Literature DB >> 25960428

Application of quasi-steady state methods to molecular motor transport on microtubules in fungal hyphae.

Duncan Dauvergne1, Leah Edelstein-Keshet2.   

Abstract

We consider bidirectional transport of cargo by molecular motors dynein and kinesin that walk along microtubules, and/or diffuse in the cell. The motors compete to transport cargo in opposite directions with respect to microtubule polarity (towards the plus or minus end of the microtubule). In recent work, Gou et al. (2014) used a hierarchical set of models, each consisting of continuum transport equations to track the evolution of motors and their cargo (early endosomes) in the specific case of the fungus Ustilago maydis. We complement their work using a framework of quasi-steady state analysis developed by Newby and Bressloff (2010) and Bressloff and Newby (2013) to reduce the models to an approximating steady state Fokker-Plank equation. This analysis allows us to find analytic approximations to the steady state solutions in many cases where the full models are not easily solved. Consequently, we can make predictions about parameter dependence of the resulting spatial distributions. We also characterize the overall rates of bulk transport and diffusion, and how these are related to state transition parameters, motor speeds, microtubule polarity distribution, and specific assumptions made.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Dynein; Kinesin; Molecular motors; Spatial distribution; Ustilago maydis

Mesh:

Year:  2015        PMID: 25960428     DOI: 10.1016/j.jtbi.2015.04.033

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  2 in total

1.  Spatial pattern formation in microtubule post-translational modifications and the tight localization of motor-driven cargo.

Authors:  Abdon Iniguez; Jun Allard
Journal:  J Math Biol       Date:  2016-09-03       Impact factor: 2.259

Review 2.  Spatial organization of organelles in fungi: Insights from mathematical modelling.

Authors:  Congping Lin; Gero Steinberg
Journal:  Fungal Genet Biol       Date:  2017-03-25       Impact factor: 3.495

  2 in total

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