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Journal Article

Endometabolic profiling of pigmented glacier ice algae: the impact of sample processing

Authors
/persons/resource/epeter

Peter,  Elisa Katharina
3.5 Interface Geochemistry, 3.0 Geochemistry, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
Submitting Corresponding Author, Deutsches GeoForschungsZentrum;

Jaeger,  Carsten
External Organizations;

Lisec,  Jan
External Organizations;

Peters,  R. Sven
External Organizations;

Mourot,  Rey
External Organizations;

/persons/resource/prossel

Rossel,  Pamela E.
3.5 Interface Geochemistry, 3.0 Geochemistry, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Tranter,  Martyn
External Organizations;

Anesio,  Alexandre M.
External Organizations;

/persons/resource/benning

Benning,  Liane G.
3.5 Interface Geochemistry, 3.0 Geochemistry, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;
Corresponding Author, Deutsches GeoForschungsZentrum;

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5027014.pdf
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Citation

Peter, E. K., Jaeger, C., Lisec, J., Peters, R. S., Mourot, R., Rossel, P. E., Tranter, M., Anesio, A. M., Benning, L. G. (2024): Endometabolic profiling of pigmented glacier ice algae: the impact of sample processing. - Metabolomics, 20, 98.
https://doi.org/10.1007/s11306-024-02147-6


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5027014
Abstract
Introduction Glacier ice algae, mainly Ancylonema alaskanum and Ancylonema nordenskiöldi, bloom on Greenland Ice Sheet bare ice surfaces. They significantly decrease surface albedo due to their purple-brown pigmentation, thus increasing melt. Little is known about their metabolic adaptation and factors controlling algal growth dynamics and pigment formation. A challenge in obtaining such data is the necessity of melting samples, which delays preservation and introduces bias to metabolomic analysis. There is a need to evaluate the physiological response of algae to melting and establish consistent sample processing strategies for metabolomics of ice microbial communities. Objectives To address the impact of sample melting procedure on metabolic characterization and establish a processing and analytical workflow for endometabolic profiling of glacier ice algae. Methods We employed untargeted, high-resolution mass spectrometry and tested the effect of sample melt temperature (10, 15, 20 °C) and processing delay (up to 49 h) on the metabolome and lipidome, and complemented this approach with cell counts (FlowCam), photophysiological analysis (PAM) and diversity characterization. Results and Conclusion We putatively identified 804 metabolites, with glycerolipids, glycerophospholipids and fatty acyls being the most prominent superclasses (> 50% of identified metabolites). Among the polar metabolome, carbohydrates and amino acid-derivatives were the most abundant. We show that 8% of the metabolome is affected by melt duration, with a pronounced decrease in betaine membrane lipids and pigment precursors, and an increase in phospholipids. Controlled fast melting at 10 °C resulted in the highest consistency, and is our recommendation for future supraglacial metabolomics studies.