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. 2015 Nov 18;4:e10542. doi: 10.7554/eLife.10542

Kinesin Kip2 enhances microtubule growth in vitro through length-dependent feedback on polymerization and catastrophe

Anneke Hibbel 1,6, Aliona Bogdanova 1, Mohammed Mahamdeh 2, Anita Jannasch 1,3, Marko Storch 4, Erik Schäffer 3, Dimitris Liakopoulos 5, Jonathon Howard 2,*
Editor: Andrea Musacchio7
PMCID: PMC4758950  PMID: 26576948

Abstract

The size and position of mitotic spindles is determined by the lengths of their constituent microtubules. Regulation of microtubule length requires feedback to set the balance between growth and shrinkage. Whereas negative feedback mechanisms for microtubule length control, based on depolymerizing kinesins and severing proteins, have been studied extensively, positive feedback mechanisms are not known. Here, we report that the budding yeast kinesin Kip2 is a microtubule polymerase and catastrophe inhibitor in vitro that uses its processive motor activity as part of a feedback loop to further promote microtubule growth. Positive feedback arises because longer microtubules bind more motors, which walk to the ends where they reinforce growth and inhibit catastrophe. We propose that positive feedback, common in biochemical pathways to switch between signaling states, can also be used in a mechanical signaling pathway to switch between structural states, in this case between short and long polymers.

DOI: http://dx.doi.org/10.7554/eLife.10542.001

Research Organism: S. cerevisiae

eLife digest

Cells contain an extensive network of long filaments called microtubules, which are made of a protein called tubulin and are essential for a wide variety of processes such as enabling cells to divide and move. Microtubules also serve as tracks along which motor proteins transport molecules from one part of the cell to another.

In yeast cells, a motor protein called Kip2 transports its cargo to one end (known as the “plus end”) of the microtubules. This is the fastest-growing end of the microtubule, although it frequently switches between phases of growth and shrinkage. Previous research has shown that cells containing reduced amounts of Kip2 have much shorter filaments than normal cells. One suggested explanation of these results is that Kip2 controls microtubule growth by transporting a protein that regulates filament length to the plus end of the microtubule.

However, by adding purified Kip2 to microtubules Hibbel et al. have now shown that Kip2 on its own can increase the length of filaments. The microtubules also switch much less frequently between growth and shrinkage in the presence of Kip2. This is because Kip2 moves along filaments at a speed that is greater than the rate at which microtubules grow. This sets up a positive feedback loop that causes microtubule growth to accelerate, as more copies of Kip2 can bind to longer microtubules. Each of these motor proteins can then move to the plus end of the microtubule and help the filament to grow even longer.

Several challenges remain. What is the molecular mechanism by which Kip2 increases the rate at which tubulin subunits are added to the microtubule end: does Kip2 carry tubulin dimers to the end in a shuttle-type mechanism? How does Kip2 prevent other proteins from promoting shrinkage? What stops microtubules from growing when they reach the end of the cell?

DOI: http://dx.doi.org/10.7554/eLife.10542.002

Results and discussion

The budding yeast kinesin Kip2 promotes microtubule growth in vivo. Deletion of this kinesin results in nuclear migration defects, and the phenotype is associated with shorter, less abundant cytoplasmic microtubules (Cottingham and Hoyt, 1997; Huyett et al., 1998; Miller et al., 1998; Caudron et al., 2008). Conversely, Kip2 overexpression results in hyper-elongated cytoplasmic microtubules (Carvalho et al., 2004). The stabilization of microtubules by Kip2 is thought to be indirect and a consequence of Kip2 transporting the growth regulator Bik1 (Clip170) to microtubule plus ends (Carvalho et al., 2004; Caudron et al., 2008).

To test whether Kip2 alone can promote microtubule growth, the activity of full-length, purified Kip2 was measured in dynamic microtubule assays using porcine tubulin in the presence of adenosine triphosphate (ATP) (Gell, et al., 2010; 2011) (Figure 1A). Within 10 min, Kip2 (Figure 1B,C), as well as Kip2-enhanced green fluorescent protein (eGFP) (Figure 1—figure supplement 1A), strongly increased the length of freshly polymerized microtubules (p<0.0001, Welch’s unpaired t-test, please refer to Table 1 for porcine microtubule parameter values). The effect of Kip2 on microtubule length was almost completely inhibited when ATP was replaced by the non-hydrolyzable ATP analog adenylyl imidodiphosphate (AMP-PNP) (Figure 1C, blue markers, p<0.0001), showing that growth promotion requires ATP hydrolysis. To quantify how Kip2 influences microtubule dynamics, we drew kymographs from the time-lapse images of the dynamic microtubule assay (Figure 1D). Kip2 increased the growth rate of microtubules (the slope of the growing microtubule in the kymograph) 2.9-fold (Figure 1E). In addition, Kip2 reduced the frequency of catastrophe (the transition between growth and shrinkage phases) approximately 10-fold (Figure 1F). Kip2 did not affect the shrinkage rate (Figure 1—figure supplement 1B), or the frequency of rescue (the transition between shrinkage and growth phases, Figure 1—figure supplement 1C). All dynamic data on porcine tubulin are contained in Table 1. Note that rescue is not expected to have a large effect on microtubule length in our assays. This is because at lower Kip2 concentrations (< 10 nM), the average distance shortened following catastrophe (the shrinkage rate divided by the rescue frequency) is greater than the average distance grown before catastrophe (the growth rate divided by the catastrophe frequency), so microtubules usually shrink all the way back to the seed (as expected by theory, Verde et al., 1992). On the other hand, at higher Kip2 concentrations, catastrophes are so rare that microtubules are expected to be very long before they catastrophe (>18 μm for [Kip2] ≥ 10 nM). Consistent with the small contribution of rescue, the measured increase in microtubule length accorded with the effects of Kip2 on the growth rate and the catastrophe frequency alone (Figure 1C, red line). The half-maximal stimulation of polymerization and inhibition of catastrophe occurred at ≈7 nM Kip2. Given that the cellular concentration of Kip2 is ≈25 nM (Ghaemmaghami et al., 2003), these results show that Kip2 affects microtubule dynamics in vitro at physiologically relevant concentrations.

Figure 1. Kip2 is a microtubule polymerase and an anti-catastrophe factor for porcine tubulin.

