Summary
How the opposing activity of kinesin and dynein motors generates polarized distribution of organelles inside cells is poorly understood and hotly debated [1, 2]. Possible explanations include stochastic mechanical competition [3, 4], coordinated regulation by motor-associated proteins [5, 6, 7], mechanical activation of motors [8], and lipid-induced organization [9]. Here, we address this question by using phagocytosed latex beads to generate early phagosomes (EPs) that move bidirectionally along microtubules (MTs) in an in vitro assay [9]. Dynein/kinesin activity on individual EPs is recorded as real-time force generation of the motors against an optical trap. Activity of one class of motors frequently coincides with, or is rapidly followed by opposite motors. This leads to frequent and rapid reversals of EPs in the trap. Remarkably, the choice between dynein and kinesin can be explained by the tossing of a coin. Opposing motors therefore appear to function stochastically and independently of each other, as also confirmed by observing no effect on kinesin function when dynein is inhibited on the EPs. A simple binomial probability calculation based on the geometry of EP-microtubule contact explains the observed activity of dynein and kinesin on phagosomes. This understanding of intracellular transport in terms of a hypothetical coin, if it holds true for other cargoes, provides a conceptual framework to explain the polarized localization of organelles inside cells.
Keywords: bidirectional transport, intracellular transport, vesicle transport, kinesin, dynein, optical trapping, phagocytosis, Markov process
Highlights
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Optical trapping data on phagosomes analyzed mathematically
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Dynein and kinesin function stochastically and independently of each other
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Choice between these motors can be explained by tossing of a hypothetical coin
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Regulatory factors may generate polarized transport by biasing this coin
Sanghavi et al. analyze optical trapping data on phagosomes to propose that sub-cellular localization of organelles inside cells can be understood in terms of a hypothetical coin toss that decides motor protein activity (dynein versus kinesin) on the phagosome.
Results
Bidirectional Force Generation by Motors on Phagosomes in a Reconstituted Assay
Dictyostelium cells were allowed to ingest beads for a short duration, followed by cell lysis and centrifugation to purify buoyant early phagosomes (EPs) [9, 10]. Individual EPs were caught in an optical trap and held above a single polarity-labeled microtubules (MT) [11]. Endosomes in Dictyostelium are driven by the Unc104 kinesin [3, 12, 13], which is likely the plus-directed motor on EPs. Figure 1A shows force generation by kinesin and dynein on two representative EPs. The force from motors (FM) during an excursion (X) against the trap is calculated from the trap stiffness (KT) using FM = KT × X (see scale bar, Figure 1A). Accurate determination of KT is possible by standard techniques [10]. A histogram of plus and minus forces from motors on EPs was presented earlier by us [9], with the maximum force in both directions being ∼15 pN. Plus-directed motors showed two peaks at ∼6 and ∼12 pN, but minus directed motors showed peaks with smaller (∼2 pN) periodicity and a major peak at ∼6 pN [9]. Because a single Dictyostelium dynein generates ∼1.1 pN force [3], we have speculated that dynein is recruited in pairs to cellular cargos [9]. Since Dictyostelium kinesin generates ∼6 pN force [3], this situation corresponds to 1 or 2 strong kinesins in force-balanced competition against a large number of weak dyneins (∼6 or more; see further discussion later). This may permit regulation of bidirectional transport [3, 14].
Activation of Dynein and Kinesin Can Be Understood as Coin Tossing
We counted an almost equal fraction of kinesin (K)- and dynein (D)-driven stalls (47% versus 53%; 90 EPs used). DK and KD event pairs contain reversals, but KK and DD do not (Figure 1A). Some low-force events (red stars) were not counted as stalls (see Figure S1A). Figure 1B shows the fractional occurrence of all event pairs on EPs. Interestingly, each fraction is ∼25% of the total. Computer-simulated tossing of a fair coin to generate heads (H) and tails (T) shows that the occurrence of HH/TT/HT/TH event pairs (Figure 1C) matches very closely with the 25% occurrence of DK/DD/KD/KK stalls. Therefore, activity of any class of motors is equally likely to be followed by the same or opposite motors (a fair coin). This process appears to have no memory, as in a Markov chain where motor classes are activated stochastically and with equal probability to facilitate efficient sampling of cellular space via back-and-forth motion of the EPs [15, 16, 17]. Note multiple KD→DK→KD→DK→KD reversals of the first EP in Figure 1A. We have reported optical trapping of motile phagosomes inside mouse macrophage cells [18]. Similar to the in vitro experiments, phagosomes reverse direction (Figure 1D) and also escape from the trap (Figure 1E) inside cells. The ability to reverse direction against opposing force may be important for vesicle transport in the crowded cytoplasm [1, 19].
