Abstract
In many cell types, bidirectional long-range endosome transport is mediated by the opposing motor proteins dynein and kinesin-3. Here we use a fungal model system to investigate how both motors cooperate in early endosome (EE) motility. It was previously reported that Kin3, a member of the kinesin-3 family, and cytoplasmic dynein mediate bidirectional motility of EEs in the fungus Ustilago maydis. We fused the green fluorescent protein to the endogenous dynein heavy chain and the kin3 gene and visualized both motors and their cargo in the living cells. Whereas kinesin-3 was found on anterograde and retrograde EEs, dynein motors localize only to retrograde organelles. Live cell imaging shows that binding of retrograde moving dynein to anterograde moving endosomes changes the transport direction of the organelles. When dynein is leaving the EEs, the organelles switch back to anterograde kinesin-3–based motility. Quantitative photobleaching and comparison with nuclear pores as an internal calibration standard show that single dynein motors and four to five kinesin-3 motors bind to the organelles. These data suggest that dynein controls kinesin-3 activity on the EEs and thereby determines the long-range motility behavior of the organelles.
Keywords: membrane trafficking, modeling
Intracellular transport of organelles, proteins, or mRNA is common in eukaryotes (1, 2). It is usually bidirectional, which is thought to help motors to bring their cargo to the right destination (3). Intracellular transport is mediated by motor proteins belonging to the kinesins and dyneins that bind to the organelles and hydrolyze ATP to move their cargo along the microtubules (MTs) (4). Most kinesins “walk” toward the plus ends of the MTs, whereas dynein takes its cargo to the minus ends. Their collective activities organize and distribute organelles within the cell or transmit information. Motor-based cargo transport is of particular importance for highly polarized cells such as filamentous fungi and neurons and, consequently, many neuronal disorders are related to defects in axonal transport (5).
Bidirectional motility is thought to be governed by teams of opposing dynein and kinesin motors, which are tightly bound to the organelle or vesicle (1, 2). Quantitative analyses of motor numbers in living cells have shown that a few motors of each type bind to the same organelle, where they coordinate and control each other's activity (3, 6, 7). The number of bound motors is remarkably similar in different systems, usually ranging from one to five motors of each type (7–10), although in a few cases larger numbers were also reported (11, 12). The presence of both kinesin and dynein on a cargo implies that both motors may be pulling on the cargo at the same time, which leads to essentially no motion of the cargo. Bidirectional transport, in which the cargo switches from plus motion to minus motion and vice versa, could be induced by a putative coordination complex that ensures that only one of the two motor teams is active at a given time (1). However, such a coordination complex has not yet been identified. Instead, bidirectional motility can arise from a stochastic tug-of-war, in which the number of actively pulling motors changes by fluctuations (13). Regulatory proteins could influence such stochastic tug-of-war and can lead to a large variety of transport patterns. Indeed, strong evidence from work on Drosophila lipid droplets (8, 9, 14) or peroxisomes (11) and melanosome movement (6) demonstrates that kinases (15, 16), dynactin (17), and other factors (8, 18, 19) control bidirectional membrane trafficking.
In this study we use the genetically tractable fungal model system Ustilago maydis to analyze the role of motors and MTs in long-range transport of early endosomes (EEs). This fungus provides a broad spectrum of technical advantages and shares remarkable similarity with human cells (20). Among the genes that are conserved between humans and U. maydis are several components of the MT-based transport machinery in neurons, such as kinesin-1, kinesin-3, and the dynein light chain roadblock. In mammalians these proteins are required for long-distance transport of membranes (4, 21) and similar roles were suggested in U. maydis (22). In this fungus, the only membranous cargo known to travel in a bidirectional fashion along MTs is EEs (23). Similar to that in humans (24) and amoebas (10), kinesin-3 motors carry the EEs to MT plus ends at the hyphal tip (anterograde motility) (25, 26), where they support polarized growth and mating by local endocytic recycling (23, 27). The importance of the retrograde dynein-driven EE motility is unknown, but it might mediate communication with the nucleus (28).
