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The exometabolome of microbial communities inhabiting bare ice surfaces on the southernGreenland Ice Sheet

Urheber*innen

Doting,  Eva L.
External Organizations;

Jensen,  Marie B.
External Organizations;

/persons/resource/epeter

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

Ellegaard‐Jensen,  Lea
External Organizations;

Tranter,  Martyn
External Organizations;

/persons/resource/benning

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

Hansen,  Martin
External Organizations;

Anesio,  Alexandre M.
External Organizations;

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5025026.pdf
(Verlagsversion), 3MB

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Zitation

Doting, E. L., Jensen, M. B., Peter, E. K., Ellegaard‐Jensen, L., Tranter, M., Benning, L. G., Hansen, M., Anesio, A. M. (2024): The exometabolome of microbial communities inhabiting bare ice surfaces on the southernGreenland Ice Sheet. - Environmental Microbiology, 26, 2, e16574.
https://doi.org/10.1111/1462-2920.16574


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5025026
Zusammenfassung
Microbial blooms colonize the Greenland Ice Sheet bare ice surface during the ablation season and significantly reduce its albedo. On the ice surface, microbes are exposed to high levels of irradiance, freeze–thaw cycles, and low nutrient concentrations. It is well known that microorganisms secrete metabolites to maintain homeostasis, communicate with other microorganisms, and defend themselves. Yet, the exometabolome of supraglacial microbial blooms, dominated by the pigmented glacier ice algae Ancylonema alaskanum and Ancylonema nordenskiöldii, remains thus far unstudied. Here, we use a high-resolution mass spectrometry-based untargeted metabolomics workflow to identify metabolites in the exometabolome of microbial blooms on the surface of the southern tip of the Greenland Ice Sheet. Samples were collected every 6 h across two diurnal cycles at 5 replicate sampling sites with high similarity in community composition, in terms of orders and phyla present. Time of sampling explained 46% (permutational multivariate analysis of variance [PERMANOVA], pseudo-F = 3.7771, p = 0.001) and 27% (PERMANOVA, pseudo-F = 1.8705, p = 0.001) of variance in the exometabolome across the two diurnal cycles. Annotated metabolites included riboflavin, lumichrome, tryptophan, and azelaic acid, all of which have demonstrated roles in microbe–microbe interactions in other ecosystems and should be tested for potential roles in the development of microbial blooms on bare ice surfaces.