Phylogeography and conservation genetics of the Columbia spotted frog (<i>Rana luteiventris;</i> Amphibia, Ranidae)
Bibliographic record
Abstract
The Columbia spotted frog (Rana luteiventris) has a widespread distribution in western Canada and the western US, although the southern reach of its range is highly fragmented into several isolated populations. Threats from various factors have raised concerns regarding the long-term survival of many small, isolated populations. Here, we report a study designed to determine the phylogeographic and conservation genetic parameters of R. luteiventris in the western US. Mitochondrial DNA (mtDNA) sequences were examined for phylogeographic structuring using phylogenetic reconstruction methods, coupled with networking and nested clade analyses. These methods permitted a distinction to be made between historic and demographic forces acting to generate geographical patterning of genetic variation. Phylogenetic analysis revealed four geographically correlated monophyletic clades. Three of these clades correspond to well-defined, nonoverlapping geographical locations in the fragmented portion of the range. The other is comprised of all samples collected from the contiguous range and includes one isolate from northern Wyoming. Networking and nested clade analyses confirmed these results and revealed that historical processes, such as range expansion and vicariance, rather than recurrent gene flow are likely responsible for observed patterns of genetic variation. A measure of genetic variation (theta = 4N(e)mu) revealed that R. luteiventris populations in Utah have a relatively low amount of genetic variation compared with populations in the continuous portion of the range.
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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 | 0.001 | 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) | 0.000 | 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 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".