Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Microbiol.

Sec. Microbe and Virus Interactions with Plants

Fusarium verticillioides genetics contribute to variability in Fumonisin Risk in maize

Provisionally accepted
  • 1Mycotoxin Prevention and Applied Microbiology Research, National Center for Agricultural Utilization Research, Agricultural Research Service (USDA), Peoria, United States
  • 2USDA-ARS Southern Regional Research Center, New Orleans, United States

The final, formatted version of the article will be published soon.

Fusarium verticillioides is a major fungal pathogen of maize and a primary cause of contamination of kernels with fumonisins—mycotoxins that threaten food safety and animal health. This study examined the influence of genetic diversity of F. verticillioides on the development of a fumonisin risk index. To do this, the effect of temperature (10 – 40 °C) on growth as assessed by ergosterol levels and fumonisin production in the fungus was assessed by liquid chromatography-mass spectrometry analysis, and the resulting data were subjected to a battery of analyses, including least squares means, Baranyi and Ratkowsky analyses. Although there was considerable variation among strains, the general trend was that growth of F. verticillioides occurred over a broader range of temperatures (15–35 °C) than fumonisin production (optimal at 20–30 °C). Growth and production were positively correlated (R² = 0.524 overall; R² = 0.78 at 30 °C), although the strength of this relationship varied with temperature. Production of the four major B-series fumonisin analogs (FB1 – FB4) varied among strains, but for all strains the ratio of FB1 to FB2 tended to increase with increasing temperature. These results demonstrate that fumonisin risk is shaped by a complex interplay of strain genetics and environmental conditions. The strain-dependent differences in growth kinetics, toxin production, and analog composition underscore the need for risk indices that integrate both environmental and genetic parameters to improve predictive models for mycotoxin contamination and targeted strategies to limit contamination during maize production and storage.

Keywords: disease modelling, Fumonisins, Fusarium verticillioides, Maize, Mycotoxins, risk index

Received: 26 Sep 2025; Accepted: 09 Feb 2026.

Copyright: © 2026 Opoku, Busman, Castano-Duque, Proctor, Kim and Vaughan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Joseph Opoku

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.