ArticleMetabolomics : Official journal of the Metabolomic Society2026
The chemical blueprint of Trichoderma for next-generation microbial biostimulants.
Article in Metabolomics : Official journal of the Metabolomic Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
introductionMicrobial biostimulants comprise beneficial microorganisms, such as Bacillus and Trichoderma, that enhance plant growth, nutrient uptake, and stress tolerance through biological mechanisms. The combined use of Bacillus and Trichoderma is increasingly recognised as an important strategy for enhanced crop productivity and sustainable agriculture. However, the compatibility of microorganisms is constrained by their distinct ecological niche and metabolic activities, which may limit the stability of consortia.
objectivesTo characterize the biochemical landscape of Trichoderma strains and evaluate their metabolic compatibility with the Bacillus consortium.
methodsMetabolites were extracted from each Trichoderma strain using LC-MS grade quality methanol. The methanolic extracts were analysed on a UPLC-MS system. Principal component analysis and orthogonal partial least squares discriminant analysis were performed to assess sample clustering and overall metabolic variation among Trichoderma strains. Feature-based molecular networking was used for metabolite annotation of Trichoderma's chemical space. Functional analysis was used to map annotated metabolites in the metabolic pathways of Trichoderma strains.
resultsThe findings revealed distinct metabolic markers, including primary and secondary metabolites. The sphingolipid metabolism was significantly impacted, among others. The in vitro studies revealed a positive interaction with no evidence of antagonism between Trichoderma strains and the Bacillus consortium.
conclusionThe major constraint of biostimulant application is the lack of standardisation in product composition. Therefore, these findings provide insights into the molecular composition and functional dynamics of microbial networks. Such knowledge is crucial and essential for the development of cutting-edge innovations in the field of biostimulants.
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