In previous studies of bidirectional transport, it was assumed, either implicitly or explicitly, that motors of opposing activity simultaneously attach to the cargo. By visualizing native levels of dynein and kinesin-3 during their interaction with the EEs we have discovered an unexpected mechanism by which these motors cooperate. We provide unique experimental evidence that organelle motility can be controlled by loading motors during a cargo run.
Results
Early Endosomes Switch Between Long Phases of Anterograde and Retrograde Motility.
In the elongated hyphal cells of the fungus (Fig. 1A) EEs move bidirectionally along MTs (26). Dynein is concentrated at MT plus ends in the growing cell tip (26) (Fig. 1A, growth region indicated by asterisk), and it was suggested that dynein stays there to receive arriving EEs for retrograde transport back toward the cell center. If the apical dynein accumulation serves as a loading zone, all EEs have to reach the hyphal tip before changing direction. We tested this by visualizing anterograde motility of photoactivatable green fluorescent protein (paGFP) fused to the small endosomal GTPase Rab5a, which has been shown to localize to EEs in U. maydis (27). The use of this GFP variant enabled us to visualize subsets of EEs and reduced interferences. When activated by a pulse of 405 nm laser light near the nucleus (Fig. 1A, arrowhead, 405 nm), the EEs became visible, moving over long distances toward the MT plus ends in the hyphal tip before they changed direction for retrograde motility (Fig. 1B, blue arrowheads, and Movie S1). Despite a minor difference in velocity, no significant disparity was found in run length, flux, or pausing between anterograde and retrograde EEs (Table S1). The majority of the EEs (∼74%, n = 321) changed from anterograde to retrograde before reaching the hyphal tip (Fig. 1B, yellow arrowheads), suggesting that they have not reached the dynein comets at the apical MT plus ends. Indeed, coexpression of paGFP-Rab5a and a fusion protein of a triple-mCherry3 tag and the endogenous dynein heavy chain gene demonstrated that EEs frequently reversed direction without meeting the apical dynein accumulation (Fig. 1C, anterograde to retrograde turning indicated by arrowheads). This oscillatory motility of EEs was reminiscent of a stochastic switching of transport direction as proposed by the tug-of-war scenario (13).
Kinesin-3 and Dynein Mediate Bidirectional Endosome Transport.
It was previously shown that the steady-state distribution of EEs depends on kinesin-3 and dynein, suggesting that both motors participate in bidirectional EE trafficking (25, 26). Indeed, when paGFP-Rab5a was photoactivated in subapical regions of kinesin-3 null mutant hyphae, no anterograde motility of EEs was observed (Fig. 1D, Δkin3). Similar photoactivation in hyphae expressing a conditional allele of dynein heavy chain revealed a block in retrograde vesicle motility (Fig. 1E, Dyn2ts). We therefore conclude that kinesin-3 and dynein mediate long-range EE motility. To better understand how kinesin-3 and dynein mediate bidirectional EE trafficking we set out to visualize the motors underlying this motility. We fused a triple GFP tag to the endogenous dynein heavy chain gene dyn2, which is essential for cell survival in U. maydis (29). The use of a triple-tandem repeat of GFP enabled us to visualize the otherwise faint signals traveling along the MTs. Fusing tags to Dyn2 did not cause any growth defect (Fig. S1, GFP3-Dyn2; compare with the conditional dynein mutant, Dyn2ts), indicating that the GFP-fusion proteins were functional. We found numerous fluorescent signals that moved bidirectionally in all parts of the hyphal cell (Fig. 2A, retrograde, red arrowheads; anterograde, blue arrowheads; and Movie S2). Previous work has shown that the apical concentration of dynein at MT plus ends depends on fungal kinesin-1 (26, 30), suggesting that the anterograde motility of dynein reflects kinesin-1 delivery to MT plus ends near the cell tip, whereas dynein moves in a retrograde direction on its own. To better visualize retrograde dynein motility, we photobleached a region behind the hyphal tip and observed dynein signals processively moving from the tip into this bleached subapical area (Fig. 2B). This treatment did not affect the motility of the motors. We next set out to visualize kinesin-3. We did not succeed in fusing a triple-GFP tag to kinesin-3, but managed to generate a fusion of kin3, which encodes kinesin-3 in U. maydis (25) and single GFP. When expressed under the native kin3 promoter, these native levels of kinesin-3–GFP were able to rescue the deletion phenotype, suggesting that the fusion protein is biologically active (Fig. S1, Δkin3). In hyphae kinesin-3–GFP showed rapid long-range motility, which again was best visible when parts of the cell were pretreated with 405 nm laser light to clear the