Environmentally induced phenotypes and DNA methylation: how to deal with unpredictable conditions until the next generation and after
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Organisms often respond to environmental changes by producing alternative phenotypes. Epigenetic processes such as DNA methylation may contribute to environmentally induced phenotypic variation by modifying gene expression. Changes in DNA methylation, unlike DNA mutations, can be influenced by the environment; they are stable at the time scale of an individual and present different levels of heritability. These characteristics make DNA methylation a potentially important molecular process to respond to environmental change. The aim of this review is to present the implications of DNA methylation on phenotypic variations driven by environmental changes. More specifically, we explore epigenetic concepts concerning phenotypic change in response to the environment and heritability of DNA methylation, namely the Baldwin effect and genetic accommodation. Before addressing this point, we report major differences in DNA methylation across taxa and the role of this modification in producing and maintaining environmentally induced phenotypic variation. We also present the different methods allowing the detection of methylation polymorphism. We believe this review will be helpful to molecular ecologists, in that it highlights the importance of epigenetic processes in ecological and evolutionary studies.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it