Evidence map›Paper›PMID 40696431›Full record

ArticleFungal biology and biotechnology2025

Strain and contact-dependent metabolomic reprogramming reveals distinct interaction strategies between Laccaria bicolor and Trichoderma.

Prasath Balaji Sivaprakasam Padmanaban, Pia Stange, Baris Weber, Andrea Ghirardo, Karin Pritsch, Tanja Karl, J Philipp Benz, Maaria Rosenkranz, Jörg-Peter Schnitzler

Abstract read
In one paragraph

Article in Fungal biology and biotechnology, 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

9 authors.

Prasath Balaji Sivaprakasam PadmanabanResearch Unit Environmental Simulation (EUS), Helmholtz Munich, Neuherberg, Germany.
Pia StangeProfessorship Fungal Biotechnology in Wood Science, Wood Research Munich, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Baris WeberResearch Unit Environmental Simulation (EUS), Helmholtz Munich, Neuherberg, Germany.
Andrea GhirardoResearch Unit Environmental Simulation (EUS), Helmholtz Munich, Neuherberg, Germany.
Karin PritschResearch Unit Environmental Simulation (EUS), Helmholtz Munich, Neuherberg, Germany.
Tanja KarlProfessorship Fungal Biotechnology in Wood Science, Wood Research Munich, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
J Philipp BenzProfessorship Fungal Biotechnology in Wood Science, Wood Research Munich, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Maaria RosenkranzResearch Unit Environmental Simulation (EUS), Helmholtz Munich, Neuherberg, Germany. maaria.rosenkranz@biologie.uni-regensburg.de.
Jörg-Peter SchnitzlerResearch Unit Environmental Simulation (EUS), Helmholtz Munich, Neuherberg, Germany.

Funding

Deutsche Forschungsgemeinschaft BE 6069/4-1Deutsche Forschungsgemeinschaft RO 6311/4-1
6 · The paper itself

Abstract

The genus Trichoderma (Hypocreaceae, Ascomycota) compromises over 400 known species, that are found in various soils, on plant surfaces and as plant endophytes. Interactions between the mycoparasitic Trichoderma spp. and beneficial ectomycorrhizal fungi such as Laccaria bicolor (Hydnangiaceae, Basidiomycota) can influence the structure of fungal communities and plant symbioses. In this study, we conducted in vitro dual-culture experiments involving L. bicolor and four Trichoderma strains (T. harzianum WM24a1, MS8a1, ES8g1, and T. atrobrunneum) to analyze their metabolic responses in relation to varying degrees of physical contact. Using integrated analyses of volatile organic compounds (VOCs), hyphal metabolomes, and secreted exudates, we uncovered strong contact- and strain-dependent growth inhibition patterns: Trichoderma growth was suppressed under shared headspace, whereas L. bicolor was more strongly inhibited under direct contact. Metabolomic profiling revealed distinct and strain-specific alterations in both VOC and soluble metabolite profiles during co-cultivation, with hundreds of discriminant mass features affected. Key metabolic pathways, including amino acid, carbohydrate, lipid, and secondary metabolite biosynthesis, showed differential enrichment depending on the interaction stage and fungal partner. These results demonstrate that Trichoderma-Laccaria interactions are mediated by dynamic, contact-specific chemical reprogramming and suggest that fungal recognition and competition involve coordinated changes in both volatile and non-volatile metabolite production. Our findings provide a foundation for exploring how such antagonistic interactions may influence tripartite communication in plant-associated microbial networks. They also highlight the potential role of both emitted and secreted fungal metabolites in shaping interaction dynamics through putative non-self-recognition mechanisms.

Indexed as

Bio-control agentFungal communicationHyphal compositionMetabolomicsMycorrhizaVolatile organic compounds (VOCs)

Identifiers

PMID40696431
PMCPMC12285104

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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.