Temporal Wheat Proteome Remodeling by Deoxynivalenol Reveals Novel Detoxification Signatures and Strategies Across Cultivars
Bibliographic record
Abstract
Fusarium head blight (FHB) is a globally devastating fungal disease resulting in reduced grain yield and quality, along with contamination of grains with dangerous mycotoxins. Consumption of such mycotoxins through processed food or livestock feed has downstream implications for human and animal health. This interconnectivity across the environment, animal, and human health defines the One Health problem of threatened food safety and security. In this study, we explore remodeling of the wheat proteome upon exposure to a common mycotoxin, deoxynivalenol (DON). We investigate cultivar-specific responses to DON exposure in FHB-susceptible (Norwell) and -resistant (Sumai#3) cultivars across a continuum of exposure (i.e., 24 and 120 h post inoculation) and upon low (i.e., 0.1 mg/ml) and high (1.0 mg/ml) levels of the mycotoxin. This complex experimental design enables us to tease apart the dynamic relationship between each cultivar and DON tolerance. Specifically, we define precise proteins and broad categories of remodeling that are common (i.e., reduction in photosynthesis) and exclusive (i.e., glycosyltransferase) to the cultivars and align with anticipated protective mechanisms. Moreover, we adapted an in vitro DON tolerance expression system and determined that induction of an ubiquinol oxidase (UniProt ID: A0A3B6B5K8) provides heightened protection for yeast growth relative to the negative control as well as increased protection compared to a well-defined DON detoxifying protein. Our study suggests a new avenue for the identification and characterization of novel DON detoxifying proteins as putative biomarkers for selected breeding strategies. Such strategies support the production of wheat varieties with increased tolerance to DON for improved global food safety and security.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".