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* Physics Department E22, Technical University Munich, 85747 Garching, Germany; and
J. Stefan Institute, 1000 Ljubljana, Slovenia
Correspondence: Address reprint requests to Matthias Rief, E-mail: mrief{at}ph.tum.de.
| ABSTRACT |
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36 nm over a wide range of forces from 5 pN forward to 1.5 pN backward load. We also find two force-dependent transitions in the chemomechanical cycle. The slower ADP-release is rate limiting at low loads and depends only weakly on force. The faster rate depends more strongly on force. The stronger force dependence suggests this rate represents the diffusive search of the leading head for its binding site. In contrast to kinesin motors, myosin-V's run length is essentially independent of force between 5 pN of forward to 1.5 pN of backward load. At superstall forces of 5 pN, we observe continuous backward stepping of myosin-V, indicating that a force-driven reversal of the power stroke is possible. | INTRODUCTION |
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The motion of molecular motors is affected by mechanical loads. Studying the stepping kinetics as a function of mechanical load can thus provide detailed insights into the force-dependent rates in the chemomechanical cycle. This has already been achieved for other linear motors, like kinesin (Visscher et al., 1999
) and myosin-VI (Altman et al., 2004
). Although the force dependence of the average speed of myosin-V has been measured (Mehta et al., 1999
; Uemura et al., 2004
), an identification of the load-dependent transitions is still missing. This is especially important since models for myosin-V motility call for a strong load dependence of ADP release for the communication between the two heads (Veigel et al., 2002
). Moreover, in its physiological environment, myosin-V colocalizes with other motors like kinesin in melanosome transport (Huang et al., 1999
; Mermall et al., 1998
). Situations where myosin-V is involved in a tug-of-war with a much stronger kinesin motor with stall forces in the 5 pN range and above are therefore likely to occur. Using an optical trap with force feedback control, we studied the effect of sub- and superstall forces in both forward and backward direction on myosin-V stepping kinetics.
| MATERIALS AND METHODS |
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Bead preparation
Polystyrene beads (1 µl; diameter: 356 nm, 2.5% solid; Polysciences, Epelheim, Germany) were incubated in 99 µl of buffer (25 mM imidazole-HCl, pH 7.4; 25 mM KCl; 1 mM EGTA; 10 mM DTT; 4 mM MgCl2) containing 10 µg/ml bovine serum albumin to preblock the surface. After 3 min of incubation, 30 pM myosin-V was added. At this motor concentration, only one out of three beads moved. This ensured that >80% of the beads that moved were driven by a single motor molecule (Block et al., 1990
; Rief et al., 2000
). Motility buffers (Mehta et al., 1998
) (20°C23°C) included 25 mM imidazole-HCl, pH 7.4; 25 mM KCl; 4 mM MgCl2; 1 mM EGTA; 10 mM DTT; 2 mM ATP; and an oxygen-scavenging system to retard photobleaching (6 µg/ml glucose oxidase, 1 µg/ml catalase, and 1% glucose).
Optical tweezers experiments
Beads with motors were optically trapped and positioned over fluorescently labeled actin filaments attached to a coverslip via NEM-myosin-II (Veigel et al., 1998
). The optical tweezers were similar to the instrument described in Finer et al. (1994)
using an Nd:YAG Laser (1064nm; Spectra Physics, Darmstadt, Germany) and a custom built inverted microscope with a high numerical aperture objective (NA = 1.45; Olympus Deutschland, Hamburg, Germany). The position of the trapped beads was monitored using bright-field imaging onto a quadrant photodiode (SPOT4D; UDT Sensors, Hawthorne, CA). The sample was mounted on a piezo table (P-517.3CL; Physik Instrumente, Karlsruhe, Germany) controlled by a feedback loop via a digital signal processor board (M62; Innovative Integrations, Simi Valley, CA). This feedback loop with a response time of
10 ms maintained a constant separation between the bead and the center of the tweezers, resulting in a constant force on the motor protein (Lang et al., 2002
). Data were acquired through an analog-digital converter (MIO-16XE-50; National Instruments, Munich, Germany) with a sampling rate of 1 kHz. Actin filaments were simultaneously visualized by total internal reflection fluorescence microscopy using a frequency doubled Nd:YAG Laser (532 nm; Coherent Deutschland, Dieburg, Germany) and a CCD camera (Gen IV, Pentamax; Roper Scientific, Munich, Germany). During a run, the trap stayed at a fixed position and the sample with aligned actin filaments was moved by the piezo table following the steps of the motor (Fig. 1). Using this long-range feedback, full runs of myosin-V up to several micrometers in length could be observed without stall. The trap stiffness was calibrated for each trapped bead separately from the amplitude of the thermal diffusion (Svoboda and Block, 1994
), typical trap stiffness values being 0.020.07 pN/nm. For some beads, calibration was cross-checked by the 3-dB corner frequency in the diffusion power spectrum. The typical corner frequency for a free trapped bead with a diameter of 350 nm was between 1 and 2 kHz. Binding of motors to the actin filament generally reduces the noise level in the position signal of a trapped bead due to additional stiffness originating from the myosin-actin cross-link. Since the stiffness of the cross-link increases further with applied tension, we saw a characteristic decrease in the noise levels of attached motors with increasing load. This was reflected in a drop of the standard deviation of the position signal of the trapped bead from
11 nm for applied loads of 0.7 pN to
4 nm at 5 pN. The standard deviation of the free bead position signal at a spring constant of 0.02 pN/nm was
14 nm.
