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F1 rotary motor of ATP synthase is driven by the torsionally-asymmetric drive shaft

O. Kulish Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, U.K. A. D. Wright Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, U.K. E. M. Terentjev Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, U.K.
Abstract

F1F0 ATP synthase (ATPase) either facilitates the synthesis of ATP in the mitochondrial membranes and bacterial inner membranesin a process driven by the proton moving force (pmf), or uses the energy from ATP hydrolysis to pump protons against the concentration gradient across the membrane. ATPase is composed of two rotary motors, F0 and F1, which generate the opposing torques and compete for control of their shared central γ\gamma-shaft. Here we present a self-consistent physical model of the F1 motor as a simplified two-state Brownian ratchet based on the asymmetry of torsional elastic energy of the coiled-coil γ\gamma-shaft. This stochastic model unifies the physical description of linear and rotary motors and explains the stepped unidirectional rotation of the γ\gamma-shaft, in agreement with the ‘binding-change’ ideas of Boyer. Substituting the model parameters, all independently known from recent experiments, our model quantitatively reproduces the ATPase operation, e.g. the ‘no-load’ angular velocity is ca. 400 rad/s anticlockwise at 4 mM ATP, in close agreement with experiment. Increasing the pmf torque exerted by F0 can slow, stop and overcome the torque generated by F1, switching from ATP hydrolysis to synthesis at a very low value of ‘stall torque’. We discuss the matters of the motor efficiency, which is very low if calculated from the useful mechanical work it produces - but is quite high when the ‘useful outcome’ is measured in the number of H+ pushed against the chemical gradient in the F1 ATP-driven operation.

Introduction

Adenosine triphosphate (ATP), the universal fuel of the cell, is synthesized in the membranes of mitochondria, chloroplasts and bacteria by the ATP synthase complex. Already in its abbreviation, F0F1-ATPase, one can see its dual functionality [1], which arises from the two competing rotary motors (F0 and F1) that sit on the opposite ends of the shared drive shaft [2, 3]. In one of its operation modes, this multi-subunit enzyme uses free energy stored in a transmembrane electrochemical gradient (pmf) to drive the synthesis of ATP by the F0 motor. In the other mode, it reverses the reaction, hydrolyzing ATP and utilizing the chemical energy to drive the F1 motor and pump protons against their concentration gradient [4]. Which of the two competing motors “wins”, and consequently in which mode the ATPase complex will operate, is determined by the ratio of the ATP/ADP available to the F1 part, and the torque exerted by the pmf-driven F0.

In engineering, if two rotary motors share the same drive shaft and are not attached to any support, the outcome depends on their relative mass (inertia moments); this would be impossible in a heavily overdamped molecular system. Thankfully, in its natural setting, ATPase is anchored in the membrane by the aa-subunit of its stator; this constraint is then passed through the bb- and δ\delta-subunits to immobilize the α3β3\alpha_{3}\beta_{3} hexamer complex of the F1 motor. So the only relevant moving parts in the complex are the central γ\gamma-shaft, which is made of a coiled-coil protein α\alpha-helix, and the disc-like cc-subunit, which is rigidly attached to it and which can rotate relative to the aa-subunit anchored in the middle of membrane bilayer plane, see Fig. 1(a). The other end of the γ\gamma-shaft is inserted into the central cavity of the α3β3\alpha_{3}\beta_{3} complex, with three identical equilibrium positions separated by 120 representing the catalytic sites on the β\beta-subunits. The “cam” end of the γ\gamma-shaft: the off-axis eccentric bulge region of the γ\gamma-subunit [5, 6, 7], is able to dock into this cavity in three equivalent orientations, when it fits in one of the indentations, Fig. 1(b). These are the distilled structural features of ATPase that we shall need to develop our physical model of the Brownian ratchet F1 motor; these structural details are extensively characterized in many famous papers [1, 3, 8, 9].

The mechanism of the F0 motor is relatively well understood, in both its physical principles and quantitative predictions, following the original work of G. Oster et al. [10], where it is shown how an asymmetry of H+ ion channels in the aa-subunit can selectively protonate the Asp61 site on the cc-rotor and thus constrain its rotational Brownian motion preferentially in the clockwise direction as seen from the membrane side (assuming the natural H+ concentration gradient on the two sides of the membrane). The pmf arising from this concentration gradient is able to deliver the sufficient torque on the cc-ring, which is then passed via the γ\gamma-shaft into the cavity of the α3β3\alpha_{3}\beta_{3} complex and forces the 3-stage sequential structural isomerization (opening) of the β\beta-subunits to facilitate the capture of ADP and phosphate ion, the enzymatic reaction ADP+Pi, and the release of ATP.

The action mechanism of the F1 motor is unknown, in spite of many attempts to explain it. It is known to be powered by the ATP hydrolysis in the β\beta-subunits of the α3β3\alpha_{3}\beta_{3} complex (i.e. the reverse of the ADP phosphorilation sequence) and produces the opposite (anticlockwise) rotation of the cc-ring, which is therefore forced to rotate in spite of the energy barrier of non-protonated Asp61, and thus deliver H+ ions into the high-concentration channel, while taking them away from the low-concentration volume. In this way ATPase can pump protons and build up the transmembrane pH gradient using the energy stored in ATP. There are many interesting papers in the literature, attempting to discern how this anticlockwise torque can be generated in the junction between the γ\gamma-shaft and α3β3\alpha_{3}\beta_{3} complex, but none are satisfactory. They often start from the original mechanistic “binding change” ideas of P. Boyer [11] and develop towards the power-stroke mechanism of Wang and Oster [12, 13]. The latter models in this vein are very complex, with up to 64 states and many coupled stochastic variables [12, 14]. With many free parameters they do succeed at matching the phenomenology of the F1 motor. There nonetheless remains a need to produce a concept model which explains the physical origin of the effective torque generated by F1, and many analogous ATP-driven rotary motors, and the direction of rotation in terms of the microscopic configuration and the physics of the system. There is also an often-quoted “100% efficiency” of the F1-ATPase motor [15, 3, 16], a phenomenon that would contradict basic thermodynamics. The origin of such a confusion is that one can measure the useful power the motor produces (from the velocity and drag, or from the counter-torque delivered by pmf) and the rate of ATP hydrolysis, which one assumes is the energy source for the motor – and thus estimate the motor efficiency from their ratio. We shall show below that the energy influx from the ATP hydrolysis only serves to switch between the states of the system, while the driving power arises from the Brownian motion itself.

State of the art

Of the large literature on the ATP-driven rotary motors such as F1-ATPase, the most recent and most useful overview is found in papers by Okazaki and Hummer [17] and by Mukherjee and Warshel [18]. In the first, the detailed review of key experimental observations about the motor is assembled and the atomic-level resolution of the α3β3\alpha_{3}\beta_{3} complex – γ\gamma-shaft interaction is presented. The second paper [18] gives a careful comparison of various models of torque generation. The paper itself extends the idea of chemical-rotational free energy landscape that should generate the torque on one 120 leg of the rotation cycle.

Refer to caption

Figure 1: ATPase structure and its coiled coil confinement. (a) The volume-filling atomic model, with colours and labels indicating the relevant subunits, adapted from [3]. (b) The scheme of the “cam” nesting of the coiled coil γ\gamma-shaft in one of the three equivalent slots in the α3β3\alpha_{3}\beta_{3} complex, also showing the direction of F1 motor rotation Θ\Theta. Our model relies on the cam lock being released by β\beta-subunit conformational change on ATP hydrolysis.

