Anti-Insect Secondary Metabolites from Fungal Endophytes of Conifer Trees
Bibliographic record
Abstract
Choristoneura fumiferana is the most economically-important insect pest in eastern North America. Historically, strategies to control epidemics have relied on chemical pesticides that are no longer approved for use. The presence of fungal endophytes in cool area grass species and their role in reducing the impact of herbivorous insects is well understood. Recent work has demonstrated that foliar endophytes of conifers also produce anti-insect toxins. Field and nursery studies testing trees infected with the rugulosin producing endophyte Phialocephala scopiformis reduced the growth and development of C. fumiferana. The study of foliar endophytes from a variety of conifers including: Picea mariana, P. rubens and P. glauca as well as Abies balsamea and Larix laricina for the discovery of other anti-insect toxins are discussed. These endophytes are horizontally transmitted thus they are not present in nursery seedlings. Inoculating seedlings with toxigenic endophyte strains has been demonstrated to be effective in providing the tree with tolerance to herbivorous insects.
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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 | 0.000 | 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) | 0.001 | 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".