Evidence map›Paper›PMID 35705309›Full record

ArticleMicrobes and environments2022

Antarctic Hairgrass Rhizosphere Microbiomes: Microscale Effects Shape Diversity, Structure, and Function.

Ievgeniia Prekrasna, Mariia Pavlovska, Natalia Miryuta, Artem Dzhulai, Evgen Dykyi, Peter Convey, Iryna Kozeretska, Tymur Bedernichek, Ivan Parnikoza

Abstract read
In one paragraph

Article in Microbes and environments, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

9 authors.

Ievgeniia PrekrasnaState Institution National Antarctic Scientific Center.
Mariia PavlovskaState Institution National Antarctic Scientific Center.
Natalia MiryutaState Institution National Antarctic Scientific Center.
Artem DzhulaiState Institution National Antarctic Scientific Center.
Evgen DykyiState Institution National Antarctic Scientific Center.
Peter ConveyBritish Antarctic Survey, NERC.
Iryna KozeretskaState Institution National Antarctic Scientific Center.
Tymur BedernichekM.M. Gryshko National Botanical Garden.
Ivan ParnikozaState Institution National Antarctic Scientific Center.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rhizosphere microbiome of the native Antarctic hairgrass Deschampsia antarctica from the central maritime Antarctic was investigated using 16S RNA metagenomics and compared to those of the second native Antarctic plant Colobanthus quitensis and closely related temperate D. cespitosa. The rhizosphere microbial communities of D. antarctica and D. cespitosa had high taxon richness, while that of C. quitensis had markedly lower diversity. The majority of bacteria in the rhizosphere communities of the hairgrass were affiliated to Proteobacteria, Bacteroidetes, and Actinobacteria. The rhizosphere of C. quitensis was dominated by Actinobacteria. All microbial communities included high proportions of unique amplicon sequence variants (ASVs) and there was high heterogeneity between samples at the ASV level. The soil parameters examined did not explain this heterogeneity. Bacteria belonging to Actinobacteria, Bacteroidetes, and Proteobacteria were sensitive to fluctuations in the soil surface temperature. The values of the United Soil Surface Temperature Influence Index (UTII, I

Indexed as

ActinobacteriaMicrobiotaAntarctic RegionsBacteriaLigninProteobacteriaRhizosphereRNA, Ribosomal, 16SSoilSoil MicrobiologyLigninRNA, Ribosomal, 16SSoilAntarctic vascular plantsmicrobial diversitymicrobial functional repertoirerhizosphere microbiome

Identifiers

PMID35705309
PMCPMC9530728

What OpenQuestion holds

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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.