Evidence map›Paper›PMID 40290873›Full record

ArticleiScience2025

Genomic evidence of symbiotic adaptations in fungus-associated bacteria.

Daniyal Gohar, Kadri Põldmaa, Mari Pent, Saleh Rahimlou, Klara Cerk, Duncan Y K Ng, Falk Hildebrand, Mo Bahram

Abstract read
In one paragraph

Article in iScience, 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. 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

8 authors.

Daniyal GoharInstitute of Ecology and Earth Sciences, University of Tartu, J. Liivi St. 2, 50409 Tartu, Estonia.
Kadri PõldmaaInstitute of Ecology and Earth Sciences, University of Tartu, J. Liivi St. 2, 50409 Tartu, Estonia.
Mari PentInstitute of Ecology and Earth Sciences, University of Tartu, J. Liivi St. 2, 50409 Tartu, Estonia.
Saleh RahimlouDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.
Klara CerkGut Microbes & Health, Quadram Institute Bioscience, Norwich Research Park, Norwich, NR4 7UQ Norfolk, UK.
Duncan Y K NgGut Microbes & Health, Quadram Institute Bioscience, Norwich Research Park, Norwich, NR4 7UQ Norfolk, UK.
Falk HildebrandGut Microbes & Health, Quadram Institute Bioscience, Norwich Research Park, Norwich, NR4 7UQ Norfolk, UK.
Mo BahramDepartment of Agroecology, Aarhus University, Forsøgsvej 1, 4200 Slagelse, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungi harbor diverse bacteria that engage in various relationships. While these relationships potentially influence fungal functioning, their underlying genetic mechanisms remain unexplored. Here, we aimed to elucidate the key genomic features of fungus-associated bacteria (FaB) by comparing 163 FaB genomes to 1,048 bacterial genomes from other hosts and habitats. Our analyses revealed several distinctive genomic features of FaB. We found that FaB are enriched in carbohydrate transport/metabolism- and motility-related genes, suggesting an adaptation for utilizing complex fungal carbon sources. They are also enriched in genes targeting fungal biomass, likely reflecting their role in recycling and rebuilding fungal structures. Additionally, FaB associated with plant-mutualistic fungi possess a wider array of carbon-acquisition enzymes specific to fungal and plant substrates compared to those residing with saprotrophic fungi. These unique genomic features highlight FaB' potential as key players in fungal nutrient acquisition and decomposition, ultimately influencing plant-fungal symbiosis and ecosystem functioning.

Indexed as

GenomicsMicrobial genomicsMicrobial metabolismMicrobiologyMycology

Identifiers

PMID40290873
PMCPMC12023794

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.