Parental exposure of the freshwater snail <i>Planorbella pilsbryi</i> to copper results in transgenerational effects in offspring
Bibliographic record
Abstract
Although not assessed in standard ecotoxicological tests, exposure to a toxicant that does not result in an observable adverse effect in the parents may lead to transgenerational effects. These are adverse effects observed in unexposed offspring as a result of their parents' exposure to a toxicant. The goal of this study was to investigate whether transgenerational effects are observed in freshwater snails exposed to a toxicant. Using copper (Cu) as a reference toxicant, this study investigated whether the magnitude of exposure to the parents of the freshwater snail Planorbella pilsbryi resulted in a change in sensitivity of juvenile snails to a subsequent aqueous exposure of Cu. This study also investigated whether transgenerational effects observed in juvenile snails born to exposed parents would change if the parents laid eggs after being given time to recover from their exposure to Cu. Juvenile snails born to parents that were exposed to Cu without being given time to recover had no change in their sensitivity to Cu exposure or in some cases they became less sensitive. This study also observed that when parents were given time to recover from the Cu exposure, juvenile snails tended to be more sensitive to a subsequent Cu exposure, that is, decrease in median lethal concentrations for juveniles with an increase adult exposure. This study demonstrates that exposure of parent snails to a toxicant does not necessarily result in a consistent and significant change in sensitivity of the offspring to the same toxicant.
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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".