Effects of bisphenol-A and folic acid on growth, reproductive development, and DNA methylation in snapdragons (<i>Antirrhinum majus</i>)
Bibliographic record
Abstract
Bisphenol-A (BPA), used in the production of polycarbonate plastics, exerts complex effects on the development of organisms and on their epigenomes as a methylation disruptor. BPA is of concern due to its ubiquity in the environment. In contrast, folic acid can promote plant growth and has been shown to correct the methyl-disrupting effects of BPA in mice. We investigated the effects of prolonged exposure to BPA and folic acid on plant height, dry mass, and DNA methylation of floral tissues of Antirrhinum majus L. (snapdragons) from seedling to floral senescence. At low and medium concentrations (5 and 25 mg/L), BPA had a growth-promoting effect early in development and appeared to accelerate floral development compared with the controls. At senescence, plants treated with the low and medium concentrations of BPA had decreased dry mass compared with the controls. Folic acid promoted growth early through mid-vegetative development and also promoted early flowering. In general, the acceleration of floral development associated with the low concentration of BPA and folic acid correlated with higher DNA methylation percentages. These data suggest that prolonged exposure to BPA influences plant growth and floral development, and causes epigenetic modifications that may potentially be alleviated through the application of folic acid, thus suggesting the significance of folic acid for environmental protection.
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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".