F-actin bending facilitates net actomyosin contraction By inhibiting expansion with plus-end-located myosin motors

Alexander K.Y. Tam, Alex Mogilner, Dietmar B. Oelz

Research output: Contribution to journalArticlepeer-review

Abstract

Contraction of actomyosin networks underpins important cellular processes including motility and division. The mechanical origin of actomyosin contraction is not fully-understood. We investigate whether contraction arises on the scale of individual filaments, without needing to invoke network-scale interactions. We derive discrete force-balance and continuum partial differential equations for two symmetric, semi-flexible actin filaments with an attached myosin motor. Assuming the system exists within a homogeneous background material, our method enables computation of the stress tensor, providing a measure of contractility. After deriving the model, we use a combination of asymptotic analysis and numerical solutions to show how F-actin bending facilitates contraction on the scale of two filaments. Rigid filaments exhibit polarity-reversal symmetry as the motor travels from the minus to plus-ends, such that contractile and expansive components cancel. Filament bending induces a geometric asymmetry that brings the filaments closer to parallel as a myosin motor approaches their plus-ends, decreasing the effective spring force opposing motor motion. The reduced spring force enables the motor to move faster close to filament plus-ends, which reduces expansive stress and gives rise to net contraction. Bending-induced geometric asymmetry provides both new understanding of actomyosin contraction mechanics, and a hypothesis that can be tested in experiments.

Original languageEnglish (US)
Article number4
JournalJournal Of Mathematical Biology
Volume85
Issue number1
DOIs
StatePublished - Jul 2022

Keywords

  • Actomyosin
  • Asymptotic analysis
  • Curve-straightening flow
  • Energy functional
  • Gradient flow
  • Stress tensor

ASJC Scopus subject areas

  • Modeling and Simulation
  • Agricultural and Biological Sciences (miscellaneous)
  • Applied Mathematics

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