Rapid Reversals of EPs
Inactive periods within an event pair (yellow boxes in Figure 1A) are where the EP stays at the trap center, and no motors engage the MT (also see Figure S1B). Reversals without an intervening inactive period will be called rapid reversals (RRs; see Figure 1A). Note that data are acquired using a quadrant detector at high (2 KHz) sampling rate. The observation of RRs suggests that opposing motors must attach to the MT simultaneously or in rapid succession to cause a transient tug-of-war [3]. To check whether tug-of-wars happen on EPs, data on RRs were compared to (only) kinesin-coated beads where no tug-of-war is possible. Figure 2A shows a stall of a kinesin-coated bead. The box encloses a transient “fly-back” region where the cargo (bead or EP) is two SDs away from its fluctuations at the trap center (e.g., fluctuation within yellow boxes in Figure 1A). The fly-back for kinesin-coated bead is completed within a few milliseconds (Figure 2A; adjacent data points are 0.5 ms apart). Similarly, the fly-back for DD stalls on EPs is also completed within a few milliseconds (Figure 2A, middle panel). Because both of these stalls have a post-stall inactive period (yellow boxes), motors therefore did not attach to the MT immediately after the fly-back.
Figure 2A (right panel) magnifies the fly-back during reversals for KD and DK-type RRs on EPs. Here, the fly-back of one EP (labeled KD-RR with tug-of-war) is much slower than the kinesin-coated bead or DD events. However, the fly-back of another EP (labeled KD-RR without tug-of-war) is rapid and similar to the kinesin-coated bead. This difference is also seen between the last two reversals labeled (DK-RR with tug-of-war and DK-RR no tug-of-war). Figure 2B shows the fly-back time for kinesin-beads, KK/DD and KD/DK-type RRs. The data for RRs appear to separate into a fast and a slow population. We interpret this slowing to arise from a tug-of-war between opposing motors. Figure 2C shows the fraction of fast (RR-no-ToW) versus slow (RR-with-ToW) fly-backs for DK and KD reversals. These data support the conjecture that opposing motors on EPs are activated stochastically and may therefore engage occasionally in tug-of-war. The molecular properties of motors (KON and KOFF to MTs, force, etc.) and the surface density of kinesin and dynein on endosome/phagosome membranes [3, 9] therefore appear optimized to ensure intermittent, but not continuous tug-of-wars.
No Evidence for Mechanical Activation of Opposing Motors
Knockdown of kinesin-1 or dynein abrogates peroxisome motion in both directions [8]. However, replacing kinesin-1 by a different plus-directed motor (or dynein by a minus-directed motor) restores motility to varying degrees. It is suggested that one class of motors mechanically activates the opposing motors [8] when they pull against each other (as in a tug-of-war). If motors get activated on EPs via tug-of-war, then the post-reversal stall force should be higher for “RR with tug-of-war” events as compared to “RR without tug-of-war.” However, no such difference was observed (Figure 2D). Pre-reversal stall forces also exhibited no difference. We have earlier used TSTALL (time spent above half-maximal force; see Figure 1D) to quantify tenacity of motors [18]. “RR with tug-of-war” and “RR without tug-of-war” events showed similar TSTALL (Figure 2E). Therefore, we find no evidence for mechanical activation of motors on phagosomes.
