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.2023 Mar 2;11(1):35.
doi: 10.1186/s40168-023-01473-6.

Selection processes of Arctic seasonal glacier snowpack bacterial communities

Affiliations

Selection processes of Arctic seasonal glacier snowpack bacterial communities

Christoph Keuschnig et al. Microbiome..

Abstract

Background: Arctic snowpack microbial communities are continually subject to dynamic chemical and microbial input from the atmosphere. As such, the factors that contribute to structuring their microbial communities are complex and have yet to be completely resolved. These snowpack communities can be used to evaluate whether they fit niche-based or neutral assembly theories.

Methods: We sampled snow from 22 glacier sites on 7 glaciers across Svalbard in April during the maximum snow accumulation period and prior to the melt period to evaluate the factors that drive snowpack metataxonomy. These snowpacks were seasonal, accumulating in early winter on bare ice and firn and completely melting out in autumn. Using a Bayesian fitting strategy to evaluate Hubbell's Unified Neutral Theory of Biodiversity at multiple sites, we tested for neutrality and defined immigration rates at different taxonomic levels. Bacterial abundance and diversity were measured and the amount of potential ice-nucleating bacteria was calculated. The chemical composition (anions, cations, organic acids) and particulate impurity load (elemental and organic carbon) of the winter and spring snowpack were also characterized. We used these data in addition to geographical information to assess possible niche-based effects on snow microbial communities using multivariate and variable partitioning analysis.

Results: While certain taxonomic signals were found to fit the neutral assembly model, clear evidence of niche-based selection was observed at most sites. Inorganic chemistry was not linked directly to diversity, but helped to identify predominant colonization sources and predict microbial abundance, which was tightly linked to sea spray. Organic acids were the most significant predictors of microbial diversity. At low organic acid concentrations, the snow microbial structure represented the seeding community closely, and evolved away from it at higher organic acid concentrations, with concomitant increases in bacterial numbers.

Conclusions: These results indicate that environmental selection plays a significant role in structuring snow microbial communities and that future studies should focus on activity and growth. Video Abstract.

Keywords: Arctic; Microbial ecology; Neutral processes; Niche-based selection; Snow.

© 2023. The Author(s).

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Map of glaciers and sites sampled, spanning 102–1193 m above sea level (a.s.l.)
Fig. 2
Fig. 2
Relative abundances of dominant classes from bacterial communities analyzed in single samples grouped by altitudinal height (m a.s.l = meters above sea level) (A), glacier (B), and cluster analysis (C). Samples are named as follows: Glacier abbreviation (AF=Austfonna, LF=Lomosofonna, HDF=Holtedahlfonna, KV= Kongsvegen, ALB= Austre Lovénbreen), followed by 1, 2, and 3, which represent either the ablation, equilibrium, or accumulation zone of the glaciers, respectively. The numbers following the M represent the individual snow layers, with M1 representing the top 5 cm of the snowpack and M2, M3, etc. representing the underlying layers in increments of 50 cm
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References

    1. Estilow TW, Young AH, Robinson DA. A long-term Northern Hemisphere snow cover extent data record for climate studies and monitoring. Earth Syst Sci Data. 2015;7:137–142. doi: 10.5194/essd-7-137-2015. - DOI
    1. Maccario L, Sanguino L, Vogel TM, Larose C. Snow and ice ecosystems: not so extreme. Res Microbiol. 2015;166:782–795. doi: 10.1016/j.resmic.2015.09.002. - DOI - PubMed
    1. Hoham RW, Duval B. Microbial ecology of snow and freshwater ice with emphasis on snow algae. In: Jones HG, Pomeroy JW, Walker DA, Hoham RW, editors. Snow Ecol an Interdiscip Exam snow-covered Ecosyst. Cambridge: Cambridge University Press; 2001. pp. 168–228.
    1. Hoham RW, Remias D. Snow and glacial algae: a review. J Phycol. 2020;56:264–282. doi: 10.1111/jpy.12952. - DOI - PMC - PubMed
    1. Amato P, Hennebelle R, Magand O, Sancelme M, Delort AM, Barbante C, et al. Bacterial characterization of the snow cover at Spitzberg, Svalbard. FEMS Microbiol Ecol. 2007;59:255–264. doi: 10.1111/j.1574-6941.2006.00198.x. - DOI - PubMed

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