Centromere localization in medaka fish based on half-tetrad analysis
Bibliographic record
Abstract
Gene-centromere (G-C) mapping provides insight into vertebrate genome composition, structure and evolution. Although medaka fish are important experimental animals, no genome-wide G-C map of medaka has been constructed. In this study, we used 112 interspecific triploid hybrids and 152 DNA markers to make G-C maps of all 24 linkage groups (LGs). Under the assumption of 50% interference, 24 centromeres were localized onto all corresponding medaka LGs. Comparison with 21 centromere positions deduced from putative centromeric repeats revealed that 19 were localized inside the centromeric regions of the G-C maps, whereas two were not. Based on the centromere positions indicated in the G-C maps and those of centromeric repeats on each LG, we classified chromosomes as either biarmed or monoarmed; n = 24 = 10 metacentrics/submetacentrics + 14 subtelocentrics/acrocentrics, which is consistent with the results of previous karyological reports. This study helps to elucidate genome evolution mechanisms, and integrates physical and genetic maps with karyological information of medaka.
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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 | 0.001 | 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".