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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Traffic. Author manuscript; available in PMC 2014 January 1.
Published in final edited form as:
Published online 2012 October 30. doi:  10.1111/tra.12017
PMCID: PMC3548028
NIHMSID: NIHMS413212

Myosin VI has a one track mind versus myosin Va when moving on actin bundles or at an intersection

Abstract

Myosin VI (myoVI) and myosin Va (myoVa) serve roles both as intracellular cargo transporters and tethers/anchors. In both capacities, these motors bind to and processively travel along the actin cytoskeleton, a network of intersecting actin filaments and bundles that present directional challenges to these motors. Are myoVI and myoVa inherently different in their abilities to interact and maneuver through the complexities of the actin cytoskeleton? Thus, we created an in vitro model system of intersecting actin filaments and individual unipolar (fascin-actin) or mixed polarity (α-actinin-actin) bundles. The stepping dynamics of individual Qdot-labeled myoVI and myoVa motors were determined on these actin tracks. Interestingly, myoVI prefers to stay on the actin filament it is traveling on, while myoVa switches filaments with higher probability at an intersection or between filaments in a bundle. The structural basis for this maneuverability difference was assessed by expressing a myoVI chimera in which the single myoVI IQ was replaced with the longer, 6 IQ myoVa lever. The mutant behaved more like myoVI at actin intersections and on bundles, suggesting that a structural element other than the lever arm dictates myoVI’fs preference to stay on track, which may be critical to its role as an intracellular anchor.

Keywords: molecular motors, processivity, anchor, tether, cargo transporter, cytoskeleton, single molecule, Qdot

INTRODUCTION

Myosin VI (myoVI) and myosin Va (myoVa) are double-headed, processive molecular motors that have the capacity to transport intracellular cargo over long distances by stepping in a hand-over-hand fashion along actin filament tracks (16). MyoVI is the only known class of myosin that moves towards the minus end of actin filaments (7). The actin cytoskeleton is polarized in cells with their plus ends pointing towards the cell periphery, so it is not surprising that myoVI is involved in endocytosis while myoVa is critical for exocytosis (8, 9). The actin cytoskeleton is a complex network of intersecting filaments, and bundles such as those found in filopodia and stress fibers, that act as an intracellular highway for myoVI and myoVa transport. This actin network presents a physical and directional challenge for efficient intracellular cargo delivery. Do differences in the structures and stepping dynamics of myoVI and myoVa provide an advantage to either motor when maneuvering through the complexities of the actin cytoskeleton?

MyoVI and myoVa (Fig. 1A) are each composed of two heavy chains, containing an N-terminal motor domain (i.e. head) followed by a rigid lever arm that amplifies small conformational changes in the motor domain associated with the hydrolysis of ATP. Following the lever is a C-terminal tail with both dimerization and cargo-binding capacity. MyoVI and myoVa differ in all three domains. The myoVI motor domain contains a unique insert (insert 2) which redirects the lever arm swing so that the motor travels in the opposite direction to other myosin motors (10). The conventional lever arm of myoVI is short and comprised of a calmodulin bound to insert 2 and a single calmodulin-binding IQ motif, but is functionally extended by elements distal to the IQ motif (11, 12). In contrast, myoVa contains a longer lever arm made up of six IQ motifs and associated calmodulins. For both motors, alternating swings of the individual lever arms result in a hand-overhand stepping pattern (2, 46). It was surprising that myoVI was able to take >30 nm steps, comparable to that of myoVa, despite its short conventional lever arm (3, 13). To accomplish this, it has been suggested that some part of the myoVI tail domain effectively serves as part of the lever arm (11, 12), providing the additional length needed for myoVI to take its large but variable steps. The striking difference between their lever arm designs raises the possibility that the two motors explore their 3-dimensional space within the cell quite differently (14, 15), which in turn could help these motors cope with the complexities of the actin cytoskeleton in unique ways.

Figure 1
Experimental and Motor Design. (A) Schematic of expressed myoVI, myoVa and myoVI chimera used in this paper. The myoVI motor domain is followed by a unique insert-2 (IN2), a conventional IQ motif that binds an exchangeable calmodulin (CaM), a tail domain, ...

