Chemical, morphological, and genetic characterization of the floral scent and scent‐releasing structures of <i>Gynandropsis gynandra</i> (Cleomaceae, Brassicales)
Why this work is in the frame
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Bibliographic record
Abstract
Flowering plants showcase a remarkable diversity in floral fragrances, colours, and structures, which function harmoniously as signals to attract and guide pollinators. Like visual signals, the scents emitted by flowers can be associated with the attraction of specific pollinator classes. As such, divergence in floral scent composition can be a key isolation mechanism for speciation. Between continents, the leafy vegetable Gynandropsis gynandra possesses differences in morphology, phenology, foliar chemodiversity, and pollinators. Importantly, G. gynandra is pollinated by hawkmoths in Africa, and bees and butterflies in Asia. Here, we combined chemical, morphological, and transcriptome analyses to assess differences in the floral scent and scent-releasing structures between African and Asian G. gynandra accessions, and within flowers of the same accession. The prevalence of nitriles and benzenoids in the floral fragrance of the African and Asian accessions, respectively, corresponds to features typically associated with their differing pollinator classes. Further, we uncovered differences in floral epidermal cell morphology, with papillae present on the petal claws and nectary of the African accession and absent (or reduced) for the Asian accession. Through transcriptomic analyses, we showed that the stalk-like floral structures are putatively involved in terpenoid biosynthesis and emission. However, the epidermal cell morphology and staining suggests that the petals, stamens, and stigma may be involved in scent production of other floral volatile classes (e.g., nitrogen-containing compounds). These additional phytochemical and morphological distinctions between African and Asian accessions suggest that the divergent forms of G. gynandra may merit taxonomic recognition at subspecies level.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it