Location: Toxicology & Mycotoxin Research
Title: Data and code from: Denitrification genes play minor roles in fumonisin production and virulence in Fusarium verticillioidesAuthor
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OAKLEY, BLAKE - University Of Georgia |
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HIBBS, GARRETT - University Of Georgia |
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Mitchell, Trevor |
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Read, Quentin |
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Gold, Scott |
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Glenn, Anthony |
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Submitted to: Ag Data Commons
Publication Type: Database / Dataset Publication Acceptance Date: 1/16/2026 Publication Date: 1/23/2026 Citation: Oakley, B.A., Hibbs, G.T., Mitchell, T.R., Read, Q.D., Gold, S.E., Glenn, A.E. 2026. Data and code from: Denitrification genes play minor roles in fumonisin production and virulence in Fusarium verticillioides. Ag Data Commons. https://doi.org/10.15482/USDA.ADC/25504900. DOI: https://doi.org/10.15482/USDA.ADC/25504900 Interpretive Summary: This data object includes all the raw data and R statistical software code needed to generate all the results of the associated manuscript, including all summary statistics, tables, and figures. We analyzed the results of a seedling disease and mortality assay that compared the strength of the effect on seedlings by different mutant strains of the Fusarium fungus that were missing different genes involved in the denitrification pathway that Fusarium uses to generate energy without oxygen. Next, we analyzed the results of an assay involving the same strains that measured how much fumonisin, an important toxin, they produced. We used a variety of different statistical models to draw conclusions from the data, which are presented in the manuscript. Technical Abstract: This dataset contains all raw data and statistical software code in R and Stan required to reproduce the results of the associated manuscript. The research goal was to determine whether denitrification affects virulence and/or mycotoxin production in plant pathogenic fungi. Specifically, we explored the effects of denitrification genes in the plant-pathogenic fungus Fusarium verticillioides on the production of the mycotoxin fumonisin and on maize seedling disease symptoms, mortality, and growth parameters. Statistical analyses included Bayesian hurdle Gamma generalized linear mixed models (GLMMs) to compare fumonisin production means between denitrification genotypes, strains, and oxygen levels, and frequentist general linear mixed models, frequentist multinomial logistic GLMMs, and Bayesian logistic GLMMs for seedling growth parameters, disease scores, and mortality/germination, respectively. These findings contribute to our understanding of how denitrification enzymes in F. verticillioides impact virulence and mycotoxin production, with consequences for preventing plant infection and mycotoxin contamination. |
