Stochastic Fluid Dynamics Simulations for the Velocity Distribution of Protoplasmic Streaming

Vladislav Egorov, Olga Maksimova, Irina Andreeva, Hiroshi Koibuchi, Satoshi Hongo, Shinichiro Nagahiro, Toshiyuki Ikai, Madoka Nakayama, Shuta Noro, Tetsuya Uchimoto, Jean Paul Rieu

Research output: Contribution to journalArticlepeer-review

Abstract

Protoplasmic streaming in plant cells is driven by the myosin molecule, which is called the molecular motor. The molecular motor also activates flows on/inside animal cell membranes; therefore, protoplasmic streaming has attracted considerable interest and has been extensively studied. However, the experimentally observed velocity distribution, which exhibits two peaks at Vx = 0 and finite Vx(6=0) along the flow direction x, remains to be studied. In this paper, we numerically study whether the behaviour of the flow field can be simulated by a 2D stochastic Navier-Stokes (NS) equation in which Brownian random force is assumed. We present the first numerical evidence that these peaks are reproduced by the stochastic NS equation, which implies that the Brownian motion of fluid particles plays an essential role in the presence of peaks in the velocity distribution. We also discuss the dependence of the flow field on the strength D of the Brownian random force in detail.

Original languageEnglish
JournalUnknown Journal
Publication statusPublished - 2020 Jun 22

ASJC Scopus subject areas

  • General

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