In relation to the ideas of torque generation, we would like to point out that in the case of linear motors, it is now well established that it is not the chemical-mechanical coupling that produces what people often call the “power stroke”, but the whole process is diffusive (not dynamic, driven by the Brownian motion), and the switching between conformational states maintains the out-of-equilibrium conditions that allow unidirectional transport [19]. This last point needs to be emphasized since it is a widely spread issue in the literature. Normally, in a dynamical system, if there is a friction drag opposing the motion (rotational friction in our case, expressed via the coefficient of friction and angular velocity: ξω-\xi\omega), then there has to be an external force applied (torque or moment of force in our case: MM) in order to sustain the constant-speed motion in what is called the ‘terminal velocity’ regime: M=ξωM=\xi\omega. Then the power loss against friction is the product P=MωP=M\omega, and the source of this energy is coming from the agent that delivers the torque. The situation is different on the molecular scale, when the physics is dominated by the Brownian motion, i.e. the thermal stochastic force acting on all elements of the system. Later in the text we will derive the expression for the average angular velocity of rotation of the motor, which is strongly affected by the rotational friction – but via the diffusion constant D=kBT/ξD=k_{\mathrm{B}}T/\xi. In the overdamped regime there is no momentum transfer![20] It is incorrect to assume that the free rotation in the overdamped viscous environment requires external power P=ξω2P=\xi\langle\omega\rangle^{2}, which is a frequently presented estimate that usually leads to a statement about the high efficiency of F1-ATPase motor because it gives approximately the same value as the rate of ATP hydrolysis energy supply. It is equally incorrect to assume that the motor generates a torque merely because there is a constant average velocity observed. The motion occurs due to the thermal motion, while the ATP hydrolysis is needed to take the system out of the detailed-balance conditions. In order to generate useful work there has to be a counter-torque against which the stochastic motor has to work, as it is carefully studied by Prost et al. [21]. Later in the text we will calculate the average velocity of the F1 motor working against such a counter-torque (arising from F0 in the real ATPase, but not a mere frictional resistance) and thus be able to estimate the efficiency, which depends on conditions (e.g. becomes zero at the stall torque) but is certainly much less than 100% in all situations. The efficiency is also zero when there is no external torque (free rotation of the motor against friction) since there is no work done.

Among the large amount of experimental work, recently there have been two very important studies of the F1 motor, examining the role of the γ\gamma-shaft, both extremely delicate and sophisticated in their techniques: the group of K. Kinosita [22] have sequentially chopped off the length of the γ\gamma-shaft and monitored the change in the motor action, in each case attaching a marker to the shorter and shorter shaft. The group of H. Noji [23] have managed to remove the γ\gamma-shaft altogether and monitored the unidirectional rotation of the hydrolysis site on the α3β3\alpha_{3}\beta_{3} complex by imaging in a fast AFM. The latter paper claims disagreement with the former (and many others), pointing at the apparent unidirectional motor action without any rotor – a remarkable observation in itself. Yet, on careful analysis, we conclude that there is no discrepancy and the results are in fact consistent. It was found that by making the γ\gamma-shaft sequentially shorter, the average speed of the motor has become consistently lower (in spite of the friction resistance of the rotating marker being kept the same): changing from well over 100 rps (revolutions per second) for the wild type down to 0.8\sim 0.8 rps for the shortest mutant at a high ATP concentration of 2 mM [22]. The experiment with γ\gamma-shaft rotor removed did not have any friction, and recorded an average unidirectional sequence of binding on β\beta subunits with a speed 0.4\sim 0.4 rps at 2 μ\muM ATP. This needs to be compared with the speed of 252-5 rps in the wild-type F1F_{1} motor observed at the same 2 μ\muM ATP with an actin filament creating high friction drag [15] or 20\sim 20 rps with a low-drag gold bead [24]. It is clear from both experiments on γ\gamma-shaft reduction that there is a complicated (and not known) machinery in the α3β3\alpha_{3}\beta_{3} complex that maintains the transfer of the hydrolysis site, slowly but consistently in counterclockwise direction. But it is equally clear that the γ\gamma-shaft plays a crucial role in achieving the required speeds and the motor efficiency, and its reduction dramatically reduces both. We also note that a coiled-coil filament is a definitive common feature of all other rotary motors driven by ATP hydrolysis (in contrast to pmf-driven motors like F0F_{0} or flagellar). In this paper we develop a concept of such a rotary motor radically different from what was considered previously: a model that is based on the very generic asymmetric torsional elasticity of the coiled coil γ\gamma-shaft. We demonstrate that the motor mechanism is robust and generic, not much influenced by the details of molecular structure (except the 120 periodicity and the parameters of the γ\gamma-shaft, which are both crucial).

Our idea of a two-state Brownian ratchet motor is not original (only its rotary aspect is): a long time ago it was developed by Jülicher, Ajdari and Prost, and is now an accepted standard for linear motors such as myosin on actin, or kinesin on microtubules [25, 21]. For such a motor, at the most basic level one needs just two elements: a periodic profile of the ground-state potential energy with left-right asymmetry (which is the source of symmetry breaking for unidirectional motion), and the external energy input to disturb the equilibrium detailed balance and bring the mechanical system into the upper short-lived ‘excited’ state (which is what the ATP hydrolysis provides in all cases). For F1 ATPase the relevant potential energy is the torsional elastic energy of twisting of the coiled-coil γ\gamma-shaft about its axis, Fig. 1(c). The linear torsional elasticity of the γ\gamma-subunit has been studied in great detail by monitoring the thermal fluctuations of the angle of the cc-ring freely rotating with respect to the α3β3\alpha_{3}\beta_{3} complex immobilized on a substrate. However, the fact that it costs more energy to under-twist the coiled coil, than to over-twist it, is not a priori obvious. Here we model the α\alpha-helical coiled coil and produce the distinctly asymmetric non-linear torsional potential energy E(θ)E(\theta), shown in Fig. 3 below. The 3-fold, 120 periodicity is inherent in the α3β3\alpha_{3}\beta_{3} structure, and we plot this potential energy against the angle θ\theta with respect to the neutral equilibrium position of its cam docked in a given slot, as illustrated in Fig. 1(b,c). For the model of torsional elasticity of the coiled coil to match the geometry and the measured torsional modulus of the γ\gamma-shaft [13, 26, 27], there is very little freedom in its choice of parameters. Note that this physical reason for the rotation symmetry breaking of the F1-ATPase motor is different from the asymmetry suggested by Oster et al. [28], where the ‘culprit’ was proposed to be the shape of the β\beta-subunit confining the bulge-end of the γ\gamma-shaft. We do not argue against such an asymmetry of the ‘lock’ shape (in fact, experiments of Noji et al. [23] on the unidirectional binding with no rotor surely prove its validity), merely point out that it cannot produce a power stroke in overdamped conditions where no momentum transfer can occur.

The next section gives a brief description of the asymmetric torsion of the coiled coil. We then show how the rotary motion is induced in such an asymmetric periodic potential, when a second ‘excited’ state (corresponding to the undocked cam and the unrestricted rotational diffusion of the c-ring) can be reached by an ATP energy influx. The final section demonstrates how such a rotary motor would operate against a counter-torque arising from the pmf-driven F0 motor, and find the stall conditions. At the end we compare theoretical predictions with experimental measurement data on ATP synthase F1 motor action [29, 30, 24], and find a remarkable level of agreement given that we have practically no fitting parameters (meaning that most of the model parameters are in fact determined from independent experiments). The key observations that we wish to match are: (1) At low [ATP] there is an almost linear dependence of average rotation velocity with ATP concentration, practically independent on the degree of frictional resistance, with a slope 6106\sim 6\cdot 10^{6} rps/M  [24, 31]. (2) At high [ATP] the rotation rate saturates at a value determined by the friction resistance, in many different experiments this rotational friction coefficient has spanned the range 10410^{-4}-10210^{2} pN.nm.s [24]. No doubt motivated by Michaelis-Menten, people frequently use a fitting function ω=(1/vnoload+2πξ/M)1\langle\omega\rangle=(1/v_{\mathrm{noload}}+2\pi\xi/M)^{-1} where MM is the “assumed torque” generated by the motor. At a high [ATP]=2 mM and low friction, the value of vnoloadv_{\mathrm{noload}} was found to be 130\sim 130 rps [24]. (3) The value of the “assumed torque” is frequently quoted as 40\sim 40 pN.nm [16, 31], although the earlier work of Junge et al. produced 56\sim 56 pN.nm [3]. We already explained the error in interpreting a product ξω\xi\langle\omega\rangle of a stochastic motor as an actual torque generated, nevertheless, the actual experimental values of ξ\xi and ω\langle\omega\rangle need to be matched. All of this happens on ATP hydrolysis and the binding rates are quoted in the range 2-6107M1s1\cdot 10^{7}\,\mathrm{M}^{-1}\mathrm{s}^{-1} by a number of different groups [24, 31, 30, 32]. These values are our initial ‘target’ in this paper.

