Comparative genomic analysis of the whale (<i>Pseudorca crassidens</i>) <i>PRNP</i> locus
Bibliographic record
Abstract
There have been many studies of the morphology, behavioral audiograms, and population structure of the false killer whale (Pseudorca crassidens), but sequencing, mapping, and functional and comparative genomics studies are still largely unknown. In this paper, we sequenced three novel BAC clones corresponding to a total length of 308 kb and spanning the PRNP, PRND, and RASSF2 loci, and conducted comparative genomic analysis to examine the genomic structure of the false killer whale PRNP locus. We determined that the three genes show a high degree of conservation in their syntenic regions with respect to gene order, gene orientation, and the predicted coding sequence (CDS) between human and whale, whereas PRNT was not detected in whale. Interestingly, the predicted CDS in whale PRNP contained a novel type of 4-copy octarepeat resulting from a 24 bp deletion when compared with the human sequence. In addition, we identified a novel 1869 bp repeat unit in a region that is non-syntenic to human and cow sequences and is therefore considered to be whale-specific sequence. Our results will provide novel insights into the genomic changes that have occurred during evolution of mammalian PRNP loci, and may also have implications for research into prion disease.
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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".