Tobias Linder1, Shizhen Wang2, Eva-Maria Zangerl-Plessl1, Colin G Nichols2, Anna Stary-Weinzinger1. 1. †Department of Pharmacology and Toxicology, University of Vienna, 1090 Vienna, Austria. 2. ‡Center for Investigation of Membrane Excitability Diseases, Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, Missouri 63110, United States.
Abstract
Prokaryotic inwardly rectifying (KirBac) potassium channels are homologous to mammalian Kir channels. Their activity is controlled by dynamical conformational changes that regulate ion flow through a central pore. Understanding the dynamical rearrangements of Kir channels during gating requires high-resolution structure information from channels crystallized in different conformations and insight into the transition steps, which are difficult to access experimentally. In this study, we use MD simulations on wild type KirBac1.1 and an activatory mutant to investigate activation gating of KirBac channels. Full atomistic MD simulations revealed that introducing glutamate in position 143 causes significant widening at the helix bundle crossing gate, enabling water flux into the cavity. Further, global rearrangements including a twisting motion as well as local rearrangements at the subunit interface in the cytoplasmic domain were observed. These structural rearrangements are similar to recently reported KirBac3.1 crystal structures in closed and open conformation, suggesting that our simulations capture major conformational changes during KirBac1.1 opening. In addition, an important role of protein-lipid interactions during gating was observed. Slide-helix and C-linker interactions with lipids were strengthened during activation gating.
Prokaryotic inwardly rectifying (KirBac) potassium channels are homologous to mammalian Kir channels. Their activity is controlled by dynamical conformational changes that regulate ion flow through a central pore. Understanding the dynamical rearrangements of Kir channels during gating requires high-resolution structure information from channels crystallized in different conformations and insight into the transition steps, which are difficult to access experimentally. In this study, we use MD simulations on wild type KirBac1.1 and an activatory mutant to investigate activation gating of KirBac channels. Full atomistic MD simulations revealed that introducing glutamate in position 143 causes significant widening at the helix bundle crossing gate, enabling water flux into the cavity. Further, global rearrangements including a twisting motion as well as local rearrangements at the subunit interface in the cytoplasmic domain were observed. These structural rearrangements are similar to recently reported KirBac3.1 crystal structures in closed and open conformation, suggesting that our simulations capture major conformational changes during KirBac1.1 opening. In addition, an important role of protein-lipid interactions during gating was observed. Slide-helix and C-linker interactions with lipids were strengthened during activation gating.
Inwardly rectifying potassium (Kir) channels
are intrinsic membrane
proteins that control the selective permeation of potassium ions across
otherwise ion impermeable cell membranes. The primary role of Kir
channels is the regulation of outward directed K+ current.
Under physiological conditions, Kir channels generate a large inward
K+ conductance at potentials negative to the equilibrium
potential of potassium (EK) but permit
less outward current flow at potentials positive to EK. These channels are regulated by many different cellular
factors such as ATP, intracellular pH, phosphatidylinositol-4,5-bisphospate
(PIP2), and nonspecific secondary anionic phospholipids.[1−3] In particular, lipid modulators such as PIP2, as well
as cholesterol, have been shown to regulate bacterial and eukaryotic
Kir channels. Remarkably, while cholesterol has been suggested to
inhibit both pro- and eukaryotic Kir channels, the effect of PIP2 is opposite. Namely, while PIP2 is essential for
activation of eukaryotic Kir channels, bacterial channels such as
Kirbac1.1 have been shown to be inhibited by this phospholipid.[4−7]Over the last 10 years, several Kir crystal structures of
the cytoplasmic
domain as well as several full length structures of prokaryotic and
eukaryotic channels have been published.[8−18] Interestingly, prokaryotic homologues, share similar architecture
and have functional activity with eukaryotic channels,[19] despite only moderate sequence conservation
on the amino acid level. All Kir channels undergo dynamical changes
to regulate ion flow. This process, referred to as “gating”,
involves structural rearrangements of the transmembrane (TM) as well
as the cytoplasmic domains (CTD). In the closed conformation, ion
flux is prevented by a narrowing of the inner TM2 helices, which form
a constriction site at the helix bundle crossing (HBC) gate close
to the intracellular side (see Figure 1). Computational
