Dissecting Trichoderma antagonism: Role of strain identity, volatiles, biomass, and morphology in suppressing cacao pathogens

Cacao farming worldwide suffers from damaging fungal infections, including those caused by Colletotrichum gloeosporioides and Pestalotiopsis spp., which prioritizes the development of sustainable control solutions. This study evaluated the in vitro antagonistic potential of three Trichoderma strains...

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Main Authors: Insuck Baek, Jishnu Bhatt, Jae Hee Jang, Seunghyun Lim, Amelia Lovelace, Minhyeok Cha, Dilip Lakshman, Moon S. Kim, Lyndel W. Meinhardt, Sunchung Park, Ezekiel Ahn
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Biological Control
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Online Access:http://www.sciencedirect.com/science/article/pii/S1049964425001173
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author Insuck Baek
Jishnu Bhatt
Jae Hee Jang
Seunghyun Lim
Amelia Lovelace
Minhyeok Cha
Dilip Lakshman
Moon S. Kim
Lyndel W. Meinhardt
Sunchung Park
Ezekiel Ahn
author_facet Insuck Baek
Jishnu Bhatt
Jae Hee Jang
Seunghyun Lim
Amelia Lovelace
Minhyeok Cha
Dilip Lakshman
Moon S. Kim
Lyndel W. Meinhardt
Sunchung Park
Ezekiel Ahn
author_sort Insuck Baek
collection DOAJ
description Cacao farming worldwide suffers from damaging fungal infections, including those caused by Colletotrichum gloeosporioides and Pestalotiopsis spp., which prioritizes the development of sustainable control solutions. This study evaluated the in vitro antagonistic potential of three Trichoderma strains (T. virens 11C-65-1, T. virens 29-8, Trichoderma spp. RC) against six cacao pathogen isolates from Ghana. Dual culture assays, detailed morphological analysis of both antagonist and pathogen, volatile organic compound (VOC) assays (comparing standard plug vs. pre-grown biomass methods), and the effect of UVC pretreatment were investigated. Multivariate statistics and machine learning were employed to analyze interaction dynamics and predict outcomes. All tested Trichoderma strains significantly inhibited pathogen growth, with efficacy varying notably: 11C-65-1 > RC > 29-8. Significant morphological changes were observed in both interacting fungi. Machine learning models predicted pathogen colony size with high accuracy (test set R2 up to 0.94), identifying the specific Trichoderma-pathogen pair identity and Trichoderma circularity as the most crucial predictors. VOCs contributed to inhibition, and using a larger Trichoderma biomass drastically increased antagonistic effects, likely through combined VOC action and physical interaction. UVC pretreatment induced statistically significant but minimal morphological changes under the tested conditions. Multivariate analyses linked Trichoderma strain identity strongly with the resulting circularity of both antagonist and pathogen. Key takeaways from this research are the pronounced strain specificity governing Trichoderma antagonism, the indication of multiple active mechanisms, the relevance of morphology in these fungal battles, and the identification of T. virens 11C-65-1 as a strong prospect for biocontrol application against cacao pathogens, offering a data-driven approach for selecting effective biocontrol agents in other agricultural systems.