(A) Schematic of the experimental design: porcine tubulin (green) polymerizes onto stabilized microtubules (red) bound to the coverslip with antibodies (blue), imaged using TIRF microscopy. (B) Microscopy images of dynamic microtubules grown from stabilized seeds without (left) and with 40 nM Kip2 (right) at t = 10 min. (C) Microtubule length as a function of Kip2 concentration in ATP (black circles) or AMP-PNP (blue circles) at t = 10 min. The red line indicates the expected microtubule length at t = 10 min, calculated from the measured growth rates and catastrophe frequencies in Table 1 according to the formula L = (v+/f+-)[1-exp(-tf+-)], where v+ is the growth rate and f+- is the catastrophe frequency (ignoring rescues and assuming that regrowth occurs without delay). (D) Kymographs showing typical microtubule growth without (left) and with 5 nM Kip2 (right) in ATP. (E) Microtubule growth rate as a function of Kip2 concentration in ATP. (F) Catastrophe frequency as a function of Kip2 concentration in ATP. All error bars are standard errors of the mean. Please refer to Table 1 for values. AMP-PNP, adenylyl imidodiphosphate; ATP, adenosine triphosphate; TIRF, total internal reflection fluorescence.

DOI: http://dx.doi.org/10.7554/eLife.10542.003

Figure 1.

Figure 1—figure supplement 1. Kip2 has no significant effect on microtubule shrinkage rate or rescue frequency.

Figure 1—figure supplement 1.

(A) Porcine microtubule length at 0 or 40 nM Kip2-eGFP in ATP, measured at t = 10 min. (B) Porcine microtubule shrinkage rate as a function of Kip2 concentration. The gray box indicates the Kip2 concentration regime in which microtubule catastrophe is very rare, and we did not quantify microtubule shrinkage rate. The data were fitted by linear regression, weighted by the SE. Slope = 0.09 ± 0.11, y-intercept = 28.1 ± 0.58 μm/min. (C) Porcine microtubule rescue frequency (shrinkage rate divided by rescue distance) as a function of Kip2 concentration. The gray box indicates the Kip2 concentration regime in which microtubule catastrophe is very rare and we did not measure shrinkage rate or rescue frequency. The data were fitted by linear regression, weighted by the SE. Slope = 0.17 ± 0.07, y-intercept = 0.18 ± 0.11 μm. The slope was not significantly different from zero (p>0.05). Error bars are SE. ATP, adenosine triphosphate; SE, standard error of the mean.
DOI: http://dx.doi.org/10.7554/eLife.10542.004

Figure 1—figure supplement 2. Kip2 is a microtubule polymerase and an anti-catastrophe factor for yeast tubulin.

Figure 1—figure supplement 2.

(A) Kymographs from DIC microscopy showing typical microtubule growth with 4-μM unlabeled yeast tubulin without (left) and with Kip2 (5 nM, center, 20 nM, right) in ATP. (B) Yeast microtubule growth rate as a function of Kip2 concentration in ATP. (C) Catastrophe frequency as a function of Kip2 concentration of yeast microtubules in ATP. Error bars are SE. Please refer to Table 2 for values. ATP, adenosine triphosphate; DIC, differential interference contrast; SE, standard error of the mean.
DOI: http://dx.doi.org/10.7554/eLife.10542.005

Figure 1—figure supplement 3. Kip2 increases the growth rate in GTP-tubulin and lowers the off rate of GMPCPP tubulin.

Figure 1—figure supplement 3.

(A) Porcine microtubule growth rate from GMPCPP seeds as a function of tubulin concentration in ATP without Kip2 (red) and with 40 nM Kip2 (black) in solution. The data were fit using linear regression, weighted by the SE. The slope corresponds to a second-order association rate for free GTP-tubulin dimers of 0.70 ± 0.30 μM-1·s-1 without Kip2 and 1.48 ± 0.16 μM-1·s-1 with 40 nM Kip2. The y-intercepts were –1.9 ± 4.0 s-1 without Kip2 and –0.21 ± 1.6 s-1 with 40 nM Kip2; the intercepts did not differ significantly from zero. (B) Shrinkage rates of GMP-CPP microtubules at 0 nM Kip2 (light gray) and 40 nM Kip2 (dark gray) in ATP and AMP-PNP. Error bars are SEs. AMP-PNP, adenylyl imidodiphosphate; ATP, adenosine triphosphate; GTP, guanosine-5'-triphosphate; SE, standard error of the mean.
DOI: http://dx.doi.org/10.7554/eLife.10542.006

Figure 1—figure supplement 4. SDS–PAGE gels of Kip2 and Kip2-eGFP.

Figure 1—figure supplement 4.

Lane 1: Pooled Kip2 fractions after gel filtration (78 kDa). Lane 2: Pooled Kip2-eGFP fractions after gel filtration (105 kDa). Molecular weight markers (Seeblue Plus2) are indicated by horizontal lines. eGFP, enhanced green fluorescent protein; SDS–PAGE, sodium dodecyl sulfate polyacrylamide gel electrophoresis.
DOI: http://dx.doi.org/10.7554/eLife.10542.007
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Table 1.

Parameters of microtubule dynamics for 12 μM porcine tubulin (mean ± SE).

DOI: http://dx.doi.org/10.7554/eLife.10542.008

[Kip2]
(nM)		 Length
(μm)		 Growth rate
(μm/min)		 Catastrophe
frequency
(min-1)		 Catastrophe
distancea
(μm)		 Shrinkage rate
(μm/min)		 Rescue
frequency
(min-1)		 Rescue distanceb
(μm)
0 1.0 ± 0.1
(n = 54)		 0.32 ± 0.02
(n = 172)		 0.166 ± 0.015
(n = 126)		 1.9 ± 0.2 27.6 ± 1.0
(n = 130)		 0.88 ± 0.33
(n = 7)		 32 ± 12
1 1.0 ± 0.2
(n = 75)		 0.37 ± 0.01
(n = 152)		 0.126 ± 0.012
(n = 104)		 2.9 ± 0.3 27.7 ± 0.9
(n = 85)		 0.20 ± 0.14
(n = 2)		 140 ± 100
2 2.1 ± 0.2
(n = 88)		 0.35 ± 0.01
(n = 159)		 0.135 ± 0.013
(n = 115)		 2.6 ± 0.3 29.7 ± 0.9
(n = 110)		 0.54 ± 0.24
(n = 5)		 55 ± 25
5 5.3 ± 0.2
(n = 82)		 0.62 ± 0.03
(n = 77)		 0.065 ± 0.011
(n = 33)		 10 ± 2 28.4 ± 1.8
(n= 45)		 2.2 ± 0.7
(n = 9)		 13 ± 4
10 6.4 ± 0.2
(n = 75)		 0.78 ± 0.03
(n = 38)		 0.043 ± 0.011
(n = 16)		 18 ± 5 29 ± 4
(n = 18)		 1.8 ± 0.7
(n = 6)		 16 ± 6
20 7.7 ± 0.3
(n = 68)		 0.99 ± 0.04
(n = 36)		 0.020 ± 0.006
(n = 10)		 50 ± 16 - -. -
40 8.8 ± 0.6
(n = 26)		 0.94 ± 0.05
(n = 18)		 0.004
(n = 1)		 235 - - -
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aThe catastrophe distance is the growth rate divided by the catastrophe frequency.

bThe rescue distance is the shrinkage rate divided by the rescue frequency.

