mutational analysis also confirmed several new pyrethroid-sensing residues in PyR2 (Fig. 4). Of course, the symmetry of PyR1 and PyR2 is not ideal due to sequence differences of the four channel repeat domains. For example, we observed a significant decrease in the potency of DMT and PMT in the kdr mutant N2i15S. In our model, N2i15 is close to the terminal phenyl ring of PyR2-bound DMT (Fig. 2A). Mutation S3i15A in the matching position of PyR1 has only a small effect on the DMT and PMT action (Du et al., 2009). This is consistent with our model in which the small side chain of S3i15 is farther from PyR1-bound DMT than the side chain of N2i15 from the PyR2-bound DMT.

Mutation L2o6I in PyR1 decreases the sensitivity of sodium channels to DMT and PMT, whereas mutations L1o6I/A in the matching position of PyR2 had no effect on pyrethroid sensitivity (Table 1). Our model predicts that L2o6 and L1o6 control the ligand access to PyR1 and PyR2, respectively (Fig. 2, E and F), and also directly interact with the receptor-bound pyrethroids. The combined effects of these two factors may depend on peculiarities of the amino acid substitutions. In addition, mutation L2i25A in PyR1 was very resistant to both DMT and PMT, whereas mutation I1i25A in the matching position of PyR2 had no effect on the action of pyrethroids (Table 1). The cause of this asymmetry is less clear.

In our model, the nitrile groups of DMT molecules approach conserved asparagines N3i20 in PyR1 and N2i20 in PyR2 (Fig. 2, A and B). These asparagines are predicted to form interdomain H-bonds with polar residues in positions 2i29 and 1i29, respectively (Tikhonov et al., 2015). Mutation N3i20A in PyR1 decreases sensitivity of the cockroach sodium channel to pyrethroids (Du et al., 2009). Mutation N2i20A in PyR2 did not change the channel sensitivity to pyrethroids, but mutation S1i29A of the putative H-bonding partner of N2i20 did (Fig. 4), implying that the nitrile group of PyR2-bound DMT is closer to S1i29 than to N2i20.

Conclusions.

In this study, we further elaborated the dual-pyrethroid receptor paradigm by creating an atomic model of the mosquito sodium channel with two DMT molecules bound to two different receptors, PyR1 and PyR2, and performing model-driven mutagenesis in PyR1 and PyR2. Our models and experimental data predict a significant degree of rotational symmetry between the two pyrethroid receptor sites, although with subtle differences. In conjunction with findings from previous studies, our results suggest that simultaneous binding of pyrethroids to two receptor sites in the pore module of the insect sodium channel may be necessary to effectively lock the channel in the open state.

Supplementary Material

Data Supplement

Acknowledgments

The authors thank Dr. Kris Silver for critical review of this manuscript. Computations were performed using the facilities of the Shared Hierarchical Academic Research Computing Network (www.sharcnet.ca).

Abbreviations

DMT

deltamethrin

kdr

knockdown resistance

MCM

Monte Carlo minimization

PMT

permethrin

PyR1

pyrethroid receptor site 1

PyR2

pyrethroid receptor site 2

Authorship Contributions

Participated in research design: Zhorov, Dong.

Conducted experiments: Du, Nomura, Zhorov.

Performed data analysis: Du, Nomura, Zhorov.

Wrote or contributed to the writing of the manuscript: Du, Zhorov, Dong.

Footnotes

This work was supported by the National Institutes of Health National Institute of General Medical Sciences [Grant R01-GM057440] and the Natural Sciences and Engineering Research Council of Canada [Grant RGPIN-2014-04894].

K.D. and B.S.Z. are joint senior authors.

Inline graphicThis article has supplemental material available at molpharm.aspetjournals.org.

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