Universal dynamics of mitochondrial networks: a finite-size scaling analysis
A growing body of evidence suggests that the structure of mitochondrial networks is poised near criticality, an intermediate regime lying in between order and disorder. Such description fits well with the idea that biological systems, in general, may benefit from the long-range correlations and large flexibility conferred by a critical regime. Despite the attractiveness of this proposal, a clear understanding of the possible scenarios leading these networks to criticality is still lacking. In this work, we compared the behavior of mitochondrial networks emerging from a dimensionless agent-based (AB) model and a spatially explicit (SE) model, in which nodes are embedded on a 2D lattice. In both scenarios, we described the position of the control parameter at which mitochondrial networks exhibit a dynamical phase transition as well as the size-dependency of several network features. Furthermore, we showed that the mitochondrial networks from mouse embryonic fibroblasts presented similar topologies to the ones generated using the AB model, while their universal behavior is better described by a SE model. Using finite-size scaling analysis conducted on models and empirical data we defined the universality classes they belong and provided the theoretical boundaries for the mechanisms governing mitochondrial network formation. Our findings predict the full repertoire of dynamical behavior expected for real mitochondrial networks under physiological and pathological conditions.