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Updated: Sep 20, 2025

Examination of Mitotic and Meiotic Fission Yeast Nuclear Dynamics by Fluorescence Live-cell Microscopy
Published on: June 24, 2019
Coupling of mitochondrial population evolution to microtubule dynamics in fission yeast cells: a kinetic Monte Carlo
Samlesh Choudhury1, Vaishnavi Ananthanarayanan2, K Ganapathy Ayappa1
1Department of Chemical Engineering, Indian Institute of Science, Bangalore, Karnataka, India. ayappa@iisc.ac.in.
Abstract:
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.
Insights
Mitochondrial dynamics are influenced by microtubules. Simulations show that coupling mitochondrial fission and fusion with microtubule dynamics accurately predicts mitochondrial size and number, crucial for understanding cell health and disease.
Area of Science:
- Cell Biology
- Biophysics
Background:
- Mitochondrial dynamics, involving fission and fusion, are essential for cellular health.
- Imbalances in mitochondrial dynamics are linked to diseases like cancer and neurodegeneration.
- Microtubules play a role in regulating mitochondrial fission, as observed in fission yeast.
Purpose of the Study:
- To investigate the coupling between mitochondrial dynamics and microtubule behavior.
- To predict the evolution of mitochondrial size and number distributions under varying microtubule conditions.
- To provide physical insights into mitochondrial population dynamics in different cellular environments.
Main Methods:
- Kinetic Monte Carlo (KMC) simulations were employed.
- Simulations modeled fission yeast cells with wild-type, short, long, and absent microtubules.
- Experimentally determined fission and fusion frequencies were incorporated.
Main Results:
- Simulations without microtubule coupling overestimated mitochondrial number and underestimated length.
- Coupling mitochondrial dynamics to microtubule dynamics accurately predicted mitochondrial distributions in wild-type and long microtubule conditions.
- Microtubule presence significantly impacts mitochondrial size and number evolution.
Conclusions:
- Microtubule dynamics critically influence mitochondrial population evolution.
- Accurate modeling requires integrating microtubule growth and shrinkage dynamics with mitochondrial fission/fusion.
- This approach offers insights into both short-term and steady-state mitochondrial populations.
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