AUTHOR=Kornick Kellianne , Bogner Brandon , Sutter Leo , Das Moumita 

TITLE=Population Dynamics of Mitochondria in Cells: A Minimal Mathematical Model

JOURNAL=Frontiers in Physics

VOLUME=Volume 7 - 2019

YEAR=2019

URL=https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2019.00146

DOI=10.3389/fphy.2019.00146

ISSN=2296-424X

ABSTRACT=Mitochondria are cellular organelles that play an important role in cellular energy production, signaling, differentiation, and apoptosis. All organisms are believed to have low levels of variation in mitochondrial DNA (mtDNA), and repeated mitotic segregation and clonal expansion can enable a mitochondrion to eventually dominate the mtDNA pool. Alterations in mtDNA are connected to a range of human diseases. Therefore, understanding how changes in mtDNA accumulate over time and are correlated to changes in mitochondrial function can have a profound impact on our understanding of fundamental cell biophysics and the origins of some human diseases. Motivated by this, we develop and study a mathematical model to determine which cellular parameters have the largest impact on mtDNA population dynamics. The model consists of coupled differential equations to describe populations of healthy and dysfunctional mitochondria subject to mitochondrial fission, fusion, autophagy, and varying levels of cellular ATP. We study the time evolution of each population under specific selection biases and obtain a heat map in the parameter space of the ratio of the rates of fusion and autophagy of the healthy and dysfunctional populations. Our results may provide insights into how different mitochondrial populations survive and evolve under different selection pressures and with time.