Specific Detection and Identification of <i>Fusarium graminearum</i> Sensu Stricto Using a PCR-RFLP Tool and Specific Primers Targeting the Translational Elongation Factor 1α Gene
Bibliographic record
Abstract
Fusarium graminearum is a toxigenic plant pathogen that causes Fusarium head blight (FHB) disease on cereal crops. It has recently shown to have cross-pathogenicity on noncereals (i.e., Fusarium root rot [FRR] on soybean) in Canada and elsewhere. Specific detection and differentiation of this potent toxigenic, trichothecene-producing pathogen among other closely related species is extremely important for disease control and mycotoxin monitoring. Here, we designed a PCR restriction fragment length polymorphism protocol based on the DNA sequence of the translational elongation factor 1α (TEF1α) gene. A unique restriction site to the enzyme HpaII is only found in F. graminearum sensu stricto strains among different Fusarium strains in the F. graminearum species complex (FGSC) and other Fusarium spp. associated with FHB in cereals and FRR in soybean. Partial amplification of the TEF1α gene with newly designed primers mh1/mh2 generated a 459-bp PCR fragment. Restriction digestion of the generated fragments with the HpaII enzyme generated a unique restriction pattern that can rapidly and accurately differentiate F. graminearum sensu stricto among all other Fusarium spp. A primer pair (FgssF/FgssR) specific to F. graminearum sensu stricto also was designed and can distinguish F. graminearum sensu stricto from all other Fusarium spp. in the FGSC and other closely related Fusarium spp. involved in FHB and FRR. This finding will be very useful for the specific detection of F. graminearum sensu stricto for diagnostic purposes as well as for the accurate detection of this pathogen in breeding and other research purposes.
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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".