A Multiplex High-Resolution Melting (HRM) assay to differentiate Fusarium graminearum chemotypes

Abstract Fusarium graminearum is a primary cause of Fusarium head blight (FHB) on wheat and barley. The fungus produces trichothecene mycotoxins that render grain unsuitable for food, feed, or malt. Isolates of F. graminearum can differ in trichothecene production phenotypes (chemotypes), with indiv...

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Main Authors: Lovepreet Singh, Milton T. Drott, Hye-Seon Kim, Robert H. Proctor, Susan P. McCormick, J. Mitch Elmore
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-81131-5
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author Lovepreet Singh
Milton T. Drott
Hye-Seon Kim
Robert H. Proctor
Susan P. McCormick
J. Mitch Elmore
author_facet Lovepreet Singh
Milton T. Drott
Hye-Seon Kim
Robert H. Proctor
Susan P. McCormick
J. Mitch Elmore
author_sort Lovepreet Singh
collection DOAJ
description Abstract Fusarium graminearum is a primary cause of Fusarium head blight (FHB) on wheat and barley. The fungus produces trichothecene mycotoxins that render grain unsuitable for food, feed, or malt. Isolates of F. graminearum can differ in trichothecene production phenotypes (chemotypes), with individuals producing predominantly one of four toxins: 3-acetyldeoxynivalenol, 15-acetyldeoxynivalenol, nivalenol, or NX-2. Molecular tools to diagnose chemotypes remain inefficient. This study aimed to develop a single-tube, multiplex molecular assay that can predict the four F. graminearum chemotypes. Conserved functional regions of three trichothecene biosynthetic genes (TRI1, TRI8, and TRI13) were targeted to develop a high-resolution melting (HRM) assay. Multiplex HRM analysis produced unique melting profiles for each chemotype, and was validated on a panel of 80 isolates. We applied machine learning-based linear discriminant analysis (LDA) to automate the classification of chemotypes from the HRM data, achieving a prediction accuracy of over 99%. The assay is sensitive, with a limit of detection below 0.02 ng of fungal DNA. The HRM analysis also differentiated chemotypes from a small sample of F. gerlachii, F. asiaticum, and F. vorosii isolates. Together, our results demonstrate that this simple, rapid, and accurate assay can be applied to F. graminearum molecular diagnostics and population surveillance programs.
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spelling doaj-art-05a8eea7ed904cdea78646cf2a912c8d2025-01-05T12:26:26ZengNature PortfolioScientific Reports2045-23222024-12-0114111210.1038/s41598-024-81131-5A Multiplex High-Resolution Melting (HRM) assay to differentiate Fusarium graminearum chemotypesLovepreet Singh0Milton T. Drott1Hye-Seon Kim2Robert H. Proctor3Susan P. McCormick4J. Mitch Elmore5Department of Agronomy and Plant Genetics, University of MinnesotaCereal Disease Laboratory, Agricultural Research Service, US Department of AgricultureMycotoxin Prevention and Applied Microbiology, National Center for Agricultural Utilization Research, Agricultural Research Service, US Department of AgricultureMycotoxin Prevention and Applied Microbiology, National Center for Agricultural Utilization Research, Agricultural Research Service, US Department of AgricultureMycotoxin Prevention and Applied Microbiology, National Center for Agricultural Utilization Research, Agricultural Research Service, US Department of AgricultureCereal Disease Laboratory, Agricultural Research Service, US Department of AgricultureAbstract Fusarium graminearum is a primary cause of Fusarium head blight (FHB) on wheat and barley. The fungus produces trichothecene mycotoxins that render grain unsuitable for food, feed, or malt. Isolates of F. graminearum can differ in trichothecene production phenotypes (chemotypes), with individuals producing predominantly one of four toxins: 3-acetyldeoxynivalenol, 15-acetyldeoxynivalenol, nivalenol, or NX-2. Molecular tools to diagnose chemotypes remain inefficient. This study aimed to develop a single-tube, multiplex molecular assay that can predict the four F. graminearum chemotypes. Conserved functional regions of three trichothecene biosynthetic genes (TRI1, TRI8, and TRI13) were targeted to develop a high-resolution melting (HRM) assay. Multiplex HRM analysis produced unique melting profiles for each chemotype, and was validated on a panel of 80 isolates. We applied machine learning-based linear discriminant analysis (LDA) to automate the classification of chemotypes from the HRM data, achieving a prediction accuracy of over 99%. The assay is sensitive, with a limit of detection below 0.02 ng of fungal DNA. The HRM analysis also differentiated chemotypes from a small sample of F. gerlachii, F. asiaticum, and F. vorosii isolates. Together, our results demonstrate that this simple, rapid, and accurate assay can be applied to F. graminearum molecular diagnostics and population surveillance programs.https://doi.org/10.1038/s41598-024-81131-5Fusarium head blightFusarium GraminearumMycotoxinsChemotypeHigh-resolution meltingDiagnostics
spellingShingle Lovepreet Singh
Milton T. Drott
Hye-Seon Kim
Robert H. Proctor
Susan P. McCormick
J. Mitch Elmore
A Multiplex High-Resolution Melting (HRM) assay to differentiate Fusarium graminearum chemotypes
Scientific Reports
Fusarium head blight
Fusarium Graminearum
Mycotoxins
Chemotype
High-resolution melting
Diagnostics
title A Multiplex High-Resolution Melting (HRM) assay to differentiate Fusarium graminearum chemotypes
title_full A Multiplex High-Resolution Melting (HRM) assay to differentiate Fusarium graminearum chemotypes
title_fullStr A Multiplex High-Resolution Melting (HRM) assay to differentiate Fusarium graminearum chemotypes
title_full_unstemmed A Multiplex High-Resolution Melting (HRM) assay to differentiate Fusarium graminearum chemotypes
title_short A Multiplex High-Resolution Melting (HRM) assay to differentiate Fusarium graminearum chemotypes
title_sort multiplex high resolution melting hrm assay to differentiate fusarium graminearum chemotypes
topic Fusarium head blight
Fusarium Graminearum
Mycotoxins
Chemotype
High-resolution melting
Diagnostics
url https://doi.org/10.1038/s41598-024-81131-5
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