Evidence map›Paper›PMID 37223356›Full record

ArticlemicroLife2022

Metagenomic survey of the microbiome of ancient Siberian permafrost and modern Kamchatkan cryosols.

Sofia Rigou, Eugène Christo-Foroux, Sébastien Santini, Artemiy Goncharov, Jens Strauss, Guido Grosse, Alexander N Fedorov, Karine Labadie, Chantal Abergel, Jean-Michel Claverie

Abstract read
In one paragraph

Article in microLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  7. Microbiology (Reading, England) · 2025
    Review
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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

10 authors.

Sofia RigouIGS, Information Génomique & Structurale (UMR7256), Institut de Microbiologie de la Méditerranée (FR 3489), CNRS, Aix Marseille University, Marseille, 13288, France.
Eugène Christo-ForouxIGS, Information Génomique & Structurale (UMR7256), Institut de Microbiologie de la Méditerranée (FR 3489), CNRS, Aix Marseille University, Marseille, 13288, France.
Sébastien SantiniIGS, Information Génomique & Structurale (UMR7256), Institut de Microbiologie de la Méditerranée (FR 3489), CNRS, Aix Marseille University, Marseille, 13288, France.
Artemiy GoncharovDepartment of Molecular Microbiology, Institute of Experimental Medicine, Saint Petersburg, Russia.ORCID https://orcid.org/0000-0002-5206-6656
Jens StraussPermafrost Research Section, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, 14473 Potsdam, Germany.
Guido GrossePermafrost Research Section, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, 14473 Potsdam, Germany.
Alexander N FedorovMelnikov Permafrost Institute, 677010 Yakutsk, Russia.
Karine LabadieGenoscope, Institut François Jacob, CEA, Université Paris-Saclay, Évry, 91000, France.
Chantal AbergelIGS, Information Génomique & Structurale (UMR7256), Institut de Microbiologie de la Méditerranée (FR 3489), CNRS, Aix Marseille University, Marseille, 13288, France.ORCID https://orcid.org/0000-0003-1875-4049
Jean-Michel ClaverieIGS, Information Génomique & Structurale (UMR7256), Institut de Microbiologie de la Méditerranée (FR 3489), CNRS, Aix Marseille University, Marseille, 13288, France.ORCID https://orcid.org/0000-0003-1424-0315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of global warming, the melting of Arctic permafrost raises the threat of a reemergence of microorganisms some of which were shown to remain viable in ancient frozen soils for up to half a million years. In order to evaluate this risk, it is of interest to acquire a better knowledge of the composition of the microbial communities found in this understudied environment. Here, we present a metagenomic analysis of 12 soil samples from Russian Arctic and subarctic pristine areas: Chukotka, Yakutia and Kamchatka, including nine permafrost samples collected at various depths. These large datasets (9.2 × 10

Indexed as

antibiotic resistance genesKamchatkametagenomicspermafrost thawSiberiaYakutia

Identifiers

PMID37223356
PMCPMC10117733

What OpenQuestion holds

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Registered trials

None linked

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.