Identification of Proteins Present in the Douglas Fir Ovular Secretion: An Insight into Conifer Pollen Selection and Development
Bibliographic record
Abstract
A week before fertilization in Douglas fir, a secretion fills the micropylar chamber of the ovule that houses the engulfed pollen. This liquid initiates pollen tube formation. This secretion is rich in proteins. Proteomic analysis using gel electrophoresis, combined with quadrupole time‐of‐flight tandem mass spectrometry peptide sequencing, identified nine of the more abundant proteins as a 90 kDa xylosidase with an isoelectric point (pI) of 6.6, a 65 kDa xylosidase with a pI of 6.0, a 70 kDa invertase with a pI of 6.3, a 50 kDa invertase with a pI of 6.5, a 45 kDa galactosidase with a pI of 7.8, a 29 kDa galactosidase with a pI of 5.9, a 40 kDa aspartyl protease with a pI of 5.5, a 37 kDa peroxidase with a pI of 7.9, and a 33 kDa serine carboxypeptidase–like protein with a pI of 4.5. This research presents the first evidence that conifer ovular secretion proteins may influence pollen selection and development.
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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) | 0.000 | 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 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".