Molecular Phylogenetic Analysis, Trichothecene Chemotype Patterns, and Variation in Aggressiveness of <i>Fusarium</i> Isolates Causing Head Blight in Wheat
Bibliographic record
Abstract
Certain Fusarium species cause Fusarium head blight (FHB) in wheat and other small grains. Differences in characteristics of the pathogen species/isolates used in breeding programs may affect reaction of host genotypes, leading to erroneous results. To clarify differences among Fusarium isolates from different geographical zones, the phylogenetic, chemotypic, and pathogenic abilities of 58 isolates collected from three wheat-producing countries (Canada, Mexico, and Iran) were investigated. Phylogenetic relationships among the isolates were characterized using the Tri101 gene sequence. All Canadian and Iranian isolates clustered in one group and were identified as F. graminearum lineage 7 (=F. graminearum sensu stricto) within the F. graminearum (Fg) clade. The isolates from Mexico were identified as either F. graminearum lineage 3 (=Fusarium boothii) within the Fg clade or Fusarium crookwellense. A polymerase chain reaction assay based on the Tri12 gene identified three trichothecene chemotypes of 15-ADON, 3- ADON, and NIV, with 15-ADON being the most common. All F. boothii isolates from Mexico were of the 15-ADON chemotype, while all F. crookwellense isolates were determined to be NIV producers. While we did not find the NIV chemotype among the Canadian isolates, 25.6% of the Iranian isolates were determined to be NIV producers. High level of variation in aggressiveness was also observed among and within the species tested: F. graminearum sensu stricto isolates were the most aggressive, followed by those of F. boothii, and lastly by F. crookwellense. The differences observed among the isolates may explain why wheat lines/cultivars demonstrate different reactions to FHB in different geographical zones.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".