Evidence map›Paper›PMID 35523988›Full record

ArticleScientific reports2022

Microbial community functioning during plant litter decomposition.

Simon A Schroeter, Damien Eveillard, Samuel Chaffron, Johanna Zoppi, Bernd Kampe, Patrick Lohmann, Nico Jehmlich, Martin von Bergen, Carlos Sanchez-Arcos, Georg Pohnert and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 47 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

13 authors at 7 institutions in 2 countries.

Simon A SchroeterMax Planck Institute for Biogeochemistry, Jena, Germany.
Damien EveillardNantes Université, CNRS UMR 6004, LS2N, F-44000, Nantes, France.
Samuel ChaffronNantes Université, CNRS UMR 6004, LS2N, F-44000, Nantes, France.
Johanna ZoppiNantes Université, CNRS UMR 6004, LS2N, F-44000, Nantes, France.
Bernd KampeJena University Language & Information Engineering (JULIE) Lab, Friedrich Schiller University Jena, Jena, Germany.
Patrick LohmannDepartment of Molecular Systems Biology, Helmholtz Centre for Environmental Research - UFZ GmbH, Leipzig, Germany.
Nico JehmlichDepartment of Molecular Systems Biology, Helmholtz Centre for Environmental Research - UFZ GmbH, Leipzig, Germany.
Martin von BergenDepartment of Molecular Systems Biology, Helmholtz Centre for Environmental Research - UFZ GmbH, Leipzig, Germany.
Carlos Sanchez-ArcosInstitute of Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Jena, Germany.
Georg PohnertInstitute of Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Jena, Germany.
Martin TaubertInstitute of Biodiversity, Friedrich Schiller University Jena, Jena, Germany.
Kirsten KüselInstitute of Biodiversity, Friedrich Schiller University Jena, Jena, Germany.
Gerd GleixnerMax Planck Institute for Biogeochemistry, Jena, Germany. gerd.gleixner@bgc-jena.mpg.de.
Centre National de la Recherche Scientifique · FRHelmholtz Centre for Environmental Research · DEFriedrich Schiller University Jena · DEMax Planck Institute for Biogeochemistry · DEGerman Centre for Integrative Biodiversity Research · DEMax Planck Institute for Chemical Ecology · DEUniversity of Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial life in soil is fueled by dissolved organic matter (DOM) that leaches from the litter layer. It is well known that decomposer communities adapt to the available litter source, but it remains unclear if they functionally compete or synergistically address different litter types. Therefore, we decomposed beech, oak, pine and grass litter from two geologically distinct sites in a lab-scale decomposition experiment. We performed a correlative network analysis on the results of direct infusion HR-MS DOM analysis and cross-validated functional predictions from 16S rRNA gene amplicon sequencing and with DOM and metaproteomic analyses. Here we show that many functions are redundantly distributed within decomposer communities and that their relative expression is rapidly optimized to address litter-specific properties. However, community changes are likely forced by antagonistic mechanisms as we identified several natural antibiotics in DOM. As a consequence, the decomposer community is specializing towards the litter source and the state of decomposition (community divergence) but showing similar litter metabolomes (metabolome convergence). Our multi-omics-based results highlight that DOM not only fuels microbial life, but it additionally holds meta-metabolomic information on the functioning of ecosystems.

Indexed as

EcosystemMicrobiotaDissolved Organic MatterPlant LeavesPlantsRNA, Ribosomal, 16SSoilSoil MicrobiologyDissolved Organic MatterRNA, Ribosomal, 16SSoil

Identifiers

PMID35523988
PMCPMC9076648
OpenAlexW4229078435

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.