Asymmetric torsional energy of the coiled coil

The central γ\gamma-shaft is a left-handed coiled coil of two α\alpha-helical proteins. Here we calculate how the elastic energy increases as a function of the angle of twist of such a coiled coil filament. Note that there are other, sometimes more sophisticated (and always more complex) elastic models of helical filaments [33, 34], but we choose to stay with very simple, qualitatively clear description.

We can regard the α\alpha-helix as an elastic filament with known characteristics. Its outer diameter is 1.2 nm; its persistence length has been extensively studied, providing a reasonably accurate value for the bending modulus B570B\approx 570 pN\cdotnm2 (equivalent to a persistence length of \sim100 nm at room temperature [35, 36]). Surprisingly for a cylindrical elastic filament, the torsional elasticity of an α\alpha-helix is greater: C(3/2)BC\approx(3/2)B with the corresponding torsional persistence length of \sim150 nm. The ‘surprise’ is because in a homogeneous cylinder made of an isotropic elastic material, the torsional modulus is related to the bending modulus by an equation C=B/(1+σ)C=B/(1+\sigma), where σ\sigma is the Poisson ratio of the material [37]. So for an incompressible material one expects C=(2/3)BC=(2/3)B and for a typical Poisson ratio of crystalline solids (σ\sigma=0.3) we would have C=0.77BC=0.77B, while the observed factor of 3/2 implies a negative Poisson ratio σ=1/3\sigma=-1/3. This is a very unusual case in elasticity often referred to as an “auxetic material” [38, 39]. On the other hand, it may not be so surprising if we consider the main elastic elements in the α\alpha-helix are the hydrogen bonds in the outer shell of the cylinder, which are aligned with the helix axis: such a configuration has all the makings of a locally auxetic material. These facts and a discussion are well presented in a paper by Sun et al. [36].

When a pair of α\alpha-helices is wound into a two-strand coiled coil tertiary structure, the axis of each of the α\alpha-helices makes a helical curve of its own, with a radius R=0.46R=0.46 nm and a pitch pp in the range between 11 nm [40] and 14 nm [41]. For our calculations we shall take p=p= 11 nm. There is an extensive knowledge of the coiled coil geometry, going back to the work of Pauling and Crick in the 1950s [42, 43]; this geometry and its parameters are well summarized in recent papers by Sun et al. [44, 45]. We might take a view that the α\alpha-helix is an elastic filament that is straight in equilibrium, but is forced to make a left-handed helical curve in space when it is twisting in the coiled coil configuration. In calculating the elastic energy we use the approach of Yamakawa [46], by expressing the geometry of a helical curve via the two characteristic parameters: curvature and torsion (κ\kappa and τ\tau), which are directly related to the radius RR and pitch pp of the coiled coil, Fig. 2:

κ=RR2+(p/2π)2,τ=p/2πR2+(p/2π)2.\kappa=\frac{R}{R^{2}+(p/2\pi)^{2}},\ \ \ \tau=-\frac{p/2\pi}{R^{2}+(p/2\pi)^{2}}. (1)

In equilibrium each α\alpha-helical filament has κ=0\kappa=0 and τ=0\tau=0, but when they are twisted into the coiled coil, the two space curves r1r_{1} and r2r_{2} represent the centerlines of each filament:

r1=(RsinωsRcosωsqs),r2=(RsinωsRcosωsqs),r_{1}=\left(\begin{array}[]{c}R\sin\omega s\cr R\cos\omega s\cr qs\end{array}\right),\ \ \ r_{2}=\left(\begin{array}[]{c}-R\sin\omega s\cr-R\cos\omega s\cr qs\end{array}\right), (2)

where ss is the arc length along the curves of α\alpha-helix centerline, ω=2π/p\omega=2\pi/p is the rate of helical winding and q=pω/2πq=p\omega/2\pi is the rate of advance of the curve along zz-axis. Note that since the α\alpha-helix is essentially inextensible [36], the constraint q=1R2ω2q=\sqrt{1-R^{2}\omega^{2}} or ω=1/R2+(p/2π)2\omega=1/\sqrt{R^{2}+(p/2\pi)^{2}} is in place. The winding angle at top of the coiled coil is what has been acquired when s=Ls=L, that is, θ=ωL\theta=\omega L. The Frenet-Serret equations allow calculating the curvature and torsion for a given helix configuration:

κ=R(θ/L)2,τ=(θ/L)1R2(θ/L)2,\kappa=R(\theta/L)^{2},\ \ \ \tau=-(\theta/L)\sqrt{1-R^{2}(\theta/L)^{2}}, (3)

which shows that for such overconstrained space curves the curvature and torsion are not independent: τ=κ/Rκ2\tau=-\sqrt{\kappa/R-\kappa^{2}}. The elastic energy of each such filament (as it is forced to wind into a coiled coil) as a function of deviation from its natural equilibrium is measured by κ\kappa and τ\tau: Eα=L[12Bκ2+12Cτ2]E_{\alpha}=L\left[\frac{1}{2}B\kappa^{2}+\frac{1}{2}C\tau^{2}\right].

Refer to caption

Figure 2: Geometry of the two-stranded coiled coil. (a) The dimensions of the γ\gamma-shaft (from [5]). (b) The two elastic α\alpha-helical filaments wound around each other in a tertiary helix with the pitch pp. (c) An illustration of bonding between the two nearly-parallel α\alpha-helices via the ‘heptad repeat’ residues, which induces the equilibrium twist.

The reason the centerline of an α\alpha-helix forms a helical curve in the tertiary structure of coiled coil is because a mechanical frustration is imposed on it by the hydrophobic bonding of residues with the parallel second α\alpha-helix [42, 44, 47]. A typical α\alpha-helix has a helical pitch of 0.6 nm and 3.6 residues per turn, making the step along its axis of h=0.6/3.60.167h=0.6/3.6\approx 0.167 nm per residue. Hence the length of the α\alpha-helical filament with NN residues has a fixed value of L=NhL=Nh, and we already stated that it is essentially inextensible [36]. However, when a second α\alpha-helix is aligned parallel to it, the hydrophobic pairing of apolar residues of the so-called heptad repeat (7:2 pairs) [43, 48] forms a contact line or “seam” between two α\alpha-helices, which has 3.5 residues per turn, bonding the two residues (a,d) of each heptad (the study of coiled coil elasticity [33] calls this line the “interface curve”). Since the length along this contact line of paired residues on the side of the cylindrical α\alpha-helical filament is shorter than the natural length of the centerline of this elastic filament, the rest of the filament coils into a helix – a phenomenon familiar in telephone cords, plant tendrils and curly hair. The key to the resulting geometry is that the height of the coiled coil (defined as HH in Fig. 2: the length along the seam line) is shorter than the contour length L=H2+(Rθ)2L=\sqrt{H^{2}+(R\theta)^{2}}, and their observed ratio is H/L=3.5/3.6=0.97H/L=3.5/3.6=0.97. Since the height HH of the γ\gamma-shaft is known from experiment [5] (H6.5H\approx 6.5 nm), these relations determine the equilibrium pitch (p=11p=11 nm) or the equilibrium twist (θ0=2πH/p=3.71\theta_{0}=2\pi H/p=3.71 rad, or 210) of the coiled coil pair in the γ\gamma-shaft. The elastically active length of α\alpha-helices is L6.72L\approx 6.72 nm, which makes approximately m=2(6.72/0.167)/715m=2(6.72/0.167)/7\approx 15 hydrophobic bonds along the seam line of the γ\gamma-shaft, assuming that two residues (a,d) of each heptad are paired.

