ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Coupling of mitochondrial population evolution to microtubule dynamics in fission yeast cells: a kinetic Monte Carlo study

Choudhury, S and Ananthanarayanan, V and Ayappa, KG (2022) Coupling of mitochondrial population evolution to microtubule dynamics in fission yeast cells: a kinetic Monte Carlo study. In: Soft Matter, 18 . pp. 4483-4492.

[img] PDF
sof_mat_18_4483-4492_2022.pdf - Published Version
Restricted to Registered users only

Download (3MB) | Request a copy
Official URL: https://doi.org/10.1039/d2sm00155a


Mitochondrial populations in cells are maintained by cycles of fission and fusion events. Perturbation of this balance has been observed in several diseases such as cancer and neurodegeneration. In fission yeast cells, the association of mitochondria with microtubules inhibits mitochondrial fission Mehta et al., J. Biol. Chem., 2019, 294, 3385, illustrating the intricate coupling between mitochondria and the dynamic population of microtubules within the cell. In order to understand this coupling, we carried out kinetic Monte Carlo (KMC) simulations to predict the evolution of mitochondrial size distributions for different cases; wild-type cells, cells with short and long microtubules, and cells without microtubules. Comparisons are made with mitochondrial distributions reported in experiments with fission yeast cells. Using experimentally determined mitochondrial fission and fusion frequencies, simulations implemented without the coupling of microtubule dynamics predicted an increase in the mean number of mitochondria, equilibrating within 50 s. The mitochondrial length distribution in these models also showed a higher occurrence of shorter mitochondria, implying a greater tendency for fission, similar to the scenario observed in the absence of microtubules and cells with short microtubules. Interestingly, this resulted in overestimating the mean number of mitochondria and underestimating mitochondrial lengths in cells with wild-type and long microtubules. However, coupling mitochondria's fission and fusion events to the microtubule dynamics effectively captured the mitochondrial number and size distributions in wild-type and cells with long microtubules. Thus, the model provides greater physical insight into the temporal evolution of mitochondrial populations in different microtubule environments, allowing one to study both the short-time evolution as observed in the experiments (<5 minutes) as well as their transition towards a steady-state (>15 minutes). Our study illustrates the critical role of microtubules in mitochondrial dynamics and coupling microtubule growth and shrinkage dynamics is critical to predicting the evolution of mitochondrial populations within the cell.

Item Type: Journal Article
Publication: Soft Matter
Publisher: Royal Society of Chemistry
Additional Information: The copyright for this article belongs to the Royal Society of Chemistry.
Keywords: Cytology; Dynamics; Monte Carlo methods; Neurodegenerative diseases; Population statistics; Size distribution; Yeast, Cell/B.E; Fission yeast; Kinetic Monte Carlo; Microtubule dynamics; Microtubules; Mitochondrias; Population evolution; Size-distribution; Wild types; Yeast cell, Mitochondria
Department/Centre: Division of Interdisciplinary Sciences > Centre for Biosystems Science and Engineering
Division of Mechanical Sciences > Chemical Engineering
Date Deposited: 28 Jun 2022 09:44
Last Modified: 28 Jun 2022 09:44
URI: https://eprints.iisc.ac.in/id/eprint/73984

Actions (login required)

View Item View Item