High Diversity and Low Genetic Differentiation Among Geographic Populations of Myotis yumanensis in Western Canada
Bibliographic record
Abstract
Myotis yumanensis is a small insectivorous bat distributed in Western North America and is susceptible to white-nose syndrome, a devastating fungal disease. Effective management of the disease in M. yumanensis requires an understanding of its population structure to identify possible routes and barriers of disease transmission. Here we used nine microsatellite loci to investigate genetic variation among 336 M. yumanensis from 10 locations in Western Canada. Our analyses revealed high genetic diversity and low but statistically significant genetic differentiation among several geographic populations. Interestingly, though geographically it was not the most distant, the Lillooet population showed the highest genetic differentiation from others, suggesting factors other than geographic distance also contributed to gene flow in this species. While white-nose syndrome has been reported in M. yumanensis populations in neighbouring Washington State in the United States of America, as of 2023, the causative pathogen was not detected on the wings of our analyzed 336 M. yumanensis bats in Western Canada. However, continuing monitoring is required to provide the most updated information about the white-nose syndrome status in these populations. The knowledge of M. yumanensis population structure in Western Canada will help develop effective management strategies for protecting this bat species from white-nose syndrome.
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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".