However, we cannot assume the hydrophobically-bonded pairs of matching (a,d) heptad members experience a harmonic potential with respect to stretching/compressing the seam line. This line is made of a sequence of pairs of hydrogen bonds in each α\alpha-helix, linked by the matching (a,d) heptad members and nearly parallel to the line itself: it is much harder to stretch the sequence of bonded pairs than to compress it. In stretching, or elongating the distance between residues along the axis of the α\alpha-helix, the existing hydrogen bonds that are aligned along the axis of the α\alpha-helix need to be stretched, which is a hard proposition. In contrast, the shortening of this line can be much more easily accommodated by tilting of the α\alpha-helical bonds away from being parallel to the helical centerline. One can see an analogy with the classical Euler problem of strut elasticity: it is hard to stretch an elastic rod, but on compression it can easily buckle and thus respond with a much lower force. The expression for such a stretching/compressing energy, as function of the length of interface curve, xx, given its equilibrium length H0H_{0}, and the overall length of the filament LL, should take the form analogous to the general energy of a stiff filament [49]:

Eseam=mε[1(x/L)21(H0/L)2)+1(H0/L)21(x/L)2)].E_{\mathrm{seam}}=m\varepsilon\left[\frac{1-(x/L)^{2}}{1-(H_{0}/L)^{2})}+\frac{1-(H_{0}/L)^{2}}{1-(x/L)^{2})}\right]. (4)

This stretching energy EseamE_{\mathrm{seam}} is plotted in Fig. 3(a), illustrating a typical response of a stiff filament, which is hard to stretch but easy to buckle. The experimentally observed coiled coil height H=6.5H=6.5  nm (or the corresponding twisting angle θ0=3.71\theta_{0}=3.71  rad) are obtained by converting from the seam line length xx to the coiled coil twisting angle θ\theta (via x=L2(Rθ)2x=\sqrt{L^{2}-(R\theta)^{2}}) and adding the stretching energy Eseam(θ)E_{\mathrm{seam}}(\theta) to the twisting energy of two α\alpha-helices 2Eα(θ)2E_{\alpha}(\theta), which is plotted as a total in Fig. 3(b). The minimum of this energy defines the equilibrium shape of the coiled coil: a pair of naturally straight elastic filaments (α\alpha-helices) frustrated (contorted) by the added elastic energy of the seam line.

Refer to caption

Figure 3: Seam line contorts two α\alpha-helices into a coiled coil. (a) Plot of the stretching energy of seam line, Eq. (4) for the parmeters outlined in the text. (b) Plots of the total elastic energy of the two filaments bound along the seam line, for increasing values of the bonding energy ε\varepsilon. The minimum of this energy gives the equilibrium twist of the left-handed coiled coil θ03.71\theta_{0}\approx 3.71 [rad] for the curve with mε=250kBTm\varepsilon=250k_{B}T (with m=15m=15 this gives the characteristic parameter ε=16kBT\varepsilon=16k_{B}T).

Refer to caption

Figure 4: Asymmetry of torsional elasticity of coiled coil. The energy E1(θ)E_{1}(\theta) is plotted for the choice of parameters leading to the observed coiled coil geometry (H,θ0H,\theta_{0} and torsional modulus around the equilibrium). The angles to unwind and to over-wind the coiled coil are different: the values a1.197a\approx 1.197 and b0.898b\approx 0.898 are chosen for the total window of variation to be 120120^{\circ}. The energy barreir then is ΔE0136kBT\Delta E_{0}\approx 136k_{B}T.

It may seem that there are many unknown (free) parameters in this simple elastic model, but in fact the published experimental results constrain them very accurately. Junge et al. have measured the linear torsional modulus of the γ\gamma-shaft by observing free thermal fluctuations of its end [6, 26, 29]. A wide range of values is reported, depending on which section of the filament one is tracking in elaborate and delicate experiments, but the order of magnitude remains well defined. A bigger problem is that the torsional modulus has to be presented in the units of [energy / angle2] while all the reported values for the ‘modulus’ are given in the dimensions of energy alone [pN.nm]. The MD simulation study of γ\gamma-shaft elasticity [27] also has a typo, presenting the modulus in [pN.nm / rad]. In spite of all that, the core experimental result of Junge et al. is clear and unambiguous: they have mapped the probability distribution of angle θ\theta of the freely rotationalkly fluctuating γ\gamma-shaft and obtained a Gaussian shape, which allows to determine the modulus directly, giving a value 0.4pN.nm/deg2=1300pN.nm/rad2\sim 0.4\,\mathrm{pN.nm/deg}^{2}=1300\,\mathrm{pN.nm/rad}^{2} (in fact, a range of values within this order of magnitude, depending on which segment of γ\gamma-shaft is examined). A combination of this modulus (i.e. the curvature of the torsional energy near the minimum θ0\theta_{0}, and the position of this minimum at θ0=3.71\theta_{0}=3.71 rad, are enough to determine the parameters mε250kBTm\varepsilon\approx 250k_{B}T (or 147 kcal/mol, i.e. ε=\varepsilon=9.8 kcal/mol ==69 pN.nm per bonded pair of the heptad), and H06.33H_{0}\approx 6.33 nm. So in equilibrium, the seam line is slightly stretched (to 6.5 nm) at the expense of coiling the two α\alpha-helix filaments. Figure 4 zooms into the region near the minimum of this torsional energy, which we label as E1(θ)E_{1}(\theta) as the first level of the two-state model for the motor, and we can clearly see the asymmetry: the energy rises steeper for unwinding the coiled coil (i.e. attempting to stretch the seam line). The torsional fluctuations of the coiled coil about this minimum are markedly asymmetric, which is the key ingredient of our model of rotary motor. It is remarkable in the hindsight that the experimental results of Junge et al. are in fact showing the slight asymmetry of their probability distributions!

The analysis in this section provides the values of asymmetry about the minimum of torsional elastic energy. As we have discussed earlier and illustrated in Fig. 1(b), there is a 120-periodicity of the cam end of the γ\gamma-shaft confinement inside the α3β3\alpha_{3}\beta_{3} cavity. Taking this ‘window’ of 120=2π/3120^{\circ}=2\pi/3 for each cycle, the asymmetry of the torsional potential makes the angular intervals: a1.197a\approx 1.197 and b0.898b\approx 0.898 [rad], as illustrated in Fig. 4. Of course, the sum a+b=2π/3a+b=2\pi/3, but the crucial parameter is the difference: ab0.3a-b\approx 0.3 rad, or 1717^{\circ}. The height of energy barrier at the boundaries of each angular cycle is ΔE0136kBT\Delta E_{0}\approx 136k_{B}T within this model. This is a high energy barrier, so one can be assured that no spontaneous ‘slippage’ of the of the γ\gamma-shaft can occur while its cam is confined inside the α3β3\alpha_{3}\beta_{3} cavity.

Two-state stochastic Brownian ratchet motor

In this section we re-write the original model of Jülicher, Ajdari and Prost [25, 21] for the case of rotary motion, in the simplest possible form. In thermodynamic equilibrium, without external torque, the asymmetry of potential energy E1(θ)E_{1}(\theta) is irrelevant: the detailed balance ensures that the diffusion flux in both directions must be equal. So in spite of the rotational symmetry broken by the slanted potential energy in each period, the thermal motion alone cannot produce unidirectional rotation. In this 120-periodic low-energy state E1(θ)E_{1}(\theta) the bulge in the γ\gamma-shaft (the cam tooth) is locked in one of the three positions around the circle – and the cc-ring only fluctuates confined near the minimum of this torsional elastic energy. These are the fluctuations measured by Junge et al. [6, 26, 29] and simulated by Czub and Grubmüller [27], which we discussed in the previous section.