studies on KirBac1.1 channel models provided insights into ion selectivity
and gating dynamics.[20−24] A limitation of all these studies was the lack of open state X-ray
structures. In 2012, the first X-ray structure of a bacterial Kir
channel in a presumably open conformation was crystallized, using
a known activatory “gain-of-function” mutant.[16] Comparison of this open structure with various
Kir channels in closed conformation[13] provides
insights into gating induced changes of these channels. In the open
structure, global conformational changes are observed, including a
rotational movement of the CTD relative to the plane of the membrane;
in addition, a bending of the TM2 at a highly conserved glycine opens
the HBC gate. The sequential process of gating events remains a major
open question. Especially, the cross-talk between TM and CT domains
and how this leads to channel opening is still unknown. To investigate
these events, we performed MD simulations on the KirBac1.1 channel,
for which only closed state X-ray structures are available.[13]
Figure 1
G143Ed location and induced channel opening. (A) Position
of F146 (yellow) forming the helix bundle crossing gate and the introduced
G143Ed mutant (orange). For clarity, only two opposing
subunits are shown. (B) G143E is located in a tightly packed hydrophobic
pocket formed by Y52 (slide-helix), F146 (yellow), L140, L144, and
A147 (all four located in the TM2) of the same subunit (SU, colored
gray) and V145, F146 (yellow), and F149 of the adjacent TM2 (colored
light blue). (C) Averages of F146 Cα–Cα distances
in WT and G143Ed simulations are shown as blue and green
lines, respectively. Standard deviations are depicted as light shades
accordingly. (D) Superposition of the TM2 helices of the open KirBac3.1
structure (pdb identifier: 3ZRS, shown in ocher) and the G143Ed mutant
(final state, shown in green). The Cα atoms of F146 (KirBac1.1)
and the equivalent Y132 (KirBac3.1) are shown as green and ocher spheres.
Methods
Molecular Dynamics Simulations
The closed (pdb identifier: 2WLL) crystal structure,[13] comprising residues 38 to 308, was used as starting
point for MD simulations. The G143E mutant in protonated and deprotonated
conformations and the R153A mutant were generated with the software
Swiss-PdbViewer.[25] pKa values for all titratable amino acid side chains were calculated
with PROPKA.[69] The structures were embedded
in an equilibrated membrane consisting of 256 palmitoyloleoylphosphatidylcholine
(POPC) lipids using the g_membed tool,[26] which is part of the gromacs package. K+ ions were placed
in the SF at K+ sites S0, S2, and S4 with waters placed
at S1 and S3.[27] Cl– ions
were added randomly within the solvent to neutralize the system. All
simulations were carried out using the gromacs simulation software
v.4.5.4.[28] The amber99sb force field[29] and the TIP3P[30] water
model were employed for the protein and water, respectively. Lipid
parameter for the POPC membrane were taken from Berger et al.[31,32] The corrected monovalent ion Lennard-Jones parameters for the amber
force field were used.[33] Electrostatic
interactions were calculated at a distance smaller than 1.0 nm, long-range
electrostatic interactions were treated by the particle-mesh Ewald
method at every step.[34] Lennard-Jones interactions
were calculated with a cut off of 1.0 nm. The LINCS algorithm[35] was used to constrain bonds. Modeling hydrogens
as virtual sites[36] allowed for an integration
step of 4 fs.[28] The Nose-Hoover thermostat[37,38] was used to keep simulation temperature constant by coupling (tau
= 0.2 ps) the protein, lipids and solvent (water and ions) separately
to a temperature bath of 310 K. Likewise, the pressure was kept constant
at 1 bar by using the Parrinello–Rahman barostat algorithm[39] with a coupling constant of 1 ps. Prior to simulation,
1000 conjugate gradient energy-minimization steps were performed,
followed by 5 ns of equilibrium simulation in which the protein atoms
were restrained by a force constant of 1000 kJ mol–1 nm–2 to their initial position. Lipids, ions,
and water were allowed to move freely during equilibration. Four times
200 ns MD simulations were performed for the full length WT channel
as well as the G143Ed, G143Ep, and G143Ed-R153A mutant channels.
Salt Bridge Analysis
Electrostatic interactions were
analyzed by measuring the center of mass distances between positively
and negatively charged functional groups of amino acids. A distance
cut off of 6 Å was set which represents three different types
of ion pair interactions, namely salt bridge, N–O bridge, and
long-range ion pair[40] which are all referred
to as “salt bridges” in this study. The occurrence of
interaction is normalized to the most prominent electrostatic interaction
in the protein (R193 and E187 of adjacent SU in WT simulations). Interaction
partners that contributed more than 1% to the total electrostatic
interactions in the protein are plotted in the star graphs.
