Testing historical phylogeographic inferences with contemporary gene flow data: population genetic structure of the Qinghai toad‐headed lizard
Bibliographic record
Abstract
Abstract Using data from 11 microsatellite DNA loci and a population genetic approach, the phylogeographic patterns of the Qinghai toad‐headed lizard Phrynocephalus vlangalii revealed by mitochondrial DNA (mtDNA) were tested and the congruence between the nuclear and mitochondrial genes was examined. Both analysis of molecular variance (AMOVA) and BARRIER analyses suggested that the Arjin and the A'nyemaqen Mountains were significant genetic barriers to contemporary gene flow of the P. vlangalii populations. On the other hand, the Qaidam populations, where no major mountains are present, showed a weak but significant isolation by distance pattern. The patterns of population genetic structure were largely congruent with the phylogeographic patterns inferred from the mtDNA, and therefore, supported the hypothesis that the uplift of the Arjin and the A'nyemaqen Mountains caused the initial vicariant events that led to the formation of the diverged lineages within P. vlangalii . The only major difference between the mtDNA and nuclear DNA (nuDNA) results was the allocation of variance to different hierarchical levels in AMOVA. While the among group component, which were defined by mountains, accounted for most of the mitochondrial variance (81.73%), most of the nuDNA variance was at the among individuals within population level (83.69%). Differences in effective population sizes, social structure and male/female dispersal patterns might have contributed to the discrepancy.
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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".