Evidence map›Paper›PMID 41597575›Full record

ArticleMicroorganisms2025

Bacterial Diversity of Arctic Soils with Long-Standing Pollution by Petroleum Products and Heavy Metals.

Ekaterina M Semenova, Tamara L Babich, Diyana S Sokolova, Vladimir A Myazin, Maria V Korneykova, Tamara N Nazina

Abstract read
In one paragraph

Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Ekaterina M SemenovaWinogradsky Institute of Microbiology, Research Center of Biotechnology, Russian Academy of Sciences, 119071 Moscow, Russia.
Tamara L BabichWinogradsky Institute of Microbiology, Research Center of Biotechnology, Russian Academy of Sciences, 119071 Moscow, Russia.ORCID 0000-0002-7638-4325
Diyana S SokolovaWinogradsky Institute of Microbiology, Research Center of Biotechnology, Russian Academy of Sciences, 119071 Moscow, Russia.ORCID 0000-0003-2422-4423
Vladimir A MyazinInstitute of North Industrial Ecology Problems-Subdivision of the Federal Research Centre "Kola Science Centre of Russian Academy of Science", 184209 Apatity, Russia.ORCID 0000-0002-4155-3416
Maria V KorneykovaInstitute of North Industrial Ecology Problems-Subdivision of the Federal Research Centre "Kola Science Centre of Russian Academy of Science", 184209 Apatity, Russia.ORCID 0000-0002-6167-1567
Tamara N NazinaWinogradsky Institute of Microbiology, Research Center of Biotechnology, Russian Academy of Sciences, 119071 Moscow, Russia.ORCID 0000-0002-6586-2467

Funding

Ministry of Science and Higher Education of the Russian Federation FSSF-2024-0023RUDN University Scientific Projects Grant System 202414-2-000
6 · The paper itself

Abstract

Long-standing and chronic soil pollution in the Polar Regions is the most persistent. Simultaneous contamination with petroleum products and heavy metals puts additional load on the soil microbial community. The purpose of this work was to determine the composition of prokaryotes in the soils of Mount Kaskama with long-standing contamination with petroleum products and heavy metals (Murmansk region, Russia) and outside this zone and the potential ability of bacteria to participate in the self-purification of these soils. Using high-throughput sequencing of 16S rRNA gene V3-V4 fragments, an increase in the proportion of bacteria of the phyla

Indexed as

16S rRNA geneArctic soilsbacterial diversitybacterial isolationheavy metalshigh-throughput sequencinghydrocarbon-oxidizing bacteriahydrocarbons

Identifiers

PMID41597575
PMCPMC12843735

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.