Measurements of the swimming speeds of motile microorganisms using object tracking and their correlation with water pollution and rheology levels

Abstract Self-propelled microscopic organisms are ubiquitous in water. Such organisms’ motility depends on hydrodynamic and physical factors related to the rheology of the surrounding media and biological factors depending on the organisms’ state and well-being. Here we demonstrate that the swimming...

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Autores principales:	Ashaa Preyadharishini Shunmugam, Gowtham Subramanian, Javier G. Fernandez
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a3fe1a3a8b01456dad45e50b2d97271b
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spelling	oai:doaj.org-article:a3fe1a3a8b01456dad45e50b2d97271b2021-12-02T15:02:32ZMeasurements of the swimming speeds of motile microorganisms using object tracking and their correlation with water pollution and rheology levels10.1038/s41598-021-91134-12045-2322https://doaj.org/article/a3fe1a3a8b01456dad45e50b2d97271b2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91134-1https://doaj.org/toc/2045-2322Abstract Self-propelled microscopic organisms are ubiquitous in water. Such organisms’ motility depends on hydrodynamic and physical factors related to the rheology of the surrounding media and biological factors depending on the organisms’ state and well-being. Here we demonstrate that the swimming speed of Paramecium aurelia, a unicellular protozoan, globally found in fresh, brackish, and salt waters, can be used as a measurable frugal indicator of the presence of pollutants in water. This study establishes a significant and consistent relationship between Paramecia’s swimming speed and the presence of five different organic and inorganic contaminants at varying concentrations centered around drinking water thresholds. The large size and ubiquity of the targeted microorganism, the avoidance of reagents or specialized tools for the measurement, and the simple data collection based on an object tracking algorithm enable the automatization of the assessment and real-time results using globally available technology.Ashaa Preyadharishini ShunmugamGowtham SubramanianJavier G. FernandezNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ashaa Preyadharishini Shunmugam Gowtham Subramanian Javier G. Fernandez Measurements of the swimming speeds of motile microorganisms using object tracking and their correlation with water pollution and rheology levels
description	Abstract Self-propelled microscopic organisms are ubiquitous in water. Such organisms’ motility depends on hydrodynamic and physical factors related to the rheology of the surrounding media and biological factors depending on the organisms’ state and well-being. Here we demonstrate that the swimming speed of Paramecium aurelia, a unicellular protozoan, globally found in fresh, brackish, and salt waters, can be used as a measurable frugal indicator of the presence of pollutants in water. This study establishes a significant and consistent relationship between Paramecia’s swimming speed and the presence of five different organic and inorganic contaminants at varying concentrations centered around drinking water thresholds. The large size and ubiquity of the targeted microorganism, the avoidance of reagents or specialized tools for the measurement, and the simple data collection based on an object tracking algorithm enable the automatization of the assessment and real-time results using globally available technology.
format	article
author	Ashaa Preyadharishini Shunmugam Gowtham Subramanian Javier G. Fernandez
author_facet	Ashaa Preyadharishini Shunmugam Gowtham Subramanian Javier G. Fernandez
author_sort	Ashaa Preyadharishini Shunmugam
title	Measurements of the swimming speeds of motile microorganisms using object tracking and their correlation with water pollution and rheology levels
title_short	Measurements of the swimming speeds of motile microorganisms using object tracking and their correlation with water pollution and rheology levels
title_full	Measurements of the swimming speeds of motile microorganisms using object tracking and their correlation with water pollution and rheology levels
title_fullStr	Measurements of the swimming speeds of motile microorganisms using object tracking and their correlation with water pollution and rheology levels
title_full_unstemmed	Measurements of the swimming speeds of motile microorganisms using object tracking and their correlation with water pollution and rheology levels
title_sort	measurements of the swimming speeds of motile microorganisms using object tracking and their correlation with water pollution and rheology levels
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a3fe1a3a8b01456dad45e50b2d97271b
work_keys_str_mv	AT ashaapreyadharishinishunmugam measurementsoftheswimmingspeedsofmotilemicroorganismsusingobjecttrackingandtheircorrelationwithwaterpollutionandrheologylevels AT gowthamsubramanian measurementsoftheswimmingspeedsofmotilemicroorganismsusingobjecttrackingandtheircorrelationwithwaterpollutionandrheologylevels AT javiergfernandez measurementsoftheswimmingspeedsofmotilemicroorganismsusingobjecttrackingandtheircorrelationwithwaterpollutionandrheologylevels
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Measurements of the swimming speeds of motile microorganisms using object tracking and their correlation with water pollution and rheology levels

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