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and
:
![]() | (1) |
![]() | (2) |
and
for different loads. Since the first data point in the dwell time distributions contains the fastest events, it may be compromised by missing these events due to limited detector response time. We therefore excluded this point from the fits. We also verified the robustness of the fitting procedure by analyzing simulated histograms. As long as the fast rate did not largely exceed the inverse of the bin width (50 s1), this method was found to be robust for histograms containing 1000 data points. To further check for possible artifacts due to the limited response time of the feedback system (
10 ms), we simulated runs for different values of
and
and analyzed the dwell time distributions. We modeled the detection probability of our detector as a function of dwell time by an error function with a rise time (detection probability = 0.5) of 20 ms. We found that for given values of
and
fits to the full as well as to the cut distributions reproduced the values faithfully. However, for simulated kinetics with
the fit returned values of
50 s1 for the cut distributions, indicating that we could not resolve higher values due to our limited feedback response time.
Run lengths were tabulated manually. In our analysis, a run is defined as the distance the motor runs once a preset force is achieved until it detaches from the actin filament and is pulled back by the trap. In several records, the motor reattached to the filament before reaching the limit of the feedback range and started running from another point of the actin filament. If the motor was pulled back by more than
2 step sizes, the event was considered a new run.
| RESULTS |
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Step size and dwell time at substall forces
We measured step sizes and dwell times of myosin-V under backward loads ranging from 0.7 to 1.5 pN (Fig. 2). Step sizes are distributed between 20 and 50 nm centered around 36 nm (sample histogram in Fig. 2 A). Although dwell time distributions are nearly single exponential, they do exhibit a peak due to the sharp decrease toward short dwell times, which indicates that more than one process is rate limiting in the chemomechanical cycle of myosin-V (Fig. 2, BD). The simplest kinetic scheme consistent with these dwell time distributions involves two sequential irreversible steps (Eqs. 1 and 2). As shown in earlier work (Rief et al., 2000
), the slower of the two rates k2 can be identified as ADP-release. We find that both rates
and
are force-dependent.
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1.7 pN, we could not observe continuous forward motion of the motor under constant load conditions. This value lies below values of stall forces under variable load conditions published earlier (Mehta et al., 1999
Step size and dwell time at superstall forces
To investigate the behavior of myosin-V under superstall forces in both backward and forward direction, we had to adapt our experimental procedure since a molecular motor will never step to superstall forces by itself. With a period of 3 s, we switched the feedback setpoint between 5 pN forward and 5 pN backward loads (Fig. 3). In the following, we will denote forces in forward direction by negative numbers. With no motor attached to the actin filament, the feedback tried to reach the setpoint force, and the stage rapidly moved to the respective limits of the feedback range (±1500 nm, Fig. 3 A). If a motor attached to the actin filament while the piezo stage was at an intermediate position between the selected limits, the feedback could keep the force constant and followed the steps of myosin-V. Examples for stepping at 5 and 5 pN, respectively, are shown in Fig. 3 B. In the 5 pN backward load regime, the feedback trace shows backward steps of myosin-V. We observed up to six backward steps in a row.
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36-nm backward steps upon application of the 5 pN backward force (Fig. 3 C, middle trace). The distribution of binding distances is shown in Fig. 3 D. The binding distance is the distance a motor is pulled back by the feedback before it rebinds to the actin filament (arrows in Fig. 3 C). The histogram shows a prominent peak at distances shorter than 50 nm (lowest bin), whereas higher binding distances occur much less frequently and are evenly distributed over the whole range (Fig. 3 D, bottom). The peak at steps up to 50 nm reflects backward steps, whereas the evenly distributed population at larger binding distances reflects rebinding events. The noticeable fraction of steps between 50 nm and 100 nm in the histogram presumably represents fast consecutive steps we could not resolve. To support the interpretation that the distribution in Fig. 3 D indeed reflects two different processes, we compared reduced
for a model for a single process (steeply decaying single exponential with zero offset) and a model for a single process plus an even distribution at high distances (single exponential with nonzero offset). The
improved from 1.6 to 0.6. Step sizes and dwell times for 5 pN backward steps and 5 pN forward steps are summarized in Fig. 4, AD. The step size distributions are again centered around 36 nm and are similar to those at lower forces. Dwell times for forward loads can be modeled by the same kinetic scheme (Eqs. 1 and 2) as for backward loads. The dwell time distribution of backward steps seems to be single exponential with a rate constant of (7 ± 1) s1 (Fig. 4 D).