region of interfering signals (Fig. 2C and Movie S3). We frequently observed kinesin-3–GFP signals that reversed direction (Fig. 2D and Movie S4). To test whether the motor is attached to anterograde and retrograde EEs we coexpressed kinesin-3–GFP and a red-fluorescent mCherry-Rab5a fusion protein. Indeed, kinesin-3 was found on anterograde (Movie S5) and on retrograde EEs (Fig. 2E). Less than 2% of all kinesin-3 signals did not colocalize with EEs (n = 326 anterograde signals and 482 retrograde signals). In contrast, dynein was absent from most anterograde moving EEs (97% without dynein, n = 102; Fig. 2F and Fig. S2), whereas retrograde moving EEs colocalized with dynein (93.5%, n = 107; Fig. 2G and Movie S6). In addition, some dynein signals moved toward MT minus ends without carrying EEs (Fig. 2G, arrowhead). Therefore, we conclude that kinesin-3 is always bound to the cargo, whereas dynein is associated only with retrograde EEs and is not a passive cargo on anterograde moving EEs.
Single Dynein Opposes Several Kinesin-3 Motors.
We next set out to obtain quantitative information about the number of motors involved in motility of single EEs. Protein numbers can be determined by an analysis of their bleaching behavior (7, 31–33). To apply this method to our living cells we had to immobilize the rapidly moving GFP3–dynein and kinesin-3–GFP signals so that the signals stay in focus while being observed with a 488-nm laser. We did this by mild treatment with carbonyl cyanide 3-chlorophenyl-hydrazone (CCCP), a drug that reversibly inhibits cell respiration resulting in reduced ATP levels (34). This treatment stopped dynein and kinesin-3 motility and anchored the motors to the MTs, but did not kill the cells because motility could be restored by removing the drug with fresh medium (Fig. S3 A and B). To distinguish between anterograde and retrograde dynein signals, we applied the drug after they traveled into photobleached regions (SI Methods). Indeed, we found that signals bleached in distinct steps (identified by the algorithm STEPFINDER) (35) (Fig. 3A). The size of the steps varied, indicating that individual steps are due to bleaching of either single or multiple GFPs. The reduction in fluorescence intensity for the smallest steps followed a Gaussian distribution (Fig. 3B), suggesting that they represent bleaching of one GFP. Consequently, large step sizes are likely to be due to bleaching of several GFP molecules (e.g., three GFPs for step 1 in Fig. 3A). Bleaching of GFP3–dynein occurred in one to six steps (Fig. 3C), indicating that the signals come from 6× GFP, which represents two triple-GFP tags fused to the dynein heavy chain.
We confirmed these results by using a fusion protein of GFP to the endogenous nuclear porin Nup107 and used this as an internal calibration standard. Nuclear pores became visible (Fig. 3D) that contained 16 of the Nup107-GFP proteins (36). Individual pores show an even fluorescence intensity (Fig. 3D, Inset; fluorescence intensity given in pseudocolors) and the average fluorescence intensity of a single Nup107-GFP corresponded to the reduction in fluorescence intensity in a single photobleaching step (loss per bleaching step, 50.45 ± 1.91 arbitrary units, n = 50; intensity of one GFP in nuclear pore calibration, 50.63 ± 1.25 arbitrary units, n = 50; not different, P = 0.9366). Using GFP-Nup107 as a standard, we estimated the intensity of the majority of GFP3–dynein signals coming from six GFP tags (Fig. 3E). These data confirm that single dynein motors move along MTs. In contrast to dynein, kinesin-3–GFP signals were much stronger and varied in intensity. We measured the fluorescence intensity of anterograde kinesin-3–GFP in video sequences by comparing anterograde signals to Nup107-GFP. Assuming that kinesin-3 dimerizes (33), this analysis indicates four to six kinesin-3 motors bound to a single EE (Fig. 3F). We set out to confirm this result by a bleaching step analysis of CCCP-immobilized signals. However, the stationary kinesin-3–GFP signals lost intensity with time in CCCP (Fig. 3G) and according to the internal calibration standard were dropping from five to three kinesin-3–GFPs. In contrast, GFP3–dynein signal intensities remained stable over time (Fig. 3G). Therefore, we consider it possible that only a subset of kinesin-3 motors is anchored to MTs in the presence of CCCP. To obtain more stable signals for bleaching step analysis, we mildly fixed the cells with 0.1% formaldehyde, which immobilized the signals within a few minutes. Under these conditions kinesin-3–GFP photobleached in 2–11 steps, corresponding to four to five kinesin-3 dimers (Fig. 3H). Taken together, these data demonstrate that we were able to visualize single motors in the living cell, which revealed that one dynein supports retrograde EE transport, whereas anterograde movement might involve three to five kinesin-3 dimers.