The roles of unconventional myosin motors in cells go beyond single motor vesicular trafficking. For example, myoVa and Vb may serve as dynamic tethers to ensure that vesicle localization and retention occur at the plasma membrane through motor binding to the actin cytoskeleton (1618). However, it is unclear if dynamic tethering is a property of a single motor being able to attach to two different actin filaments simultaneously, or an emergent property of an ensemble of myoVa motors each attaching to different actin filaments while bound to the same cargo. In addition to endocytic trafficking, myoVI may serve as an intracellular anchor with the best example being in stereocilia where myoVI is thought to anchor the apical membrane between individual stereocilia to the cuticular plate (19). This anchoring role was first proposed given that load imposed on a single myoVI molecule when attached to a single actin filament in the optical trap resulted in prolonged attachment times (20). Therefore, we and others hypothesized that the unusual myoVI lever arm design promotes anchoring as a result of both heads preferably interacting with the same actin filament (21, 22).

To assess whether the divergent lever arm designs of myoVa and myoVI lead to different actin interactions when presented with multiple actin filaments, we defined the stepping dynamics of single molecules of expressed, Qdot-labeled myoVI and myoVa motors (Fig. 1A) when challenged by in vitro models of the actin cytoskeleton. These in vitro models included intersecting actin filaments (Fig. 1C), and actin filament bundles (Fig. 1D) either of unipolar actin filament polarity (fascin-actin) or of mixed polarity (α-actinin-actin). A myoVI mutant in which the short single IQ lever was replaced with the longer, 6 IQ myoVa lever was also expressed (Fig. 1A). The stepping dynamics of this chimeric motor on various actin tracks helped define the extent to which the lever arm affects the ability of the motors to maneuver along complex actin tracks. We show that myoVa explores the cytoskeletal landscape more freely, and thus switches between filament tracks more often than myoVI, which prefers to maintain its direction of travel along the actin track on which it is stepping. This difference between the two motors is not simply due to the elements comprising their lever arms.

RESULTS AND DISCUSSION

Single motor maneuverability at actin-actin intersections

The actin cytoskeleton is a dense meshwork of intersecting actin filaments, which is most apparent in lamellopdia (23). Here, we determined how myoVI might deliver cargo along such a complex actin network using an in vitro model system of actin filament intersections created by first adhering Alexa660-labeled actin filaments to a glass surface followed by TRITC-labeled actin filaments as described previously (24). Knowing the actin filament color and the sequence in which the filaments were introduced into the experimental flowcell, we could determine which filament was on top (see Fig. 1C). Given the ~7nm actin filament diameter and the size of the myosin motors and their attached Qdots (~20 nm), the only way a motor could pass through the intersection is by stepping onto or over the top of the intersecting actin filament.

We previously demonstrated (24) that when a single myoVa encountered an actin filament intersection, the majority of motors (48%) switched to the intersecting track, going equally left or right, suggesting that the polarity of the intersecting filament was random and that there was no structural bias to the stepping pattern of myoVa. Only 15% of the myoVa motors crossed over the intersection, while the remaining 37% terminated at the intersection (24). We proposed that the high percentage of track switching, relative to crossing, was due to the diffusive search of the leading head mapping out a target zone (Fig. 1D) that encountered more available actin-binding sites on the intersecting filament (14, 15, 24, 25). In contrast, single myoVI motors (N=67) were almost twice as likely (26%) as myoVa to crossover at actin intersections at the expense of switching tracks (39%), but had a similar termination probability (35%) as myoVa. Assuming a target zone model, the diffusive search of myoVI may be laterally restricted, which increases the probability of the motor crossing over the intersecting filament (Fig. 1D). As previously observed for myoVa, single myoVI motors can turn at intersections having angles as great as 150° (see Fig. S1). These data suggest that both motors are flexible enough to allow each of their two heads to bind stereospecifically and simultaneously to different actin filaments at obtuse angles when such events occur. This inherent flexibility must exist in structures beyond their lever arms (i.e. the tail) since x-ray crystal structures do not indicate the presence of a freely rotating joint at the head-lever arm junction (26).

The inherent bias for myoVI not to switch filaments as often as myoVa was also observed by Brawley and Rock (27) when tracking individual myoVI and myoVa motors on detergent exposed COS-7 cell actin cytoskeletons, which are predominantly composed of single intersecting actin filaments. To determine if the substantial difference in the lever arm designs between these two motors contributes to this bias, we expressed a chimeric myoVI motor that was developed previously to determine the structural domains involved in myoVI directionality (10). This mutant contained the myoVI motor domain with its insert 2 and tail, but its 1 IQ lever was replaced with myoVa’s 6-fold longer lever (Fig. 1A). The chimeric myoVI maintained its opposite directionality (10), and was processive with velocities and run lengths that were the same as wild-type myoVI (Figure 2; p>0.05).

Figure 2
Velocity and run lengths of motors on single actin filaments and bundles. (A) Velocities of motors on different tracks are: MyoVI: 146±51 nm/s, N=118 (single actin filament), 136±50 nm/s N=95 (unipolar bundles), 85±43 nm/s N=65 ...

