Light irradiance differentially regulates endogenous levels of cytokinins and auxin in alpine and prairie genotypes of <i>Stellaria longipes</i>
Bibliographic record
Abstract
The growth patterns of plants from alpine (sun) and prairie (shade) ecotypes of Stellaria longipes in response to change in light irradiance was investigated and involvement of cytokinins (CKs), auxin (IAA) and abscisic acid (ABA) was studied to examine the mechanism behind phenotypic plasticity of these plants in response to light signalling. Low light irradiance induced shoot growth in plants of both ecotypes, but IAA levels were higher in plants from alpine, but not prairie ecotype. Dynamics of CK profiles in response to changing photosynthetically active radiation were quite different between ecotypes and changes were more pronounced in the plants of alpine ecotype, where opposite patterns in CK accumulation between low and normal light irradiances were observed. The plants of both ecotypes showed similar trends in ABA levels under low light irradiance. Thus, the highly plastic plants of prairie ecotype may have evolved mechanisms to control the growth in response to reduced light irradiance without major alterations in the levels of CKs or IAA. These results demonstrate that within species, plants from open habitats show less growth response to reduced light irradiance than plants from shaded habitats.
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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 | 0.001 |
| 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".