Cloning, characterization and physical mapping of three cervid satellite DNA families in the genome of the Formosan muntjac <i>(Muntiacus reevesi micrurus)</i>
Bibliographic record
Abstract
Due to their high sequence diversity even among closely related species, satellite DNA sequences can be a useful molecular marker for phylogenetic and taxonomic analyses. To characterize the satellite DNA in the genome of a native muntjac species of Taiwan, the Formosan muntjac, satellite DNA clones representing three different cervid satellite DNA families from this species were isolated and analyzed. Genomic organization study of these satellite DNAs was also undertaken. Three Formosan muntjac satellite DNA clones were obtained and designated as FM-satI (1,391 bp), FM-satII (1,143 bp) and FM-satIV (1,103 bp), and found to share approximately 82, 81 and 98% sequence homology with the Chinese muntjac satellite I clone (C5), Indian muntjac satellite II clone (Mmv-0.7) and Chinese muntjac satellite IV clone (MR-1.0), respectively. These three satellite DNA families are organized in a pter<--FM-satII-FM-satIV-FM-satI-->qter orientation in the centromeric region with satII closely associated with the telomeric sequences. Satellite DNA sequence comparison, in combination with chromosome data concludes that the Formosan muntjac is likely a subspecies of M. reevesi, closely related to the Chinese muntjac. With the kinetochore satellite II DNA co-localizing with the telomeric sequences, the Formosan muntjac chromosomes could be truly telocentric.
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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".