Evidence map›Paper›PMID 42728677›Full record

ArticleThe Journal of eukaryotic microbiology

Non-Fungi Diversity Present in Soil and Snow Impacted by Anthropogenic Activity in King George Island, Maritime Antarctica Using Metabarcoding Approach.

Fábio Leal Viana Bones, Carlos Henrique Russi, Fabyano Alvares Cardoso Lopes, Micheline Carvalho-Silva, Peter Convey, Luiz Henrique Rosa, Paulo Eduardo Aguiar Saraiva Câmara

Abstract read
In one paragraph

Article in The Journal of eukaryotic microbiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

7 authors.

Fábio Leal Viana BonesPós-Graduação em Fungos, Algas e Plantas, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil.ORCID https://orcid.org/0000-0003-2956-1859
Carlos Henrique RussiInstituto Nacional de Pesquisa Amazônica (INPA), Pós-Graduação em Ecologia, Manaus, Brazil.ORCID https://orcid.org/0000-0002-9073-6788
Fabyano Alvares Cardoso LopesLaboratório de Microbiologia, Universidade Federal do Tocantins, Porto Nacional, TO, Brazil.ORCID https://orcid.org/0000-0002-4565-9103
Micheline Carvalho-SilvaDepartamento de Botânica, Universidade de Brasília, Brasília, DF, Brazil.ORCID https://orcid.org/0000-0002-2389-3804
Peter ConveyBritish Antarctic Survey, Natural Environment Research Council, Cambridge, UK.ORCID https://orcid.org/0000-0001-8497-9903
Luiz Henrique RosaDepartamento de Microbiologia, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.ORCID https://orcid.org/0000-0001-9749-5182
Paulo Eduardo Aguiar Saraiva CâmaraPós-Graduação em Fungos, Algas e Plantas, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil.ORCID https://orcid.org/0000-0002-3944-996X

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico
6 · The paper itself

Abstract

The Antarctic Peninsula shows a fast-rising temperature trend, increasing the risk of colonization by non-native species, such as the invasive Poa annua. The "cryptic diversity" of largely unknown microscopic propagules in soil and snow poses a significant threat, as traditional morphological surveys are inadequate. Therefore, DNA metabarcoding of environmental DNA was applied to achieve a broader and more accurate assessment. We investigated non-fungi eDNA diversity in soil (three sites) and freshly deposited snow (five sites) from Martel Inlet, King George Island, with sites categorized by proximity to human activity. DNA was extracted, and the internal transcribed spacer 2 (ITS2) was used as the DNA barcode. Sequencing was performed using an Illumina MiSeq V3. Sequences were classified into 72 ASVs, representing four kingdoms and 10 phyla, with 18% not previously recorded in Antarctica. Soils hosted richer communities (mean of 30 ASVs per sample) than snow (mean of 16.2 ASVs per sample); however, there was no statistically significant difference in abundance nor diversity between the sample types. The data did not reveal differences between the sampled areas or suggest anthropogenic influence on any of the sampled communities. This work underscores the value of eDNA metabarcoding in assessing cryptic biodiversity.

Indexed as

BiodiversityDNA Barcoding, TaxonomicSnowSoilAntarctic RegionsAnthropogenic EffectsDNA, EnvironmentalSequence Analysis, DNADNA, EnvironmentalSoilcryptic diversityKing George Islandmolecular assessment

Identifiers

PMID42728677
PMCPMC13569865

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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.