Calculation
of the Rotational Angle of the CTD
Measuring
the changes in the angle between TM and CTD was done by calculating
the torsion angle between two planes. The first plane was assigned
to three points: the center of mass of the backbone atoms of resides
65–68 (sequence ASLA) in the TM region of one subunit, the
center of mass of the same backbone atoms residues of all subunits
and the center of mass of the backbone atoms of residues 225–227
(sequence: GWN) of the cytoplasmic region of all subunits. The second
plane was assigned as follows: the center of mass of the backbone
atoms of residues 225–227 (sequence: GWN) of one subunit and
the same two points that include all subunits as described before.
At the beginning of the simulation, the angle between these two planes
was defined as zero in order to calculate the changes during the simulation.
Energy Profile Calculations
Potential of mean force
(PMF) calculations were performed as described previously.[41] Briefly, the main conformational changes in
the most prominent G143Ed opening simulation were obtained
by principal component analysis. The first eigenvector obtained by
this PCA was used as a reaction coordinate. Along this reaction coordinate,
45 windows were chosen for umbrella sampling and simulated for 50
ns. Umbrella sampling simulations were performed by applying a harmonic
restraint force along the transition pathway with force constants
between 1 and 100 kJ mol–1 nm–2. The first 30 ns of each window were discarded for equilibration.
The potential of mean force and the statistical errors of the activation
gating energy profile were estimated by making use of the g_wham tool
of gromacs and the integrated bootstrap analysis method.[42] The number of bootstraps was set to 100.
Mutations
and Growth Assay
KirBac1.1 WT coding DNA
was inserted between NcoI and HindIII of pQE60 vector.[43] All mutations were introduced into KirBac1.1
by site-direct mutagenesis kit (Agilent Inc.) and confirmed by DNA
sequencing.For growth assay, 20 ng of KirBac1.1 plasmids were
transformed into E. coli BL21-gold
(DE3) host strain following the protocol provided by the manufacture
and 10 μL of transformants were spotted on LB agar plates containing
100 μg L–1 of ampicillin and 15 μg L–1 of tetracycline. The plates were incubated at 37
°C overnight, and then, pictures were taken by digital camera.
Results
To probe the mechanism of KirBac1.1 gating, we made
use of the
known activatory (“gain-of function”) mutant G143E.[44] This mutant was selected due to its equivalent
position to activatory mutant S129R in KirBac3.1, which was used to
obtain open state crystals of this channel.[16] G143E is located in transmembrane helix 2 (TM2) at a hydrophobic
interface between two adjacent TM2 helices (see Figure 1A and B and supplemental Figure 1). The activatory effect of this mutant was investigated using four
times 200 ns unbiased full atomistic MD simulations of the full length
KirBac1.1 WT crystal structure and mutant G143E in deprotonated (denoted
as G143Ed) and protonated (G143Ep) form.G143Ed location and induced channel opening. (A) Position
of F146 (yellow) forming the helix bundle crossing gate and the introduced
G143Ed mutant (orange). For clarity, only two opposing
subunits are shown. (B) G143E is located in a tightly packed hydrophobic
pocket formed by Y52 (slide-helix), F146 (yellow), L140, L144, and
A147 (all four located in the TM2) of the same subunit (SU, colored
gray) and V145, F146 (yellow), and F149 of the adjacent TM2 (colored
light blue). (C) Averages of F146 Cα–Cα distances
in WT and G143Ed simulations are shown as blue and green
lines, respectively. Standard deviations are depicted as light shades
accordingly. (D) Superposition of the TM2 helices of the open KirBac3.1
structure (pdb identifier: 3ZRS, shown in ocher) and the G143Ed mutant
(final state, shown in green). The Cα atoms of F146 (KirBac1.1)
and the equivalent Y132 (KirBac3.1) are shown as green and ocher spheres.