The myoVI chimera (N=40) showed probabilities for switching (42%) and crossing (18%) that were intermediate between either wild-type motor with a 40% termination at the intersection. Thus the long lever arm of myoVa is not sufficient to allow the chimera to mimic the maneuverability of myoVa at intersections.

Single motor transport on actin filament bundles

Directionality of travel on unipolar bundles and mixed polarity bundles

Actin filament bundles, such as in filopodia and stress fibers, are also critical components of the actin cytoskeleton. Depending on the actin cross-linking protein, bundles can be either unipolar or mixed polarity. Bundles formed in the presence of fascin, such as in filopodia, have their actin filaments aligned with their pointed ends in the same direction and are unipolar (28). Mixed polarity bundles, such as in stress fibers, are formed by α-actinin cross-linking (29). We created such bundles in vitro (see Material and Methods) that were 22±9 (n=52) μm long for both unipolar and mixed polarity bundles (Fig. 1B). To estimate the number of actin filaments contained within these bundles, we determined the ratio of the total fluorescence intensity from a cross-sectional area scan through a bundle relative to a single actin filament within the same visual field (Fig. S2). This ratio of 11.8±5.4 (n=22) for unipolar bundles, and 9.3±3.2 (n=19) for mixed polarity bundles, suggests that ~10 actin filaments make up each bundle.

The capacity for myoVI, myoVa, and the myoVI chimera to interact with bundles compared to single actin filaments was characterized by the number of Qdot-labeled motors bound/μm of actin track, and the percentage of moving motors under identical experimental conditions (i.e. 0.25 nM of available motor) (Table 1; Fig. S3). For all three motors, ~0.45 motors were observed per μm of single actin filaments, with 88% of these moving processively. In comparison, ~2.5-fold more motors of each type were bound on both unipolar and mixed polarity bundles (average =1.16 motors/μm of bundle) (Table 1). This ~2.5-fold increase is expected even though each bundle is composed of ~10 actin filaments. A significant number of the bundle’s filaments are inaccessible by being either within the bundle core or those on the bottom surface that adhere to the coverslip (30). There is no apparent difference in track selectivity between myoVa and myoVI for single actin filaments versus bundles, as may be the case for myosin X (31, 32). The average percentage of processive moving motors on unipolar bundles (79%) and on mixed polarity bundles (70%) was less than on single actin filaments (Table 1), which most likely results from some motors spanning two actin filaments in a conformation that cannot move and which remain bound for the entire 16.7 second observation period.

Table 1
Motor Motile Parameters on Filaments and Bundles

At least 97% of the myoVI, myoVa, and the myoVI chimera maintained a constant direction of travel towards one end of a given unipolar bundle (Table 1; Fig. 3). In contrast, on mixed polarity α-actinin bundles, 12% of the myoVI, 21% of the myoVa, and 15% of the myoVI chimera motors switched direction towards the opposite end within a given run (Table 1; Fig. 3). MyoVI has also been reported to switch tracks less frequently than myoVa on mixed polarity stress fibers in detergent exposed U2OS cell cytoskeletons (27). The percentage of motors that switch directions on a mixed polarity bundle should depend on the target zone subtended by the diffusional search of the unbound head, and the spatial distribution of actin filament polarities within the bundle. Based on the probabilities described above for myoVI and myoVa motors at single filament intersections, myoVI should switch between filaments on mixed polarity bundles less often than myoVa. In this regard, the myoVI chimera behaves more like myoVI by maintaining its travel direction on a mixed polarity actin bundle (Table 1).

Figure 3
High spatial and temporal resolution imaging of myoVI, myoVa and myoVI chimera stepping while travelling on unipolar and mixed polarity bundles. All three motors move in stepwise manner on fascin (A) and α-actinin bundles (B) with filament switching ...

Velocity and run length of single motors on actin bundles

The velocity and run length at 2mM ATP was characterized for myoVI, myoVa, and the myoVI chimera on both unipolar and mixed polarity actin bundles (Fig. 2). All three motor types exhibited significantly (p<0.05) slower velocities on unipolar and mixed polarity bundles compared to velocities on single actin filaments, except for myoVI on unipolar bundles. Previous studies of myoVa on unipolar bundles also reported slower velocities (31, 32). With regard to run lengths, myoVa had 1.8-fold longer (p<0.05) run lengths on both unipolar and mixed polarity bundles compared to single actin filaments, which was not the case for myoVI and its chimera (Fig. 2B). The lack of any effect on run length for myoVI suggests that this motor is unaffected by the presence of neighboring actin filaments in the bundle, and prefers to track along a single actin filament. The myoVI chimera behaved similarly to myoVI, and thus the presence of the myoVa lever did not confer any advantage to the chimera in terms of enhancing its run length as observed for myoVa (Fig. 2B).