To exclude potentially confounding effects introduced by using fluorescently labeled porcine brain tubulin, as well as to confirm that Kip2, which is a yeast protein, has the same activity on its conspecific protein, we repeated the dynamic microtubule assays with unlabeled yeast tubulin (Widlund et al., 2012) and differential interference contrast (DIC) microscopy (Figure 1—figure supplement 2A, please refer to Table 2 for yeast microtubule parameter values). Consistent with our porcine tubulin results, Kip2 increased the yeast microtubule growth rate by 2.3-fold and inhibited catastrophe 20-fold (Figure 1—figure supplement 2B,C). The half-maximal stimulation of polymerization and inhibition of catastrophe for yeast tubulin occurred at ≈12 nM Kip2, similar to the concentration at which Kip2 regulates porcine brain microtubules. In summary, Kip2 is a microtubule polymerase and anti-catastrophe factor in vitro and does not require additional proteins such as Bik1 for these activities. We will defer discussing a potential role for Bik1 until the end of the manuscript.

Table 2.

Parameters of microtubule dynamics for 4 μM yeast tubulin (mean ± SE).

DOI: http://dx.doi.org/10.7554/eLife.10542.009

[Kip2]
(nM)		 Growth rate
(μm/min)		 Catastrophe frequency
(min-1)
0 0.257 ± 0.004
(n = 300)		 0.234 ± 0.017
(n = 191)
5 0.302 ± 0.005
(n = 263)		 0.137 ± 0.012
(n = 141)
10 0.353 ± 0.008
(n = 146)		 0.103 ± 0.010
(n = 116)
20 0.572 ± 0.01
(n = 57)		 0.020 ± 0.006
(n = 13)
40 0.589 ± 0.012
(n = 48)		 0.009 ± 0.004
(n = 5)
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To gain insight into the mechanism of Kip2’s polymerase and anti-catastrophe activities, we determined how Kip2 affects microtubule assembly and disassembly kinetics. By measuring the rate of growth of porcine microtubules from guanylyl (α,β)methylene-diphosphonate (GMPCPP) seeds over a range of tubulin concentrations (Figure 1—figure supplement 3A), we found that Kip2 doubled the effective tubulin association rate constant (kon, the rate that tubulin is stably incorporated into the microtubule lattice) to 1.5 μM-1.s-1 (at the plus end) from 0.7 μM-1.s-1 in the absence of Kip2. In addition to accelerating the net addition of subunits, Kip2 also facilitated microtubule nucleation on the seeds, with robust growth observed at tubulin concentrations as low as 4 μM, compared with 10 μM in the absence of Kip2 (Figure 1—figure supplement 3A). Thus, Kip2 acted like a nucleation factor in analogy to XMAP215 (Wieczorek et al., 2015). The increased growth rate in the presence of Kip2 is expected to have only a modest effect on catastrophe because doubling the rate of microtubule growth by doubling the tubulin concentration only decreases the catastrophe frequency about twofold (Gardner et al., 2011; Walker, et al., 1988). Our observation that the catastrophe frequency decreased 10-fold might be explained by our finding that 40 nM Kip2 decreased the rate of dissociation of GMPCPP-tubulin subunits from GMPCPP microtubules (koff) approximately threefold (Figure 1—figure supplement 3B). If GMPCPP-tubulin acts as an analog for guanosine-5'-triphosphate (GTP)-tubulin (Hyman et al., 1992), then a decrease in koff is expected to stabilize the GTP cap and therefore inhibit catastrophe (Bowne-Anderson et al., 2013; Coombes et al., 2103; Margolin et al., 2011). Thus, the increase in kon and the decrease in koff likely account for most of the decrease in the catastrophe frequency.

To determine how Kip2 targets the plus ends of microtubules, we characterized its biophysical properties in single-molecule motility assays (Figure 2A). Kymographs revealed that in 1 mM ATP, single Kip2-eGFP molecules associated with GMPCPP-stabilized porcine microtubules along the lattice and walked processively toward the plus end of the microtubule (Figure 2B, Figure 2—figure supplement 1A). The velocity was 5.0 ± 0.9 μm/min at 28°C (mean ± standard deviation [SD], n = 674 traces). The average run distance before dissociating was 4.1 ± 0.3 μm (mean ± SE, n = 217, Figure 2—figure supplement 1B). A similar velocity was observed by Roberts et al. (2014), though the run distance was shorter (1.2 μm). At the plus end, Kip2-GFP resided for 30 ± 26 s before dissociating (mean ± SD, n = 40, Figure 2D, Figure 2—figure supplement 1C), leading to an accumulation of up to 12 Kip2-eGFP molecules at the plus-end, based on the fluorescence intensity (Figure 2B). When the ATP was replaced by the non-hydrolyzable analog AMP-PNP, Kip2-eGFP tightly bound to the lattice and did not translocate (Figure 2C). Kip2-eGFP moved slower on dynamic microtubules (2.1 ± 0.89 μm/min), but this velocity is still greater than the microtubule’s growth speed, so Kip2-eGFP was able to catch up to the growing ends of dynamic microtubules and track them (Figure 2E). Based on these properties, we conclude that Kip2’s mechanism differs from that of the well-studied microtubule polymerase XMAP215. XMAP215 targets ends by diffusion and capture (Brouhard et al. 2008; Widlund et al. 2011), increases both kon and koff (Brouhard et al., 2008) and has little effect on catastrophe (Zanic, et al., 2013). Furthermore, Kip2’s ATPase activity is necessary for its activity, while XMAP215 is not an ATPase. Thus, Kip2 is a unique regulator of microtubule dynamics. Two models for growth promotion can be envisaged. Kip2 may increase growth rates by shuttling tubulin to the microtubule plus end, locally increasing the tubulin concentration. Alternatively, it could promote microtubule growth by acting as a processive polymerase while at the plus end, similar to XMAP215 (Brouhard et al., 2008). More work will be required to distinguish between these and other mechanisms.

Figure 2. Kip2 is a highly processive motor that dwells at plus ends.

