Fungi on white-nose infected bats (<i>Myotis</i> spp.) in Eastern Canada show no decline in diversity associated with <i>Pseudogymnoascus destructans</i> (Ascomycota: Pseudeurotiaceae)
Bibliographic record
Abstract
The introduction of the fungal pathogen Pseudogymnoascus destructans (Pd) to North America has stimulated research on the poorly known mycology of caves. It is possible that the introduction of Pd reduces the diversity of fungi associated with bats hibernating in caves. To test this hypothesis we examined the fungal assemblages associated with hibernating bats (Myotis spp.) pre- and post- white-nose syndrome (WNS) infection in eastern Canada using culture-dependent methods. We found the mean number of fungal taxa isolated from bats/hibernaculum was not significantly different between pre-infection (29.6 ± 6.1SD) and post-infection with WNS (32.4 ± 4.3). Although the number of fungal taxa per bat was significantly higher on Myotis lucifugus vs. M. septentrionalis, evidence suggests that this is a reflection of environmental features of individual hibernacula, rather than any biological difference between bat species. The composition and number of the most common and widespread fungal taxa on hibernating Myotis spp. did not change with the introduction of Pd to hibernacula. We found no evidence to suggest that Pd interacts with other fungi on the external surface of bats in hibernacula, even among fungal species of the same genus. However, our data do suggest that environmental characteristics of individual caves can have a significant influence on the fungal assemblages cultured from hibernating bats at specific hibernacula. Following the mortality of thousands of WNS-infected Myotis spp. in one hibernacula, we found that those fungal taxa growing on dead bats were cultured with increased frequency from live bats. This suggests that fungal assemblages on live bats may be sensitive to sporadic introductions of new fungal substrates to hibernacula.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".