Auxin Gradients Determine Reproductive Development in Pea ( <scp> <i>Pisum sativum</i> </scp> )
Bibliographic record
Abstract
Auxins are involved in the regulation of fruit set and development; however, the role of IAA is unclear in pea (Pisum sativum) since the endogenous auxin 4-Cl-IAA appears to be the auxin stimulating ovary (pericarp) growth. To further understand the role of auxins during fruit development, auxin localization, quantitation, transport, and gene expression activity were assessed in this model legume species. IAA levels and auxin activity (DR5::β-Glucuronidase [GUS] staining and enzyme activity) were substantially reduced in the pericarp vascular tissues, pedicels, and peduncles of fruit upon seed removal, reflecting auxin transport streams derived from the seeds through these tissues. Seed removal modified auxin response factor PsARF7/19, PsARF8, and PsARF5 transcript levels in the pericarp and attachment tissues in a manner suggesting tissue-specific regulation of their expression by auxin and ethylene. Pericarp application of polar auxin transport inhibitor N-1-naphthylphthalamic acid (NPA) increased auxin (DR5::GUS staining/enzyme) activity within pericarps of seeded, but not deseeded fruits, and NPA application to the peduncle modified IAA levels and DR5::GUS staining/enzyme activity, suggesting polar auxin transport from the seeds to surrounding tissues. However, the NPA application did not induce parthenocarpic fruit growth as in other model species. These data support that in pea, auxin is transported from the seeds to adjacent tissues at least partially through NPA-sensitive pathways, that seed-derived IAA plays a role in maintaining auxin gradients through the pericarp and attachment tissues likely for establishing the seed as a major sink, and that auxin and ethylene pathways interact to determine the fate of fruit 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".