A major gene for resistance to carbendazim, in field isolates of<i>Gibberella zeae</i>
Bibliographic record
Abstract
Isolates of Gibberella zeae were collected from wheat fields at two sites in China. A total of 56 isolates were characterized for their ability to grow on the potato sucrose agar amended with various concentrations of carbendazim. Three sensitivity levels were identified among the isolates tested: sensitive (S) isolates could grow at 0.5 μg·mL−1, but were completely inhibited at 1.4 μg·mL−1 ; moderately resistant (MR) isolates grew quickly at 1.4 μg·mL−1, slowly at 50 μg·mL−1, and were completely inhibited at 100 μg·mL−1 ; highly resistant (HR) isolates were slightly inhibited at 50 μg·mL−1, but only partially inhibited at 100 μg·mL−1. Six isolates representing the three sensitivity level phenotypes were randomly selected for a study on the inheritance of carbendazim resistance by analyzing the sensitivity of hybrid F1 progeny. The nitrate nonutilizing mutant (nit) was used as a genetic marker to confirm that individual perithecia were the result of out-crossing. Five cross were assessed: S × S, MR × S, MR × MR, HR × S, and HR × MR. In crosses between the parents with different sensitivity levels, i.e., MR × S, HR × S, HR × MR, the progeny fit a 1:1 segregation ratio of the two parental phenotypes. No segregation was observed in the crosses of S × S and MR × MR. We conclude that the MR and HR phenotypes in G. zeae are conferred by different allelic mutations within the same locus. In these isolates, resistance to carbendazim was not affected by modifying genes or cytoplasmic components.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".