For myoVa, the increased run lengths suggest that the presence of parallel actin filaments within a bundle offers the unbound head of myoVa a greater number of available binding sites, thus decreasing the probability of run termination (Fig. 1D). This presumes that the myoVa motor switches tracks on the bundle, which would also account for the slower velocities because a fraction of forward motion is given up to lateral movement during track switching (see below).

Single motor stepping behavior on bundles

To better understand the molecular basis for the difference in processive properties between myoVI and myoVa on actin bundles, we characterized the stepping dynamics with high temporal (17 ms) and spatial resolution (6 nm). To enhance our spatial resolution, Qdot-labeled motor displacements were observed at low ATP concentration (≤50 μM). As a control, the stepping dynamics of all three motor types under similar experimental conditions were characterized on single actin filaments.

Although the individual actin filaments within a bundle were not visually resolvable, the x,y stepping trajectories mapped out the location of parallel tracks and provided evidence that the motors were capable of switching tracks (Fig. 3). Based on these clearly defined stepping trajectories we characterized the following stepping parameters: 1) track switching probability per step with a switching event defined by a motor traveling down a different filament; 2) angular displacement between steps within the visual plane (see Fig. 4A; Material and Methods); 3) stepsize distributions and lifetimes; 4) a newly observed phenomenon, head tapping.

Figure 4
Turning angles between successive steps. (A) A schematic diagram of angular displacement measurement (θ) relative the x-axis while a motor switches tracks (dashed line) on actin bundles. (B) Turning angles of myoVI, myoVa and myoVI chimera on ...

Track Switching

MyoVI switched tracks at each step only 13% of the time on unipolar bundles (Fig. 3, Table 2) whereas myoVa switched with twice the probability (Table 2). Although the myoVI chimera has a longer lever arm, it exhibited nearly the same track switching probability (16%) as myoVI on unipolar bundles (Table 2). Although the leading head of the myoVI chimera might explore its landscape as well as myoVa (see head tapping data below), this sampling of neighboring actin filaments did not result in a higher probability of track switching. Interestingly, track switching probabilities for all three motors match the probability of changing their direction of travel on mixed polarity bundles as might be expected (Table 1).

Table 2
Motor Stepping, Switching, and Tapping

Angular Displacement

Given that motors must explore their track landscape in order to switch filaments, we defined the angular displacement of the Qdot-labeled head position along the actin bundle between consecutive steps (Fig. 4A). As a control, these angles were also determined for all three motors on single actin filaments (1±11° (SD); N=69), giving a measurement resolution of 11° (Fig. 4B). MyoVI’s angular displacement distribution regardless of bundle type was narrower (average SD=26° N=156) than either myoVa (average SD=44°, N=180) or the myoVI chimera (average SD=34°, N=110) (Fig. 4B, C). The distributions of angular displacements are consistent with the track switching probabilities for the three motors. Thus, it appears that myoVa has the greatest flexibility to allow both of its heads to be simultaneously attached to different filaments. Such flexibility is described by the diffusive search of the unbound head (14, 15, 25, 33) (Fig. 1D), which appears to be connected to a universal joint, presumably at the junction of the lever arm and the coiled-coil tail.

Step Sizes

MyoVI’s lower track switching probability and tighter angular distribution compared to myoVa suggest that myoVI more faithfully tracks along an actin filament within a bundle. Therefore, its stepsize distribution on a bundle should be similar to that on single actin filaments, which was the case (Fig. 5C). In fact, the stepsize distribution on unipolar bundles (57± 27 (SD) nm; N=111) was indistinguishable (p>0.05) from that on mixed polarity bundles (60± 25(SD) nm; N=64) both of which were no different than on single actin filaments (63 ± 21(SD) nm; N=155). In contrast, the myoVa stepsize of was significantly reduced (p<0.05) and more broadly distributed on both unipolar bundles (63± 26 (SD) nm; N=127) (32) and mixed polarity bundles (64± 24(SD) nm; N=81) compared to single actin filaments (72±10 (SD) nm; N=142) (Fig. 5F). With myoVa motors switching tracks with a >20% probability on both unipolar and mixed polarity bundles (Tables 2, 3), a significant number of steps were short steps (45±24 nm; N=32) to a neighboring filament, explaining the reduced stepsize and its broad distribution on actin bundles (Fig. 5F). The myoVI chimera generated steps on single actin filaments (70 ± 28(SD) nm; N=67) that were similar to myoVa in magnitude (p>0.05) but more broadly distributed (Fig. 5I) as previously reported (10). As for myoVI, the myoVI chimera stepsize and distribution was unchanged (p>0.05) while stepping along both unipolar (65±24(SD) nm; N=99) and mixed polarity bundles (64±32(SD) nm; N=63) (Fig. 5I). This suggests that the myoVI chimera would prefer to track along on a filament and that having a longer lever arm is not enough to alter the stepping dynamics of the myoVI motor domain.