(A) Schematic of the experimental design. (B) Kymograph showing processive motility and plus end accumulation of individual Kip2-eGFP molecules on GMPCPP-stabilized microtubules in 1 mM ATP. The concentration of Kip2-eGFP was 0.085 nM. (C) Kymograph showing tightly bound Kip2-eGFP molecules in AMP-PNP. (D) Kymograph showing end residence of individual Kip2-eGFP molecules in ATP. (E) Kymograph showing end residence of 1 nM Kip2-eGFP spiked into 20 nM unlabeled Kip2 in the presence of 8 μM unlabeled tubulin in ATP. Arrow heads indicate microtubule plus end tracking events. ATP, adenosine triphosphate; AMP-PNP, adenylyl imidodiphosphate; eGFP, enhanced green fluorescent protein; GMPCPP, guanylyl (a,ß)methylene-diphosphonate.

DOI: http://dx.doi.org/10.7554/eLife.10542.010

Figure 2.

Figure 2—figure supplement 1. Kip2-eGFP velocity, run length and end residence time distributions.

Figure 2—figure supplement 1.

(A) Histogram showing velocities of single Kip2-eGFP molecules on GMPCPP-stabilized porcine microtubules in 1 mM ATP. (B) Histogram showing the distribution of Kip2-eGFP run lengths on GMPCPP-stabilized porcine microtubules in 1 mM ATP. The run length of Kip2 is predicted to be exponentially distributed, as dissociation from the microtubule lattice is expected to be a random process. The red line depicts a single exponential: f(x) = A exp(-x/x0), where A = 21.1 ± 2.1 and x0 = 3.6 ± 1.0 μm; run lengths between 0 and 0.5 μm are under-represented, likely due to the limited temporal resolution. (C) Histogram showing end residence times of Kip2-eGFP on GMPCPP-stabilized porcine microtubules. End residence times were included in the analysis only if single Kip2-eGFP molecules could be observed to arrive at, and dissociate from, a microtubule plus end. The red line depicts a single exponential: f(t) = A exp(-t/t0), where A = 18.2 ± 2.4 and t0 = 44.1 ± 14.5 s. ATP, adenosine triphosphate; eGFP, enhanced green fluorescent protein; GMPCPP, guanylyl (a,ß)methylene-diphosphonate.
DOI: http://dx.doi.org/10.7554/eLife.10542.011
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To probe the mechanical properties of Kip2, we measured the stall force of single molecules using optical tweezers (Jannasch et al., 2013). Positional tracking of single Kip2-powered microspheres moving along GMPCPP-stabilized porcine microtubules as a function of time under constant load revealed a zero-force speed of 4.0 ± 0.5 μm/min at 24.5°C, similar to that measured in the total internal reflection fluorescence (TIRF) assays. Kip2 stalled at a force of 0.81 ± 0.04 pN (Figure 3A) and showed a nearly linear force-velocity relation with increased velocity as the assisting force was increased (Figure 3C). At high forces, the motor often slipped along the microtubule in the direction of the applied force without detaching (Figure 3B). The ability to switch from the slip state to the normal translocation mode is thought to increase processivity by linking together several shorter run lengths (Jannasch et al., 2013). Thus, Kip2 is a processive, low-force motor with long run lengths and end residence times. The low force supports the idea that individual Kip2 motors transport small cargos such as dynein, Bik1, and other molecules (Roberts et al., 2014) rather than organelles, although it is possible that multiple Kip2s could cooperate to move larger cargos. The strong localization to the microtubule plus end accords with Kip2 being a regulator of microtubule dynamics.

Figure 3. Kip2 is a low-force motor.

Figure 3.

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(A) Stall force measurement tace. Sampling rate: 10 kHz, raw data (gray), boxcar filtered to 50 Hz (black). A force of 0.5 N corresponds to a displacement of about 17 nm. (B) Time trace for a slip event under 3 pN assisting force. Sampling rate: 20 kHz, raw data (light cyan), boxcar filtered to 400 Hz (dark cyan). (C) Kip2 force-velocity curve: positive is a hindering (load) force and negative is an assisting force. Open symbols include slip events. Error bars are standard errors of the mean.

DOI: http://dx.doi.org/10.7554/eLife.10542.012

The low force and high processivity of Kip2 are reminiscent of the microtubule depolymerase Kip3, in the kinesin-8 family (Jannasch et al., 2013; Varga et al., 2006). Kip3 is a length-dependent depolymerase that uses an antenna mechanism to preferentially localize to the plus ends of longer microtubules (Varga et al., 2009). We therefore tested whether the promotion of microtubule growth by Kip2 is length-dependent (Figure 4A,B). Without Kip2, microtubules grew at a length-independent, constant rate (black circles, p=0.06, Student’s t-test on a linear fit to the raw data). By contrast, at low (1–2 nM) and intermediate (5–10 nM) Kip2 concentrations, long microtubules grew faster than short microtubules (p<0.0001). At high Kip2 concentrations (20–40 nM), microtubules again grew at a constant, length-independent rate (green circles, p=0.36); however, at these high Kip2 concentrations, we expect all the length dependence to be in the first few microns, which is not well resolved in these experiments (see green fitted line). An analysis of yeast microtubule growth rates as a function of microtubule length yielded similar results (Figure 4—figure supplement 1A). Thus, Kip2 is a length-dependent microtubule polymerase.

Figure 4. Kip2 promotes porcine microtubule growth in a length-dependent manner.

(A) Kymograph showing acceleration of microtubule growth with increasing length at 40 nM Kip2. (B) Porcine microtubule growth rate as a function of length without Kip2 (black) and binned for 1–2 nM Kip2 (purple), 5–10 nM Kip2 (blue) and 20–40 nM Kip2 (green). Lengths are binned for 0–2 μm, 2–3 μm, 3–4 μm, 4–6 μm, 6–8 μm, 8–12 μm, 12–16 μm and 16–24 μm. The data were fit with the equation, where v0 = 0.294 ± 0.009 μm/min is the initial growth rate; vmax = 1.03 ± 0.03 μm/min is the maximum growth rate; L is microtubule length and A = 39.8 ± 5.4 μm·nM. (C) Mean catastrophe length at various Kip2 concentrations for short (light gray) and long (dark gray) microtubules. In the short microtubule bins, we summed the total distance that microtubules grew while shorter than 4 μm and divided by the number of catastrophes that occurred at lengths < 4 μm. In the long microtubule bin, we summed the total distance that microtubules grew while longer than 4 μm and divided by the number of catastrophes that occurred at lengths > 4 μm (Figure 4C, inset). The number of catastrophes was 120 (0 nM Kip2), 102 (1 nM Kip2), 111 (2 nM Kip2) and 23 (5 nM Kip2). The number of catastrophes at higher Kip2 concentrations was too small to make statistically significant comparisons. Error bars are standard errors of the mean.

