Maternal ploidy shapes reproductive pathways in the triploid hybrid <i>Chrosomus eos</i> × <i>eos‐neogaeus</i>
Bibliographic record
Abstract
Elements transferred from a mother to her eggs may strongly influence the phenotype of her offspring. Such maternal effects depend on the genotype of the mother, and while multiple ploidy levels occur naturally in some vertebrate species, studies evaluating the impact of maternal ploidy on offspring are scarce. This paper aimed to test whether maternal ploidy is responsible for the two reproductive phenotypes observed in the triploid fish Chrosomus eos × eos-neogaeus. Indeed, these hybrids have two different maternal origins (diploid or triploid) and display two reproductive phenotypes, ameiotic and meiotic hybridogenesis, resulting in diploid and haploid eggs, respectively. To this end, we first conducted a genomic survey to identify epigenetic variations in triploid larvae reared under common garden conditions, concordantly with their maternal origin. The results revealed that the polymorphic epigenetic loci of the larvae clustered into two highly distinct groups consistently with the ploidy of their mother. Diagnostic epigenetic loci were then tested in triploid adult females whose reproductive pathways were already known, to infer their own maternal origin. Altogether, the results suggest that triploid larvae from diploid and triploid mothers will develop the ameiotic and meiotic hybridogenesis pathway, respectively. This confirms that the development of a given reproductive pathway in triploid females results from the ploidy of their mother. Overall, this study supports a strong maternal effect, introducing maternal ploidy and reproductive pathways as additional cause and effect of maternal effects, respectively.
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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) | 0.002 | 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".