Stochastic fluid dynamics simulations of the velocity distribution in protoplasmic streaming

International audience Protoplasmic streaming in plant cells is directly visible in the cases of Chara corallina and Nitella flexilis , and this streaming is understood to play a role in the transport of biological materials. For this reason, related studies have focused on molecular transportation...

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Published in:Physics of Fluids
Main Authors: Egorov, Vladislav, Maksimova, Olga, Andreeva-Sussin, Irina, Koibuchi, Hiroshi, Hongo, Satoshi, Nagahiro, Shinichiro, Ikai, Toshiyuki, Nakayama, Madoka, Noro, Shuta, Uchimoto, Tetsuya, Rieu, Jean-Paul
Other Authors: Cherepovets State University, Peter the Great St. Petersburg Polytechnic University (SPbPU), National Institute of Technology (KOSEN), ELyTMaX, École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Tohoku University Sendai -Centre National de la Recherche Scientifique (CNRS), Institute of Fluid Sciences Sendai (IFS), Tohoku University Sendai, iLM - Biophysique (iLM - BIOPHYSIQUE), Institut Lumière Matière Villeurbanne (ILM), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2020
Subjects:
Online Access:https://hal.science/hal-03093645
https://hal.science/hal-03093645/document
https://hal.science/hal-03093645/file/5.0019225.pdf
https://doi.org/10.1063/5.0019225
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spelling ftinsalyonhal:oai:HAL:hal-03093645v1 2024-06-23T07:54:49+00:00 Stochastic fluid dynamics simulations of the velocity distribution in protoplasmic streaming Egorov, Vladislav Maksimova, Olga Andreeva-Sussin, Irina Koibuchi, Hiroshi Hongo, Satoshi Nagahiro, Shinichiro Ikai, Toshiyuki Nakayama, Madoka Noro, Shuta Uchimoto, Tetsuya Rieu, Jean-Paul Cherepovets State University Peter the Great St. Petersburg Polytechnic University (SPbPU) National Institute of Technology (KOSEN) ELyTMaX École Centrale de Lyon (ECL) Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon) Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Tohoku University Sendai -Centre National de la Recherche Scientifique (CNRS) Institute of Fluid Sciences Sendai (IFS) Tohoku University Sendai iLM - Biophysique (iLM - BIOPHYSIQUE) Institut Lumière Matière Villeurbanne (ILM) Université Claude Bernard Lyon 1 (UCBL) Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL) Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS) 2020-12-01 https://hal.science/hal-03093645 https://hal.science/hal-03093645/document https://hal.science/hal-03093645/file/5.0019225.pdf https://doi.org/10.1063/5.0019225 en eng HAL CCSD American Institute of Physics info:eu-repo/semantics/altIdentifier/arxiv/2006.12067 info:eu-repo/semantics/altIdentifier/doi/10.1063/5.0019225 hal-03093645 https://hal.science/hal-03093645 https://hal.science/hal-03093645/document https://hal.science/hal-03093645/file/5.0019225.pdf ARXIV: 2006.12067 doi:10.1063/5.0019225 info:eu-repo/semantics/OpenAccess ISSN: 1070-6631 EISSN: 1089-7666 Physics of Fluids https://hal.science/hal-03093645 Physics of Fluids, 2020, 32 (12), pp.121902. ⟨10.1063/5.0019225⟩ Cell structure Partial differential equations Fluid dynamics simulation Computer simulation Brownian motion Cell membranes Stochastic processes Navier Stokes equations Langevin dynamics Molecular motor [SPI]Engineering Sciences [physics] [CHIM]Chemical Sciences [PHYS]Physics [physics] info:eu-repo/semantics/article Journal articles 2020 ftinsalyonhal https://doi.org/10.1063/5.0019225 2024-05-29T23:42:14Z International audience Protoplasmic streaming in plant cells is directly visible in the cases of Chara corallina and Nitella flexilis , and this streaming is understood to play a role in the transport of biological materials. For this reason, related studies have focused on molecular transportation from a fluid mechanics viewpoint. However, the experimentally observed distribution of the velocity along the flow direction x, which exhibits two peaks at V x = 0 and at a finite V x (≠0), remains to be studied. In this paper, we numerically study whether this behavior of the flow field can be simulated by a 2D stochastic Navier–Stokes (NS) equation for Couette flow in which a random Brownian 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 the fluid particles plays an essential role in the emergence of these peaks in the velocity distribution. We also find that the position of the peak at V x (≠0) moves with the variation in the strength D of the random Brownian force, which also changes depending on physical parameters such as the kinematic viscosity, boundary velocity, and diameter of the plant cells.I. INTROD Article in Journal/Newspaper Nitella flexilis INSA Lyon HAL (Institut National des Sciences Appliquées) Physics of Fluids 32 12 121902
institution Open Polar
collection INSA Lyon HAL (Institut National des Sciences Appliquées)