CC1 Domain Removes Dynein from EPs but Has No Effect on Kinesin Function
If indeed opposing motors function stochastically and independently on EPs, inhibiting one motor should have no effect on the other [1, 19]. The dynein-binding CC1 domain of p150 glued subunit of Dictyostelium dynactin was used to test this possibility (STAR Methods; Figures S2A and S2B). Late phagosomes (LPs) purified from Dictyostelium exhibit predominantly dynein-driven motion with rare activity of kinesin [9]. Incubation of LPs with CC1 peptide removed dynein from LPs (Figure 3A), possibly along with other dynein co-factors. Rab7 (LP marker) was not removed by CC1. CC1 induces a conformational change in dynein [20], and such changes may reduce dynein’s affinity to the phagosome membrane and/or to accessory proteins. CC1 inhibited LP motion in a dose-dependent manner allowing us to estimate an optimal CC1 concentration (= 1 μM) for inhibition of dynein motility on EPs (Figure 3B). CC1-treated EPs moved only in plus direction (Figure 3C; compare with Figure 1A). CC1 did not change the frequency (Figure 3D), force (Figure 3E), or TSTALL (Figure 3F) for kinesin-driven events on EPs. Therefore, abrogation of dynein activity had no apparent effect on kinesin. This suggests that kinesin functions independently of dynein on the EP and is consistent with accumulation of phagosomes at the periphery of CC1-treated cells [18]. It was presumed that inhibiting one motor should increase activity/transport of cargo by the opposing motor [1, 5, 19]. This would be expected if opposing motors engage in continuous tug-of-war. However, motors engage in intermittent (and not continuous) tug-of-war on endosomes [3] and EPs (Figure 2A). Inactivating dynein simply stops these tug-of-wars but has no observable impact on kinesin.
Force Measurements on CC1-Treated LPs
A recent report suggests that single dynein within artificial dynein-dynactin-BicD (DDB) complexes assembled on beads generates ∼4.3 pN force [21]. Dynein does not generate such a high force on native-like phagosomes (STAR Methods). We have suggested that two dyneins (each generating ∼1.1 pN) are recruited as a pair to phagosomes, resulting in peaks at ∼2-pN intervals for minus directed stalls inside mammalian cells [18] and on purified phagosomes [9]. This is consistent with very recent cryoelectron microscopy (cryo-EM) investigations where two dyneins are found paired within a single DDB complex [22, 23]. Low-force peaks (below 5 pN) were not visible in our earlier measurements, likely because of abundance and/or clustering of dynein on LPs [9]. We therefore partially inactivated dynein using CC1 to measure the single-dynein force on phagosomes. Because kinesin is rarely active on LPs [9], possible effects of kinesin on dynein’s force was avoided by using LPs. LPs were incubated with CC1 at a concentration where some residual motility still persisted (= 1 μM; Figure 3B). Figure 3G shows a histogram of stall forces for untreated and CC1-treated LPs [9]. In agreement with ∼1.1 pN force of single dynein [9, 18, 24, 25, 26, 27, 28], peaks appeared at ∼1.2 and ∼2.3 pN for CC1-treated LPs (Figures 3G and S2C). This observation suggests that CC1 removes one dynein from some of the dynein-dynactin complexes, and the activity of these (single) remaining dyneins shows up at ∼1.2 pN force. The remnant dyneins do not have impaired function because CC1-treated LPs moved with similar velocity to mock-treated LPs (1.54 ± 0.23 versus 1.39 ± 0.16 μm/s; p = 0.6).
Geometrical Considerations
We have reported an expression for the area ( = ACONTACT) from where motors on the surface of a spherical cargo may contact a MT [9]. For EPs of 750-nm diameter, ACONTACT is 0.08 μm2 (≈4% of surface area 4πR2; see Figure S3A). We have shown that dynein is quite uniformly distributed on EPs by immunofluorescence [9]. Because endogenous kinesin is difficult to detect, we assume it is also uniformly distributed on EPs. With this assumption, ∼4% of the total EP-associated kinesins or dyneins should reside within ACONTACT. Photobleaching of vesicles (90 nm diameter) from GFP-dynactin mice shows ∼3.5 dynein-dynactin subunits per vesicle [29]. Scaling by surface area, an EP of 750 nm diameter should have Nd = 3.5 × (750/90)2 = 240 total dyneins. Because 6-fold less kinesin-1 was detected on these vesicles compared to dynein, we assume Nk = Nd/6 = 40. Thus, an average of (40 × 0.04) ≈2 kinesins should be present within ACONTACT. This agrees well with peaks at ∼6 and ∼12 pN force on EPs corresponding to two kinesins [9]. STAR Methods discuss these issues further and presents another validation of kinesin numbers on EPs based on stall force histograms (also see Figure S3B).
