Vol. 151, No. 12 | https://doi.org/10.1085/jgp.201812280 | November 1, 2019

In the Appendix of this paper, two transition rates, k+ and k, did not include the effect of the energy barrier between the two conformational states. The inclusion of this barrier effect required redefinition of those two transition rates. In addition, there were typographical errors in Eqs. 38 and 41, which have been corrected. The corrections appear in bold below. In addition, the values on the x axis in Fig. A3 were changed to kilohertz. These errors were fixed in the online article but appear in print and in the PDF.

Consider a membrane molecule with two discrete conformational states, C0 and C1, and let the transition rates k+ and k between them be schematically expressed as
Let P1 be the probability that the molecule in state C1. Then, the probability P1 can be expressed by the transition rates
(A1)

where q is the charge transferred across the membrane during conformational changes, V the membrane potential, V1/2 the half-point voltage of the transition, and β = 1/kBT with the Boltzmann constant and T the temperature.

If q is positive, the energy level of the state C1 is higher, reducing P1 as the membrane potential V rises. For prestin in outer hair cells, which shorten on depolarization, if we choose C1 as the shortened state, the unit length change a on conformational change is negative, and then we have q < 0. Notice that the quantity a does not appear in Eq. A1.

The transition rates that satisfy Eq. A1 can be given by
(A2)
(A3)
Here, α is a constant between 0 and 1 and k¯+ and k¯ are transition rates at the operating voltage V0, around which V changes with time. The exponential function can be linearized because we assume VV0 is small. These rates at the operation point are expressed by

where the transition rate k¯ is due to an energy barrier between the two states, excluding the difference in the energy levels, which are voltage dependent.

The time dependence of P1 can be expressed by the rate equation
(A4)
Now we introduce sinusoidal voltage changes of small amplitude v on top of constant voltage V¯, i.e., V=V¯+vexp[iωt], where ω is the angular frequency and i = √−1. Then the transition rates are time-dependent due to the voltage dependence Eq. A1. They satisfy
(A5)
Notice k¯ and k¯+ are time independent, and we assume that v is small so that βqv << 1. A set of k+ and k that satisfies Eq. A5 can be expressed
(A6)
(A7)
If we express P1=P¯1+p1exp[iωt], we have respectively for the 0th and first order terms (Iwasa, 1997)
(A8)
(A9)

Notice that p1 does not depend on the factor α.

Eq. A9 leads to voltage-driven mechanical displacement ap1 exp[iωt] with
(A10)
where P¯±=P¯1(1P¯1). The amplitude |χ| of the motile response is given by
(A11)
Charge displacement is expressed by qp1 and the contribution to complex admittance Y(ω) is given by (q/v)(d/dt)p1 exp[iωt] (Iwasa, 1997). The contribution to the membrane capacitance is Cnl(ω) = Im[Y(ω)]/ω and therefore
(A12)

This contribution to the membrane capacitance is commonly referred to as NLC because it shows marked voltage dependence. Notice also that the above derivation evaluates the contribution of a single unit of motile element. For a cell that contains N motile units, both |x| and Cnl need to be multiplied by N.

The roll-off frequency ωg due to gating is expressed by
(A13)

With Eqs. A6 and A7, this means that 1/ωg rises at both ends of the membrane potential because α can take any value between 0 and 1. That means ωr can be asymmetric unless α = 1/2.

In the special case of α = 1/2, k¯+ = 1/k¯. If we define b(V)=exp[βq(V¯V0)/2], then
(A14)

which resembles the bell-shaped voltage dependence of nonlinear capacitance at low frequencies (ω → 0).

For motile membrane proteins based on mechanoelectric coupling, charge transfer is affected by mechanical factors. Here, we assume the cell is cylindrical as in the case of cochlear outer hair cells and approximate it as a one-dimensional object (Fig. A1).

Supposing charge transfer q is associated with a change a in the length of the cell, Eq. A1 should be replaced by
(A15)
where V1/2 is the midpoint voltage of the Boltzmann function and F is the axial force. Eq. A16 and A17 for the transition rates should be
(A16)
(A17)

where f is a small change in the axial force F that corresponds to a small voltage change VV0. The transition rates k¯+ and k¯ are redefined by including the effect of the axial force F0 of the resting condition. For the rest of the present paper, the dependence on the value of the parameter α does not appear except for ωg.