When an ATP molecule is hydrolyzed in the α3β3\alpha_{3}\beta_{3} complex (with the binding rate konk_{\mathrm{on}}), the confinement of the γ\gamma-shaft cam changes: here we assume it is released and becomes free to rotate inside the α3β3\alpha_{3}\beta_{3} cavity. This means that the system enters the “excited state” E2E_{2} with no rotational confinement – this assumption is an obvious limitation made to simplify the model and make it easily tractable, and we shall discuss later in the text how relevant it is (it turns out that it is not). Free rotational diffusion of the c-ring and γ\gamma-shaft occurs then, with the Gaussian distribution of probability p(Δθ)exp[(θθ0)2/4Dt]p(\Delta\theta)\sim\exp[-(\theta-\theta_{0})^{2}/4Dt]. In the wild type ATPase embedded in its proper membrane, the rotational diffusion constant of the c-ring rotor was measured by several authors and reported, e.g., by Elston et al. [10]: D2104rad2/sD\approx 2\cdot 10^{4}\,\mathrm{rad}^{2}/\mathrm{s}. In many famous experiments observing the F1 rotation in vitro, people were attaching either an actin filament or a gold bead in place of the c-ring – and observing the rotation of such a marker against viscous friction in solution [15, 24, 31]. The diffusion constant D=kBT/ξD=k_{B}T/\xi has been varied over nearly 6 orders of magnitude, depending on the geometry of the marker [24]. For instance, at room temperature the 40-nm gold bead of Yasuda et al. [24] has ξ=2104\xi=2\cdot 10^{-4} pN.nm.s, giving the diffusion constant D2.1104rad2/sD\approx 2.1\cdot 10^{4}\,\mathrm{rad}^{2}/\mathrm{s}: and almost exact match with the membrane friction of the c-ring. Using a 1-μ\mum long actin filament as a marker gives ξ2\xi\approx 2 pN.nm.s [15], producing D2.1rad2/sD\approx 2.1\,\mathrm{rad}^{2}/\mathrm{s}. The authors in the past have incorrectly used the idea of “no-load” velocity at very low friction, but we see that all the increasing friction does is to slow down the free rotational diffusion in the upper unconstrained state R2R_{2}. We shall examine the effect of changing friction on the motor velocity later in the text.

After a characteristic life-time τ2\tau_{2} of this isomerized state where the γ\gamma-shaft could freely diffuse, the α3β3\alpha_{3}\beta_{3} complex returns to its natural state and the cam returns back to a locked position; this may be the same position as when it was released – but due to the free rotational diffusion in the E2E_{2} state, it will more frequently drop into the neighboring position to the left (the closest to the original, as b<ab<a). We can estimate the average angular velocity of the resulting rotation as the ratio of angular step (a+b=120a+b=120^{\circ}) and the total time of this cycle (Δt=1/kon[ATP]+τ2\Delta t=1/k_{\mathrm{on}}[ATP]+\tau_{2}), giving ω0=(a+b)(p+p)/Δt\langle\omega_{0}\rangle=(a+b)(p_{+}-p_{-})/\Delta t, where the probabilities of dropping into the right- and left-side pockets of E1E_{1} are determined by the corresponding error functions from the limited integrals of p(Δθ)p(\Delta\theta). In the limit when the torsional asymmetry (aba-b) is small, this velocity takes a more simple form:

ω0a+b1/kon[ATP]+τ2(Erf[b2Dτ2]Erf[a2Dτ2])kon[ATP]1+τ2kon[ATP]a2b24πDτ2ea2/4Dτ2,\langle\omega_{0}\rangle\approx\frac{a+b}{1/k_{\mathrm{on}}[ATP]+\tau_{2}}\left(\mathrm{Erf}\left[\frac{b}{2\sqrt{D\tau_{2}}}\right]-\mathrm{Erf}\left[\frac{a}{2\sqrt{D\tau_{2}}}\right]\right)\approx\frac{k_{\mathrm{on}}[ATP]}{1+\tau_{2}k_{\mathrm{on}}[ATP]}\frac{a^{2}-b^{2}}{\sqrt{4\pi D\tau_{2}}}e^{-a^{2}/4D\tau_{2}}, (5)

where the subscript in ω0\langle\omega_{0}\rangle indicates the absence of an external torque: a true “no-load” condition of the motor. This rotation velocity is nominally measured in [rad/s]; to convert it into [rps] one has to divide it by 2π2\pi. Here the rate of ATP binding kon[ATP]=κ0exp[ΔμATP/kBT]k_{\mathrm{on}}[ATP]=\kappa_{0}\exp[\Delta\mu_{\mathrm{ATP}}/k_{B}T] can be expressed via the chemical potential Δμ=kBTln[ATP]\Delta\mu=k_{B}T\ln[ATP]. Taking the specific rate of ATP binding kon=4107M1s1k_{\mathrm{on}}=4\cdot 10^{7}\,\mathrm{M}^{-1}\mathrm{s}^{-1} allows converting the ATP concentration of 2 mM to the actual rate of binding given by the product kon[ATP]8104s1k_{\mathrm{on}}[ATP]\approx 8\cdot 10^{4}\,\mathrm{s}^{-1}, or the time interval between the ATP binding events of 13μ\sim 13\,\mus.

Refer to caption

Figure 5: A scheme of two-state Brownian ratchet motor. In the low-energy state the bulge in the γ\gamma-shaft is locked in one of the three positions 120 around the circle – and the cc-ring only fluctuates confined near the minimum of this torsional elastic energy. In thermal equilibrium, there can be no unidirectional motion in spite of the chiral anisotropy. An energy input from ATP hydrolysis causes α3β3\alpha_{3}\beta_{3} isomerization and can disengage the confinement, allowing the cc-ring to fluctuate freely while in this unconstrained excited state. The rate of E1E2E_{1}\rightarrow E_{2} transition is kon[ATP]k_{\mathrm{on}}[ATP], which is an activation function of ATP chemical potential Δμ\Delta\mu, while the rate of the reverse E2E1E_{2}\rightarrow E_{1} transition is controlled by the life-time of the isomerized state of β\beta-subunit (τ2\tau_{2}). On return to its cam-engaged state, the coiled coil has a higher probability (pp_{-}) to end up at 120-120^{\circ} from the original state, than in the +120+120^{\circ} state (p+p_{+}), which results in the average anticlockwise rotation.

Refer to caption

Figure 6: The average speed of free-spinning motor. (a) The rotation velocity as a function of life-time τ2\tau_{2} at several values of [ATP] (given in the plot) and the low-friction regime corresponding to the wild-type F1 ATPase and the in-vitro experiments with a 40 nm gold bead marker. A prominent maximum in the velocity indicates the optimal value for the motor operation τ220μ\tau_{2}\approx 20\,\mus for this resistance regime.  (b) The rotation velocity as a function of ATP concentration, expressed here via the transition rate konk_{\mathrm{on}}[ATP]. The same value of the diffusion constant (rotational friction) is used, and several values of the isomerization life-time τ2\tau_{2} (in seconds) are labelled on the plot. The onset of the plateau and the magnitude of ωmax\omega_{\mathrm{max}} are directly determined by τ2\tau_{2}.

Figure 5 shows the pictorial scheme of this process, while the plots in Fig. 6(a,b) show how the average anticlockwise “no-load” velocity ω0\langle\omega_{0}\rangle depends on the key parameters. First of all, there is the life-time in the isomerized free-rotation state τ2\tau_{2}. This time is not generally known, and the only close measurement reported by Furuike et al. [30] is that of a dwell time of several milliseconds (also see [18]). We assume that the actual life time of the isomerized β\beta-subunit is much shorter. The plot 6(a) is made for the low-friction rotation corresponding to a 40 nm gold bead marker, or the wild type motor, D=2104rad2/sD=2\cdot 10^{4}\,\mathrm{rad}^{2}/\mathrm{s}, and several realistic values of [ATP] given the kon=4107M1s1k_{\mathrm{on}}=4\cdot 10^{7}\,\mathrm{M}^{-1}\mathrm{s}^{-1}. First of all, we see that our concept model, in spite of all its simplifications, is quantitatively producing the values of average rotation velocity in the observed range (spinning at over a 100 rps is clearly realistic). On the other hand, the dependence on the poorly known life time τ2\tau_{2} is very sharp and if one ‘misses’ the optimal value, the rotation velocity drops rapidly. This dependence is easily understood: at very short life-time the cam cannot diffuse too far from its original position in the E1E_{1} periodic potential, and it’s most likely to re-engage in the same position giving no net rotation – at very long τ2\tau_{2} the cam has time to diffuse very far and it becomes relatively equal-probability to re-engage to the left and to the right. It is clear that this is a crucial parameter for evolution to adjust for any given motor and its specific use in the cell.

