Low <scp>MHC</scp> variation in the polar bear: implications in the face of <scp>A</scp>rctic warming?
Bibliographic record
Abstract
Abstract Animals in the A rctic have low pathogen diversity but with rapid climate warming, this is expected to change. One insidious consequence of climate change is exposure of A rctic species to new pathogens derived from more southern species expanding their range northward. To assess potential vulnerability of polar bears to disease exposure, we examined genetic variation in major histocompatibility complex ( MHC ) loci (part of immune system) in C anadian polar bears and found low genetic diversity, consistent with long‐standing exposure to low pathogen/parasite loads. All polar bears surveyed showed maximum linkage disequilibrium between DRB / DQB loci and 12% of individuals had a duplicated DQB gene haplotype. These results may reflect balancing selection at these loci, a response to an earlier immune‐challenge and/or be artifacts of polar bear‐brown bear divergence. Consistent with the latter, we found one DQA allele in polar bears that was also a brown bear DQA allele. The reported low MHC diversity and high linkage disequilibrium may have serious implications for polar bear resistance to new pathogens, which would be maladaptive to species in an environment undergoing rapid climate change, such as the A rctic.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".