Genetic relationships of meadow vole (Microtus pennsylvanicus) populations in central Appalachian wetlands
Bibliographic record
Abstract
We sequenced and compared variation within a 375-base-pair segment of the mitochondrial DNA control region of 323 meadow voles ( Microtus pennsylvanicus (Ord, 1815)) among 14 populations to determine the influence of past and present landscape connectivity among isolated wetlands in the central Appalachian Mountains. To best explain observed differences among sites, we used genetic and landscape-level (GIS) data to test a null hypothesis (no genetic differences) and three alternate explanations of significant variation owing to founder effects, effective population size, or isolation by distance. Sequencing results revealed 16 distinct haplotypes (1–8 haplotypes/site), with two present in samples from most wetlands, and half of the remaining haplotypes concentrated in specific geographic clusters. Our findings best support the explanation that founder effects have influenced current genetic patterns among sites. These founder effects are likely due to historical land-use activities such as exploitative logging (ca. 1880–1920; creating early successional habitats for voles) and subsequent forest regeneration over the past half century; they were also likely influenced by postglacial colonization patterns. Therefore, current genetic diversity in these populations seems to largely reflect the number and source of voles that successfully colonized these isolated wetlands during the window of opportunity immediately following extensive logging.
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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 | 0.001 | 0.001 |
| 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".