Figure 5
Stepping dynamics of myoVI, myoVa and myoVI chimera at 50μM ATP on actin filaments and bundles. Displacement versus time traces of myoVI (A, B), myoVa (D, E) and the myoVI chimera (G, H) on single actin and unipolar bundle, respectively. All three ...

Finally, on both unipolar and mixed polarity bundles, myoVa took occasional backsteps (~3.5%), which was rarely the case for myoVa on single actin filaments (Fig. 5F), suggesting that straddling between tracks could place an internal resistive load on the motor which prompted a backstep in the laser trap assay (3436). In contrast, the back step frequencies of myoVI (~5%) (Fig. 5C) and myoVI chimera (10%) (Fig. 5I) were independent of the actin filament type, adding further support that these motors prefer to stay on track.

Head Tapping

Surprisingly, “tapping” events, where a motor head alternated many times between fixed positions on different two actin filaments, was observed for all three motors on unipolar bundles (see Fig. 3A, 3C, 5E, 5H). Head or “foot stomping”, as coined by Ando and coworkers, was recently reported using high speed atomic force microscopy (33), although stomping in their study occurred between adjacent actin monomers on the same actin filament, i.e. a stomp of ~5 nm. For myoVa, tapping events were observed frequently (i.e. 13/14 runs) and for each event the myoVa head alternated ~8 times between fixed positions on two parallel actin filaments that were ~31 nm apart (Table 2, Fig. 3C). Given the 12 nm center-to-center distance between actin filaments within the bundle (31), the 31 nm tapping step size suggests that the actin-binding sites are located on different actin filaments that are either on both sides of the filament to which the strongly bound head is attached or between an actin-binding site on the filament the motor is traveling on and another at least two actin filaments laterally (Fig. 3C). Since only one head is Qdot-labeled (i.e. the one tapping), this head must be weakly bound while the unlabeled head is strongly bound to actin and most likely in the nucleotide-free state given the low ATP conditions of these experiments. The single head label also prevents us from determining whether the tapping head is the leading or trailing head. Furthermore, the tapping event frequency is probably an underestimate, since the unlabeled head should be capable of tapping but is silent in our assay. Of the 13 myoVa tapping events, 9 resulted in the motor switching tracks. The lifetime of each tap was an order of magnitude shorter (Table 2, Fig. 3C) than the lifetime of a forward step under these low ATP conditions, suggesting that the tapping events are not ATP-dependent. These tapping events were also observed in myoVI but much less frequently (4/13 runs) (Table 2). Although the myoVI chimera tapped as frequently (13/14 runs) as myoVa (Table 2), only 4 tapping events resulted in track switching with the remaining 9 events ending with the motor continuing along on the same track. Thus, the myoVI chimera can explore the track landscape as well as myoVa, contributing to its broad angular displacement distribution (Fig. 4), but tapping does not enhance the myoVI chimera’s ability to switch tracks.

Conclusions

The data presented here demonstrate that as single motors, both myoVI and myoVa are adept at maneuvering through actin-actin intersections as well as traveling along actin filament bundles. Using high spatial resolution imaging, the stepping dynamics of these motors revealed significant differences between the processive behaviors of these motors, most notably that myoVI prefers to stay on course, traveling along a single actin filament even when opportunities are provided by closely positioned neighboring actin filaments within a bundle. The evidence in support of this conclusion are as follows when myoVI is compared to myoVa: 1) myoVI does not switch tracks as often at actin intersections; 2) myoVI has a lower probability of changing its travel direction on a mixed polarity bundle (Table 1); 3) myoVI exhibited fewer head tapping events between two parallel filaments within a bundle (Table 2); 4) myoVI had a lower probability of switching filaments per step within a bundle (Table 2); 5) myoVI has a tighter distribution of angular displacements between steps on either unipolar or mixed polarity bundles (Fig. 4). All of these properties suggest that myoVI more faithfully tracks along an actin filament rather than switching filaments either at an actin-actin intersection or within a bundle. Previously, myoVI was described as walking “wiggly” on single actin filaments (37). This wiggly behavior refers to the motion of the lever arm relative to the longitudinal plane of the actin filament (38) and would contribute to a broad stepsize distribution associated with linear travel and not to the lesser capacity of myoVI to switch tracks on bundles.

