Transgenerational plasticity affects fitness and mediates local adaptation
Bibliographic record
Abstract
Abstract Transgenerational plasticity (TGP) could be as decisive of a factor in phenotypic outcomes as allelic variation and within-generation plasticity. While TGP is often associated with priming offspring to stress in stable environments (where offspring and grandparents are likely to experience similar stresses), our results suggest that TGP is locally adaptive for offspring when grandparents are exposed to environments that match historical conditions, regardless of the offspring’s environment. Specifically, we find that Mimulus cardinalis populations from historically wet environments exhibit adaptive TGP in grand-offspring, via increased male and female fitness, only when grandparents experience wet treatments, while TGP is maladaptive when these grandparents experience dry treatments. In contrast, populations from historically dry environments show the opposite. Furthermore, we find that TGP can have a greater effect on both male and female fitness than allelic differences and within-generation plasticity. Our results indicate an additional way that phenotypes arise through local adaption and sheds light on the potential for how rapid evolution might occur.
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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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".