Several proteins diffuse within a lipid bilayer with diffusion constant DLIPID ∼10 μm2/s [30]. For kinesin DLIPID, ∼1.4 μm2/s was reported [31]. The time spent by a diffusing protein within ACONTACT on an EP is T ∼0.08/[4 × DLIPID]. Depending on the above values of DLIPID, T ranges from 2 to 14 ms. Because reversals and stalls usually extend for ∼1 s (Figures 1A and 1B), diffusion of motors (both into and out of ACONTACT) happens much faster. Therefore, the averaged forces measured here are unaffected by lateral diffusion of motors on the phagosome membrane, if indeed such diffusion happens. In support of this, the plus-directed stall force histograms appear identical [18, 32] for lipid-enclosed phagosomes and kinesin-coated beads (where kinesin cannot diffuse around).
Kinetics of Reversals Can Be Explained by Simple Probability Calculations
Based on the above, we proceed with the assumption that ∼10 dyneins and ∼2 kinesins reside within ACONTACT and may therefore generate force to drive the EP. Because “RRs with tug-of-war” have no inactive period, one or the other class of motors is always attached to the MT. This should prevent thermal rotation of the EP during the RR. For “RRs without tug-of-war,” the EP fly-back time is <5 ms (Figure 2B), this fly-back being rapidly followed by attachment of opposing motors. The EP undergoes negligible thermally driven rotation during the fly-back (<1°; estimated from rotational diffusion coefficient of a sphere). Therefore, only motors within an area ACONTACT can “see” the MT during a fly-back. We have earlier presented stall force histograms for EPs (see Figure 2D in [9]). The stall force values suggest competition between ≥1 kinesin and ≥6 dyneins on EPs and that ≥6 dyneins can win a tug-of-war against 1 kinesin [3]. An RR event therefore requires that (1) ≥6 dyneins and ≥1 kinesin should both be present within ACONTACT and (2) they should both bind to a MT simultaneously (for “RR with tug-of-war”), or in rapid succession (for “RR without tug-of-war”).
For kinesin, the unloaded MT-binding rate (KON) was estimated to be ∼5 s–1 by analyzing the density profiles of kinesin-1 along tubes pulled from a giant unilamellar vesicle [33]. If 2 kinesins are present close to the MT, then a computer simulation shows that the average time required for MT binding by ≥1 kinesin is ∼0.5 s, a result that is also verified from analytical calculations (STAR Methods; Figure S4A). For dynein, it was estimated that KON ∼1.6 s–1 by fitting data of lipid droplet transport in Drosophila embryos [4]. Using this value of KON, computer simulations (Figure S4B) as well as analytical calculations show that if 10 dyneins reside within ACONTACT then ≥6 dyneins should bind to the MT within 0.5 s. Taken together, if ∼2 kinesins and ∼10 dyneins exist within ACONTACT and are allowed to bind the MT stochastically and independently, then ≥1 kinesin and ≥6 dyneins should both generate force within a 0.5-s time window. Can this be observed in our experiments?
Figures 4A and 4B show the distribution of inactive period within DK and KD reversals. The insets show representative reversals with or without intervening inactive periods. The bin size is chosen as 0.5 s based on the above discussion. Thus, the first bin (red) contains all events where ≥6 dyneins and ≥1 kinesin bound the MT simultaneously or in rapid succession to generate force and cause reversal. Therefore, this first bin essentially depicts the expected probability that ≥6 dyneins and ≥1 kinesin are both present within ACONTACT (because the EP does not rotate during fly-back). This probability is strikingly high, being 70% for KD and 80% for DK reversals. Can this be explained by a simple calculation? Let us denote P ≥ 6D as the probability of finding ≥6 dyneins, and P ≥ 1K as probability of finding ≥1 kinesins within ACONTACT. If we randomly throw a motor on the EP, the probability of it landing within ACONTACT (i.e., a “success”) is 0.04 because ACONTACT is ∼4% of the total surface area. The joint probability of finding ≥6 dyneins and ≥1 kinesins within ACONTACT is just the product of two binomial functions
(Equation 1) |
where P ≥ 6D and P ≥ 1K are, respectively, the probability for ≥6 successes in Nd trials and ≥1 successes in Nk trials. Substituting Nd = 240 and Nk = 40, we find P ≥ 6D × P ≥ 1K = 0.74. This value is in excellent agreement with the 70%–80% frequency of events within first bin (Figures 4A and 4B). Therefore, the kinetics of opposing motor activity can be explained by stochastic engagement of motors, provided the EP has a certain number of total motors on its surface (Nd ∼240 and Nk ∼40 for 750-nm EP).