What structural features underlie the apparent differences in maneuverability between myoVI and myoVa? One would have expected that the myoVI chimera, which combined the inherently broader stepsize distribution of myoVI on single actin filaments with the longer lever arm of myoVa, to have been better equipped to explore its 3D space for possible actin-binding sites. However, the chimera did not exhibit a higher track switching capacity. The myoVI chimera must have sufficient flexibility for the free head to tap on neighboring filaments within a bundle (Fig. 5H), but these tapping events do not lead to track switching as it did for myoVa (Table 2). Therefore, a structural element other than the lever arm must limit the extent of the lateral movement of myoVI. This element appears to exist within the myoVI head domain, given the results of the chimera.

The tapping events described here are distinct from the stepping behavior of a motor in dynamic stall (i.e. back and forth steps) along a single actin filament (35) or stomping events seen recently in AFM images (33). These lateral movements between actin filaments in a bundle may be the underlying process by which a motor determines whether it switches tracks or not. With the lifetime of a tap (~100 ms) equivalent to the step lifetime of a myoVa motor when stepping at 10–15s−1 at 1–2 mM ATP (35, 39), the motor would only have time to tap once on a neighboring filament in order to switch tracks. The fact that it taps at all, when never before seen on single actin filaments at low ATP, suggests that the conformation of the motor when its two heads are attached to different parallel filaments must create an off-axis intramolecular strain that results in detachment of the leading head. Ishiwata and coworkers (40) demonstrate that myoVa processivity is sensitive to off-axis resistive loading, which they attribute to a lower unbinding force of the myoVa head with certain angles of off-axis loading.

Is myoVI or myoVa more efficient at delivering cargo along the complex actin cytoskeleton? As a single motor, myoVa appears to have more options for choosing direction when presented with intracellular obstacles, given its higher probability of switching tracks. However, this flexibility may also lead to cross-linking of actin and tethering, which has been suggested to be a function of myoVa in a dense actin network (16, 41). This feature may not be necessary, or even desirable, for myoVI when it functions in endocytosis or as an anchor, where having both heads on a single actin filament may be beneficial (21, 22, 42, 43).

Our studies only begin to define cargo transport within the complex intracellular milieu, where multiple motors share the responsibility of cargo transport. The 3D dense actin meshwork provides numerous escape routes, but at the same time presents physical challenges that motors must overcome for efficient cargo delivery to its destination.

MATERIALS AND METHODS

Protein expression and purification

MyoVI

A double-headed myoVI construct (Fig. 1A) was engineered from the porcine myoVI cDNA by truncation at residue Arg-994, following which in sequence were added an eGFP cDNA (Clontech, Palo Alto, CA), a leucine zipper (GCN4) to ensure dimerization, and a FLAG tag at the C terminus to facilitate purification (10). This construct was expressed in Sf9 cells, as described previously (3, 44). The myoVI lever arm contains a single IQ motif, which binds an exchangeable calmodulin (CaM) (45, 46). Therefore, expressed biotin-tagged CaM (Bio-CaM) was chemically exchanged for the resident CaM for specific labeling with streptavidin-functionalized Qdots as described previously (6). Proteins were purified as described (44, 47).

MyoVa

A double headed myoVa-heavy meromyosin construct (Fig. 1A) was engineered by truncating the full length mouse myoVa heavy chain at residue 1098, followed by YFP and a FLAG epitope tag at the C terminus to facilitate purification after expression in the Baculovirus/Sf9 cell system, as described previously (48). The construct also contained a biotin tag either at the N or C terminus, which was used for attachment to streptavidin-conjugated Qdots (Invitrogen, Eugene, Oregon). The biotin tag consists of 87 amino acids residues from the Escherichia coli biotin carboxyl carrier protein, which is biotinated at a single lysine during expression in Sf9 cells (49). Calcium-insensitive CaM (CaMΔall) was co-expressed with myoVa as described previously (50). Proteins were purified and stored as described (51).

MyoVI Chimera

A mutant myoVI chimera was constructed as described (10). In brief, the six IQ myoVa lever arm was substituted for the single myoVI IQ in the myoVI construct described above. Therefore, this chimeric motor retained the myoVI head, converter, insert 2, and tail. Bio-CaM was exchanged onto the mutants 6 IQ lever, presumably at the second IQ (52), for labeling with streptavidin-Qdots as described above for myoVI.

