Ethylene is involved in the nodulation phenotype of Pisum sativum R50 (sym 16), a pleiotropic mutant that nodulates poorly and has pale green leaves
Bibliographic record
Abstract
R50 is characterized as a pleiotropic pea mutant; it forms few nodules and has short lateral roots, short stature and pale leaves. Using grafting techniques, R50 paleness was found to be controlled by the shoot of the mutant whereas the nodulation phenotype was regulated by its root. The paleness of R50 is due to a lower than normal total chlorophyll content in its young leaves. The defect appears to be overcome with age because, as the plant matures, the chlorophyll levels increase in the older leaves. The reduction in stature is attributed to shorter internodes, and the oldest internodes are thicker than those of the parent Sparkle. Upon rhizobial inoculation, R50 forms as many infection threads as Sparkle. However, most of these are arrested in the inner cortex. The threads appear to have lost their directional growth towards the stele, and they coil around within enlarged cortical cells. In addition, very few infection threads are associated with divisions of the inner cortical cells. These aborted nodule primordia are abnormal, flat and mainly composed of cells which have divided anticlinally only. Nodulation of R50 was restored by treating the roots with ethylene inhibitors. The R50 mutant further supports the postulated role of ethylene in regulating rhizobial infection with a probable role in the control of the primordium 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) | 0.001 | 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".