Discussion
Several models have been proposed to explain bidirectional transport [1, 6, 19], including regulatory protein induced coordination [5] and mechanical activation of opposing motors [8]. However, our data do not support either of these possibilities. We provide quantitative evidence that opposing motors engage in stochastic and independent manner to cause reversals of phagosomes. We used existing estimates of dynein/kinesin numbers on cellular cargoes [4, 33], and the estimated area from where motors can engage a MT ( = ACONTACT) to calculate the probability for force generation by ≥6 dyneins and ≥1 kinesins. The calculated probability ( = 74%) is in excellent agreement with experimentally measured occurrence of RRs (Figures 4A and 4B). Taken together, EPs appear to optimize dynein and kinesin numbers on their membrane such that ≥6 dyneins and ≥1 kinesin usually have access to a single MT (for a 750-nm-diameter EP). This arrangement results in intermittent force-balanced tug-of-wars and reversals in direction of motion [3]. We believe that lipids on a cargo membrane control the number and geometrical organization of motors [9, 34, 35].
We do not claim that the stochastic tug-of-war seen here is generally applicable to all cellular cargoes. Perhaps this is a special adaptation on EPs that uses force from motors to pinch receptors off the membrane of endosomes/phagosomes for recycling. The choice between dynein and kinesin on EPs was described by the tossing a fair coin, but regulatory proteins and/or lipids may upregulate one class of motors to make this coin unfair and therefore bias transport in a desired manner. Indeed, LPs move in unidirectional manner by clustering dynein into lipid micro-domains [9]. The “coin-tossing model” presented here provides a conceptual framework and predictive capability for understanding intracellular transport. It is worth asking whether a single parameter, namely, the fairness of this coin, can describe key features of polarized transport inside cells.
STAR★Methods
Key Resources Table
Reagent or Resource | Source | Identifier |
---|---|---|
Antibodies | ||
Dictyostelium Rab7 | This manuscript | N/A |
Dictyostelium dynein heavy chain | This manuscript | N/A |
Biological Samples | ||
Purified Kinesin-1 | Goat brain | Described in Ref [36] |
Chemicals, Peptides, and Recombinant Proteins | ||
HL5 media | Formedium | HLG0102 |
Penicillin/Streptomycin | GIBCO | 15140122 |
750nm carboxylate polystyrene beads | Polysciences | 07759-15 |
Phenyl methane sulfonyl fluoride (PMSF) | Sigma | T8830 |
5 micron syringe filter | Sartorius | 16517E |
ATP | Sigma | 34369-07-8 |
Benzamidine | Sigma | 1670-14-0 |
Lysozyme | Sigma | 62971 |
Glutathione Sepharose ™ 4B | Amersham | 27- 4574-01 |
Thrombin | Sigma | 9002-04-4 |
IPTG | Sigma | 367-93-1 |
Tris | M. P. Biomedicals | 819623 |
NaCl | Merck | 7647-14-5 |
DTT | Sigma | 3483-12-3 |
CaCl2 | Sigma | 449709 |
Experimental Models: Cell Lines | ||
Dictyostelium discoideum (AX2) | Rob Kay lab | Axenic strain (DBS0235521) |
Contact for Reagent and Resource Sharing
Further information and requests for resources and reagents should be directed to and will be fulfilled by the Lead Contact, Roop Mallik (roop@tifr.res.in).
