59 The Genetic Basis of Natural Antibody Titers and Relationships with Disease Resilience in Pigs
Bibliographic record
Abstract
Abstract Disease resilience is the ability of an animal to maintain performance under pathogen exposure but is difficult to select for because breeding populations are raised in biosecure, high-health facilities. Selection for resilience requires an indicator trait that is easy to measure on healthy young animals, heritable, and genetically correlated with resilience. Our objective was to investigate circulating Natural Antibody (NAb) levels as potential indicators for disease resilience in pigs. Data were from a natural polymicrobial disease challenge, in which batches of 60–75 weaned LWxLR barrows were sourced every three weeks (28 batches, 1799 pigs) from healthy multipliers. NAb and total IgG were evaluated by indirect ELISA in blood samples collected around 35 d of age. Disease resilience data were collected until pigs reached market age. All pigs were genotyped on a 650k panel. Genetic parameters were estimated by univariate and bivariate analyses in ASReml4. Single-marker and Bayesian variable selection methods were used for GWAS. Heritability estimates were lower for IgG NAb (0.03–0.22) than for IgM NAb (0.24–0.42) but maternal effects were larger for IgG (0.49–0.58) than for IgM (0.04–0.12). Phenotypically, IgM titers correlated with each other (0.26–0.71), as did IgG titers (0.40–0.81), but correlations between IgM and IgG were low (0.00–0.13). Genetic correlations showed similar patterns, ranging from 0.44–0.99, 0.45–0.84, and -0.30–0.25 for IgG, IgM, and IgG/IgM, respectively. Genetically, higher levels of NAb tended to be associated with fewer treatments, lower mortality, higher finishing ADG, and lower day-to-day fluctuations in feed intake but SE were large. Phenotypically, pigs that reached market age had significantly higher levels of IgG NAb than pigs that died. GWAS identified several genomic regions for NAb levels. In conclusion, levels of circulating NAb in healthy young piglets are potential indicators of polymicrobial disease resilience. Funded by Genome Canada and Alberta, and by USDA-NIFA.
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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 | 0.001 | 0.001 |
| 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) | 0.003 | 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".