Evidence map›Paper›PMID 41142052›Full record

ArticleISME communications2025

Strong pairwise interactions do not drive interactions in a plant leaf associated microbial community.

Franziska Höhn, Vasvi Chaudhry, Caner Bağci, Maryam Mahmoudi, Elke Klenk, Lara Berg, Paolo Stincone, Chambers C Hughes, Daniel Petras, Heike Brötz-Oesterhelt and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ISME communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Cooperative siderophore use stabilizes a protective leaf microbiome.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
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

12 authors.

Franziska HöhnTranslational Genome Mining for Natural Products, Interfaculty Institute of Microbiology and Infection Medicine and Institute for Bioinformatics and Medical Informatics, University of Tübingen, 72076 Tübingen, Germany.
Vasvi ChaudhryCenter for Plant Molecular Biology, Interfaculty Institute of Microbiology and Infection Medicine, University of Tübingen, 72076 Tübingen, Germany.
Caner BağciTranslational Genome Mining for Natural Products, Interfaculty Institute of Microbiology and Infection Medicine and Institute for Bioinformatics and Medical Informatics, University of Tübingen, 72076 Tübingen, Germany.
Maryam MahmoudiCenter for Plant Molecular Biology, Interfaculty Institute of Microbiology and Infection Medicine, University of Tübingen, 72076 Tübingen, Germany.
Elke KlenkCluster of Excellence Controlling Microbes to Fight Infections, University of Tübingen, 72076 Tübingen, Germany.
Lara BergTranslational Genome Mining for Natural Products, Interfaculty Institute of Microbiology and Infection Medicine and Institute for Bioinformatics and Medical Informatics, University of Tübingen, 72076 Tübingen, Germany.
Paolo StinconeCluster of Excellence Controlling Microbes to Fight Infections, University of Tübingen, 72076 Tübingen, Germany.
Chambers C HughesCluster of Excellence Controlling Microbes to Fight Infections, University of Tübingen, 72076 Tübingen, Germany.
Daniel PetrasCluster of Excellence Controlling Microbes to Fight Infections, University of Tübingen, 72076 Tübingen, Germany.
Heike Brötz-OesterheltCluster of Excellence Controlling Microbes to Fight Infections, University of Tübingen, 72076 Tübingen, Germany.
Eric KemenCluster of Excellence Controlling Microbes to Fight Infections, University of Tübingen, 72076 Tübingen, Germany.
Nadine ZiemertTranslational Genome Mining for Natural Products, Interfaculty Institute of Microbiology and Infection Medicine and Institute for Bioinformatics and Medical Informatics, University of Tübingen, 72076 Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial communities that promote plant growth show promise in reducing the impacts of climate change on plant health and productivity. Understanding microbe-microbe interactions in a community context is paramount for designing effective microbial consortia that enhance plant resilience. In this study, we investigated the dynamics of a synthetic microbial community (SynCom) assembled from

Indexed as

Arabidopsis thalianacorrelation networksmicrobe–microbe interactionsplant leaf microbiomespseudobactinpyoverdinessecondary metabolitessynthetic communities

Identifiers

PMID41142052
PMCPMC12551452

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.