Population genetics of <i>Salvator merianae</i> (Reptilia, Teiidae) in its southernmost distribution
Bibliographic record
Abstract
The black and white tegu ( Salvator merianae Duméril and Bibron, 1839) is the most widespread lizard species in the southern part of South America. This is an important species as a natural resource, traditionally used for food and traded as leather and pets, and this intensive exploitation can be important for regional economies in their range. We analyzed their genetic diversity, structure, and mating system in Argentina using the mitochondrial ND4 locus and 10 microsatellite loci. We hypothesized low genetic diversity, high levels of interpopulation structure, and multiple paternal contribution to clutches. Our results support our hypotheses, detecting two divergent mitochondrial haplogroups, low levels of allelic diversity and low to medium population structure values using microsatellites, and that S. merianae is both polygynous and has multiple paternal contributions to the clutches we analyzed. These results are informative for the on-going sustainable use-based management of S. merianae, ensuring the sustainability of its commercially exploited populations and the habitats on which they depend.
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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 | 0.000 | 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) | 0.001 | 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".