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and
obtained from dwell time histograms as described above. Fig. 5 A shows the faster rate,
and Fig. 5 B describes the force dependence of the slower rate,
Forces couple to chemical rates according to Bell (1978)
![]() | (3) |
is the transition rate at zero load,
is the distance from the ground state to the transition state for the respective transition in the motor energy landscape,
is the Boltzmann constant, and T is the absolute temperature. The slower rate
follows Eq. 3 with d2 = (0.3 ± 0.2) nm and k02 = (12 ± 2) s1 for both backward and forward loads. For backward loads, the faster rate
can be described by d1 = (3 ± 2) nm and k01 = (60 ± 30) s1. However, toward forward loads, values are compromised by the detection threshold of our instrument (see Materials and Methods). We therefore put these values in brackets (Fig. 5 A) and did not include them into further analysis of the force dependence of
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To check the statistical relevance of the obtained results, we computed reduced
values for the fits yielding the load-dependent rates
and
in Fig. 5, A and B, and compared these to the respective null hypothesis that the rates do not depend on load. For rates
and
the
for the null hypothesis increased by a factor of 10 as compared to the best fit.
To confirm our findings that the myosin-V cycle contains two force-dependent transitions, we also analyzed the overall velocity of the motor as a function of force. Fig. 5 C shows the force dependence of the measured average velocity v. The fit was done using a model with two force-dependent rates:
![]() | (4) |
Run length
We measured run length distributions
for forward movement at forces ranging from 5 to 1.5 pN (Fig. 6, AD). All run length distributions closely follow a single exponential distribution:
![]() | (5) |
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Fig. 6 F shows the run length distribution for backward movement at 5 pN. It also shows a single exponential distribution but with a shorter characteristic run length of
80 nm.
| DISCUSSION |
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12 s1 (De La Cruz et al., 1999
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The slightly increased number of measured step sizes between 10 and 20 nm in Fig. 2 A may reflect an additional population of substeps as recently reported (Uemura et al., 2004
). However, we do not consistently observe that subsequent substeps add up to a full step.
Force-dependent transitions in the chemomechanical cycle
At backward loads between 0.7 and 1.5 pN, we find two force-dependent rates. The slower rate,
previously identified as ADP release (Rief et al., 2000
), depends only weakly on force with a transition state position (Eq. 3) of d2 = (0.3 ± 0.2) nm (Fig. 5 B), whereas the faster rate,
exhibits a stronger force dependence with d1 = (3 ± 2) nm (Fig. 5 A). Supporting this, similar values for the force dependence of
and
also fit the overall average velocity (Fig. 5 C). We conclude that in a double headed myosin-V, ADP-release is only weakly force dependent. Even at forward forces of up to 5 pN, the motor runs faster by only a factor of
1.5. At first sight this result appears at odds with studies of single headed myosin-V constructs showing a 5-nm portion of the motor power stroke coupled to ADP release (Veigel et al., 2002
). A strong sensitivity of this transition on force would therefore be expected, assuming the transition state position d is placed somewhere in the middle of this transition. Moreover, single-molecule measurements with smooth muscle myosin (Veigel et al., 2003
) have shown a much stronger force dependence of ADP release (d = 1.3 nm) on single smooth muscle myosin cross-bridges. Recently Vilfan (2005)
is suggesting that internal conformational transitions within a two-headed motor with both heads firmly attached to the actin filament will hardly affect the center of mass position of this motor. He calculated that a conformational change on the order of 5 nm within a single-headed construct will lead to only a movement of the center of mass of a double headed motor well below 0.2 nm. The conformational change will be mostly absorbed by the bending of the lever arms. This argument explains our observation that ADP-release in a double headed motor can be largely insensitive to external forces (Fig. 5 B), whereas in the single headed motor ADP-release may strongly depend on force. Our results are therefore still in agreement with the widely believed mechanism of internal strain coordinating the two heads by slowing down ADP-release in the head experiencing backward strain and accelerating ADP-release in the head pulled forward (Fig. 7 III) (Rief et al., 2000
; Rosenfeld and Lee Sweeney, 2004
; Veigel et al., 2002
). This result offers an intriguing insight into how nature can design a double headed motor mechanically robust against external forces by coupling two heads, each of them being force sensitive. This robustness is especially important considering that tug-of-war scenarios between myosin-V and, e.g., kinesins are likely to occur in vivo. Interestingly, Altman et al. (2004)
have recently reported a small load dependence of ADP-release at saturating ATP conditions also for myosin-VI.
