Noninvasive sampling reveals landscape genetic structure in the threatened ghost bat (<i>Macroderma gigas</i>) in an ore-rich region of Western Australia
Bibliographic record
Abstract
Bat species are expected to exhibit low genetic structuring due to their high mobility. Thus, habitat connectivity is important to maintain gene flow and genetic diversity to retain evolutionary potential. The ghost bat (Macroderma gigas) is a large carnivorous bat endemic to Australia. Listed as Vulnerable, the species has a disjunct distribution across northern Australia and is patchily distributed at local scales due to limited roost habitat availability and anthropogenic impacts. Here, we survey the genetic diversity and structure of M. gigas in the isolated, arid Pilbara bioregion in Western Australia, primarily using noninvasively collected fecal DNA samples obtained from roosts. Fecal and tissue samples, representing 399 individuals, were genotyped using an optimized autosomal marker panel, with a subset also being sequenced at the mitochondrial D-loop region to investigate historical gene flow. Spatially explicit Bayesian clustering analyses of autosomal markers revealed low genetic structure and high levels of gene flow amongst the two Pilbara subregions, with some further structuring evident within the Hamersley Ranges. Mitochondrial DNA sequencing showed strong geographic structuring of haplotypes between the subpopulations, with only a small number of shared haplotypes indicating low levels of maternal gene flow. Such patterns across the two marker types are consistent with maternal philopatry and male-mediated gene flow that has previously been described for this species. Conservation actions for the ghost bat in the Pilbara should therefore recognize maintenance of connectivity between roosts and subregions is important to maintain gene flow for this threatened species in the face of anthropogenic threats.
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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".