Evidence map›Paper›PMID 36864462›Full record

ArticleMicrobiome2023

Selection processes of Arctic seasonal glacier snowpack bacterial communities.

Christoph Keuschnig, Timothy M Vogel, Elena Barbaro, Andrea Spolaor, Krystyna Koziol, Mats P Björkman, Christian Zdanowicz, Jean-Charles Gallet, Bartłomiej Luks, Rose Layton and 1 more

Abstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Disentangling bacterial diversity and biogeography in snow-covered regions.World journal of microbiology & biotechnology · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Christoph KeuschnigFormerly at Univ Lyon, CNRS, INSA Lyon, Université Claude Bernard Lyon 1, Ecole Centrale de Lyon, Ampère, UMR5005, 69134, Ecully Cedex, France.
Timothy M VogelUniv Lyon, CNRS, INSA Lyon, Université Claude Bernard Lyon 1, Ecole Centrale de Lyon, Ampère, UMR5005, 69134, Ecully Cedex, France.
Elena BarbaroInstitute of Polar Sciences, ISP-CNR, Via Torino 155, 30170, Venice Mestre, Italy.
Andrea SpolaorInstitute of Polar Sciences, ISP-CNR, Via Torino 155, 30170, Venice Mestre, Italy.
Krystyna KoziolDepartment of Environmental Change and Geochemistry, Faculty of Geographical Sciences, the Kazimierz Wielki University in Bydgoszcz, Bydgoszcz, Poland.
Mats P BjörkmanDepartment of Earth Sciences, University of Gothenburg, Box 460, SE-40530, Gothenburg, Sweden.
Christian ZdanowiczDepartment of Earth Sciences, Uppsala University, Villavägen 16, SE-75236, Uppsala, Sweden.
Jean-Charles GalletNorwegian Polar Institute, No-9296, Tromsø, Norway.
Bartłomiej LuksInstitute of Geophysics, Polish Academy of Sciences, Księcia Janusza 64, 01-452, Warsaw, Poland.
Rose LaytonFormerly at Univ Lyon, CNRS, INSA Lyon, Université Claude Bernard Lyon 1, Ecole Centrale de Lyon, Ampère, UMR5005, 69134, Ecully Cedex, France.
Catherine LaroseUniv Lyon, CNRS, INSA Lyon, Université Claude Bernard Lyon 1, Ecole Centrale de Lyon, Ampère, UMR5005, 69134, Ecully Cedex, France. catherine.larose@ec-lyon.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArctic 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.

methodsWe 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.

resultsWhile 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.

conclusionsThese 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.

Indexed as

BacteriaIce CoverBayes TheoremBiodiversitySeasonsArcticMicrobial ecologyNeutral processesNiche-based selectionSnow

Identifiers

PMID36864462
PMCPMC9979512

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.