Mutant G143Ed Induces Opening
of the HBC Gate
MD simulations show that mutant G143Ed induces global
conformational rearrangements of the protein. Bending at a highly
conserved glycine hinge (G134) in TM2, leading to opening at the HBC,
was observed in all four simulations. A HOLE plot showing the pore
diameter after 200 ns is shown in supplemental
Figure 2A and B. To monitor the changes at the gate over time,
we measured the Cα–Cα distance between opposing
F146 residues, lining the narrowest point of this gate. As shown in
Figure 1C, the distance rapidly increased to
13.8 ± 0.9 Å, compared to WT simulations, where the gated
remained fully closed (Cα–Cα distance at F146:
11.0 ± 0.9 Å). The end state of the G143Ed mutant
was compared with the KirBac3.1 open X-ray structure. Figure 1D shows a structural superposition of the TM2 helices
of the two structures, revealing good overlay between the structures.
Next, the χ1 angle distribution of the F146 side chain over
time was analyzed. As shown in Figure 2A–C,
the χ1 angle switched from predominantly ∼160° in
WT (cavity facing) to predominantly ∼270° (cavity lining)
in the G143Ed mutant channel.
Figure 2
Conformational changes
of F146 during gate opening. (A) χ1
angle distribution of the F146 side chain in WT (blue) and G143Ed (green) simulations. (B) Bottom view of the closed helix
bundle crossing gate in WT simulations with F146 (yellow spheres)
in the cavity facing conformation (χ1 angle of ∼160°).
(C) Bottom view of an open helix bundle crossing gate in G143Ed simulations with F146 in the cavity lining rotameric state
(χ1 angle of ∼270°). G143Ed are shown
as orange spheres.
Conformational changes
of F146 during gate opening. (A) χ1
angle distribution of the F146 side chain in WT (blue) and G143Ed (green) simulations. (B) Bottom view of the closed helix
bundle crossing gate in WT simulations with F146 (yellow spheres)
in the cavity facing conformation (χ1 angle of ∼160°).
(C) Bottom view of an open helix bundle crossing gate in G143Ed simulations with F146 in the cavity lining rotameric state
(χ1 angle of ∼270°). G143Ed are shown
as orange spheres.To further investigate
the consequence of these structural changes
on the HBC gate, we monitored the water flux through the gate in WT
and G143Ed simulations. While water flux was not observed
in the WT simulations (see Figure 3A and C),
considerable water migration through the gate occurred in the G143Ed mutant (Figure 3B and C).
Figure 3
Water flux
through the HBC gate. (A) Water impermeable gate in
the WT simulation. Three SUs are shown for clarity. F103 residues
are shown as yellow sticks. Water molecules are represented as spheres.
(B) Water flux through the open gate in G143Ed simulations.
G143Ed is depicted as orange sticks, and the K+ ion, as a purple sphere. (C) Water count of permeation events in
the WT (blue line) and G143Ed (green shade) simulations.
Water flux
through the HBC gate. (A) Water impermeable gate in
the WT simulation. Three SUs are shown for clarity. F103 residues
are shown as yellow sticks. Water molecules are represented as spheres.
(B) Water flux through the open gate in G143Ed simulations.
G143Ed is depicted as orange sticks, and the K+ ion, as a purple sphere. (C) Water count of permeation events in
the WT (blue line) and G143Ed (green shade) simulations.
Global Conformational Changes
in the Cytoplasmic Domain
In addition to the rearrangements
at the HBC, our simulations revealed
large conformational changes at the CTD. A rotational movement of
the CTD relative to the plane of the membrane was seen in all four
G143Ed mutant simulations. The degree of this twisting
motion amounted to 15° on average, with maximum values of 23°
in one run (see Figure 4A). These values are
in good agreement with data obtained from several KirBac3.1 X-ray
structures,[13,16] suggesting that the rotational
movements of these two channels are conserved.
Figure 4
Changes in
the interaction network of the CTD. (A) Average of the
CTD rotation angle in WT (blue) and G143Ed simulations
(green). (B) Star graph of salt bridges between R271 and neighboring
amino acids of adjacent SUs (aSU) and the same SU (sSU). Interactions
in WT and G143Ed simulations are depicted as blue and green
shades, respectively. The magnitude of interaction is normalized to
the most prominent salt bridge in the protein. (C) Star graph of salt
bridges between K191 and neighboring amino acids of aSUs and the sSU.
(D) SU-interface of CTD conformation in WT simulation. The two aSUs
are colored blue and gray. Salt bridges are depicted as dashed lines.
(E) SU-interface of CTD conformation in G143Ed simulation.
The two aSUs are colored green and gray. Salt bridges are depicted
as dashed lines.