Buffers

Buffer A: 25 mM imidazole, pH 7.4, 4 mM MgCl2, 1 mM EGTA, 25 mM KCl, 10 mM DTT; Buffer B: Buffer A plus 1 mg/ml BSA; Buffer C: 25 mM imidazole, pH 7.4, 4 mM MgCl2, 1 mM EGTA, 300 mM KCl, 10 mM DTT.

Actin bundle preparation

Chicken skeletal actin was labeled with TRITC-phalloidin as described previously (53). Unipolar fascin-actin bundles were formed by adding E.coli-expressed fascin to actin filaments as described in (54). Briefly, actin filaments and fascin were mixed very gently at a 10:1 actin monomer:fascin ratio in Buffer A and incubated for 4 hours to overnight on ice. Mixed polarity, α-actinin-actin bundles were prepared by incubating actin filaments with α-actinin (Cytoskeleton Inc., Denver, CO) at a 5:1 actin monomer:α-actinin ratio in Buffer A for 4 hours on ice.

Qdot to motor attachment strategy

For single molecule assays, motors were Qdot-labeled as described previously (55). In brief, myoVI and the chimera were labeled by initial exchange of a Bio-CaM to the IQ-domain of myoVI and presumably to the second IQ of the myoVa lever of the myoVI chimera (52), followed by streptavidin functionalized Qdot (655 nm emission; Invitrogen-Molecular Probes, Eugene, OR) conjugation. The myoVa N terminus head domain was also labeled using the same streptavidin-functionalized Qdot as described previously (24, 55). All motors were mixed with Qdots at 1:4 molar ratio and incubated for 15 minutes on ice in Buffer B. For these conjugation conditions, 91% of the Qdots were attached with a single motor based on Binomial statistics (55).

Processivity assays

To prepare microscope coverslips for various processivity assays, an experimental 15 μl flowcell was constructed from glass coverslips and solutions introduced in the following order. First, 20 μl of N-ethyl maleimide (NEM)-modified myosin (4) at 0.5 mg/ml in Buffer C was introduced for 2 min to create the attachment strategy for actin filaments or actin bundles, followed by a Buffer A wash. Then Buffer B (20 μl) was introduced and incubated for 2 min, followed by a Buffer A wash. Then 50 nM TRITC-phalloidin actin filaments or 200–400 nM TRITC- labeled actin bundles in Buffer A were infused into the flowcell, incubated for 2 min and then washed with Buffer A. The motor:Qdot complex was diluted to a final motor concentration of 0.25 nM in Buffer B (plus ATP and 0.1 mg/ml CaM) and then infused into the flowcell. Movement of Qdot-labeled motors along actin filaments, actin intersections (as prepared previously (24), or actin bundles were observed using total internal reflection fluorescence (TIRF) microscopy.

Microscopy

All motility experiments were performed at room temperature (23±1°C) using a Nikon Eclipse Ti-U inverted microscope equipped with a PlanApo objective lens (100X, 1.49 n.a.) for through the objective TIRF and epifluorescence (EPI) microscopy. Qdots and TRITC-actin filaments were excited with an argon laser at 532 nm. Actin filaments and bundles were observed in EPI while the Qdots were imaged simultaneously in TIRF and EPI. Typically, 1000 images were captured at 60 frames/sec (with 1 pixel=95 nm) using an intensified CCD camera (Standard Photonics, Turbo-Z, running Piper control v2.3.14 software; Stanford Photonics, Stanford, CA). Image analysis was performed using Image J 1.41O (National Institutes of Health, Bethesda, MD). The spatial resolution of the imaging system was 6 nm, determined by tracking a stationary Qdot on glass surface over 500 frames as described previously (24).

Data analysis

Run length and velocity were measured as described previously (56). In brief, run lengths were measured from the appearance of the Qdot-labeled motor until its detachment from the actin filament using the Image J plugin MtrackJ. However, for runs on mixed polarity bundles where the motor changes direction, the total distance traveled was measured regardless of direction. Run length distributions were fitted to f(x) = Ae−x/λ, where λ is the characteristic run length constant, f(x) is the relative frequency of the motor traveling a distance x and A is a constant. Velocity was calculated as the run length/run time with the velocity distribution fitted to a Gaussian: y=Ae [−0.5[(x−x0)/b]**2], where b is the standard deviation, x0 is the mean velocity and A is a constant. All velocities are reported as the mean±SD and the characteristic run lengths were reported as mean±SE. Statistical significance was determined using the Kolmogorov–Smirnov Test for run length comparisons (57) and the Student’s t-Test for velocity comparisons. For step size measurement, Image J plugin SpotTracker 2D was used to track the individual Qdot-labeled motor. Then steps were identified in displacement versus time traces by an unbiased, statistically based routine program (58). The step size distributions were fitted to a Gaussian as above and reported as mean±SD.

