Gut microbiota of Vancouver Island marmots
Bibliographic record
Abstract
Conservation breeding programs include translocations of animals across breeding facilities, both in and ex situ, and to/from their natural habitat. Newly reintroduced Vancouver Island marmots originating from the captive breeding program are known to experience high winter mortality. This health concern may be linked to changes in gut microbiota, which can affect metabolic rate prior to hibernation. Furthermore, captivity is known to impact the overall abundance of host-derived substrate degraders in the mammalian gut needed for hibernation. In this study, we explored the diversity of bacterial communities in the gut of captive marmots during the entire active season, both kept in captivity at in situ and ex situ facilities, as well as free-ranging marmots during the summer period. Gut microbial diversity was higher in marmots held in ex situ facilities, outside of their habitat range, compared to captive marmots held within their habitat range, and in the wild, and differences in composition were also observed. In the entire active season, animals kept in the ex situ facility had increased abundance in sulfate producers and possible cross-feeders, while an increase in amino acid metabolism, associated to fiber-degraders of in situ and free-ranging marmots is potentially linked to diet variation between facilities. KEGG pathways indicated that hibernation and captive location altered metabolic functions of gut microbiota of Marmota vancouverensis. These results confirm the interest to transfer animals held at zoos to an in situ facility before relocation and expand our understanding of microbiota variation around hibernation in the context of conservation biology.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".