biostudies-literatureUnknown13Chervin JAgence Nationale de la RechercheEsca disease is one of the most destructive grapevine trunk diseases. <i>Phaeoacremonium minimum</i> and <i>Phaeomoniella chlamydospora</i> are two of the known fungal pathogens associated with this disease. Today, biocontrol agents against Esca are mainly based on the use of the strain of the mycoparasite fungal genus <i>Trichoderma</i> such as the Vintec^® product. The aim of this study was to investigate early response of woody tissues to Esca pathogens and identify metabolites that could be correlated with a biocontrol activity within a complex woody matrix. An untargeted liquid chromatography-high-resolution mass spectrometry metabolomic approach coupled to a spectral similarity network was used to highlight clusters of compounds associated with the plant response to pathogeFrontiers in microbiology835463https://www.ebi.ac.uk/biostudies/studies/S-EPMC8924477biostudies-literatureModification of Early Response of <i>Vitis vinifera</i> to Pathogens Relating to Esca Disease and Biocontrol Agent Vintec^® Revealed By Untargeted Metabolomics on Woody Tissues.PMC8924477Chervin JRomeo-Olivan AMarti GJacques APuech-Pages VFournier SDumas BfalseModification of Early Response of <i>Vitis vinifera</i> to Pathogens Relating to Esca Disease and Biocontrol Agent Vintec^® Revealed By Untargeted Metabolomics on Woody Tissues.Esca disease is one of the most destructive grapevine trunk diseases. <i>Phaeoacremonium minimum</i> and <i>Phaeomoniella chlamydospora</i> are two of the known fungal pathogens associated with this disease. Today, biocontrol agents against Esca are mainly based on the use of the strain of the mycoparasite fungal genus <i>Trichoderma</i> such as the Vintec^® product. The aim of this study was to investigate early response of woody tissues to Esca pathogens and identify metabolites that could be correlated with a biocontrol activity within a complex woody matrix. An untargeted liquid chromatography-high-resolution mass spectrometry metabolomic approach coupled to a spectral similarity network was used to highlight clusters of compounds associated with the plant response to pathoge2022-01-01T00:00:00Z20222025-04-26T19:06:24.247Z2025-04-06T15:57:43.09ZS-EPMC89244773530840210.3389/fmicb.2022.835463