Plot 6(b) shows the dependence on [ATP] concentration, which enters in our model as the rate of E1E2E_{1}\rightarrow E_{2} transition. As expected, and in good agreement with ‘canonical’ experiments [24, 31], at low ATP concentration the average velocity varies linearly with concentration – while at high concentration it saturates at a maximal value ωmax\omega_{\mathrm{max}} which is controlled by the rate of the reverse E2E1E_{2}\rightarrow E_{1} transition, 1/τ21/\tau_{2}. The change between the two regimes occurs at kon[ATP]1/τ2k_{\mathrm{on}}[ATP]\approx 1/\tau_{2}. It is common in the literature to fit this type of curve to a Michelis-Menten equation, which is indeed what Eq. (5) gives, with

linear:ω0aπDτ2(ab)ea2/4Dτ2kon[ATP],ωmaxaπDτ23/2(ab)ea2/4Dτ2,\mathrm{linear:}\ \ \langle\omega_{0}\rangle\approx\frac{a}{\sqrt{\pi D\tau_{2}}}(a-b)e^{-a^{2}/4D\tau_{2}}\cdot k_{\mathrm{on}}[ATP],\qquad\omega_{\mathrm{max}}\approx\frac{a}{\sqrt{\pi D}\tau_{2}^{3/2}}(a-b)e^{-a^{2}/4D\tau_{2}}, (6)

(still in the nominal units of [rad/s]) maintaining the simplified expanded form for the small torsional asymmetry (ab)1(a-b)\ll 1. Note that the ratio 2a2/D2a^{2}/D is approximately the time for a non-engaged γ\gamma-shaft to diffuse a single 120 period, the ratio of which to τ2\tau_{2} is what effectively controls the magnitude of these expressions.

Let us now examine how this motor operates in different friction regimes. As explained above, for the stochastic motor like this the (rotational) friction does not provide a ‘load’, but simply acts through the changing rate of diffusion, D=kBT/ξD=k_{B}T/\xi. Wishing to compare with the famous experiments of Yasuda et al. [15, 24] which studied a wide range of markers providing different rotational friction constant, we plot the dependence of average velocity ω0\langle\omega_{0}\rangle on this friction coefficient (assuming room temperature of 23C), rather than the diffusion constant DD, see Fig. 7. The log-linear version of this plot (a) shows the exponential decay of ‘no-load’ ω0\langle\omega_{0}\rangle with increasing friction, which is in fact obvious from examining Eqs. (5)-(6). The log-log plot (b) enhances the small change in ω0\langle\omega_{0}\rangle at very low friction (perhaps at unreasonably low value used merely for completeness of exposure). This may seem not in perfect agreement with the results of Yasuda et al. [24] that appear to plateau at ξ0\xi\rightarrow 0. However, would point that our model was ultimately simplified for clarity of concept, and it certainly underestimates the friction in the ‘free-diffusion’ excited state (when we took that the γ\gamma-shaft has no constraint whatsoever). Equally, there are difficulties to actually achieve vanishing friction in experiment, so this small decrease might not have been noticed (as well as the reliability of accurately determine the friction constant limited).

Yasuda et al. [15, 24] fit the curve of ω0\langle\omega_{0}\rangle vs. friction constant ξ\xi by an interpolated formula: ω0=(1/Vnoload+2πξ/M)1\langle\omega_{0}\rangle=\left(1/\mathrm{V}_{\mathrm{noload}}+2\pi\xi/M\right)^{-1}, where their ‘assumed torque’ was 40\simeq 40 pN.nm. We already explained that a stochastic molecular motor does not exert a torque in the unloaded state – it just makes more random steps in one direction than in the other. In the high-friction limit when ξkBTτ2\xi\gg k_{B}T\tau_{2}, our simplified Eq. (5) predicts an exponential drop in the average rotation velocity ω0\langle\omega_{0}\rangle, while the data of Yasuda et al. [15, 24] is probably going broadly over the crossover region.

Refer to caption

Figure 7: The average speed changes with friction resistance. Both plots show the same data of how ω0\langle\omega_{0}\rangle varies with the rotational friction coefficient ξ\xi, at T=23T=23^{\circ}C and [ATP] of 2mM. Several values of τ2\tau_{2} are labelled on the plots. The plot (a) has the linear scale of the ξ\xi-axis and highlights the exponential dependence of ω0(ξ)\langle\omega_{0}\rangle(\xi) at high friction, while the log-log plot (b) allows a much wider range of friction values to be examined.

F1 motor operating against external torque

In real circumstances, the F0F_{0} motor driven by the pmf, originally described by Elston et al. [10] and reviewed in several topical reviews on the subject, exerts a torque on the c-ring, which is passed through the γ\gamma-shaft to the confining region inside the α3β3\alpha_{3}\beta_{3} complex. This torque, or the turning moment MM, is in the direction opposite to the natural anticlockwise rotation of the F1F_{1} motor, and so the two have to compete. Figure 8 shows the pictorial effect of such an external torque on the F1F_{1} operation, slanting both energy states E1E_{1} and E2E_{2} and adding two additional contributions to the average angular velocity of the shaft: ω(M)\langle\omega(M)\rangle. One of these is a drift in the clockwise direction in the free-diffusion excited state E2E_{2}, the other is diffusion to the right in the ground-state periodic potential E1(θ)E_{1}(\theta) because the energy barriers for the forward and backward motion are now different. The first effect (of the free diffusion envelope drift) is accounted for by the shift in the Gaussian exponent of the probability p(Δθ)=exp[(θθ0)2/4Dt+Mθ/2kBT]p(\Delta\theta)=\exp[-(\theta-\theta_{0})^{2}/4Dt+M\theta/2k_{B}T] and is naturally extending the Brownian ratchet approach that has led to Eq. (5). The second effect of the diffusion in a tilted periodic potential is a classical problem carefully studied in the textbook by Nelson [50], improving on the original Feynman’s treatment of the ratchet and pawl problem [51]. The simple Feynman formula has the exponentially diverging velocity at large torque, while the Nelson approach correctly accounts for the viscous drag and results with a linear ‘force-velocity’ relationship in the overdamped molecular system. The formula for the S-ratchet derived in [50] has to be modified because there are two slopes of the potential from its minimum (towards aa and bb), so the final expression becomes a little bit more involved, although the underlying principle of diffusive motion across the effective periodic landscape remains the same. It is also instructive to compare the two versions of this part of this clockwise angular velocity at small torque MM, i.e. in the linear response regime:

ω+FeynmanDkBTeΔE0/kBTM;ω+NelsonDkBT(ΔE0/kBT)2eΔE0/kBT(eΔE0/kBT1)2M.\displaystyle\langle\omega_{\mathrm{+Feynman}}\rangle\approx\frac{D}{k_{B}T}e^{-\Delta E_{0}/k_{B}T}\cdot M;\qquad\langle\omega_{\mathrm{+Nelson}}\rangle\approx\frac{D}{k_{B}T}\frac{(\Delta E_{0}/k_{B}T)^{2}e^{\Delta E_{0}/k_{B}T}}{(e^{\Delta E_{0}/k_{B}T}-1)^{2}}\cdot M. (7)

However, for our practical purposes in this paper, it turns out that with the energy barrier ΔE0136kBT\Delta E_{0}\simeq 136k_{B}T and the external torque not exceeding M50M\simeq 50\,pN.nm (which is equal to 12kBT12k_{B}T) this contribution to the motor action is completely negligible.