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spelling doaj-art-54fc3fcb9ff44c1e8fe62a46b6e2c6072025-08-20T03:16:39ZengElsevierBiological Control1049-96442025-08-0120710580710.1016/j.biocontrol.2025.105807Dissecting Trichoderma antagonism: Role of strain identity, volatiles, biomass, and morphology in suppressing cacao pathogensInsuck Baek0Jishnu Bhatt1Jae Hee Jang2Seunghyun Lim3Amelia Lovelace4Minhyeok Cha5Dilip Lakshman6Moon S. Kim7Lyndel W. Meinhardt8Sunchung Park9Ezekiel Ahn10Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States, Department of Agriculture, Beltsville, MD 20705, USASustainable Perennial Crops Laboratory, Agricultural Research Service, United States, Department of Agriculture, Beltsville, MD 20705, USASustainable Perennial Crops Laboratory, Agricultural Research Service, United States, Department of Agriculture, Beltsville, MD 20705, USASustainable Perennial Crops Laboratory, Agricultural Research Service, United States, Department of Agriculture, Beltsville, MD 20705, USASustainable Perennial Crops Laboratory, Agricultural Research Service, United States, Department of Agriculture, Beltsville, MD 20705, USAEnvironmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States, Department of Agriculture, Beltsville, MD 20705, USAMolecular Plant Pathology Laboratory, Agricultural Research Service, United States, Department of Agriculture, Beltsville, MD 20705, USAEnvironmental Microbial and Food Safety Laboratory, Agricultural Research Service, United States, Department of Agriculture, Beltsville, MD 20705, USASustainable Perennial Crops Laboratory, Agricultural Research Service, United States, Department of Agriculture, Beltsville, MD 20705, USASustainable Perennial Crops Laboratory, Agricultural Research Service, United States, Department of Agriculture, Beltsville, MD 20705, USASustainable Perennial Crops Laboratory, Agricultural Research Service, United States, Department of Agriculture, Beltsville, MD 20705, USA; Corresponding author.Cacao farming worldwide suffers from damaging fungal infections, including those caused by Colletotrichum gloeosporioides and Pestalotiopsis spp., which prioritizes the development of sustainable control solutions. This study evaluated the in vitro antagonistic potential of three Trichoderma strains (T. virens 11C-65-1, T. virens 29-8, Trichoderma spp. RC) against six cacao pathogen isolates from Ghana. Dual culture assays, detailed morphological analysis of both antagonist and pathogen, volatile organic compound (VOC) assays (comparing standard plug vs. pre-grown biomass methods), and the effect of UVC pretreatment were investigated. Multivariate statistics and machine learning were employed to analyze interaction dynamics and predict outcomes. All tested Trichoderma strains significantly inhibited pathogen growth, with efficacy varying notably: 11C-65-1 > RC > 29-8. Significant morphological changes were observed in both interacting fungi. Machine learning models predicted pathogen colony size with high accuracy (test set R2 up to 0.94), identifying the specific Trichoderma-pathogen pair identity and Trichoderma circularity as the most crucial predictors. VOCs contributed to inhibition, and using a larger Trichoderma biomass drastically increased antagonistic effects, likely through combined VOC action and physical interaction. UVC pretreatment induced statistically significant but minimal morphological changes under the tested conditions. Multivariate analyses linked Trichoderma strain identity strongly with the resulting circularity of both antagonist and pathogen. Key takeaways from this research are the pronounced strain specificity governing Trichoderma antagonism, the indication of multiple active mechanisms, the relevance of morphology in these fungal battles, and the identification of T. virens 11C-65-1 as a strong prospect for biocontrol application against cacao pathogens, offering a data-driven approach for selecting effective biocontrol agents in other agricultural systems.http://www.sciencedirect.com/science/article/pii/S1049964425001173CacaoColletotrichum gloeosporioidesTrichoderma spp.Biological controlFungal morphologyStrain specificity
spellingShingle Insuck Baek
Jishnu Bhatt
Jae Hee Jang
Seunghyun Lim
Amelia Lovelace
Minhyeok Cha
Dilip Lakshman
Moon S. Kim
Lyndel W. Meinhardt
Sunchung Park
Ezekiel Ahn
Dissecting Trichoderma antagonism: Role of strain identity, volatiles, biomass, and morphology in suppressing cacao pathogens
Biological Control
Cacao
Colletotrichum gloeosporioides
Trichoderma spp.
Biological control
Fungal morphology
Strain specificity
title Dissecting Trichoderma antagonism: Role of strain identity, volatiles, biomass, and morphology in suppressing cacao pathogens
title_full Dissecting Trichoderma antagonism: Role of strain identity, volatiles, biomass, and morphology in suppressing cacao pathogens
title_fullStr Dissecting Trichoderma antagonism: Role of strain identity, volatiles, biomass, and morphology in suppressing cacao pathogens
title_full_unstemmed Dissecting Trichoderma antagonism: Role of strain identity, volatiles, biomass, and morphology in suppressing cacao pathogens
title_short Dissecting Trichoderma antagonism: Role of strain identity, volatiles, biomass, and morphology in suppressing cacao pathogens
title_sort dissecting trichoderma antagonism role of strain identity volatiles biomass and morphology in suppressing cacao pathogens
topic Cacao
Colletotrichum gloeosporioides
Trichoderma spp.
Biological control
Fungal morphology
Strain specificity
url http://www.sciencedirect.com/science/article/pii/S1049964425001173
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