DOI: http://dx.doi.org/10.7554/eLife.10542.013

Figure 4.

Figure 4—figure supplement 1. Length dependence of growth and catastrophe for yeast tubulin.

Figure 4—figure supplement 1.

(A) Yeast microtubule growth rate as a function of length, without Kip2 (black) and binned for 5–10 nM Kip2 (blue) and 20–40 nM Kip2 (green). Lengths are binned for 0–2 μm, 2–3 μm, 3–4 μm, 4–6 μm, 6–8 μm, 8–12 μm, 12–16 μm and 16–24 μm. The data were fit with the equation, where v0 = 0.238 ± 0.005 μm/min is the initial growth rate; vmax = 0.78 ± 0.02 μm/min is the maximum growth rate; L is microtubule length and A = 79.4 ± 8.7 μm·nM. (B) Mean length at catastrophe for yeast microtubules at 0 nM Kip2 (n = 170 catastrophes), 5 nM Kip2 (n = 101) and 10 nM Kip2 (n = 80). Bars depict dynamic microtubule lengths below 4 μm (light gray) or above 4 μm (dark gray). Error bars are SE. SE, standard error of the mean.
DOI: http://dx.doi.org/10.7554/eLife.10542.014
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To test whether Kip2 also prevents catastrophe in a length-dependent manner, we measured porcine microtubule lengths at the moment of catastrophe. To compare the catastrophe frequency at short versus long microtubule lengths, we set a cut-off length at 4 μm, which equals the run length of Kip2. Using data from the dynamic microtubule assays (Figure 1), we measured the catastrophe length for short microtubules as the total distance that microtubules grew while their length (including seed) was shorter than 4 μm divided by the number of catastrophes that occurred at lengths < 4 μm. For long microtubules, we summed the distance that microtubules grew while longer than 4 μm (final length minus 4 μm) and divided by the number of catastrophes that occurred at lengths > 4 μm (Figure 4C, inset). In the absence of Kip2, the catastrophe length of longer microtubules was less than that of shorter microtubules (Figure 4C, 0 nM Kip2, p<0.05, Welch’s unpaired t-test). This reflects an increase in catastrophe frequency with length, as expected due to microtubule aging (Gardner et al., 2011). By contrast, at 5 nM Kip2, the catastrophe length of longer microtubules was greater than that of shorter microtubules (Figure 4C, p<0.0001). This indicates that the inhibition of catastrophe is length-dependent. Similar results were obtained for yeast microtubules at 10 nM Kip2 (Figure 4—figure supplement 1B, p<0.0001). Hence, in the absence of Kip2, the catastrophe frequency increased with increasing microtubule length, whereas in the presence of Kip2, the catastrophe frequency decreased with increasing microtubule length. Thus, both the increase in microtubule growth rate and the prevention of catastrophe by Kip2 increase with increasing microtubule length.

Summarizing our results, we have found that budding yeast kinesin Kip2 promotes microtubule growth in vitro in a length-dependent manner. Because the rate at which Kip2 translocates exceeds the speed of microtubule growth, Kip2 catches up with the growing end of the microtubule (Figure 2E) where it promotes growth and inhibits catastrophe. As a consequence, this length dependence leads to positive feedback: the longer the microtubule, the greater the number of motors that land on it (the microtubule acts as an antenna), the higher the number of motors that can reach the plus end, and the higher the growth rate and lower the catastrophe frequency. This, in turn, leads to longer microtubules, which attract more Kip2 and so on. Hence, we expect that once a microtubule is long enough, it will effectively “escape” catastrophe and keep growing almost indefinitely, switching from a catastrophe length of only a few microns in the absence of Kip2 to a length ≥ 40 μm at high Kip2 concentrations (Figure 4C, Table 1). In this sense, Kip2 “paves its own way”. Thus, by combining processivity with polymerase activity, Kip2 can perform an elementary ‘computation’ that switches short microtubules to long ones. This computation differs from that performed by kinesin-8, a length-dependent depolymerase, which stabilizes microtubule length through negative feedback (Gupta et al., 2006; Mayr et al., 2007; Stumpff et al., 2008; Su, et al., 2013;Widlund, et al., 2011 Varga et al., 2006; 2009).

We propose that this positive feedback mechanism may operate in vivo and account for the phenotype of Kip2 deletion, which is a reduction in the length and the number of cytoplasmic microtubules. First, in vivo the rate at which Kip2 translocates exceeds the rate of microtubule growth; the respective rates are 6.6 (Carvalho et al., 2004) and 2.3 μm/min (Caudron et al., 2008). Second, the run length of Kip2 (≈4 μm) exceeds the length of cytoplasmic microtubules (≈2 μm [Caudron et al., 2008]). Taken together, these two observations imply that almost every Kip2 that lands on a microtubule will reach the growing plus end. By promoting growth and inhibiting catastrophe, Kip2 can deliver cytoplasmic dynein (Roberts et al., 2014) to the distal cortex of the growing daughter bud before the microtubules catastrophe.

While the polymerase and anti-catastrophe activities can account for the deletion phenotype of Kip2, it is not obvious why microtubule hyperelongation when Kip2 is overexpressed should require Bik1 (Carvalho et al., 2004). We propose that Bik1 may be required to increase Kip2’s processivity in vivo. Feedback can only operate if the run length exceeds the microtubule length. In our in vitro assays, the Kip2 run length was ≈4 μm, whereas that measured by Roberts et al. (2014) was only ≈1 μm. We do not know why there was a difference, as the assay buffers were similar. Importantly, though, Roberts et al. (2014) found that Bik1 could increase Kip2’s run length 3–4 fold (in the presence of Bim1). Therefore, if the run length of Kip2 in vivo is short, then the requirement for Bik1 in the overexpression assays may be due to Bik1 acting as a processivity factor that increases the run length, thereby allowing more Kip2 to reach the end where it enhances microtubule growth.

