Evidence map›Paper›PMID 34346741›Full record

ArticleMicrobiology spectrum2021

Can We Estimate Functionality of Soil Microbial Communities from Structure-Derived Predictions? A Reality Test in Agricultural Soils.

Claudia Breitkreuz, Anna Heintz-Buschart, François Buscot, Sara Fareed Mohamed Wahdan, Mika Tarkka, Thomas Reitz

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

9 citing papers in PubMed, 32 citations in OpenAlex.

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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 at 1 institution in 1 country.

Claudia BreitkreuzDepartment of Soil Ecology, UFZ-Helmholtz Centre for Environmental Research, Halle, Germany.ORCID 0000-0003-1317-4942
Anna Heintz-BuschartDepartment of Soil Ecology, UFZ-Helmholtz Centre for Environmental Research, Halle, Germany.
François BuscotDepartment of Soil Ecology, UFZ-Helmholtz Centre for Environmental Research, Halle, Germany.
Sara Fareed Mohamed WahdanDepartment of Soil Ecology, UFZ-Helmholtz Centre for Environmental Research, Halle, Germany.
Mika TarkkaDepartment of Soil Ecology, UFZ-Helmholtz Centre for Environmental Research, Halle, Germany.
Thomas ReitzDepartment of Soil Ecology, UFZ-Helmholtz Centre for Environmental Research, Halle, Germany.
Helmholtz Centre for Environmental Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational approaches that link bacterial 16S rRNA gene amplicon data to functional genes based on prokaryotic reference genomes have emerged. This study aims to validate or refute the applicability of the functional gene prediction tools for assessment and comparison of community functionality among experimental treatments, inducing either fast or slow responses in rhizosphere microbial community composition and function. Rhizosphere samples of wheat and barley were collected in two consecutive years at active and mature growth phases from organic and conventional farming plots with ambient or future-climate treatments of the Global Change Experimental Facility. Bacterial community composition was determined by 16S rRNA gene amplicon sequencing, and the activities of five extracellular enzymes involved in carbon (β-glucosidases, cellobiohydrolase, and xylosidase), nitrogen (

Indexed as

MicrobiotaSoil MicrobiologyAgricultureBacteriaCarbonDNA, BacterialNitrogenRNA, Ribosomal, 16SSoilCarbonDNA, BacterialNitrogenRNA, Ribosomal, 16SSoilagriculturebacterial communitiesbarleyclimate changeenzymesGCEFPanFPTax4Funwheat

Identifiers

PMID34346741
PMCPMC8552701
OpenAlexW3190758788

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.