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[Formula: see text]), lipids (1740, 2852, 2922 cm[Formula: see text]), and nucleic acid (1160 and 1201 cm[Formula: see text]) as the major response of exposure to elevated CO2 concentrations. Our results show a local metabolism response to this external perturbation.

Alcon Laboratories Inc Belmont CA 94002 USA

Beckman Institute University of Illinois Urbana Champaign Urbana 61801 USA

Department of Cell Biology and Molecular Genetics University of Maryland College Park MD 20742 USA

Department of Physics University of Wisconsin Milwaukee Milwaukee WI 53211 USA

Dipartimento Scienze della Vita e dell'Ambiente Universita' Politecnica delle Marche Ancona AN Italy

Institute of Microbiology Academy of Sciences of the Czech Republic Trebon Czech Republic

Karlsruhe Institute of Technology Karlsruhe Germany

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