Materials and methods

Protein purification and preparation

Porcine brain tubulin was purified and labeled with tetramethylrhodamine or Alexa Fluor 488 (Invitrogen, Carlsbad, CA) according to the standard protocols, as previously described (Gell et al., 2011). Preparation of GMPCPP-stabilized microtubule seeds was performed as previously described (Gell et al., 2010). Full length 6xHis-Kip2 and 6xHis-Kip2-eGFP were expressed in SF+ cells using baculovirus expression and purified using affinity chromatography over 1 ml His-affinity columns (GE Healthcare, Chalfont St. Giles, UK). Cells were lysed in 50 mM NaH2PO4, 300 mM NaCl, 0.1% Tween-20, 10 mM imidazole, protease inhibitors, 2 mM Mg-ATP, at pH = 8.0. The wash buffer consisted of 50 mM NaH2PO4, 300 mM NaCl, 100 mM imidazole, 2 mM Mg-ATP, at pH = 8.0. The elution buffer consisted of 50 mM NaH2PO4, 300 mM NaCl, 300 mM imidazole, 2 mM Mg-ATP, at pH = 8.0. Affinity column purification success was checked by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS–PAGE) and Western blot using anti-6xHis antibody (Genscript, Piscataway, NJ). Next, the 6xHis-tags were cleaved from the protein using PreScission protease (GE Healthcare). The protease was added to the 300 mM imidazole elution fraction in a 1:50 dilution and incubated overnight on a rotary wheel at 4°C. Protein stability was confirmed by SDS–PAGE and enzymatic cleavage of the 6xHis-tag from the protein of interest by Western blot using anti-6xHis-antibody. Finally, Kip2 and Kip2-eGFP were purified to homogeneity by gel filtration over a Sephadex 200 column that was pre-washed with protein storage buffer: 1x BRB80 (80 mM PIPES, 1 mM MgCl2, 1 mM EGTA, pH 6.8) supplemented with 10% glycerol, 1 mM Mg-ATP, 1 mM dithiothreitol (Figure 1—figure supplement 4). Final protein purity was checked by mass spectroscopy at the MPI-CBG in house mass spectroscopy facility. Protein concentration was determined by Bradford assay and purified proteins were snap-frozen using liquid nitrogen and stored at –80°C.

Microscopy assays and imaging conditions

The dynamic microtubule assay for dynamic growth of Alexa Fluor 488-labeled tubulin from tetramethylrhodamine-labeled GMPCPP-stabilized porcine tubulin seeds were imaged by TIRF microscopy as described previously (Gell et al., 2010). The imaging buffer contained 1x BRB20 (20 mM PIPES, 1 mM MgCl2, 1 mM EGTA, pH 6.8) supplemented with 100 mM KCl, 20 mM glucose, 20 μg/ml glucose oxidase, 8 μg/ml catalase, 0.1 mg/ml casein, 1 mM dithiothreitol, 0.001% tween-20, 1 mM GTP and 1 mM Mg-ATP or AMP-PNP. The single-molecule motility assay on tetramethylrhodamine-labeled GMPCPP-stabilized tubulin seeds imaged by TIRF microscopy was described previously (Gell et al., 2010). For all experiments, the imaging buffer contained no added GTP. Imaging was performed with an Andor iXon camera on a Zeiss (Oberkochen, Germany) Axiovert 200M microscope with a Zeiss ×100/1.46 plan apochromat oil objective and standard filter sets. An objective heater (Zeiss) was used to warm the sample to 28°C.

The rate of photobleaching in our TIRF assays was low. In the AMP-PNP experiments (e.g. Figure 2C), the mean time to bleaching of Kip2-eGFP was 249 ± 68 s (mean ± SD, n = 10). Given that the average run length of 4.1 μm corresponds to a run time of 82 s (at 50 nm/s), we expect bleaching to have only a small effect on the measured run times. Similarly, bleaching will have little effect on the end residence times. The low rate of photobleaching accords with our earlier quantification of photobleaching (Varga et al., 2009).

DIC microscopy was described previously (Bormuth et al., 2007). All experiments were performed at least three times on three different days. Image analysis was performed by creating kymographs of microtubule growth events in image J. For growth and shrinkage rates, typically > 20 microtubules were measured, and the mean and standard error of the mean (SE) are reported in the text and figures. For the catastrophe frequency, we divided the total number of events by the total observation time. For the rescue distance, we divided the total observed distance that microtubules shrank by the total number of rescue events. The relative error (SE) was estimated as the inverse of the square root of the number of events. This assumes that the catastrophe and rescue events are single-step (Poisson) processes. However, if the events are multistep (e.g. from a gamma distribution), as is known to be the case for catastrophe (Gardner et al., 2011), then the actual SE is smaller than the calculated one.

Optical tweezers assay preparation

Flow-cell construction and immobilization of GMPCPP-stabilized porcine microtubules were performed as previously described (Jannasch et al., 2013). The imaging buffer for optical tweezer experiments contained 1xBRB20 supplemented with 100 mM KCl, 20 mM glucose, 20 μg/ml glucose oxidase, 8 μg/ml catalase, 0.1 mg/mlcasein, 0.5% b-mercaptoethanol, 1 mM Mg-ATP. The channels were rinsed with 20 μl imaging buffer with Kip2-functionalized microspheres. For the Kip2-functionalized microspheres, carboxylated polystyrene microspheres (mean diameter 0.59 µm, Bangs Lab, Fishers, IN) were bound covalently to anti-GFP antibody via a 3 kDa polyethylene glycol (PEG) linker, which, in turn, bound to the C-terminal eGFP of Kip2-eGFP-6xHis, as previously described (Jannasch et al., 2013). The measurements were performed at 24.5°C and under single-molecule concentrations where only one out of four microspheres showed motility.

Optical tweezers trapping experiments

Measurements were performed in a single-beam optical tweezers setup as previously described (Schäffer et al., 2007; Bormuth et al., 2009; Jannasch et al., 2013). All measurements were done with a trap stiffness of 0.03 pN/nm. The optical trap was calibrated by analysis of the height-dependent power spectrum density as described previously (Tolić-Nørrelykke et al., 2006). The force-velocity curve was measured using the constant-force mode. In this mode, the trapping laser was moved with a piezo mirror relative to the sample with an update rate of 200 Hz. Overall, we measured and analyzed the motion of 11 different single Kip2-eGFP-6xHis molecules. Data analysis was previously described (Jannasch et al., 2013).

Acknowledgements

We thank T Hyman, S Diez and S Alberti for guidance; M Podolski for the kind gift of yeast tubulin; J Alper for critical reading of earlier versions of the manuscript; H Petzold for technical help with protein expression and assays; and members of the Howard and Diez laboratories for discussions, reading, and feedback. We would like to thank the following services and facilities of the MPI-CBG for their support: protein expression, chromatography and mass spectrometry. There are no potential conflicts of interest. Research reported in this publication was supported by the Max Planck Society, an European Research Council Starting Grant 2010 (Nanomech 260875) to AJ and ES, and by the National Institute of General Medicine Sciences of the National Institutes of Health under award number R01GM110386 to JH. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Funding Information

This paper was supported by the following grants:

  • European Research Council NanoMech260875 to Erik Schäffer, Anita Jannasch.

  • Max-Planck-Gesellschaft to Anita Jannasch, Erik Schäffer.