Experimental Model and Subject Details
Cell Culture, Antibody and Imaging
Dictyostelium discoideum cells were cultured axenically in HL5 medium (ForMedium) containing 100μg/ml penicillin-streptomycin. Antibody against Dictyostelium Rab7 was generated in rabbit against a peptide. Antibody against Dictyostelium dynein heavy chain was generated in mice using the purified dynein stalk head domain as an antigen. Latex bead phagosomes were prepared as previously described [9, 36]. Briefly, Dictyostelium cells were incubated with 750nm polystyrene beads and chased (5 min for EPs; 40 min for LPs) at 22°C. The cells were then pelleted at 4°C, washed and lysed using a 5μm pore-sized syringe filter. The lysate was centrifuged, phagosomes were collected along with the high-speed supernatant and frozen in liquid nitrogen. Polarity marked microtubules were prepared and motility of phagosomes was assayed at 1mM ATP concentration [11]. The assay has been described previously and used to observe motion of endosomes and phagosomes in cell extracts and inside cells [9, 18, 36]. Phagosome motion was observed using differential interference contrast microscopy (DIC) with a 100X, 1.4 NA oil objective (Nikon). Image acquisition was done at video rates (30 frames/sec no binning) with a Cohu 4910 camera. Position tracking of phagosomes was done with custom written software in Labview (National Instruments) using an algorithm which calculates position of the centroid of a cross-correlation image with sub-pixel resolution [37].
Method Details
Optical Trapping
The setup has been described [36]. A single mode diode laser at 980nm was used. The laser power at the sample plane was between 20-70 mW. A quadrant photodiode (QPD) was used to obtain stall force records and thermal fluctuation data for measuring trap stiffness. Stall force data was digitized at 2 kHz. Thermal fluctuations were recorded at 40 kHz. For measuring trap stiffness of phagosomes, the video-matching method (VMATCH) was used. The linear range of both the QPD and optical trap had been measured separately. The chosen cut-off for measuring stalls is within the measured linear range of QPD. Stall force records were analyzed with custom written programs developed in Labview (National Instruments).
Cloning and purification of proteins
Dictyostelium p150/DynA protein sequence was aligned with rat, mouse and human p150 sequences and various domains were mapped using bioinformatics software MEME from National Biomedical Computation Resource. The overall domain structure of DynA is conserved with that of mammals. CC1 domain of DynA (implicated in binding dynein intermediate chain) was cloned into pGEX4T3 vector. GST-CC1 was then purified from bacterial cells BL21 pLys by inducing 1 l culture at 25°C for 5 hr using 1 mM IPTG. Cells were pelleted and processed for purification. Cell pellet was lysed using lysis buffer (20mM Tris, 150mM NaCl, 1mM DTT pH 7.4 with 1% Triton) complemented with protease inhibitors - 1X PIC (Roche) and 1mM PMSF (Sigma T8830). Lysate was incubated with 1mg/ml lysozyme (Sigma 62971) at 4°C for 30 mins and further sonicated 5 times for 10 s with 30 s gaps on ice. After lysis, the debris and membrane were pelleted. The clarified lysate was then incubated with 1 mL GST-Beads (Glutathione Sepharose™ 4B from Amersham Biosciences 27-4574-01) for 3 hr and shaken at 4°C. The flow-through was discarded and beads were washed with 10 column volumes of wash buffer (20mM Tris, 300mM Nacl, 1mM DTT pH 7.4). To remove the GST tag, washed beads were incubated with 40 units of thrombin (Sigma 9002-04-4) in 1X PBS and 1mM CaCl2 at 4°C overnight. Finally, soluble CC1 was separated from the GST-bound beads by a low speed spin. To inactivate thrombin 5mM Benzamidine (Sigma 434760) was added to protein solution and protein was stored in aliquots at −80 degrees. For CC1 treatment, 0.4-0.45 μg of CC1 protein in PBS was added to one aliquot of EPs, incubated on ice for 10 mins followed by motility assay. For mock treatment, instead of protein, same volume of 1X PBS was added to EP aliquot. For our experiments, each aliquot of EP (36 μl) contains 5x107 to 108 phagosomes mixed in cytosol. Kinesin-1 was purified from goat brains using a nucleotide dependent microtubule affinity procedure and bead assays were performed as described [36].