With a shorthand notation P¯±(=P¯1(1P¯1)), the change of the conformational probability p1 can be driven either by changes in the voltage as well as force:
(A18)

If the motile element is driven by voltage changes, p1 is proportional to v and mechanical displacement is given by ap1.

Movement is driven by a deviation from Boltzmann distribution. When voltage changes with amplitude v is imposed, p1 as expressed by Eq. A18 is the goal of the drive. Since this force is countered by viscous drag (with drag coefficient η), the equation of motion in the frequency domain can be expressed by
(A19)

Notice here that the equilibrium transition rates here depend not only on V¯ but also on F¯ because the motile element based on piezoelectricity is sensitive to mechanical force as well as the membrane potential.

Eq. A19 leads to
(A20)

similar to the previous treatment for the special case of without inertial loading (Iwasa, 2016). Here, the viscoelastic relaxation frequency is defined by ωη = k/η. It is essentially an equation for viscoelastic relaxation, adding a low pass filter to the motile mechanism. It is consistent with previous expressions in both extremes, i.e., ωg → ∞ and ωη → ∞.

The voltage dependence of NLC and that of motile response are identical. In the following, we show that mechanical load with complex relaxation can lead to discrepancy in their frequency dependences.

Let X represent the point that links a spring k1 with a dashpot η1. Let Y represent the point that joins the spring k1 with the rest, which includes a spring k2, a dashpot η2, and a driver (Fig. A2). The equations of motion of this system driven by force F generated at the location P can be expressed
(A21)
(A22)
If the force generator operates at a frequency ω with small amplitude on top of its steady value F¯,F = F¯ + f exp[iωt]. By letting the small amplitude components of X and Y with frequency ω represented respectively by x and y, Eqs. A21 and A22 turn into
(A23)
(A24)
Eq. A23 can be rewritten as
(A25)

which indicates that the quantity x is obtained by low-pass filtering y with roll-off frequency of ω1(= k1/η1).

By introducing a characteristic frequency ω2(= (k1 + k2)/η2), Eq. A24 can be transformed into
(A26)
Elimination of x from Eq. A26 with the aid of Eq. A25 leads to
(A27)
(A28)
An approach analogous to those in the previous sections lead to an equation
(A29)
Since we have y = ap, this equation leads to
(A30)

Eqs. A25 and A30 show that the relationship between y and v has three adjustable parameters, ω1, ω2, and kr (= k1/k2). For an example of the frequency dependence of y, see Fig. A3.

The frequency dependence of NLC is the same as that of y. Motile response x is obtained by low-pass filtering y. The roll-off frequency of y is voltage-dependent due to the voltage dependence of ωg.

With the connectivity of Fig. A2, it is difficult to make high frequency roll off of both quantities as similar as the experimental data. For y to roll off at relatively high frequency, ω1 has to be small and ω2 has to be large because G1 must be small as required by Eq. A30. This requirement makes x roll off at a frequency much lower than y does (Fig. A3).

The model described above predicts a difference between x and y much larger than the experimentally observed frequency dependence. Let us add a spring across the upper dashpot (Fig. A4).

The set of equations that describe this configuration are
(A31)
(A32)
If force F is driven at angular frequency ω with amplitude f, the equation is transformed into
(A33)
(A34)

where variables in the lower case x and y are the complex amplitude of frequency ω.

Eqs. A33 and A34 can be rewritten as
(A35)
(A36)
In the manner similar to Eq. A27 and A28 in the previous case, these equations can be expressed as
(A37)
(A38)

which corresponds to G1(ω) in the previous case.

Since force generation is associated with spring k2 in the manner similar to the previous case, we obtain
(A39)

and x is obtained with Eq. A35.

If the cell contains N motile units, a should be replaced by aN. For numerical analysis, the number of parameters can be reduced by introducing the ratios k02(= k0/k2), k12(= k1/k2), ω0(= k2/η0), and ω2(= k2/η2), and x and y are expressed by
(A40)
(A41)

The corresponding equations (Eq. 10) in the main text are expressed with linear frequency f instead of angular frequency ω. Because these equations depend only on frequency ratios, no extra factor appears.

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