  • National Institutes of Health R01GM110386 to Jonathon Howard.

Additional information

Competing interests

The authors declare that no competing interests exist.

Author contributions

AH, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article, Contributed unpublished essential data or reagents.

AB, Acquisition of data, Drafting or revising the article, Contributed unpublished essential data or reagents.

MM, Acquisition of data, Drafting or revising the article.

AJ, Conception and design, Acquisition of data, Analysis and interpretation of data.

MS, Conception and design, Acquisition of data, Drafting or revising the article.

ES, Conception and design, Analysis and interpretation of data, Drafting or revising the article.

DL, Conception and design, Analysis and interpretation of data, Drafting or revising the article.

JH, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article.

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eLife. 2015 Nov 18;4:e10542. doi: 10.7554/eLife.10542.015

Decision letter

Editor: Andrea Musacchio1

eLife posts the editorial decision letter and author response on a selection of the published articles (subject to the approval of the authors). An edited version of the letter sent to the authors after peer review is shown, indicating the substantive concerns or comments; minor concerns are not usually shown. Reviewers have the opportunity to discuss the decision before the letter is sent (see review process). Similarly, the author response typically shows only responses to the major concerns raised by the reviewers.

Thank you for submitting your work entitled "Processive motility by the polymerizing kinesin Kip2 enhances microtubule growth through positive feedback" for peer review at eLife. Your submission has been favorably evaluated by Randy Schekman (Senior editor), a Reviewing editor, and two reviewers.

The reviewers have discussed the reviews with one another and the Reviewing editor has drafted this decision to help you prepare a revised submission.

Summary:

There is a general agreement among the reviewers that this is an informative manuscript that proposes an interesting working model for Kip2. The manuscript is therefore potentially suitable for eLife. However, the reviewers identified two crucial points that must be addressed in a revised manuscript.

Essential revisions:

1) The physiological significance of the activity described here for Kip2 is currently unclear, because the previous work of Carvalho et al. (2004) that over-expression of Kip2 promotes microtubule overgrowth in yeast cell, cited by the authors, was shown to be entirely dependent on the cargo of Kip2-the microtubule plus end-tracking protein Bik1 (see Figure 6 of Carvalho et al.). In a bik deletion mutant (but not in a deletion of the major plus-end tracker Bim1/EB1), the overexpression of Kip2 failed to promote microtubule overgrowth. This point needs to be mentioned in the Conclusion section of the manuscript. In addition, the title and Abstract overstate the data given this prior result – there is no current evidence for positive feedback operating in a cellular context and, while this idea could be included as a final Discussion paragraph, the title and Abstract should summarize the actual data in the manuscript – which is in vitro length-dependent promotion of growth and suppression of catastrophe by a processive kinesin. Of course, if this point could be addressed experimentally by including Bik1 in the assay, it would greatly improve the significance of the study. However, we realise that this may be difficult, and the reviewers would be happy with text edits that appropriately address this point.

2) A quite crucial point, that could be addressed experimentally, is whether there is any difference in force-dependence of Kip2/MT interactions at the tips of MTs relative to the lattice. If accumulation at the tip is an important property of Kip2's function, perhaps its ability to withstand loads at the tip is higher than that along the lattice. If the authors elected to carry out this experiment, their model would be supported more strongly.

Minor points:

1) A gel showing the purified Kip2 protein used in the experiments should be included in the primary figure or supplement. I could not find details on the yeast tubulin used – how was this prepared? N.B. the yeast tubulin experiments are a terrific addition to the manuscript.

2) While it is clear from the kymograph in Figure 2B that Kip2 is a processive motor protein, the authors should present the distribution of run lengths and velocities in a supplementary figure.

3) Figure 1: Previous normal reported growth rate of MTs at 12 μm (at 25 degrees) is 15 nm/s, or 0.9 um/min (Gardner, Zanic, Cell 2011). Why is the growth rate at 0 nM Kip2 half the prior value? Is it a temperature difference between the different experiments or difference in the tubulin preparations?

4) Please include the residence time distribution of single Kip2 motors as a supplementary figure. How are the single-molecule plus ends residence times determined if there are multiple Kip2s present? Are shorter MTs used to establish single-molecule conditions at the plus end for step bleaching? How is loss due to dissociation vs. loss due to bleaching discriminated? More technical detail on this should be included in the Methods.

5) Results and Discussion: "The low force argues against a role of Kip2 as an organelle transporter". The authors should tone down this statement. Organelles are often transported by multiple motors, the force measurements are performed on single Kip2 motors (stall force 0.8 pN, reported slip event 3 pN), which could very well be sufficient for organelle transport, especially if teams of motors are operating and if assumed that forces produced by groups of motors are (at least partially) additive. Also, as noted in the major comment above, the effect of Kip2 on microtubule growth appears to be dependent on its cargo Bik1 (not an organelle but still related to transport).

6) Figure 4C legend: The authors state: “Thus there was 5 μm of growth at short lengths”. Short lengths are defined < 4 μm. Please revise the text to increase clarity. This section is confusing to read when combined with the figure schematic. Both the schematic and text need revision.

7) The mechanical properties of Kip2 are likely defined using porcine tubulin. Please mention this in the text.

8) Figure 1—figure supplement 1: Res. frequency is reported in μm-1. Please correct.

9) Table 2: Please add units.

10) The prior work from the Howard group (Varga et al.) on length-dependent control focused on the processive motor Kip3 that induces subunits loss at ends. In a dynamic microtubule assay with kinesin-1 is there any effect on growth rate? Does Kip2 have higher affinity for tubulin dimers – one model would be that the unbound head at the end would help "deliver" a tubulin dimer and thereby accelerate growth (this would not explain the effect on catastrophe, however). Some discussion on what may make Kip2 special based on its catalytic domain/other features would be useful to include.

eLife. 2015 Nov 18;4:e10542. doi: 10.7554/eLife.10542.016

Author response

Essential revisions: 1) The physiological significance of the activity described here for Kip2 is currently unclear, because the previous work of Carvalho et al. (2004) that over-expression of Kip2 promotes microtubule overgrowth in yeast cell, cited by the authors, was shown to be entirely dependent on the cargo of Kip2-the microtubule plus end-tracking protein Bik1 (see Figure 6 of Carvalho et al.). In a bik deletion mutant (but not in a deletion of the major plus-end tracker Bim1/EB1), the overexpression of Kip2 failed to promote microtubule overgrowth. This point needs to be mentioned in the Conclusion section of the manuscript. In addition, the title and Abstract overstate the data given this prior result – there is no current evidence for positive feedback operating in a cellular context and, while this idea could be included as a final Discussion paragraph, the title and Abstract should summarize the actual data in the manuscript – which is in vitro length-dependent promotion of growth and suppression of catastrophe by a processive kinesin. Of course, if this point could be addressed experimentally by including Bik1 in the assay, it would greatly improve the significance of the study. However, we realise that this may be difficult, and the reviewers would be happy with text edits that appropriately address this point.