The step lifetime histograms of myoVI, myoVa and the myoVI chimera were fitted by F(t)= tk2e−kt rather than a single exponential. Since one of two heads of the motor is labeled with Qdot, only alternate steps were detected in our experiment. So, the step lifetime was that of the labeled head combined with that of the unobserved step from the unlabeled head, which was assumed to have occurred at the same rate, k (5, 59). Step lifetimes are calculated as 1/k as the mean±SE of the parameter estimate of the fit.

To calculate the tapping step sizes and tapping step lifetimes, a fraction of a trace (displacement versus time) was taken where tapping behavior was seen. Then a statistically based step-finding routine (58) was used to measure the step sizes and step lifetime as described above. The tapping step sizes distribution was fitted to Double Gaussian:

equation M1

and lifetime distributions were fitted to f(x) = Ae−x/t, where 1/t is the stepping lifetime, f(x) is the relative frequency of the motor traveling a distance x and A is a constant.

Angular displacement measurements between steps

To determine the turning angle between successive steps within a trajectory, we first identified individual steps as described above. Then the x,y values for every point indentified by the step-finding routine as part of a step were averaged and defined as the position of the motor’s head for that given step (red dots; Fig. 3). To align the overall trajectory in x,y space to the x-axis, a linear regression was fitted to the step positions. Given the angle, θ, that the regression makes with the x-axis, each of the head’s step positions (x,y) were aligned relative to the x-axis using the following equation to generate new position values (x1,y1):

equation M2

Once aligned, the angle between successive steps (x1,y1 and x2,y2) could be determined using the arctangent function in Excel:

equation M3

Bundle width estimation

To estimate the average number of actin filaments that form a unipolar fascin-actin or mixed polarity α-actinin-actin bundles in our experimental condition, we selected an area (a rectangular box) on bundle and measured the integrated intensity (Fig. S2A) using Image J. We moved this box onto a nearby single actin filament (Fig. S2B) and measured the integrated intensity. Integrated intensity was also measured for the background (Fig. S2C). Background intensity was subtracted from both the bundle and actin filament intensities, then and the ratio between bundle and actin filament intensity calculated. This ratio was used as an estimate of how many actin filaments exist within a bundle.

Bundle selectivity

We counted the number of Qdot-labeled myoVI, and myoVa that were bound to an actin filament and bundle over 16.7 second (1000 frames). Then the number of Qdot- labeled motors bound per micron was calculated as a measure of actin filament/bundle selectivity (Fig. S3).

Supplementary Material

Supplementary Data

Acknowledgments

We thank members of the Warshaw Lab for helpful discussions, Guy Kennedy from the University of Vermont’s Instrumentation and Modeling Facility for expert instrumentation and microscopy design and assistance, Elena Krementsova for myoVa expression, Daniel Safer for the myoVI constructs. This work was supported by the American Heart Association (12SDG11930002, MYA) and National Institutes of Health (GM094229, DMW; DC009100, HLS; GM078097, KMT).

Footnotes

Supplemental Information

Fig. S1: Sequential images of Qdot-labeled myoVI encountering actin filament intersections and actin bundles. (A, B) A single myoVI motor (red dot) travels along an Alexa Fluor 660 phalloidin-labeled actin filament (not visible due to rapid photobleaching) and then switches to (A) or crosses over (B) the intersecting TRITC phalloidin-labeled actin filament (green). The TRITC actin filaments are draped over the Alexa Fluor 660 actin filaments based on the order of actin filament addition to the flow cell (see Fig. 1C). The time sequence is shown in the upper left corner. (C, D) A single myoVI motor (red dot) is traveling along a TRITC phalloidin-labeled (green) unipolar bundle for 17 seconds (C) or mixed polarity bundle for 20 seconds, switching directions as it travels (D). Calibration bars in all panels are 1 μm.

Fig. S2: Fluorescence intensity measurement to estimate the number of actin filaments within an actin bundle. Total intensities were measured for an equal sized area (yellow box) on actin filament bundle (A), single actin filament (B) and background (C). After subtracting the background intensity, the ratio between the bundle and actin filament intensities provided an estimate of the number of actin filaments within the bundle.

Fig. S3: Relative binding frequency of myoVI and myoVa on single actin filaments and unipolar bundles. Number of Qdot-labeled myoVI and myoVa motors per micron that were bound to actin filament and fascin bundle over 17 sec for various flowcell motor loading conditions.

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