op_collection_id ftinsalyonhal
language English
topic Cell structure
Partial differential equations
Fluid dynamics simulation
Computer simulation
Brownian motion
Cell membranes
Stochastic processes
Navier Stokes equations
Langevin dynamics
Molecular motor
[SPI]Engineering Sciences [physics]
[CHIM]Chemical Sciences
[PHYS]Physics [physics]
spellingShingle Cell structure
Partial differential equations
Fluid dynamics simulation
Computer simulation
Brownian motion
Cell membranes
Stochastic processes
Navier Stokes equations
Langevin dynamics
Molecular motor
[SPI]Engineering Sciences [physics]
[CHIM]Chemical Sciences
[PHYS]Physics [physics]
Egorov, Vladislav
Maksimova, Olga
Andreeva-Sussin, Irina
Koibuchi, Hiroshi
Hongo, Satoshi
Nagahiro, Shinichiro
Ikai, Toshiyuki
Nakayama, Madoka
Noro, Shuta
Uchimoto, Tetsuya
Rieu, Jean-Paul
Stochastic fluid dynamics simulations of the velocity distribution in protoplasmic streaming
topic_facet Cell structure
Partial differential equations
Fluid dynamics simulation
Computer simulation
Brownian motion
Cell membranes
Stochastic processes
Navier Stokes equations
Langevin dynamics
Molecular motor
[SPI]Engineering Sciences [physics]
[CHIM]Chemical Sciences
[PHYS]Physics [physics]
description International audience Protoplasmic streaming in plant cells is directly visible in the cases of Chara corallina and Nitella flexilis , and this streaming is understood to play a role in the transport of biological materials. For this reason, related studies have focused on molecular transportation from a fluid mechanics viewpoint. However, the experimentally observed distribution of the velocity along the flow direction x, which exhibits two peaks at V x = 0 and at a finite V x (≠0), remains to be studied. In this paper, we numerically study whether this behavior of the flow field can be simulated by a 2D stochastic Navier–Stokes (NS) equation for Couette flow in which a random Brownian 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 the fluid particles plays an essential role in the emergence of these peaks in the velocity distribution. We also find that the position of the peak at V x (≠0) moves with the variation in the strength D of the random Brownian force, which also changes depending on physical parameters such as the kinematic viscosity, boundary velocity, and diameter of the plant cells.I. INTROD
author2 Cherepovets State University
Peter the Great St. Petersburg Polytechnic University (SPbPU)
National Institute of Technology (KOSEN)
ELyTMaX
École Centrale de Lyon (ECL)
Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Tohoku University Sendai -Centre National de la Recherche Scientifique (CNRS)
Institute of Fluid Sciences Sendai (IFS)
Tohoku University Sendai
iLM - Biophysique (iLM - BIOPHYSIQUE)
Institut Lumière Matière Villeurbanne (ILM)
Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)
format Article in Journal/Newspaper
author Egorov, Vladislav
Maksimova, Olga
Andreeva-Sussin, Irina
Koibuchi, Hiroshi
Hongo, Satoshi
Nagahiro, Shinichiro
Ikai, Toshiyuki
Nakayama, Madoka
Noro, Shuta
Uchimoto, Tetsuya
Rieu, Jean-Paul
author_facet Egorov, Vladislav
Maksimova, Olga
Andreeva-Sussin, Irina
Koibuchi, Hiroshi
Hongo, Satoshi
Nagahiro, Shinichiro
Ikai, Toshiyuki
Nakayama, Madoka
Noro, Shuta
Uchimoto, Tetsuya
Rieu, Jean-Paul
author_sort Egorov, Vladislav
title Stochastic fluid dynamics simulations of the velocity distribution in protoplasmic streaming
title_short Stochastic fluid dynamics simulations of the velocity distribution in protoplasmic streaming
title_full Stochastic fluid dynamics simulations of the velocity distribution in protoplasmic streaming
title_fullStr Stochastic fluid dynamics simulations of the velocity distribution in protoplasmic streaming
title_full_unstemmed Stochastic fluid dynamics simulations of the velocity distribution in protoplasmic streaming
title_sort stochastic fluid dynamics simulations of the velocity distribution in protoplasmic streaming
publisher HAL CCSD
publishDate 2020
url https://hal.science/hal-03093645
https://hal.science/hal-03093645/document
https://hal.science/hal-03093645/file/5.0019225.pdf
https://doi.org/10.1063/5.0019225
genre Nitella flexilis
genre_facet Nitella flexilis
op_source ISSN: 1070-6631
EISSN: 1089-7666
Physics of Fluids
https://hal.science/hal-03093645
Physics of Fluids, 2020, 32 (12), pp.121902. ⟨10.1063/5.0019225⟩
op_relation info:eu-repo/semantics/altIdentifier/arxiv/2006.12067
info:eu-repo/semantics/altIdentifier/doi/10.1063/5.0019225
hal-03093645
https://hal.science/hal-03093645
https://hal.science/hal-03093645/document
https://hal.science/hal-03093645/file/5.0019225.pdf
ARXIV: 2006.12067
doi:10.1063/5.0019225
op_rights info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.1063/5.0019225
container_title Physics of Fluids
container_volume 32
container_issue 12
container_start_page 121902
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