Estimating Motor numbers on Phagosomes
Immuno-EM studies have shown presence of about 200 kinesins per mitochondria [38]. A single melanosome (∼500nm diameter) in Xenopus melanophores is estimated to have ∼88 myosin-V motors on it by quantitative western blotting [39]. This estimate is in good agreement with immuno-EM data showing ∼120 myosins on vesicles of ∼600nm diameter [40]. Therefore a cargo of 750nm diameter (same as EP) should have 88 × (750/500)2 = 200 myosin motors. Erickson et. al. have simulated the binding to MT of motors present on a spherical cargo [41]. When a total of 30 motors is present on a cargo of diameter 250nm, it is seen that ∼6 motors can bind a MT. These numbers again suggest that an EP could have 30 × (750/250)2 = 270 motors on it. In a recent report, upto 15 myosins were coupled to 200nm diameter liposomes to study how motor-ensembles drive vesicle transport [42]. This suggests 15 × (750/200)2 = 211 myosins on a 750nm diameter vesicle. Therefore, we believe that Nd = 240 is a reasonable estimate of the total number of dyneins on an EP. Of these 240 dyneins, a small fraction ( = 240 × 0.04 = 10 dyneins) will be active because they reside within ACONTACT ( = 4% of total surface), and can contact a MT at one time to generate force. This conjecture is in agreement with minus-directed forces upto ∼12pN seen frequently on phagosomes, presumably arising from ∼10 dyneins that appear to cooperate and generate additive forces in a team [9, 18].
Considering some uncertainty/variability in the absolute number of motors on a cargo, we decided to test our results on the basis of another parameter. This parameter is the ratio of motors above and below a certain threshold. Figure S3B presents the stall force histogram for kinesin on EPs. The histogram has been fitted to a sum of two independent Gaussian distributions. This fitting reveals that ∼40% force generation events correspond to a single kinesin, and ∼60% events require more than a single kinesin. Assuming ACONTACT = 4% and Nk = 40, we find from the binomial distribution that probability of finding 1 kinesin in ACONTACT (P1K) = 32% and more than 1 kinesin (P > 1K) = 48%. The remaining 20% correspond to no kinesin being found in ACONTACT. The use of a binomial distribution in these calculations will be elaborated in the next section. These probabilities are in reasonable agreement with the 40-60 ratio of force generation events for kinesin seen in Figure S3B. There may be some error in this estimation because unlike dynein, kinesin motors do not work cooperatively and their stall forces are not exactly additive [43].
Counting stalls in the optical trap
As discussed in the main manuscript, we will use the single-motor force values for kinesin and dynein as ∼6pN and ∼1.1pN respectively.
Plus-directed kinesin (K) stalls
To count an event as a K stall (see Figure 1A), we required that maximum Force > 3pN and TSTALL > 0.5 s. Some low-force events did not satisfy both of these criteria. They likely correspond to premature detachment of kinesin and were not counted as separate stalls [25]. For example, see the two events marked by red stars in Figure 1A (Force < 3pN and TSTALL < 0.5 s). To verify if these are indeed premature detachments, we measured velocity of the EP in a time-window of 0.2 s ( = 400 data points) just prior to detachment of motors from MT. For stalls in the premature detachment category (22 stalls used), this velocity was significantly higher than the normal stalls (Figure S1A). Therefore, stalls such as those marked with red stars in Figure 1A were counted as one KK event-pair and not as two KK event-pairs.
Minus-directed dynein (D) stalls
Unlike the plus directed stalls, low-force stalls were rarely seen for minus direction on EPs (see Figure 1A in main manuscript and Figure 2A in Ref [9].). We believe this is because of high dynein density on the EP, because dyneins appear to work as a team such that their forces and TSTALL add up, and because dynein also has a catch-bond to resist detachment from the MT [9, 18]. We double-checked for low-force stalls after reducing the laser power, but such events were still rare. However, reducing dynein activity on EPs by CC1 addition did result in low-force minus directed stalls (Figures 4G and S2C). This supports our view that single dynein generates ∼1.1pN force on the EP, but high dynein surface density and cooperativity results in robust high-force minus directed stalls on untreated EPs.
No motors engage the MT during Inactive Periods
We trapped EPs and held them close to the coverslip, but away from MTs to measure the fluctuations in position along X and Y directions. In separate experiments we also measured the fluctuation in position of EPs perpendicular to MT (i.e., Y direction) during inactive periods at trap center between two stalls (yellow boxes in Figure 1A). The SD in perpendicular position (i.e., the fluctuation) for both cases is similar (Figure S1B), suggesting that all motors have detached during the inactive period (yellow boxes in Figure 1A). The fluctuations perpendicular to MT have minimal contribution from motion along MT driven by motors. This strategy of using perpendicular fluctuations has been used earlier [25].