The drift of the free-diffusing distribution can be directly incorporated into the expression for the average angular velocity due to the Prost mechanism [25], shifting the mid-point of the spreading free-diffusion distribution p(θ,t)p(\theta,t) in the excited state E2E_{2}, giving the expression, which at M=0M=0 reduces to Eq. (5):

ω(M)a+b1/kon[ATP]+τ2(Erf[b+MDτ2/kBT4πDτ2]Erf[aMDτ2/kBT4πDτ2]).\langle\omega(M)\rangle\approx\frac{a+b}{1/k_{\mathrm{on}}[ATP]+\tau_{2}}\cdot\left(\mathrm{Erf}\left[\frac{b+MD\tau_{2}/k_{B}T}{\sqrt{4\pi D\tau_{2}}}\right]-\mathrm{Erf}\left[\frac{a-MD\tau_{2}/k_{B}T}{\sqrt{4\pi D\tau_{2}}}\right]\right). (8)
Refer to caption
Figure 8: Two competing motors: the role of counter-torque. The modified sketch of the two states of the motor, skewed by the external torque MM from the F0 motor. Now, in addition to the ATP-activated ratchet motor driving the shaft anticlockwise, there are two factors that promote the clockwise rotation: the biased diffusion in the tilted periodic potential E1(θ,M)E_{1}(\theta,M) and the drift of the diffusion envelope with the constant rate MD/kBTMD/k_{B}T.

The plots in Fig. 9 illustrate the predictions of Eq. (8) when the F1 motor is subjected to a counter-torque MM (clockwise, arising from the F0 motor). Both plots are computed for the ‘near-optimal’ value of excited state life-time τ2=50μ\tau_{2}=50\,\mus, see Fig. 6(a) and the friction constant ξ=2104\xi=2\cdot 10^{-4} pN.nm.s, corresponding to the rotational diffusion D=2104rad2/D=2\cdot 10^{4}\,\mathrm{rad}^{2}/s (as in the wild type, or low-friction 40-nm gold bead of Yasuda et al.[24]). The plot 9(a) shows a ‘big picture’ for a wide range of torques, but not permitting to see what happens around M=0M=0. We see that the external torque essentially drives the shaft – in the opposite clockwise directiion showing as the negative ω(M)\langle\omega(M)\rangle in the plot, when the torque is against the natural anticlockwise direction of the F1 spin, or in the positive anticlockwise direction when the external torque works in the same direction as F1. At high enough torque the velocity saturates at a constant plateau value, which is determined by the rate of ATP binding (we continue using the ‘standard’ value for the specific binding rate kon=4107M1s1k_{\mathrm{on}}=4\cdot 10^{7}\,\mathrm{M}^{-1}\mathrm{s}^{-1}), and also the excited state life-time τ2\tau_{2}.

The zoomed-in plot in Fig. 9(b) shows the details of what happens at no or very low external torque. The ‘no-load’ values of the average angular velocity ω0\langle\omega_{0}\rangle depend on the [ATP] as well as on the friction constant as the results in Figs. 6 and 7 have shown. Since the ‘stall’ condition occurs at quite a low value of external torque, a simple expansion of Eq. (8) is justified, and it gives an approximate expression: Mstall(ab)kBT/2Dτ20.15kBTM_{\mathrm{stall}}\approx(a-b)k_{B}T/2D\tau_{2}\simeq 0.15k_{B}T=0.7 pN.nm (this value does not depend on κon\kappa_{\mathrm{on}}, [ATP], or the energy barrier ΔE0\Delta E_{0}, because it is the drift in the assumed ‘free’ state E2E_{2} that MM affects). This is a very low torque needed to stop the F1F_{1}, hence a fully-driven F0F_{0} pmf motor will always ‘win’ and rotate the γ\gamma-shaft clockwise; only a very weak pmf and high [ATP] would allow the F1F_{1} motor to drive the c-ring anticlockwise and increase the pH imbalance by pumping H+H^{+} ions across the membrane against the concentration gradient. We will discuss the F1 ‘efficiency’ in the next section.

Refer to caption
Figure 9: F1 motor operating against external torque M. (a) The overall plots showing the high-torque plateau values of ω\langle\omega\rangle in the wild-type / low-friction conditions (D=2104rad2/D=2\cdot 10^{4}\,\mathrm{rad}^{2}/s), at several values of [ATP]. (b) The same plots of Eq. (8), zoomed into the low-MM region. Here the values on the M=0M=0 axis represent the ‘no-load’ velocity ω0\langle\omega_{0}\rangle of the F1 motor. We see the ‘stall’ point MstallM_{\mathrm{stall}} when the counter torque stops the natural bias of the F1 motor (see text).
Refer to caption
Figure 10: Counter-torque effect on F1 motor. (a) The average velocity of γ\gamma-shaft spin vs. the [ATP] concentration for several values of counter-torque MM, the wild-type / low-friction regime, and the life time τ2=50μ\tau_{2}=50\,\mus. The M=0M=0 curve here is the same as the 50μ50\,\mus curve in Fig. 6(b). As the opposite torque increases the spinning direction reverses into the negative (clockwise) velocity: the F0 motor takes over.  (b) The effect of changing friction, again plotting the average velocity for several values of MM, τ2=50μ\tau_{2}=50\,\mus, and [ATP] = 1 mM (corresponding to the binding rate konk_{\mathrm{on}}[ATP] =4104s1=4\cdot 10^{4}\,\mathrm{s}^{-1}). The M=0M=0 curve here is the same as the 50μ50\,\mus curve in Fig. 7(b). Increasing counter-torque brings forward the ‘stall’ point of the motor.

An important observation we can make from Fig. 10(a) is that the whole ATPase must have some amount of ATP hydrolysing, in our model – generating ‘excitation’ out of the confinement in the periodic potential E1(θ)E_{1}(\theta). When there is no or little ATP-activation, the motor will not turn even under a significant torque. This is because the elastic energy barrier ΔE0\Delta E_{0} is so high that the moderate external torque cannot break through these barriers and force the backward motion. However, once the rate of ATP binding increases above 100-1000 s-1, the frequent periods of un-constrained γ\gamma-shaft allow a rapid backward drift in the excited state E2E_{2}. Another unexpected result of our model is illustrated in Fig. 10(b), pointing that at very high friction the counter-torque MM has very little effect: the clockwise drift in the un-constrained state is too slow, while the forward (anticlockwise) bias is determined by the fixed elastic asymmetry of E1(θ)E_{1}(\theta).

Discussion

Let us now discuss the energy balance of the F1 motor operation and the motor efficiency. It is a traditional question to ask, when dealing with an engine, and in the case of F1 it has several misconceptions in the literature that we would like to address.

The chemical energy obtained from the hydrolysis of one ATP molecule under intracellular conditions is given by the expression: ΔG1=ΔG0+kBTln([ADP][Pi]/[ATP])\Delta G_{1}=\Delta G_{0}+k_{B}T\ln\left(\mathrm{[ADP][Pi]/[ATP]}\right), with ΔG0=50\Delta G_{0}=-50 pN.nm (or equivalently: 12kBT12k_{B}T) is the free-energy change per molecule of ATP hydrolysis at pH=7. Taking intracellular concentrations [ATP] \approx [Pi] \simeq 1 mM,[16] we obtain the chemical energy released per step: ΔG1=97\Delta G_{1}=-97 pN.nm (23.5kBT\simeq 23.5k_{B}T) at [ADP]= 10 μ\muM, ΔG1=88\Delta G_{1}=-88 pN.nm (=21.2kBT=21.2k_{B}T) at [ADP]= 0.1 mM, and ΔG1=78\Delta G_{1}=-78 pN.nm (=18.9kBT=18.9k_{B}T) at [ADP]= 1 mM, i.e. not changing very dramatically. Per unit time, the chemical energy input into F1 operation is therefore equal to: Q˙=kon\dot{Q}=k_{\mathrm{on}}[ATP]ΔG1\cdot\Delta G_{1}; for [ATP] = 1 mM this gives an estimate Q˙3106\dot{Q}\simeq 3\cdot 10^{6} pN.nm/s.