Moreover, rearrangements
at the subunit interface, especially salt bridge formations, were
analyzed. In this study, the term “salt bridge” denotes
nonbonded, N–O bridged, and long-range electrostatic interactions
between acidic carboxyl groups and basic amino groups in the same
subunit (sSU) or adjacent SUs (aSUs) as described by Kumar et al.[40] In the WT closed structure, R271, located in
the βI strand (see Figure 4B, D), forms a salt bridge with E262 (G-loop of the adjacent subunit).
Further, E187 interacts with K191 and R193 from the βD strand of the aSU. Moreover, hydrogen bonds between R193 and E218
from the adjacent CD-loop were observed.In the G143Ed mutant, global conformational rearrangements
of the CTD led to an additional salt bridge between R271 and E187
of the aSU (Figure 4B, E). This salt bridge
formation occurred within the first 80 ns in all four simulations
between all four interfaces. Due to the R271–E187 salt bridge
formation, interactions between K191 and E187 were weakened.Changes in
the interaction network of the CTD. (A) Average of the
CTD rotation angle in WT (blue) and G143Ed simulations
(green). (B) Star graph of salt bridges between R271 and neighboring
amino acids of adjacent SUs (aSU) and the same SU (sSU). Interactions
in WT and G143Ed simulations are depicted as blue and green
shades, respectively. The magnitude of interaction is normalized to
the most prominent salt bridge in the protein. (C) Star graph of salt
bridges between K191 and neighboring amino acids of aSUs and the sSU.
(D) SU-interface of CTD conformation in WT simulation. The two aSUs
are colored blue and gray. Salt bridges are depicted as dashed lines.
(E) SU-interface of CTD conformation in G143Ed simulation.
The two aSUs are colored green and gray. Salt bridges are depicted
as dashed lines.
Salt Bridge Formation between
G143Ed and R153
Further, the structural changes
at the TM–CTD interface were
examined. Our analysis revealed that the G143Ed side chains
form a stable salt bridge (see Figure 5A and
C) with residue R153, located in the C-linker of the neighboring subunit,
within the first half of the simulations. To investigate the importance
of this salt bridge for the cross-talk between TM and CTD, R153A was
introduced in the background of the G143Ed mutant in all
four subunits. In these simulations, the HBC gate opens on average
to 13 Å (not shown), but the observed rotation of the CTD was
rather small with ∼5° (Figure 6). This suggests that the strong electrostatic interactions between
G143Ed and R153 are important for the twisting motion observed
in the G143Ed mutant.
Figure 5
Salt bridge interactions of R153. (A)
Star graph of salt bridges
between R153 and neighboring amino acids of aSUs and the sSU. Interactions
in WT and G143Ed simulations are depicted as blue and green
shades, respectively. The magnitude of interaction is normalized to
the most prominent salt bridge in the protein. (B) Starting conformation
of G143Ed simulations. aSUs are colored green and gray.
G143Ed and F146 are shown as orange and yellow sticks.
(C) G143Ed–R153 salt bridge (dashed line) after
200 ns.
Figure 6
Average of the CTD rotation angle. Average rotation
angle as a
function of time in WT (blue), G143Ed (green), and G143Ed–R153A double mutant (magenta) simulations.
Salt bridge interactions of R153. (A)
Star graph of salt bridges
between R153 and neighboring amino acids of aSUs and the sSU. Interactions
in WT and G143Ed simulations are depicted as blue and green
shades, respectively. The magnitude of interaction is normalized to
the most prominent salt bridge in the protein. (B) Starting conformation
of G143Ed simulations. aSUs are colored green and gray.
G143Ed and F146 are shown as orange and yellow sticks.
(C) G143Ed–R153 salt bridge (dashed line) after
200 ns.Average of the CTD rotation angle. Average rotation
angle as a
function of time in WT (blue), G143Ed (green), and G143Ed–R153A double mutant (magenta) simulations.
Influence of Protonation State on Channel
Conformation
The above-described observations indicate that
opening involves a
two-step process. First, strong repulsion between G143Ed and the surrounding hydrophobic residues triggers opening at the
bundle crossing region. In a second step, electrostatic interactions
between G143Ed and R153 of the adjacent C-linker induce
rotation of the CTD. It was previously reported that the activity
of KirBac1.1,[43] as well as of a close homologue[18] are both pH-dependent, thus we investigated
the influence of the protonation state of G143E on channel gating.
