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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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    SYSNO ASEP0546810
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleTime lapse synchrotron IR chemical imaging for observing the acclimation of a single algal cell to CO2 treatment
    Author(s) Azarfar, G. (US)
    Aboualizadeh, E. (US)
    Ratti, S. (IT)
    Olivieri, C. (IT)
    Norici, A. (IT)
    Nasse, M. J. (DE)
    Giordano, Mario (MBU-M) ORCID
    Hirschmugl, C. J. (US)
    Article number13246
    Source TitleScientific Reports. - : Nature Publishing Group - ISSN 2045-2322
    Roč. 11, č. 1 (2021)
    Number of pages10 s.
    Languageeng - English
    CountryDE - Germany
    Keywordstransform infrared-spectroscopy ; carbon allocation ; marine diatom ; fringes ; phytoplankton ; elimination ; microscopy ; spectra
    Subject RIVEE - Microbiology, Virology
    OECD categoryMicrobiology
    R&D ProjectsGA17-18917S GA ČR - Czech Science Foundation (CSF)
    Method of publishingOpen access
    Institutional supportMBU-M - RVO:61388971
    UT WOS000670729700023
    EID SCOPUS85108678383
    DOI10.1038/s41598-021-92657-3
    AnnotationAlgae 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)), lipids (1740, 2852, 2922 cm(-1)), and nucleic acid (1160 and 1201 cm(-1)) as the major response of exposure to elevated CO2 concentrations. Our results show a local metabolism response to this external perturbation.
    WorkplaceInstitute of Microbiology
    ContactEliška Spurná, eliska.spurna@biomed.cas.cz, Tel.: 241 062 231
    Year of Publishing2022
    Electronic addresshttps://www.nature.com/articles/s41598-021-92657-3
Number of the records: 1  

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