Adaptive phenotypic plasticity in timing of metamorphosis in the common frog Rana temporaria
Bibliographic record
Abstract
Unpredictable environments are expected to select for adaptive plasticity in traits enabling adjustment of phenotype to prevailing environmental conditions. Common frogs (Rana temporaria) breed frequently in ponds, which dry up before the aquatic larvae have metamorphosed, and consequently, plasticity in timing of metamorphosis in response to pond drying could be adaptive. We investigated the responses of half- and full-sib R. temporaria larvae to simulated pond drying in a factorial experiment to test whether there is adaptive phenotypic plasticity in timing of metamorphosis, and whether this plasticity is genetically determined. As expected under the adaptive hypothesis, we found that larvae exposed to the decreasing water treatment metamorphosed significantly faster than their sibs in the constant water treatments. Furthermore, age and size at metamorphosis were positively correlated in the constant water treatments, but negatively correlated in the decreasing water treatment. However, larvae from decreasing water treatment metamorphosed, on average, at a smaller size as compared to larvae from the constant water treatments, even after controlling for variation in developmental time. Since smaller size at metamorphosis is likely to be related to reduced fitness, this indicates that faster development may trade off with other components of fitness. The results further show that the amount of food received during the four first days of development influenced age and size at metamorphosis, reinforcing the view that early life nutrition may have a significant impact on later life fitness. Although there was a genetic component to developmental rates, we found no evidence for genetic variation in plasticity. In accordance with evidence from other studies, our results suggest existence of adaptive phenotypic plasticity in amphibian development.
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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 | 0.001 |
| 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".