Evidence map›Paper›PMID 35369523›Full record

ArticleFrontiers in microbiology2022

Biological Soil Crust From Mesic Forests Promote a Specific Bacteria Community.

Karin Glaser, Martin Albrecht, Karen Baumann, Jörg Overmann, Johannes Sikorski

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 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
5.2field-weighted citation impact, top 5% 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

5 citing papers in PubMed, 15 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

5 authors at 3 institutions in 1 country.

Karin GlaserApplied Ecology and Phycology, Institute for Biological Sciences, University of Rostock, Rostock, Germany.
Martin AlbrechtApplied Ecology and Phycology, Institute for Biological Sciences, University of Rostock, Rostock, Germany.
Karen BaumannDepartment of Soil Science, Faculty of Agricultural and Environmental Science, University of Rostock, Rostock, Germany.
Jörg OvermannDepartment of Microbiology, Faculty of Life Sciences, Technische Universität Braunschweig, Braunschweig, Germany.
Johannes SikorskiLeibniz-Institute DSMZ, German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany.
University of Rostock · DELeibniz Institute DSMZ – German Collection of Microorganisms and Cell Cultures · DETechnische Universität Braunschweig · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological soil crusts (biocrusts) harbor a diverse community of various microorganisms with microalgae as primary producers and bacteria living in close association. In mesic regions, biocrusts emerge rapidly on disturbed surface soil in forest, typically after clear-cut or windfall. It is unclear whether the bacterial community in biocrusts is similar to the community of the surrounding soil or if biocrust formation promotes a specific bacterial community. Also, many of the interactions between bacteria and algae in biocrusts are largely unknown. Through high-throughput-sequencing analysis of the bacterial community composition, correlated drivers, and the interpretation of biological interactions in a biocrust of a forest ecosystem, we show that the bacterial community in the biocrust represents a subset of the community of the neighboring soil. Bacterial families connected with degradation of large carbon molecules, like cellulose and chitin, and the bacterivore

Indexed as

biodiversitybiofilmsbiological soil crustsforest soilmicrobial interactionterrestrial algae

Identifiers

PMID35369523
PMCPMC8966483
OpenAlexW4220815798

What OpenQuestion holds

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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.