Abstract

Mathematical modelling in cellular systems aims to describe biological processes in a quantitative manner. Most accurate modelling is based on robust experimental data. Here we review recent progress in the theoretical description of motor behaviour, early endosome motility, ribosome distribution and peroxisome transport in the fungal model system Ustilago maydis and illustrate the power of modelling in our quest to understand molecular details and cellular roles of membrane trafficking in filamentous fungi.

Highlights

  • Mathematical modelling helps to elucidate the cooperation of motors and bipolar MT array in spatial organization of the early endosome (EE) compartment

  • Mathematical modelling provides a powerful way to understand the fundamental principles of biological processes (Tomlin & Axelrod 2007)

  • This ordinary differential equation (ODE) model takes account of (1) average MT bundle polarity resulting from a number of MTs that are modelled by polymerization and depolymerisation processes with published rates (Steinberg et al, 2001) and the assumption that isotropic MT nucleation was inhibited at cell ends, and (2) four different populations of EEs and transitions among the four populations (Gou et al, 2014; Dauvergne & Edelstein-Keshet, 2015)

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Summary

ORE Open Research Exeter

TITLE Spatial organization of organelles in fungi: Insights from mathematical modelling AUTHORS Lin, C; Steinberg, G JOURNAL Fungal Genetics and Biology DEPOSITED IN ORE 03 July 2017. Spatial organisation of organelles in fungi: Insights from mathematical modelling. We review recent progress in the theoretical description of motor behaviour, early endosome motility, ribosome distribution and peroxisome transport in the fungal model system Ustilago maydis and illustrate the power of modelling in our quest to understand molecular details and cellular roles of membrane trafficking in filamentous fungi. 2. Mathematical modelling helps to elucidate the cooperation of motors and bipolar MT array in spatial organization of the EE compartment. 3. Mathematical modelling reveals that a combination of diffusion and directed transport processes cooperate to distribute both, ribosomes and peroxisomal organization

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