Contents - Max-Planck-Institut für Physik komplexer Systeme
Contents - Max-Planck-Institut für Physik komplexer Systeme
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