Diversity of leaf secretory structures in five Neotropical genera of Primulaceae: ecological aspects and evolutionary significance
Bibliographic record
Abstract
Many species of Primulaceae have chemical or medicinal importance, directly related to the presence of an important set of secretory structures distributed throughout the entire plant. Such structures are not only relevant in a pharmaceutical context, but also for taxonomic, systematic, and evolutionary studies within the family. Despite this, studies of the secretory structures in Primulaceae are still scarce. In this context, we aimed to identify and classify the diversity of secretory structures on the leaves of five Neotropical Primulaceae genera belonging to the Myrsinoideae and Theophrastoideae subfamilies, using light, confocal, and epifluorescence microscopy analysis. The species we studied had a diversity of secretory structures: mucilaginous and phenolic-content idioblasts, glandular trichomes, hydathodes, and secretory cavities/ducts. The development of secretory cavities and trichomes is asynchronous and begins before tissue and leaf maturation. Secretory cavities derive from a ground meristem cell and follow a schizogenous mode of development. The chemical nature of the secretion is diverse and varies according to the type of secretory structure and among species. Here, we hypothesize that both peltate glandular trichomes and secretory cavities may be considered a synapomorphy for Primulaceae. Moreover, we suggest that environmental factors have shaped the diversification of function of the secretory structures found in Primulaceae.
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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 | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".