In Vivo Observation of Cargo and Motors Supports an “On-the-Run” Loading of EEs.
Dynein concentrates at MT plus ends, which are enriched at the cell tip, but are also found in subapical parts of the cell (26). It was suggested that this dynein accumulation serves as a reservoir of motors that capture arriving EEs for retrograde motility (26). In this study we show that the majority of the anterograde EEs change transport direction before reaching the dynein at the hyphal tip. There are two possible explanations for this behavior: (i) EEs change transport direction at subapical dynein accumulations formed at cytoplasmic MT ends or (ii) dynein takes over while EEs are traveling toward MT plus ends (on-the-run loading). We tested this result by observing paGFP-Rab5a carrying EEs in cells expressing mCherry-dynein. In kymographs a significant portion of the EEs changed transport direction independent of any dynein accumulation (Fig. 4A, event “2”; subapical dynein accumulation at tips of growing MTs indicated by blue arrowheads), which occurred over the whole length of the hypha (Fig. 4B), suggesting that EEs indeed interact with dynein while moving toward MT plus ends.
If the change in transport direction of EEs near the nucleus is a consequence of an on-the-run loading of EEs, dynein motors that leave the apical MT plus ends need to travel over long distances to meet the anterograde EEs. To measure the retrograde run length of dynein we made use of a strain in which the endogenous copy of the dynein heavy chain is fused to 3× photoactivatable GFP (paG3Dyn2) (36). After activation at the hyphal tip using a 405-nm laser pulse, paG3Dyn2 signals became visible. These signals traveled toward the cell center (Fig. 4C, red arrowheads) and usually disappeared after ∼10 μm (median: 12.36 μm; Fig. S4). However, ∼24% of all dynein signals moved over distances >20 μm and maximum run length was found to be 44.5 μm. These experiments suggest that dynein has the capacity to move over long distances, which could support a change in EE transport direction in subapical regions of the cell.
The data presented suggest that EEs meet dynein, which gets loaded while the organelles are on the run. If this assumption is true, we expected to see such a loading mechanism when visualizing GFP-labeled dynein and mCherry-Rab5a–labeled EEs. We did these experiments in regions that were prebleached by 405 nm laser light to clear the cell from interfering signals. We observed anterograde moving EEs meeting retrograde moving dynein signals on single tracks. In most cases (242 of 247 events in 30 cells) dynein passed by the EEs. However, 2.02% of all dynein (5 of 247 events) continuously colocalized with the EEs, which in all cases led to a turn from anterograde to retrograde motility [Fig. 5 A and B (Loading) and Movie S7]. These findings suggest that dynein bound to the EEs and forced a change in transport direction. We did numerous additional experiments (>200 cells) and collected further collision events. Analyzing these revealed that turning happened after 111.4 ± 127.8 ms (n = 35 binding events; Fig. 5C). Release of dynein from the EEs either resulted in a retrograde-to-anterograde turn (61.5%, n = 52) [Fig. 5 A (Upper, Release) and B (Release, Antero) and Movie S7] or led to a pause for >0.75 s [Fig. 5 A (Lower, Release), B (Release, Pause), and C] that often was accompanied by Brownian motion. This behavior indicates that EEs have lost contact with their track. Occasionally, pausing was followed by continued retrograde motility without dynein binding, suggesting that kinesin-3 is able to move retrogradely in subapical regions where MTs are antipolar (26). Finally, we noted that the kinesin-3 signal varied in intensity during anterograde and retrograde movement (Movie S8). We quantified this effect in anterograde kinesin-3 spots and in most cases (73.3%, n = 30) found a transient decrease in signal intensity before a change in transport direction (Fig. 5D). Changes in motor numbers are predicted to have a significant influence on the balance of forces during tug-of-war (13). The transient reduction of kinesin-3 motor might therefore foster dynein to bind to membranes and/or to win over kinesin-3 in a tug-of-war.