In repeated simulations with G143Ep (protonated), neither
opening at the HBC nor twisting at the CTD were observed (see Figure 7A, B, supplemental Figure 2C). Moreover, no water flux was observed within 200 ns (not shown).
Figure 7
Analysis
of G143Ep simulations. (A) Averages of F146
Cα–Cα distances in WT and G143Ep simulations
are shown as blue and red lines, respectively. Standard deviations
are depicted as light shades accordingly. (B) Average CTD rotation
angle as a function of time in WT (blue) and G143Ep (red)
simulations.
Analysis
of G143Ep simulations. (A) Averages of F146
Cα–Cα distances in WT and G143Ep simulations
are shown as blue and red lines, respectively. Standard deviations
are depicted as light shades accordingly. (B) Average CTD rotation
angle as a function of time in WT (blue) and G143Ep (red)
simulations.
Energetics of the G143Ed Mutant Channel Opening
To investigate the coupling
between the HBC gate and the CTD twisting
motion in more detail, we calculated the free energy landscape of
activation gating (Figure 8). The main conformational
changes in the most prominent G143Ed opening simulation
(CTD rotation of 23°) were obtained by principal component analysis
and used as reaction coordinate for umbrella sampling calculations.
At the beginning of the simulation a steep energy decrease of ∼7
kcal/mol was observed. During this phase, the HBC gate opened and
the rotameric state of the F146 side chain changed from a cavity facing
to a cavity lining conformation. Further, a first rotational movement
of the CTD of ∼12° occurred. In addition, monitoring of
the G143Ed–R153 salt bridge along the reaction coordinate
revealed that in 3 of the 4 subunits a salt bridge between TM2 and
the linker of the adjacent subunit was formed during this phase (Figure 8D). From 6 to 7 nm, a plateau phase (Figure 8A) was observed, where no rotational movement of
the CTD occurred (Figure 8C). Subsequently,
a second rotational movement of the CTD led to a total rotation of
23° compared to the starting structure and a further decrease
in energy of ∼3 kcal/mol.
Figure 8
Free energy profile and corresponding
gating changes of KirBac1.1
channel opening. (A) Energy profile along the main conformational
changes of opening represented by the first eigenvector. Statistical
error is depicted as green shading. (B) χ1 angle dynamics of
F146 during gate opening. (C) Rotational angle of the CTD along the
first eigenvector. (D) Occurrence of the salt bridge between R153
and G143Ed in all four SUs.
Free energy profile and corresponding
gating changes of KirBac1.1
channel opening. (A) Energy profile along the main conformational
changes of opening represented by the first eigenvector. Statistical
error is depicted as green shading. (B) χ1 angle dynamics of
F146 during gate opening. (C) Rotational angle of the CTD along the
first eigenvector. (D) Occurrence of the salt bridge between R153
and G143Ed in all four SUs.
Protein–Lipid Interactions during Gating
The
importance of KirBac1.1 phospholipid interactions at the TM–CTD
interface was reported previously.[13,45] Thus, we investigated
the protein–lipid contacts in this region. Figure 9 shows the number of hydrogen bonds to the lipid
head groups over time. While for R49 no gating dependent effect was
seen, the number of hydrogen bonds increased for K57 (slide-helix)
and R151 (C-linker) during channel opening. Downward movement of the
slide-helix at the C-terminal end and a subtle outward movement repositions
K57, leading to increased lipid exposure of this residue. Further,
repositioning of the C-linker induced by the G143Ed–R153
salt bridge, led to an upward movement of the R151 side chain and
strengthened lipid contacts as shown in Figure 9C.
Figure 9
Protein–lipid interactions during gating. The total numbers
of hydrogen bonds formed between lipids and R49 (A), K57 (B), and
R151 (C) in all four WT and G143Ed simulations are depicted
as blue and green lines, respectively.
Protein–lipid interactions during gating. The total numbers
of hydrogen bonds formed between lipids and R49 (A), K57 (B), and
R151 (C) in all four WT and G143Ed simulations are depicted
as blue and green lines, respectively.
