The influence of mitochondria in epigenetics revealed through naturally occurring fish cybrids
Bibliographic record
Abstract
Abstract Epigenetic processes are important mechanisms for phenotypic changes that occur in response to the environment. As such, it is expected that the alteration of cytoplasmic composition (the immediate environment of nuclei) results in the modification of the methylome and the expression of the nuclear genome. Cytoplasmic hybrids (or cybrids) are an ideal model to study the influence of mitochondria on gene expression. In this study, we take advantage of the natural co-occurrence of two biotypes that have a similar nuclear genome type Chrosomus eos, but harbor mitochondria from different species (C. eos in wild type or C. neogaeus in cybrids) to assess the effects of mitochondria on DNA methylation profiles and protein expression of the nuclear genome. Comparison between these biotypes is particularly relevant given their recent divergence and their low level of genetic differentiation. Variations of DNA methylation assessed on tissues from different embryonic origins revealed the distinct profiles of cybrid and wild type populations. Differences are more pronounced between wild type and cybrids than between populations of a given biotype. The proteome is also more different between biotypes than within a given biotype. These results indicate a strong influence of mitochondria on the nuclear genome, which remains detectable in different genetic and environmental contexts. These changes in the methylome and proteome of cybrids are expected to reflect the adjustments imposed by the coexistence of nuclear and mitochondrial genomes from different species.
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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".