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Revisiting the PCR-Based Molecular Approaches for Mycotoxigenic Fusarium Species Detection and Quantification in Wheat

  • Kavitha Vijeandran
  • , Alexey Larionov
  • , Carla Cervini
  • , Katrina Campbell
  • , Sean Walkowiak
  • , Matias Pasquali
  • , Florence Richard-Forget
  • , Neil Brown
  • , Lindy Joy Rose
  • , Carol Verheecke-Vaessen
  • Cranfield University
  • Queen's University Belfast
  • University of Cambridge
  • Canadian Grain Commission’s Grain Research Laboratory
  • University of Milan
  • Institute for Agriculture, Food and Environment
  • Stellenbosch University

Research output: Contribution to journal › Review article › peer-review

Abstract

Fusarium species cause yield losses in wheat production through fusarium head blight (FHB) and the associated contamination of regulated mycotoxins, such as trichothecenes and zearalenone. Despite the widespread use of PCR-based molecular approaches for Fusarium detection, quantification, and chemotyping, most primers were developed prior to both modern phylogenetic reclassification and the availability of high-quality genome assemblies, leaving their specificity and robustness largely untested. Existing PCR- and qPCR-based assays for Fusarium detection in wheat were reviewed and re-evaluated in silico using a curated genome panel. Of 53 species-specific primer pairs, 14 (26.4%) achieved high-specificity grades (A–B), whereas 25 (47.2%) were lower performing (D–E), mainly due to cross-reactivity or inconsistent target amplification. Chemotype assays targeting TRI and ZEN genes showed stronger agreement with reported chemotypes, especially for informative TRI loci such as Tri3, Tri7, and Tri12. To support improved qPCR assay design and reporting, we propose FusaMIQE, a Fusarium-adapted framework based on MIQE 2.0 guidelines, tailored to the specific challenges of Fusarium diagnostics in wheat. Together, this manuscript provides the first in silico assessment of PCR/qPCR primers as diagnostic tools for FHB pathogens and associated recommendations for good practice (FusaMIQE) of Fusarium diagnostics in wheat.

Original languageEnglish
Article numbere70612
Number of pages26
JournalComprehensive Reviews in Food Science and Food Safety
Volume25
Issue number5
DOIs
Publication statusPublished - 30 Sept 2026

Data Availability Statement

The in silico analysis Fusarium amplicon finder Python script and data generated in this study are publicly available at: https://github.com/kavithavijeandran/fusarium_amplicon_finder

Funding

This work was supported by the FoodBioSystems Doctoral Training Partnership (DTRP), funded by the Biotechnology and Biological Sciences Research Council (BBSRC) under grant number BB/T008776/1.

Keywords

  • applied mycology
  • bioinformatics
  • Fusarium genomic resources
  • fusarium head blight
  • molecular tests
  • polymerase chain reaction
  • trichothecene
  • zearalenone

ASJC Scopus subject areas

  • Food Science

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