Abundant genetic diversity and maternal origins of modern horses
Bibliographic record
Abstract
To clarify the origin and genetic diversity of modern horses, mitochondrial DNA (mtDNA) D-loop sequences were generated for 3965 horses from 12 geographical regions. From these sequences, we observed 439 haplotypes defined by 138 polymorphic nucleotide sites. All horses were genetically diverse (HD = 0.973 ± 0.001, π = 0.0243 ± 0.0005), which showed that maternal lineages of the domestic horse are worldwide highly diverse. In general, all 18 haplogroups were presented in the Asian horse. The majority of modern horse sequences belong to haplogroups L, Q, and A. At the same time, 194 archaeological samples from four geographical regions were obtained. Indeed, haplogroup distributions are overlapping in modern and ancient samples, indicating that most haplogroups were already present in ancient times at least in Europe and Asia. The network showed that breeds of Asian and Europe regions overlapped, suggesting that extensive gene flow had occurred between different horse breeds in Asian and European regions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".