Population genomics reveals the genetic diversity and evolution of the sexual dimorphism of Temminck’s tragopan (Tragopan temminckii)
Bibliographic record
Abstract
Abstract Recent advances in whole-genome sequencing technologies have shown potential for establishing a genomic-level evolutionary process framework for avian species. In this study, a comprehensive whole-genome resequencing approach was employed to generate genome-wide data from 12 individuals of Temminck’s tragopan ( Tragopan temminckii ), a species under imminent threat and experiencing rapid decline due to habitat fragmentation and loss in China. Population genomic analyses indicated significant genetic diversity and increased linkage disequilibrium in Temminck’s tragopan, despite habitat fragmentation. It was further suggested that the historical population dynamics of Temminck’s tragopan from the western Sichuan Plateau was influenced by glacial climatic events and anthropogenic activities. Furthermore, male-specific developmental pathways, particularly those related to the androgen receptor and associated genes, were found to contribute to the observed sexual dimorphism in Temminck’s tragopan. These findings establish a preliminary basis for comprehending the evolutionary dynamics of Temminck’s tragopan.
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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 | 0.000 | 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".