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Contents - Max-Planck-Institut für Physik komplexer Systeme

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lost<br />

KC<br />

MT<br />

05:19 05:23 05:35 05:41<br />

SPB<br />

1µm<br />

Figure 2: Astral microtubules pivot around the spindle pole body.<br />

Time-lapse images of a cell in mitosis, in which kinetochores were labeled<br />

in red (Ndc80-tdTomato) and microtubules in green (α-tubulin-<br />

GFP). The cell was kept at 4 ◦ C to depolymerize microtubules. Subsequently,<br />

the temperature was increased to 25 ◦ C, in order to allow for<br />

microtubule re-polymerization. The time after the temperature increase<br />

is shown in minutes and seconds. The schemes below the images<br />

show the position of the kinetochore (red), microtubules (green),<br />

and spindle pole bodies (grey). Kinetochore capture occurs at the<br />

last frame. Note that the microtubule that captured the kinetochore<br />

changed its angle with respect to the spindle.<br />

To reveal the mechanism of KC capture, we first quantified<br />

the pivoting of astral MTs as a time series of the<br />

angle between the astral MT and the horizontal axis of<br />

the image. To distinguish whether this movement is directed<br />

or random, we calculated the mean squared angular<br />

displacement, and found that it scales with time<br />

to the power of ∼0.8. The exponent smaller than one<br />

suggests that the angular movement is random, and in<br />

particular subdiffusive. In addition to the movement of<br />

astral MTs, we observed movement of lost KCs, which<br />

was also subdiffusive [3]. Taken together, our results<br />

indicate that the movement of the lost KC, as well as of<br />

the astral MTs, plays an important role for KC capture.<br />

In order to test whether the process of KC capture<br />

could be driven by the observed random movement of<br />

astral MTs and the KC, we introduce a simple threedimensional<br />

model consisting of an SPB, a MT, and a<br />

KC. We use a spherical coordinate system, by placing<br />

the origin at the SPB, which is assumed to be stationary.<br />

The orientation of the coordinate system is fixed<br />

with respect to the cell. One end of the MT is at the origin,<br />

while the orientation of the MT is described by the<br />

inclination angle θ and the azimuth angle ϕ. The KC<br />

is placed at an arbitrary position (θk, ϕk), and its size<br />

is described by the parameter δ. Therefore, KC capture<br />

occurs when the MT and the KC overlap in the angular<br />

space, i.e., |θ − θk| < δ/2 and |ϕ − ϕk| < δ/(2sinθk).<br />

This description implies that the distance between the<br />

KC and the SPB is smaller than the length of the MT,<br />

as well as that the KC can bind along the length of the<br />

MT. The angular diffusion of the MT is described by the<br />

following stochastic differential equations<br />

dθ<br />

= Dcosθ<br />

dt sinθ + √ 2Dξθ<br />

dϕ<br />

dt =<br />

√<br />

2D<br />

sinθ ξϕ<br />

(1)<br />

(2)<br />

Here, D is the angular diffusion coefficient of the MT of<br />

a length L, and ξθ, ξϕ is a Gaussian white noise obeying<br />

〈ξi(t)ξj(t ′ )〉 = δijδ(t − t ′ ), i,j = θ,ϕ. In the model, we<br />

use the reflecting boundary conditions 0 ≤ θ ≤ π and<br />

0 ≤ ϕ ≤ π. We keep the KC fixed, while its diffusion is<br />

described by including it in the diffusion coefficient D<br />

of the MT.<br />

We numerically solved Eqs. (1) and (2) for a set of random<br />

initial positions of the MT and calculated the time<br />

it takes a MT to reach the KC for the first time. The<br />

number of lost KCs decreases exponentially with time,<br />

and for a typical values of free parameters δ = 0.2 rad<br />

and D = 0.005 rad 2 /s, half of the lost KCs are captured<br />

in 5 minutes (Fig. 3). The agreement between the capture<br />

time obtained by the model and by the experiment<br />

shows that the kinetics of KC capture can be explained<br />

by random movement of astral MTs and of the KC.<br />

We found that thermal fluctuations drive angular<br />

movement of MTs, as well as the movement of the KC.<br />

We propose this movement of MTs as a search strategy<br />

by which MTs explore space in order to find a KC. This<br />

mechanism allows for KC capture with only a few astral<br />

MTs.<br />

% of cells with lost KC<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

0 1 2 3 4 5 6 7 8 9 10 11<br />

Time (min)<br />

Figure 3: Results from the model: The kinetics of kinetochore capture<br />

can be explained by random movement of astral microtubules and of<br />

the kinetochore. The fraction of cells with lost kinetochores is shown<br />

as a function of time elapsed since the temperature was increased<br />

from 4 ◦ C to 25 ◦ C. Circles represent the experimental data and the<br />

line shows the result from the model.<br />

[1] T. Mitchison, and M. Kirschner, “Dynamic instability of microtubule<br />

growth,” Nature, vol. 312, pp. 237–242, 1984.<br />

[2] Y. Gachet, C. Reyes, T. Courtheoux, S. Goldstone, G. Gay, C. Serrurier,<br />

and S. Tournier, “Sister kinetochore recapture in fission<br />

yeast occurs by two distinct mechanisms, both requiring Dam1<br />

and Klp2,” Mol Biol Cell, vol. 19, pp. 1646–1662, 2008.<br />

[3] I.M. Tolić-Nørrelykke, E. L. Munteanu, G. Thon, L. Oddershede,<br />

and K. Berg-Sorensen, “Anomalous diffusion in living yeast<br />

cells,” Phys Rev Lett , vol. 93, pp. 078102, 2004.<br />

2.28. Kinetochores are Captured by Microtubules Performing Random Angular Movement 97

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