Experimental Testing of the G143E Mutant
We have constructed
the KirBac1.1 G143E mutant and attempted to express and purify the
protein for functional assay. Unfortunately, the protein appears to
be very toxic to E. coli host strain,
since we are unable to obtain any transformant that expresses mutant
protein at detectable levels. Previously, our studies showed that
KirBac1.1 WT plasmid expresses active potassium channels, but G143C
mutant loses channel function.[46] In the
present work, we transformed pQE60 vector, KirBac1.1 WT, G143E, and
G143C (20 ng of each), into equal amount (28 μL) of E. coli BL21-gold (DE3) competent cells. As shown
in Figure 10, plenty of transformants were
obtained for vector and G143C mutant. For KirBac1.1 WT, the transformation
efficiency was decreased, but we obtained only few colonies for G143E.
Our data are consistent with the G143E plasmid generating highly active
channels, which are very toxic and kill the host stain.
Figure 10
Grow assay.
The E. coli host strain
was transformed with pQE60 vector, and the pQE60 vector carried KirBac1.1
WT, G143E, or G143C encoding DNA.
Grow assay.
The E. coli host strain
was transformed with pQE60 vector, and the pQE60 vector carried KirBac1.1
WT, G143E, or G143C encoding DNA.
Comparison to Experimental Data for KirBac Gating Motions
The transition pathways obtained by our MD simulations are in good
agreement with experimental data. Recent FRET experiments on KirBac1.1
channels revealed major molecular motions in the CTD induced by PIP2 binding.[47] Remarkably, during
our 200 ns simulations with the G143Ed mutant, we observed
tilting motions of the βI sheet, as reported from
these FRET experiments. Additionally, X-ray structure analyses on
the homologue KirBac3.1 channel revealed a twisting motion of the
CTD of 23° relative to the plane of the membrane.[13] The final KirBac1.1 state obtained by simulating
the G143Ed mutant is in excellent agreement with the twisted
conformation described for the homologous KirBac3.1 channel.[13,16] The structural changes observed for the HBC gate (bending at a glycine
hinge) are consistent with data on other K+ channels. However,
the extent of channel opening varies among crystallized structures.[48−52]
Discussion
In this study, we investigated conformational
changes of KirBac1.1
gating by taking advantage of the activatory mutant G143Ed in TM2. Simulations with this mutant revealed detailed mechanistic
insights into the gating of Kir channels.In all G143Ed mutant simulations, HBC opening occurred
prior to conformational changes at the CTD. The introduction of a
negatively charged glutamic acid in a hydrophobic pocket between the
TM2 helices led to strong repulsion, which enabled opening of the
HBC (Figure 1 and 2).
This finding is supported by a previous MD simulation on a KirBac6.1
homology model.[44] Further, this region
has previously been shown to have dramatic effects on gating. For
example, a KirBac3.1 open state X-ray structure was crystallized by
mutating the equivalent position S129 to an arginine.[16] Interestingly, an activatory mutant (A108T/S) was also
identified at this site in the bacterial K+ channel KcsA[53,54] as well as in eukaryotic Kir channels.[55] Moreover, we recently showed that the equivalent position is conserved
in voltage gated calcium channels[56] and
mutation of this position has substantial effects on channel gating.
We and others have indicated that the small size at this position
seems critical for stabilizing the closed gate.[53,57−59] Comparing G143E simulations in protonated and deprotonated
state (Figure 1 and 7), revealed that the effect of the mutant in KirBac1.1 on gating
is primarily resulting from the negative charge of the side chain
and to a lesser extent a size effect. This suggests that several factors
contribute to the effects of mutants close to the HBC gate.The limited simulation time of 200 ns makes it difficult to assess,
whether the HBC gate is fully or only partially opened in our simulations.