Force generated by Dynein on Cellular Organelles
The force on beads coated with recombinant dynein, dynein+dynactin (DD) and dynein+dynactin+BicD (DDB) complexes has been reported recently [21]. Dynein exhibited a stall force of 2.04 ± 0.02pN, which is significantly higher than the force of ∼1 pN for non-yeast dynein reported by several groups (9, 18, 24–28). The reason behind this discrepancy is unclear. DDB complexes generated 4.30 ± 0.12pN force, suggesting that single dynein within DDB complexes generates 4.3pN force [21]. In contrast to these results, our force measurement on phagosomes inside cells [18] and in reconstituted assays [3, 9] have been consistent with ∼1pN force for dynein, and two dyneins functioning as a pair on cellular vesicles. This is in agreement with the low force for dynein observed by others inside cells [32, 44]. The difference in force production between DDB complexes [21] and native vesicles [3, 9, 18, 32, 44] may indicate modulation of dynein force in vivo by co-factors that are missing in the reconstituted DDB complexes. We hope these issues can be clarified in future through concerted progress on both fronts (bead assays and assays with native-like organelles).
Computer simulations for binding of Motors to MT
Time to MT-binding of motors is obtained from computer simulations (Figure S4). In these Monte Carlo (MC) simulations we are computing the mean first passage time for binding of 6 dynein motors to the MT based on KON and KOFF. We first place an upper limit of 10 dyneins that can possibly bind to the MT (this is the number of dyneins present within ACONTACT; see main text). We then start MC with zero dyneins bound, and all the 10 dyneins are allowed to attach/detach. This is repeated many times. Similarly, a MC simulation was done for kinesin.
Time required for binding of Motors to MT
In a simplest model, let us assume that motors bind and unbind to the MT with respective rates KON and KOFF. The mean density of bound motors C(t) will then obey the equation
(1) |
This has a solution
(2) |
where Ceq is the equilibrium density of motors, which can be obtained from Eq. 1 by equating the left hand side to zero. By doing so, we obtain
(3) |
from Eq. 2, when we have
(4) |
The characteristic time it takes to reach a mean density of MT-bound motors ( = 63% of Ceq) will be
(5) |
Now, if total dyneins on EP = Nd = 240, then dyneins within ACONTACT = 240 × 0.04 ∼10. For dynein we use KON = 1.6 s-1 and KOFF = 0.27 s-1 [4]. Therefore, Ceq = 0.85. The mean density of bound motors is then (10 × 0.85 × 0.63 = 5.5). So, ∼6 dyneins would bind to the MT in t = 0.53 s (obtained from Eq. 5 after substituting values of KON and KOFF).
Similarly, if total kinesins on EP = Nk = 40, then kinesins within ACONTACT = 40 × 0.04 ∼2. For kinesin we use KON = 5 s-1 and KOFF = 1 s-1 [4]. Therefore, Ceq = 0.83. The mean density of bound motors is then (2 × 0.83 × 0.63 = 1). So, 1 kinesin would bind to the MT in t = 0.16 s.
Therefore, if ∼2 kinesins and ∼10 dyneins exist within ACONTACT, and they bind the MT independent of each other, then ≥ 1 kinesin and ≥ 6 dyneins will both bind the MT and generate force within ∼0.5 s.
Quantification and Statistical Analysis
The OriginLab package was used for data representation and statistical analysis. Student’s t test (unpaired, two tailed) was used to calculate statistical significance for difference between means (95% confidence).
Acknowledgments
R.M. acknowledges funding from a Wellcome Trust International Senior Research Fellowship (grant WT079214MA) and a senior fellowship from the Wellcome Trust – Department of Biotechnology India alliance (grant IA/S/11/2500255). P.S. acknowledges funding from the Wellcome Trust – Department of Biotechnology India alliance as an Early Career Fellowship (grant IA/E/15/1/502298). We thank R. Jha, R. Elangovan, A. Dubey, D. Pathak, S. Thakur, V. Soppina, and P. Rathaur for help with experiments and discussions.
Author Contributions
R.M. wrote the manuscript with inputs from all authors. R.M., P.S., A.D., and R.P. designed experiments. P.S., A.D., Ashim Rai, and Arpan Rai did the experiments.
Declaration of Interests
The authors declare no competing interests.
Published: April 26, 2018
Footnotes
Supplemental Information includes four figures and can be found with this article online at https://doi.org/10.1016/j.cub.2018.03.041.
Supplemental Information
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