Molecular sexing reveals ontogenetic shifts in sex ratios and underlying processes in a dioecious tree species
Bibliographic record
Abstract
Most dioecious plants are trees. However, because of the difficulty in determining sex from vegetative morphology, previous investigations of the sex ratios of dioecious trees were limited to flowering individuals, leading to inadequate and potentially unreliable data on patterns of sex ratios and the underlying mechanisms driving their variation. Here, we applied sex-specific molecular markers to investigate the sex ratio of a fully mapped population of the dioecious tree Diospyros morrisiana (Ebenaceae) in a subtropical forest. We also investigated the sexual dimorphism of life-history traits and spatial association between male and female trees to determine potential processes shaping the sex ratio at different life stages. Molecular sexing revealed a female-biased population sex ratio for this D. morrisiana population, contrasting with the male-biased operational (i.e., flowering) sex ratio. The sex ratio of D. morrisiana shifted from female-biased to male-biased over older life stages. We found that reproduction had a larger impact on the growth of female trees, which may account for the ontogenetic shift in sex ratio. There was no evidence of spatial segregation of the sexes beyond a scale of 2 m. Through molecular sexing of all individuals across all life stages, our work revealed for the first time a shift from a female- to a male-biased sex ratio in a huge population of a dioecious tree species. To better understand variation in sex ratios and the underlying mechanisms in dioecious trees, the sex of non-flowering and juvenile individuals should be included in future studies.
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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 | 0.001 | 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".