Comparative mapping of <i>Homo sapiens</i> chromosome 4 (HSA4) and <i>Sus scrofa</i> chromosome 8 (SSC8) using orthologous genes representing different cytogenetic bands as landmarks
Bibliographic record
Abstract
The recently published draft sequence of the human genome will provide a basic reference for the comparative mapping of genomes among mammals. In this study, we selected 214 genes with complete coding sequences on Homo sapiens chromosome 4 (HSA4) to search for orthologs and expressed sequence tag (EST) sequences in eight other mammalian species (cattle, pig, sheep, goat, horse, dog, cat, and rabbit). In particular, 46 of these genes were used as landmarks for comparative mapping of HSA4 and Sus scrofa chromosome 8 (SSC8); most of HSA4 is homologous to SSC8, which is of particular interest because of its association with genes affecting the reproductive performance of pigs. As a reference framework, the 46 genes were selected to represent different cytogenetic bands on HSA4. Polymerase chain reaction (PCR) products amplified from pig DNA were directly sequenced and their orthologous status was confirmed by a BLAST search. These 46 genes, plus 11 microsatellite markers for SSC8, were typed against DNA from a pig-mouse radiation hybrid (RH) panel with 110 lines. RHMAP analysis assigned these 57 markers to 3 linkage groups in the porcine genome, 52 to SSC8, 4 to SSC15, and 1 to SSC17. By comparing the order and orientation of orthologous landmark genes on the porcine RH maps with those on the human sequence map, HSA4 was recognized as being split into nine conserved segments with respect to the porcine genome, seven with SSC8, one with SSC15, and one with SSC17. With 41 orthologous gene loci mapped, this report provides the largest functional gene map of SSC8, with 30 of these loci representing new single-gene assignments to SSC8.
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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) | 0.002 | 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".