Discussion
Many cellular cargos display bidirectional motion along microtubules (1, 2). This motility is powered by the opposing motor complexes kinesin and dynein (4). These motors simultaneously bind to their cargo, which was shown in various cell systems, including fish and frog melanosomes (37), amoebas (38), lipid droplets in flies (14), intraflagellar transport in worms and algae (39, 40), and vesicles in mammalian axons (41, 42). The concurrent presence of kinesin and dynein is thought to be crucial for motor activity (3, 13, 43), but also recycles the motor back to MT plus ends (39, 41). In fungi, kinesin-1 is thought to be involved in this process (26, 30), making it likely that the observed anterograde motility of dynein is due to kinesin-1 activity. It remains to be seen whether both motors directly interact (42) or attach to the same membranous cargo (41).
Bidirectional motility can be explained by a tug-of-war scenario (44), where the cargo can be pulled by two different motor teams that simultaneously bind to the membrane. This concept gained recent experimental support (7, 10), and our observations on the long-range EE motility in U. maydis are consistent with an extended tug-of-war scenario, in which the EE is pulled by kinesin-3 and dynein, but the presence of dynein varies with time. Indeed, during anterograde motility, only kinesin-3 is present on the organelle, whereas a change in transport direction depends on the binding and unbinding of dynein. Such a possibility of motility transitions due to changes in the size of the motor teams has been theoretically considered (13, 44). In principle, the dynein could be recruited from the cytoplasm. However, we never observed such recruitment from a soluble pool. Instead, dynein appears to be released from the comet-like reservoir at MT-plus ends (Fig. 6A) (36). We suggest here that this retrograde moving dynein meets EEs while they move to MT plus ends. Theoretical modeling further suggests that such a mechanism can account for the observed behavior of EEs (SI Methods and Fig. S5). The conceptual novelty of this mechanism is that the anterograde and retrograde run length of the organelles is determined by the stochastic binding and unbinding of dynein. In other words, the probability of dynein interacting with the EEs underlies the observed bidirectional behavior of the organelles.
In our system EEs carry one dynein and approximately three to five kinesin-3s. However, when dynein binds to EEs, it always changes the transport direction. Although these motor numbers are in agreement within reported numbers in other cell systems (7, 9, 10), their ratio is not. Bidirectional motility of lipid droplets in flies (9) and endosomal/lysosomal vesicles in primary neurons (7) is mediated by an almost even ratio of dyneins and kinesins. Furthermore, in the amoeba Dictyostelium discoideum EE transport is governed by a single kinesin-3 motor that counteracts numerous weaker dyneins (10). Possible explanations for the difference in U. maydis are that not all EE-bound kinesin-3 motors are active and therefore do not participate in a tug-of-war with dynein. Indeed, kinesin-3 numbers fluctuate while signals move along MTs, and under CCCP-induced ATP depletion only three of five kinesins tightly bind to MTs. Although it is possible that the CCCP treatment is not efficiently anchoring kinesin-3, these data might also indicate that some motors are not bound to the MTs and therefore do not compete with dynein during EE motility. However, the remaining three to four kinesins are predicted to be sufficient for long-range transport of cargo (SI Methods). Finally, motors from different cell types and organisms might operate differently and exert various forces. In D. discoideum one kinesin-3 produces 5–6 pN (10), whereas mammalian kinesin-3 (Kif1A) exerts a lower force (∼2.5 pN) (45). Thus, we consider it possible that in U. maydis one strong dynein could overcome the few relatively weak kinesin-3 motors in a tug-of-war.
