Evidence map›Paper›PMID 37759592›Full record

ArticleBiology2023

Seasonality Is the Main Determinant of Microbial Diversity Associated to Snow/Ice around Concordia Station on the Antarctic Polar Plateau.

Gerardo A Stoppiello, Claudia Coleine, Ralf Moeller, Caterina Ripa, Daniela Billi, Laura Selbmann

Abstract read
In one paragraph

Article in Biology, 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.

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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

6 authors.

Gerardo A StoppielloDepartment of Ecological and Biological Sciences, University of Tuscia, 01100 Viterbo, Italy.ORCID 0000-0002-2158-3802
Claudia ColeineDepartment of Ecological and Biological Sciences, University of Tuscia, 01100 Viterbo, Italy.ORCID 0000-0002-9289-6179
Ralf MoellerAerospace Microbiology Research Group, Radiation Biology Department, Institute of Aerospace Medicine, German Aerospace Center (DLR e.V.), D-51103 Cologne, Germany.ORCID 0000-0002-2371-0676
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

The French-Italian Concordia Research Station, situated on the Antarctic Polar Plateau at an elevation of 3233 m above sea level, offers a unique opportunity to study the presence and variation of microbes introduced by abiotic or biotic vectors and, consequently, appraise the amplitude of human impact in such a pristine environment. This research built upon a previous work, which explored microbial diversity in the surface snow surrounding the Concordia Research Station. While that study successfully characterized the bacterial assemblage, detecting fungal diversity was hampered by the low DNA content. To address this knowledge gap, in the present study, we optimized the sampling by increasing ice/snow collected to leverage the final DNA yield. The V4 variable region of the 16S rDNA and Internal Transcribed Spacer (ITS1) rDNA was used to evaluate bacterial and fungal diversity. From the sequencing, we obtained 3,352,661 and 4,433,595 reads clustered in 930 and 3182 amplicon sequence variants (ASVs) for fungi and bacteria, respectively. Amplicon sequencing revealed a predominance of

Indexed as

amplicon sequencingAntarctic Polar Plateaubacteriaextraterrestrial analogueextremophilesfungilife detection

Identifiers

PMID37759592
PMCPMC10525097

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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.