Analyzing the distributions of dwell times under constant load allows direct observation of the load dependence of ADP-release. Recently, Uemura et al. (2004)
have interpreted a strongly load-dependent rate with a transition state position, d
12 nm as ADP-release. As a consequence of such a strong load dependence, ADP-release under zero load would have to occur at a rate of
1000 s1. This is hard to reconcile with a value of
12 s1 measured in various assays (De La Cruz et al., 1999
; Mehta, 2001
; Rief et al., 2000
; Rosenfeld and Lee Sweeney, 2004
; Vale, 2003
; Veigel et al., 2002
). On the other hand, an additional load-dependent rate with such a large d could explain the sharp drop of velocity close to stall also in our data.
In contrast to ADP-release, we find that the faster of the two rates,
shows a stronger force dependence in the backward force regime with d1 = (3 ± 2) nm (Fig. 5 A). It is important to note that the two-rate model (Eq. 1) we use to analyze our distributions is the simplest approximation, and
is merely a compound rate reflecting the sum of all faster transitions within the chemomechanical cycle of the motor. As
exhibits a pronounced force dependence in the backward load regime with a large transition state position, considerable movement along the actin filament must be associated with it. Since all conformational transitions in a state with both heads bound will not lead to a considerable center of mass motion (Vilfan, 2005)
, this transition probably occurs in a conformation with only one head bound. We can therefore rule out the 5-nm portion of the power stroke associated with ADP-release as a candidate. Only two possible candidates for
thus remain: the main power stroke or the diffusional search of the leading head searching for its correct binding site. Since part of the diffusional search will be absorbed by building up internal strain, this process will only lead to a center of mass motion of
5 nm (Veigel et al., 2002
). We favor the latter model for two reasons: First, a diffusive search is likely to have a transition state very close to the completion of its motion, and a value for d1 = (3 ± 2) nm comes close to the expected 5 nm. Second, if the transition state for the main power stroke were positioned so closely to the starting conformation, the kinetics for the power stroke would still be
20 s1 at stall force conditions of 1.7 pN (Eq. 3), and we would expect stall to be characterized by rapid oscillations between pre- and post power stroke conformations, which we do not observe.
Backward steps
At superstall forces of 5 pN, the motor can no longer step forward but rather performs backward steps. There are several possibilities how backward stepping of molecular motors can be coupled to the kinetic cycle. In the case of kinesin, for example, backward stepping could be correlated with ATP hydrolysis (Nishiyama et al., 2002
). As recently demonstrated for the rotary motor F1-ATPase, forced backward motion in a tightly coupled scheme results in ATP synthesis (Itoh et al., 2004
). Although this mechanism may be applicable to a linear motor like myosin-V, the concentrations of ADP and Pi in our assays were far too low to allow tightly coupled backward stepping at the high rates (7 s1) we observed in our experiment. We therefore favor a less tightly coupled model of force-induced myosin-V backward stepping. We assume that at superstall forces, the high loads induce unbinding of the leading head. Force reverses the power stroke in the now fully loaded trailing head. The other head can then bind at the new trail position. Investigations of the coordination of the two heads during forced backward motion and the influence of ATP, ADP, and phosphate concentrations require further experiments.
Run length
A characteristic property of processive motors is the distance they are able to walk before detaching from a filament. In our laser trap experiments, we find relatively short characteristic run lengths for myosin-V of only
10 steps. This number appears small compared to results from single-molecule fluorescence measurements or in vitro gliding assays (Baker et al., 2004
; Mehta et al., 1999
; Sakamoto et al., 2003
). However, in our experiments the feedback pulls the motor off the track as soon as it detaches (see also Materials and Methods). It therefore directs diffusion of the motor away from its track and likely prevents rebinding to the same position on the track as compared to other assays.
As for kinesin (Block et al., 1990
; Schnitzer et al., 2000
; Vale et al., 1996
), we find run lengths for given loads single exponentially distributed (Fig. 6, AE), indicating that a single process induces detachment. In contrast to kinesin, where run lengths depend exponentially on load, the myosin-V run length is essentially load independent. Force independence of run length therefore indicates that the bond, which ruptures upon detachment, exhibits a transition state position very close to the unloaded conformation. A candidate for such a short range potential would be the myosin-actin bond. Presumably, as suggested in Baker et al. (2004)
and Sakamoto et al. (2003)
, the run is most likely at risk of being terminated when only one head is bound to actin (Fig. 7 II).
| CONCLUSION |
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| ACKNOWLEDGEMENTS |
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This work was supported by an SFB 486 grant of the Deutsche Forschungsgemeinschaft; M. Vilfan acknowledges support from the European Union through a Marie Curie Fellowship grant (No. HPMF-CT-2002-01887).
Submitted on September 27, 2004; accepted for publication March 3, 2005.
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