Extensive Allelic Diversity of MHC Class I in Wild Mallard Ducks
Bibliographic record
Abstract
MHC class I is critically involved in defense against viruses, and diversity from polygeny and polymorphism contributes to the breadth of the immune response and health of the population. In this article, we examine MHC class I diversity in wild mallard ducks, the natural host and reservoir of influenza A viruses. We previously showed domestic ducks predominantly use UAA, one of five MHC class I genes, but whether biased expression is also true for wild mallards is unknown. Using RT-PCR from blood, we examined expressed MHC class I alleles from 38 wild mallards (Anas platyrhynchos) and identified 61 unique alleles, typically 1 or 2 expressed alleles in each individual. To determine whether expressed alleles correspond to UAA adjacent to TAP2 as in domestic ducks, we cloned and sequenced genomic UAA-TAP2 fragments from all mallards, which matched transcripts recovered and allowed us to assign most alleles as UAA Allelic differences are primarily located in α1 and α2 domains in the residues known to interact with peptide in mammalian MHC class I, suggesting the diversity is functional. Most UAA alleles have unique residues in the cleft predicting distinct specificity; however, six alleles have an unusual conserved cleft with two cysteine residues. Residues that influence peptide-loading properties and tapasin involvement in chicken are fixed in duck alleles and suggest tapasin independence. Biased expression of one MHC class I gene may make viral escape within an individual easy, but high diversity in the population places continual pressure on the virus in the reservoir species.
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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 | 0.001 | 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 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".