Analysis of expressed sequence tags derived from pea leaves infected by <i>Peronospora viciae</i> f. sp. <i>pisi</i>
Bibliographic record
Abstract
Abstract A cDNA library was constructed from field pea leaves infected by the downy mildew pathogen, Peronospora viciae f. sp. pisi, using a suppression subtractive hybridisation approach. The library consists of 399 expressed sequence tags, from which 207 unisequences were obtained after sequence assembly. Of the unisequences, six were shown to be of Peronospora viciae f. sp. pisi origin. The remaining unisequences were subjected to gene ontology analysis and their functions were predicted in silico. Eleven of these unisequences (representing 24 clones) shared significant sequence similarities with Arabidopsis genes known to be involved in downy mildew resistance, including the well‐characterised genes RPP5, RPP6 and RPP27. Expression analysis of five selected unisequences by real‐time PCR indicated that all five were up‐regulated during downy mildew pathogenesis, suggesting a significant role for these genes in the host response to downy mildew infection.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".