The useful work produced by the F1 motor in its active operation regime is determined by the average angular speed ω\langle\omega\rangle against the counter-torque MM, while it rotates anticlockwise (i.e. able to drive against MM). In contrast, passive regimes of this motor are those where the average rotation spin is along the direction of external torque, in which case the external mechanical work performed on F1 is dissipated into heat (or leads to the ADP + Pi \rightarrow ATP synthesis and chemical energy storage – in that case the useful work of the F0 motor is of interest, see [10] for detail). These regimes are clear in Fig. 9, where the active regime is in the sector of positive MM and ω\langle\omega\rangle in our notation. In this case the useful work per unit time is W˙=ωM\dot{W}=\langle\omega\rangle\cdot M, where Eq. (8) has to be employed and the velocity in [radian/s] units must be used. The motor efficiency in this mode of operation is η=W˙/Q˙\eta=\dot{W}/\dot{Q}. The useful work (and the efficiency η\eta) is zero when M=0M=0 (in ‘no-load’ conditions), and equally zero at the ‘stall’ point where ω(M)=0\langle\omega(M)\rangle=0. The maximum of the useful work lies between these two limits, and Fig. 11 shows its value and position for the wild-type level of friction (ξ2104\xi\simeq 2\cdot 10^{-4} pN.nm.s), the life-time of the excited state of β\beta-subunit isomerization τ2=50μ\tau_{2}=50\,\mus, and several values of [ATP]. For instance, when [ATP] = [ADP] = 1 mM, the maximum rate of useful work rate is W˙200\dot{W}\simeq 200 pN.nm/s.

Refer to caption
Figure 11: Useful work of F1 motor. The rate of useful work W=ωMW=\langle\omega\rangle\cdot M plotted against the counter-torque MM for several values of [ATP], the wild-type / low-friction regime, and τ2=50μ\tau_{2}=50\,\mus. The maximum useful work is found approximately half-way to the ‘stall’ torque.

The resulting calculated ‘efficiency’ of the F1 motor is very low, contrary to many statements in the literature – and contrary to a generic expectation for a bilogical machine to be very efficient. However, we must ask: what is the F1 motor for? It’s couterpart F0 has a clear purpose: to drive the γ\gamma-shaft clockwise and ‘forcefully’ induce the ADP + Pi \rightarrow ATP synthesis in the β\beta-subunits. F1 does not have a purpose to be ‘strong’ enough to over-perform the working F0 and induce the anticlockwise rotation: in natural conditions it should only ‘win’ when the F0 is dormant, i.e. there is an insufficient pmf to drive it. This is consistent with a very low vale of ‘stall’ torque MstallM_{\mathrm{stall}} calculated earlier. Therefore it is misleading to evaluate its efficiency by counting the useful mechanical work against the counter-torque MM. The purpose of F1 is to rebuild the H+ gradient across the membrane, and the relevant efficiency has to be evaluated with this ‘useful outcome’ in mind. This is discussed in detail by G. Oster et al. [10] in their theory of F0 motor. Given that 4 protons pass through the rotor per ATP step against the membrane potential Δ\DeltapH, the useful work is 4eΔ4e\DeltapH per step, where ee is the unit charge. Equivalently, the rate of work W˙p=(12e/2π)ωΔ\dot{W}_{p}=(12e/2\pi)\langle\omega\rangle\cdot\DeltapH, where the average velocity is in [radian/s] units. When there is no H+ gradient at all, this work vanishes and the efficiency is very low. When Δ\DeltapH reaches the value to generate Mstall1M_{\mathrm{stall}}\simeq 1 pN.nm from the F0, the rotation stops and the useful work rate vanishes again. The maximum efficiency of proton transport is, again, in between these two limits: ηp=W˙p/Q˙=4eΔ\eta_{p}=\dot{W}_{p}/\dot{Q}=4e\DeltapH/ΔG1/\Delta G_{1}. We do not know at which Δ\DeltapH this occurs, but to test the values let us take an example value Δ\DeltapH = 100 mV: this gives 4eΔ4e\DeltapH = 16kBT16k_{B}T and η75%\eta\simeq 75\% given the values of chemical energy ΔG1\Delta G_{1} discussed above. Obviously in most cases the membrane potential will be much lower than this, because it is to precisely rebuild this proton gradient that F1 will work.

This work has presented a self-consistent analytical model of the ATP-driven F1F_{1} motor of the ATP synthase complex: something that has been missing in understanding this remarkable molecular machine (in contrast, the pmf-driven F0F_{0} motor has been understood well for many years). It is important to emphasize that our physical model does not use any detailed molecular structure of the machine – it only needs several key elements that are present and not disputed: the two-strand coiled-coil filament providing the torsional elastic bias, the 120 periodicity of the γ\gamma-shaft confinement, and the notion that on ATP binding this confinement is released. These elements, with the added Brownian motion, are enough to produce a working physical model of the rotary motor.

The most important and new contribution is the finding that the torsional elastic energy of the coiled coil filament (such as the γ\gamma-shaft here) is asymmetric. The very small fluctuations about the minimum of the this energy are described by a proper linear response, with the torsional modulus well-studied in many experiments and simulations. However, as soon as the twisting of the coiled coil becomes more significant, the asymmetry between clockwise and anticlockwise motion becomes relevant. In fact, on careful examination of the experimental probability distributions of the free-fluctuating filament [29, 27] one can actually see this asymmetry at larger angles, so we believe this is a genuine effect – probably with applications other than this particular motor.

After over 20 years of detailed experimental studies of ATPase we were able to find the data for all elements of the model in these experiments and so there are really no free parameters – with a possible exception of τ2\tau_{2}: the life time of the ‘excited’ second state when the cam-end of the γ\gamma-shaft is not tightly confined inside the α3β3\alpha_{3}\beta_{3} cavity. We were tempted to take the value of τ210μ\tau_{2}\approx 10\,\mus that optimizes the motor velocity almost universally at any ATP concentration, but we are aware that the only related measurement we know (by Furuike et al.) – that of a dwell time – is much longer, so we used τ250μ\tau_{2}\approx 50\,\mus in all subsequent graphs. Still, we find it remarkable that our model (with all its simplifications and streamlining) is predicting the rotation velocities and torque, and their dependence on ATP, with quantitative accuracy.

The greatest weakness of our model is the assumption that the γ\gamma-shaft is unconstrained in the ATP-binded state and is completely free to rotate (only against the viscous friction provided by the c-ring in the membrane, or any artificially added construct in-vitro). We realise that in reality the torsional energy of this ‘excited’ state E2E_{2} is likely to be θ\theta-dependent as well, which would affect the effective diffusion constant we used. One might say that we always underestimate the friction in the model, although this is a less straightforward non-linear effect. This would explain the small but noticeable differences in our results when plotted against friction constant ξ\xi in Fig. 7 and the experimental results of Yasuda et al. (which were discussed in the text). Our aim was the maximally streamlined, simplified model that would highlight the key principles of ATP-driven rotary motor based on the torsionally-asymmetric filament axle, and further work should certainly improve on its various aspects using the details of molecular structure in that state.

Although in this paper we discussed the F-type ATPase, there are of course very similar rotary motors related to it – in particluar the vacuolar V-ATPases [52, 53]. Without going into details, the key structural elements required for our motor mechanism are recognizably the same in the V-ATPase: the stator with a coiled coil drive filament inserted and constrained in its cavity, attached to a ring rotor embedded in the membrane. It would be interesting to re-examine the action of these other rotary motors driven by ATP in view of the findings here. The H+ or the Na+ pumping resulting from driving this rotor may have specifics in different biological situations, but the fundamental principle of the rotary motor driven by Brownian motion of the torsionally asymmetric filament switching between two states -confined and free- should be universal.

Acknowledgements

The authors have benefited from extensive discussions with J. R. Blundell, C. Prior, and G. Fraser, as well as the conceptual input from J. E. Walker (who has originally suggested that the torsional energy of the γ\gamma–shaft might be asymmetric). This work has been funded by the {100+100+100} program by the Ukrainian Government, and the EPSRC Critical Mass Grant for Cambridge Theoretical Condensed Matter EP/J017639.

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