Time lapse synchrotron IR chemical imaging for observing the acclimation of a single algal cell to CO2 treatment

Abstract Algae are the main primary producers in aquatic environments and therefore of fundamental importance for the global ecosystem. Mid-infrared (IR) microspectroscopy is a non-invasive tool that allows in principle studying chemical composition on a single-cell level. For a long time, however,...

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Autores principales:	Ghazal Azarfar, Ebrahim Aboualizadeh, Simona Ratti, Camilla Olivieri, Alessandra Norici, Michael J. Nasse, Mario Giordano, Carol J. Hirschmugl
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Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1724d3acfef84b159982cdd563e3968d
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spelling	oai:doaj.org-article:1724d3acfef84b159982cdd563e3968d2021-12-02T17:14:24ZTime lapse synchrotron IR chemical imaging for observing the acclimation of a single algal cell to CO2 treatment10.1038/s41598-021-92657-32045-2322https://doaj.org/article/1724d3acfef84b159982cdd563e3968d2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92657-3https://doaj.org/toc/2045-2322Abstract Algae are the main primary producers in aquatic environments and therefore of fundamental importance for the global ecosystem. Mid-infrared (IR) microspectroscopy is a non-invasive tool that allows in principle studying chemical composition on a single-cell level. For a long time, however, mid-infrared (IR) imaging of living algal cells in an aqueous environment has been a challenge due to the strong IR absorption of water. In this study, we employed multi-beam synchrotron radiation to measure time-resolved IR hyperspectral images of individual Thalassiosira weissflogii cells in water in the course of acclimation to an abrupt change of CO2 availability (from 390 to 5000 ppm and vice versa) over 75 min. We used a previously developed algorithm to correct sinusoidal interference fringes from IR hyperspectral imaging data. After preprocessing and fringe correction of the hyperspectral data, principal component analysis (PCA) was performed to assess the spatial distribution of organic pools within the algal cells. Through the analysis of 200,000 spectra, we were able to identify compositional modifications associated with CO2 treatment. PCA revealed changes in the carbohydrate pool (1200–950 cm $$^{-1}$$ - 1 ), lipids (1740, 2852, 2922 cm $$^{-1}$$ - 1 ), and nucleic acid (1160 and 1201 cm $$^{-1}$$ - 1 ) as the major response of exposure to elevated CO2 concentrations. Our results show a local metabolism response to this external perturbation.Ghazal AzarfarEbrahim AboualizadehSimona RattiCamilla OlivieriAlessandra NoriciMichael J. NasseMario GiordanoCarol J. HirschmuglNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ghazal Azarfar Ebrahim Aboualizadeh Simona Ratti Camilla Olivieri Alessandra Norici Michael J. Nasse Mario Giordano Carol J. Hirschmugl Time lapse synchrotron IR chemical imaging for observing the acclimation of a single algal cell to CO2 treatment
description	Abstract Algae are the main primary producers in aquatic environments and therefore of fundamental importance for the global ecosystem. Mid-infrared (IR) microspectroscopy is a non-invasive tool that allows in principle studying chemical composition on a single-cell level. For a long time, however, mid-infrared (IR) imaging of living algal cells in an aqueous environment has been a challenge due to the strong IR absorption of water. In this study, we employed multi-beam synchrotron radiation to measure time-resolved IR hyperspectral images of individual Thalassiosira weissflogii cells in water in the course of acclimation to an abrupt change of CO2 availability (from 390 to 5000 ppm and vice versa) over 75 min. We used a previously developed algorithm to correct sinusoidal interference fringes from IR hyperspectral imaging data. After preprocessing and fringe correction of the hyperspectral data, principal component analysis (PCA) was performed to assess the spatial distribution of organic pools within the algal cells. Through the analysis of 200,000 spectra, we were able to identify compositional modifications associated with CO2 treatment. PCA revealed changes in the carbohydrate pool (1200–950 cm $$^{-1}$$ - 1 ), lipids (1740, 2852, 2922 cm $$^{-1}$$ - 1 ), and nucleic acid (1160 and 1201 cm $$^{-1}$$ - 1 ) as the major response of exposure to elevated CO2 concentrations. Our results show a local metabolism response to this external perturbation.
format	article
author	Ghazal Azarfar Ebrahim Aboualizadeh Simona Ratti Camilla Olivieri Alessandra Norici Michael J. Nasse Mario Giordano Carol J. Hirschmugl
author_facet	Ghazal Azarfar Ebrahim Aboualizadeh Simona Ratti Camilla Olivieri Alessandra Norici Michael J. Nasse Mario Giordano Carol J. Hirschmugl
author_sort	Ghazal Azarfar
title	Time lapse synchrotron IR chemical imaging for observing the acclimation of a single algal cell to CO2 treatment
title_short	Time lapse synchrotron IR chemical imaging for observing the acclimation of a single algal cell to CO2 treatment
title_full	Time lapse synchrotron IR chemical imaging for observing the acclimation of a single algal cell to CO2 treatment
title_fullStr	Time lapse synchrotron IR chemical imaging for observing the acclimation of a single algal cell to CO2 treatment
title_full_unstemmed	Time lapse synchrotron IR chemical imaging for observing the acclimation of a single algal cell to CO2 treatment
title_sort	time lapse synchrotron ir chemical imaging for observing the acclimation of a single algal cell to co2 treatment
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/1724d3acfef84b159982cdd563e3968d
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Time lapse synchrotron IR chemical imaging for observing the acclimation of a single algal cell to CO2 treatment

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