It is important to note that our analysis was done in living cells. Here, MTs bind numerous associated proteins, which could become obstacles for motor-based transport (46, 47) that can selectively inhibit kinesin attachment to MTs (48). It seems possible that such “roadblocks” occasionally interfere with retrograde EE trafficking, thereby causing the unbinding of dynein from the organelle. After dynein left the EEs, many organelles paused, which might reflect the time needed for kinesin-3 motors to rebind the MTs. Thus, long-range motility of EEs in U. maydis could be controlled by a series of events (Fig. 6B): (i) dynein stochastically binds to anterograde EEs and wins in a tug-of-war over kinesin-3; (ii) while dynein moves the EEs, most kinesin-3 motors are detached from the MTs and therefore unable to take over; and (iii) when the EE hits an obstacle, dynein falls off the EE and kinesin-3 rebinds to take the organelle back toward the plus ends. Such a mechanism is unique, as the stochastic binding and release of dynein limit the run length of kinesin-3 and thereby control EE motility. In this model, cargo-free dynein meets anterograde EEs on their way to the tip. Alternatively, dynein might be bound to some unknown retrograde cargo and the collision of EEs with this cargo–motor complex could trigger minus-end–directed motility. We currently cannot distinguish between these options, but for both mechanisms dynein needs to travel over long distances to meet the anterograde EEs. Indeed, we do find dynein signals moving over >30 μm in the retrograde direction. This run length significantly exceeds the distance dynein travels in vitro (49, 50). The molecular basis for this large run length of dynein is not known. Single-molecule studies on purified motors have shown that associated factors, such as dynactin, NudE, and Lis1, increase the processivity of dynein (49, 50). It remains to be seen whether these factors are required for dynein motility in U. maydis and whether a similar dynein-based mechanism controls long-range membrane transport in neurons.
Methods
Strains, Plasmids, and Growth Conditions.
All U. maydis strains and plasmids are listed in the SI Methods, Table S2. Plasmids were constructed using standard techniques. U. maydis transformation techniques were described elsewhere (26). Strains were grown at 28 °C in complete medium/1% glucose. Hyphal growth was induced by shifting to nitrate minimal medium supplemented with 1% glucose. Temperature-sensitive mutants were grown at 22 °C and shifted to 32 °C for 2 h before observation.
Microscopy and Image Analysis.
Cells were observed using an IX81 microscope (Olympus) and a VS-LMS4 Laser-Merge-System (Visitron). Photoactivation and photobleaching experiments were performed using a 405-nm/60-mW diode laser. Colocalization was performed using a Dual-View Microimager (Photometrics) and appropriate filters. Images were captured using a Photometrics CoolSNAP HQ2 camera (Roper Scientific). The system was controlled by MetaMorph (Molecular Devices). All measurements and image processing were done using MetaMorph, and statistical analysis was done using Prism4 (GraphPad). ATP-depletion cells were induced by treatment with 100 μM CCCP (carbonyl cyanide 3-chlorophenyl-hydrazone; Sigma-Aldrich Ltd). Quantitative photobleaching experiments were done using the step-find algorithm (35) as previously described (36). Comparison of GFP3-Dyn2 and Kin3-GFP with the nucleoporin Nup107-GFP as internal calibration standard followed published procedures (36). For more detailed information on all methods, see SI Methods.
Supplementary Material
Acknowledgments
We thank G. Fink for establishing photoactivatable GFP-Rab5a, Dr. M. Feldbrügge for providing strain AB5Dyn2ts that was used to generate strain AB5Dyn2ts_paGRab5a, and Dr. Jacob Kerssemakers for help with the bleaching step analysis. This project was supported by Biotechnology and Biological Sciences Research Council Grant BB/F022956/1, Deutsche Forschungsgemeinschaft Grants STE 799/4-3 and SFB593, and the Max-Planck Institute for terrestrial Microbiology, Marburg, Germany.
Footnotes
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1015839108/-/DCSupplemental.
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