Construction and analysis of a SSH cDNA library of <i>Eucalyptus grandis</i> × <i>Eucalyptus urophylla</i> 9224 induced by <i>Cylindrocladium quinqueseptatum</i>
Bibliographic record
Abstract
Leaf blight caused by Cylindrocladium quinqueseptatum Boedijn & Reitsma is a major disease occurring in Eucalyptus plantlets and saplings worldwide. Current studies on the resistance to this disease in eucalypti have focused primarily on analyzing the relationship between the disease and the metabolic products from the anatomic structure of Eucalyptus leaves and their physiological responses to pathogen invasion. There have been no reports on the mechanisms of molecular responses. Previous research suggests that Eucalyptus grandis × Eucalyptus urophylla 9224 is the highest resistant cultivar among the 11 ones planted in Fujian Province. Therefore, in this study, the molecular responses of E. grandis × E. urophylla 9224 to C. quinqueseptatum were investigated by means of suppression subtractive hybridization (SSH). In total, 928 clones were obtained from the forward SSH cDNA library of E. grandis × E. urophylla 9224, and 25 up-regulated genes were identified by screening the library using the method of reverse northern hybridization. The results show that among these, 23 up-regulated genes with known functions were involved in signal transduction, plant resistance response, photosynthesis, energy transfer, protein metabolism, and plant growth.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".