Seed development, seed germination and seedling growth in the R50 (<b><i>sym16</i></b>) pea mutant are not directly linked to altered cytokinin homeostasis
Bibliographic record
Abstract
R50 (sym16) is a pea nodulation mutant that accumulates cytokinin (CK) in its vegetative organs. Total CK content increases as the plant ages because of the low activity of the enzyme cytokinin oxidase/dehydrogenase (CKX) responsible for CK degradation. R50 exhibits a large seed with high relative water content, and its seedling establishes itself slowly. Whether these two traits are linked to abnormal CK levels was considered here. R50 was found to have a similar germination rate but a much slower epicotyl emergence than Sparkle, its wild-type (WT). At the onset of emergence, the starch grains in R50 cotyledons were larger than those of WT; furthermore, they did not degrade as fast as in WT because of low amylase activity. No differences between the pea lines were observed in the CK forms identified during seed embryogenesis. However, while CK content compared to that of WT was reduced early in R50 embryogenesis, it was elevated later on in its dry seeds where CKX activity was low, although CKX transcript abundance remained high. Transcripts of the two known PsCKX isoforms exhibited tissue- and development-specific profiles with no detectable PsCKX2 expression in cotyledons. There were more of both transcripts in R50 roots than in WT roots, but less of PsCKX2 than PsCKX1 in R50 shoots compared to WT shoots. Thus, although there is a definite CKX post-transcriptional defect in R50 dry seeds, an abnormal CK homeostasis is not the basis of the delay in R50 seedling establishment, which we linked to abnormal amylase activity early in 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 | 0.001 |
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".