We have included “in vitro” in the title and Abstract and reworded the title and Abstract to be more results oriented. We have now made a clear distinction between what we have done (i.e. in vitro assays) and how this may apply in cells. We thank the reviewers for prodding us on Bik1. We have now included in the Discussion a potential explanation for the Bik1 phenotype, taking into account results from the Roberts et al. (2014) paper.

We have Bik1 data, which is consistent with our results. However, we have it only for porcine tubulin (not yet for yeast tubulin) and a thorough job requires combination with other proteins such as Bim1 and Kip3, which will greatly increase the scope.

2) A quite crucial point, that could be addressed experimentally, is whether there is any difference in force-dependence of Kip2/MT interactions at the tips of MTs relative to the lattice. If accumulation at the tip is an important property of Kip2's function, perhaps its ability to withstand loads at the tip is higher than that along the lattice. If the authors elected to carry out this experiment, their model would be supported more strongly.

The reviewers ask a very interesting question, especially in the context of microtubule dynamics after the growing end has made contact with the bud cortex and starts interacting with dynein. What is the signal to switch to shortening? The reason for including the (lattice) force experiments was to characterize the basic mechanical properties of this motor. Our finding of a low force (like Kip3) is consistent with the idea that Kip2 is a regulator of dynamics that carries small (molecular) cargos and argues against it being a transporter of large organelles (though the reviewers’ later point 5 about many motors is well taken and we have included a statement to this effect).

The requested experiment is exceedingly difficult, as we found out for the non-motor polymerase XMAP215 (see Trushko et al. 2013 PNAS 110, 14670–14675). A thorough job requires testing interactions with other proteins (Bik1, Bim1, cytoplasmic dynein), which again greatly increases the scope. While interesting in its own right, we do not think that the outcome of the requested experiment will significantly affect our principal finding, namely that that Kip2 is a length-dependent polymerase and anti-catastrophe factor.

Minor points:

1) A gel showing the purified Kip2 protein used in the experiments should be included in the primary figure or supplement. I could not find details on the yeast tubulin used – how was this prepared? N.B. the yeast tubulin experiments are a terrific addition to the manuscript.

We have added a gel of Kip2 and Kip2-GFP in Figure 1—figure supplement 4. We have included a reference to the yeast tubulin preparation; we apologize for the omission.

2) While it is clear from the kymograph in Figure 2B that Kip2 is a processive motor protein, the authors should present the distribution of run lengths and velocities in a supplementary figure.

We have added histograms of velocities, run lengths and end-residence times in Figure 2—figure supplement 1.

3) Figure 1 – previous normal reported growth rate of MTs at 12 μm (at 25 degrees) is 15 nm/s, or 0.9 um/min (Gardner, Zanic, Cell 2011). Why is the growth rate at 0 nM Kip2 half the prior value? Is it a temperature difference between the different experiments or difference in the tubulin preparations?

We believe that the difference is likely due to the difference in the salt concentrations between the present study and the earlier one. Here we used BRB20 + 100 mM KCl whereas in the Gardner paper BRB80 + 110 KCl was used (the higher salt was necessary to keep Kip3 happy). This is approximately a two-fold difference in ionic strength. There was no temperature difference between the two studies.

4) Please include the residence time distribution of single Kip2 motors as a supplementary figure. How are the single-molecule plus ends residence times determined if there are multiple Kip2s present? Are shorter MTs used to establish single-molecule conditions at the plus end for step bleaching? How is loss due to dissociation vs. loss due to bleaching discriminated? More technical detail on this should be included in the Methods.

A histogram of residence times on CPP MTs has been added as Figure 2—figure supplement 1. Residence times were measured at low Kip2-GFP concentrations such that the arrival and departure of individual molecules could be clearly resolved.

In the Methods, we have added a quantification of the Kip2-GFP bleaching rate (measured using AMP-PNP to bind motors to the lattice): it is small and has little effect on the residency time (or on the run length).

5) Results and Discussion: "The low force argues against a role of Kip2 as an organelle transporter". The authors should tone down this statement. Organelles are often transported by multiple motors, the force measurements are performed on single Kip2 motors (stall force 0.8 pN, reported slip event 3 pN), which could very well be sufficient for organelle transport, especially if teams of motors are operating and if assumed that forces produced by groups of motors are (at least partially) additive. Also, as noted in the major comment above, the effect of Kip2 on microtubule growth appears to be dependent on its cargo Bik1 (not an organelle but still related to transport).

This is a good point and we restated our argument more carefully, including the possibility that multiple motors could generate larger forces. We also elaborate on the point that Kip2 is a molecule transporter in vitro and in vivo.

6) Figure 4C legend: The authors state: “Thus there was 5 μm of growth at short lengths”. Short lengths are defined < 4 μm. Please revise the text to increase clarity. This section is confusing to read when combined with the figure schematic. Both the schematic and text need revision.

We have revised the text by introducing the term “Catastrophe length” (the average length of a microtubule when it undergoes catastrophe). We believe that the figure is also clearer.

7) The mechanical properties of Kip2 are likely defined using porcine tubulin. Please mention this in the text.

We now state in the text that the tweezers experiments used porcine tubulin.

8) Figure 1—figure supplement 1: Res. frequency is reported in μm-1. Please correct.

This is corrected.

9) Table 2: Please add units.

This is corrected.

10) The prior work from the Howard group (Varga et al.) on length-dependent control focused on the processive motor Kip3 that induces subunits loss at ends. In a dynamic microtubule assay with kinesin-1 is there any effect on growth rate? Does Kip2 have higher affinity for tubulin dimers – one model would be that the unbound head at the end would help "deliver" a tubulin dimer and thereby accelerate growth (this would not explain the effect on catastrophe, however). Some discussion on what may make Kip2 special based on its catalytic domain/other features would be useful to include.

It is not known whether kinesin-1 influences dynamic microtubules. Kip2 differs from Kip3 (Kinesin-8) and MCAK (Kinesin-8) (Gardner et al. 2011), which increase catastrophe frequency. Kip2 also differs from Kinesin-1, which has no effect on the rate of depolymerization of GMP-CPP microtubules (Varga et al. 2009).

We do not have definitive results about the relative affinities and the mechanism of growth acceleration and so will not add data on this point. However, we have added a brief discussion on potential molecular mechanisms.

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