Accumulation of <i>Tetrahymena pyriformis</i> on Interfaces

The behavior of ciliates has been studied for many years through environmental biology and the ethology of microorganisms, and recent hydrodynamic studies of microswimmers have greatly advanced our understanding of the behavioral dynamics at the single-cell level. However, the association between si...

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Autores principales:	Kohei Okuyama, Yukinori Nishigami, Takuya Ohmura, Masatoshi Ichikawa
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	swimming microorganism ciliates cell suspension cell accumulation diffusion equation Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/c248d091ef8343169531b49bf7eece06
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spelling	oai:doaj.org-article:c248d091ef8343169531b49bf7eece062021-11-25T18:23:14ZAccumulation of <i>Tetrahymena pyriformis</i> on Interfaces10.3390/mi121113392072-666Xhttps://doaj.org/article/c248d091ef8343169531b49bf7eece062021-10-01T00:00:00Zhttps://www.mdpi.com/2072-666X/12/11/1339https://doaj.org/toc/2072-666XThe behavior of ciliates has been studied for many years through environmental biology and the ethology of microorganisms, and recent hydrodynamic studies of microswimmers have greatly advanced our understanding of the behavioral dynamics at the single-cell level. However, the association between single-cell dynamics captured by microscopic observation and pattern dynamics obtained by macroscopic observation is not always obvious. Hence, to bridge the gap between the two, there is a need for experimental results on swarming dynamics at the mesoscopic scale. In this study, we investigated the spatial population dynamics of the ciliate, <i>Tetrahymena pyriformis</i>, based on quantitative data analysis. We combined the image processing of 3D micrographs and machine learning to obtain the positional data of individual cells of <i>T. pyriformis</i> and examined their statistical properties based on spatio-temporal data. According to the 3D spatial distribution of cells and their temporal evolution, cells accumulated both on the solid wall at the bottom surface and underneath the air–liquid interface at the top. Furthermore, we quantitatively clarified the difference in accumulation levels between the bulk and the interface by creating a simple behavioral model that incorporated quantitative accumulation coefficients in its solution. The accumulation coefficients can be compared under different conditions and between different species.Kohei OkuyamaYukinori NishigamiTakuya OhmuraMasatoshi IchikawaMDPI AGarticleswimming microorganismciliatescell suspensioncell accumulationdiffusion equationMechanical engineering and machineryTJ1-1570ENMicromachines, Vol 12, Iss 1339, p 1339 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	swimming microorganism ciliates cell suspension cell accumulation diffusion equation Mechanical engineering and machinery TJ1-1570
spellingShingle	swimming microorganism ciliates cell suspension cell accumulation diffusion equation Mechanical engineering and machinery TJ1-1570 Kohei Okuyama Yukinori Nishigami Takuya Ohmura Masatoshi Ichikawa Accumulation of <i>Tetrahymena pyriformis</i> on Interfaces
description	The behavior of ciliates has been studied for many years through environmental biology and the ethology of microorganisms, and recent hydrodynamic studies of microswimmers have greatly advanced our understanding of the behavioral dynamics at the single-cell level. However, the association between single-cell dynamics captured by microscopic observation and pattern dynamics obtained by macroscopic observation is not always obvious. Hence, to bridge the gap between the two, there is a need for experimental results on swarming dynamics at the mesoscopic scale. In this study, we investigated the spatial population dynamics of the ciliate, <i>Tetrahymena pyriformis</i>, based on quantitative data analysis. We combined the image processing of 3D micrographs and machine learning to obtain the positional data of individual cells of <i>T. pyriformis</i> and examined their statistical properties based on spatio-temporal data. According to the 3D spatial distribution of cells and their temporal evolution, cells accumulated both on the solid wall at the bottom surface and underneath the air–liquid interface at the top. Furthermore, we quantitatively clarified the difference in accumulation levels between the bulk and the interface by creating a simple behavioral model that incorporated quantitative accumulation coefficients in its solution. The accumulation coefficients can be compared under different conditions and between different species.
format	article
author	Kohei Okuyama Yukinori Nishigami Takuya Ohmura Masatoshi Ichikawa
author_facet	Kohei Okuyama Yukinori Nishigami Takuya Ohmura Masatoshi Ichikawa
author_sort	Kohei Okuyama
title	Accumulation of <i>Tetrahymena pyriformis</i> on Interfaces
title_short	Accumulation of <i>Tetrahymena pyriformis</i> on Interfaces
title_full	Accumulation of <i>Tetrahymena pyriformis</i> on Interfaces
title_fullStr	Accumulation of <i>Tetrahymena pyriformis</i> on Interfaces
title_full_unstemmed	Accumulation of <i>Tetrahymena pyriformis</i> on Interfaces
title_sort	accumulation of <i>tetrahymena pyriformis</i> on interfaces
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c248d091ef8343169531b49bf7eece06
work_keys_str_mv	AT koheiokuyama accumulationofitetrahymenapyriformisioninterfaces AT yukinorinishigami accumulationofitetrahymenapyriformisioninterfaces AT takuyaohmura accumulationofitetrahymenapyriformisioninterfaces AT masatoshiichikawa accumulationofitetrahymenapyriformisioninterfaces
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Accumulation of <i>Tetrahymena pyriformis</i> on Interfaces

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