Pan-Genome Analysis of Capra: Revealing the Core and Variable Genomes Shaping Goat Evolution
Bibliographic record
Abstract
This study examined the genomic data of wild goats and several domestic goat breeds, taking into account their classification and domestication history. The functions of the core genome and the variable genome were described, and their value in the study of goat evolution and domestication was discussed. The research results show that the core genome stably supports basic life functions, while the variable genome carries many sequence changes related to environmental adaptation and human selection. These changes include gene loss and structural variations formed during domestication, as well as adaptive genes that adapt to different ecological environments. Pan-genome analysis highlights the role of genomic structural changes in the formation of domesticated traits, providing a new perspective for the genetic diversity and breeding potential of goats. This study also compared the pan-genomes of goats with those of other livestock such as pigs, cattle and sheep, thereby providing broader insights into cross-species evolution. At the same time, the technical limitations and future directions of pan-genome research were also discussed, including the use and protection methods of multi-omics data. The goat pan-genome not only enhances the understanding of goat history and adaptability, but also provides useful genetic tools for the breeding and conservation of endangered populations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".