Evidence map›Paper›PMID 42073406›Full record

ArticleLife (Basel, Switzerland)2026

Interannual Bacterial Diversity Variability in Antarctic Snow/Ice Samples in the Vicinity of Concordia Station.

Gerardo A Stoppiello, Ricardo Belmonte-Lopes, Caterina Ripa, Daniela Billi, Laura Selbmann

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Gerardo A StoppielloDepartment of Ecological and Biological Sciences, University of Tuscia, 01100 Viterbo, Italy.ORCID 0000-0002-2158-3802
Ricardo Belmonte-LopesDepartment of Ecological and Biological Sciences, University of Tuscia, 01100 Viterbo, Italy.ORCID 0000-0002-3122-0271
Caterina RipaDepartment of Ecological and Biological Sciences, University of Tuscia, 01100 Viterbo, Italy.ORCID 0000-0001-6001-930X
Daniela BilliDepartment of Biology, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-9363-2415
Laura SelbmannDepartment of Ecological and Biological Sciences, University of Tuscia, 01100 Viterbo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we compared the bacterial diversity of two independent snow and ice sampling campaigns conducted in 2015-2016 and 2018-2019 at Dome C, Concordia Station, Antarctica. Using 16S rRNA gene amplicon sequencing, we analysed 81 samples and, after quality filtering and rarefaction, obtained approximately 3.8 million high-quality reads. Alpha diversity analyses revealed comparable richness between the two sampling periods, while community evenness was higher in 2018-2019. In contrast, all beta diversity metrics consistently showed significant differences in community composition between years, while beta dispersion analyses indicated distinct levels of heterogeneity within the year. The results of the Raup-Crick null model (R0) analyses showed that the observed differences did not deviate from random expectations under the applied null hypothesis. Overall, these results indicate pronounced interannual variability in bacterial assemblages at Concordia Station and suggest that temporal changes in community composition are consistent with assembly processes dominated by episodic inputs and limited persistence under extreme environmental conditions. This study implements previous investigations by providing a comparative temporal perspective and contributes to a better understanding of microbial dynamics in one of the most isolated and low-biomass environments on Earth.

Indexed as

Antarctic Plateaubacterial assemblagesice/snow

Identifiers

PMID42073406
PMCPMC13117677

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Registered trials

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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.