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. 2020 May 18;14(9):2197–2210. doi: 10.1038/s41396-020-0677-4

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 6 — Distinct correlations of microalgae and their associated bacteria (a) and basidiomycetous yeasts (b) were observed for identified features summarized at genus level. Correlations were calculated for microalgal (Chlorophyceae, Chrysophyceae) and bacterial features with an abundance ≥0.1% in the snowfield samples (a). To identify correlations between algae and basidiomycetous yeasts, features assigned to Basidiomycota were manually blasted against the NCBI nucleotide collection. Features with the same taxonomic assignment at genus level were combined. The analyses are based on the Kendall’s tau rank correlation.