However, water flux observed in all G143Ed mutant simulations
indicates an open state (Figure 3). Substantial
conformational variation of the open HBC gate have been reported in
X-ray structures[9,16,60,61] indicating that subtle variations between
channel species might exist. For example, structural differences in
CTDs might influence gating. Additionally, there is accumulating evidence
that several open states exist for each channel, as reported for KirBac1.1.[19]In previous X-ray structures of the KirBac3.1
channel, twisted
and nontwisted CTD conformations were obtained only with a closed
HBC gate.[13] This led to the conclusion
that the CTD rearrangements trigger HBC opening. Contrary to this
previously suggested gating model,[16,18] our simulations
revealed that the CTD conformational changes can occur after HBC gate
opening (Figures 1 and 8). This indicates that the coupling between TM and CTD might operate
bidirectionally. The mutant might influence the cross-talk between
the two domains. Nevertheless, the importance of electrostatic interactions
for stabilizing the twisted conformation, as predicted in our simulations
(Figure 5), is in excellent agreement with
previous data on KirBac3.1.[13] In the G143Ed mutant, these interactions are mainly accomplished by salt
bridge formation of the mutant side chain with R153. The significance
of this contact is further stressed by results from the R153A mutant
simulations, where only subtle twisting motions were observed (Figure 6). Although this interaction can only occur in the
G143Ed mutant, end states obtained from simulations closely
resemble native twisting motions of the CTD as inferred from KirBac3.1
structures. Moreover, subunit interface rearrangements predicted by
our simulations (Figure 4) are similar to KirBac3.1.[13]Another important prediction from our
simulations concerns the
pH-dependence of mutant G143E. Only the deprotonated glutamic acid
induced global conformational changes on the nanosecond time scale,
suggesting that gating of this mutant might be pH dependent (Figures 1 and 7). Similar observations
were reported for a F168E mutant in the HBC gate of the mammalian
Kir6.2 channel.[62] Taken together, our data
provide structural details of how protonatable side chains can be
used to induce channel gating by pH titration.We attempted
to validate our findings by expressing and purifying
the protein in an E. coli host strain.
Unfortunately, the G143E mutant appears to be very toxic and kills
the host stain, which suggests that the mutant generates highly active
channels in agreement with our simulations, revealing that global
gating rearrangements in both the HBC gate and the CTD with the G143Ed mutant are accessible via MD simulations. This indicates
that the mutant might significantly decrease the energetic barrier
for channel opening, since all WT X-ray structures to date were captured
with a closed HBC gate. Indeed, our PMF calculations revealed an energy
difference of ∼10 kcal/mol between closed and open state, with
no energy barriers present (Figure 8). It is
conceivable that an energetic barrier needs to be overcome in WT for
channel opening as shown in a previous simulation study on KcsA.[41]There is accumulating evidence, highlighting
the importance of
lipid components for regulating Kir channels (for recent reviews,
see refs (63−67)). Analysis of protein lipid interactions in WT and G143Ed mutant simulations revealed gating-dependent hydrogen bond formation.
In particular, interactions of K57 located in the slide-helix and
R151 from the C-linker to the lipid head groups are significantly
increased upon channel opening (Figure 9).
These observations are in excellent agreement with a study by Enkvetchakul
et al.[45] which reported the importance
of lipid head groups in regulating KirBac1.1 gating. Interestingly,
additional nonspecific anionic lipid interactions have been recently
shown to be required for Kir2 channel gating.[3] This indicates that all Kir channels are strongly lipid regulated,
further supported by a recent MD study on a Kir3.1 chimera.[68]In conclusion, the presented simulations
unravel the progression
of conformational changes during gate opening. Contrary to previous
hypotheses based on static crystal structures, opening of the HBC
gate can trigger twisting of the CTD. This process is mediated by
electrostatic interactions between TM and CT domains. Additionally,
lipid contacts with the slide-helix facilitate channel opening and
presumably stabilize this conformation. One has to keep in mind however
that our simulations are based on the G143E “activatory”
mutant. It cannot be excluded that the gating transitions of wild
type Kir channels differ. Even though, the gating transitions observed
in our simulations are in good agreement with recent FRET experiments,[47] wild type open state X-ray structures of Kir
channels in combination with MD simulations will be needed to validate
the proposed gating mechanism.
Authors: Victor G Romanenko; Yun Fang; Fitzroy Byfield; Alexander J Travis; Carol A Vandenberg; George H Rothblat; Irena Levitan Journal: Biophys J Date: 2004-10-01 Impact factor: 4.033
Authors: Reza Amani; Collin G Borcik; Nazmul H Khan; Derek B Versteeg; Maryam Yekefallah; Hoa Q Do; Heather R Coats; Benjamin J Wylie Journal: Proc Natl Acad Sci U S A Date: 2020-01-24 Impact factor: 11.205
Authors: Reza Amani; Charles D Schwieters; Collin G Borcik; Isaac R Eason; Ruixian Han; Benjamin D Harding; Benjamin J Wylie Journal: Front Mol Biosci Date: 2021-11-30
Authors: Charline Fagnen; Ludovic Bannwarth; Dania Zuniga; Iman Oubella; Rita De Zorzi; Eric Forest; Rosa Scala; Samuel Guilbault; Saïd Bendahhou; David Perahia; Catherine Vénien-Bryan Journal: Front Mol Biosci Date: 2021-06-10