PSX-6 Genome-wide association study on hippocampal biomarkers of cumulative affective experience in chicken layers
Bibliographic record
Abstract
Abstract Recurring stress, which can be termed a negative cumulative affective experience has numerous detrimental phenotypic impacts on poultry welfare. Consequently, this negative experience could lead to reduced productivity. Biomarkers that serve as indicators of cumulative affective experience have been found through the density of highly plastic neurons in the hippocampus. There is limited published research on biomarkers of cumulative affective experience in poultry. Therefore, identifying genomic regions associated with the biomarkers of poultry susceptible or resistant to the negative affective experience could aid in creating more efficient and sustainable farming practices. For this study, H&N and Hy-Line Brown hens (n = 42) housed in a multi-tier free range and enriched cage system, respectively, were available. All hens were genotyped with a proprietary 200K SNP panel and phenotypic data were collected from brain tissue sections stained using an antibody to doublecortin (DCX), which was used to quantify densities of highly plastic neurons in the hippocampus. A genome-wide association study (GWAS) was used to detect genomic regions associated with biomarkers of cumulative affective experience in poultry. The GWAS results found a total of 19 regions from 8 chromosomes with a comparatively high proportion of genetic variance explained, which is associated with the cumulative affective experience. From these regions, 39 different genes were found to be within 100 kb upstream and downstream of the identified regions. These genes were examined for their biological function and role in the cumulative affective experience. The identified genes are associated with cellular processes and genetic information processing. Of the genes, PIKR6, VPS37D, STX1A, BAZ1B, HGH1, MAF, MAPK15, PIT54 were identified as important candidate genes for the cumulative affective experience. Notably, the identified gene, PIK3R6, overlapped with previously reported genes for the stress response in chickens. These identified genes with association to the hippocampal neural density serve as potential candidate genes underlying the cumulative affective experience in poultry. This study shows that genomic regions associated with cumulative affective experience can be detected and help to provide insight into the genetic architecture of the trait.
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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 | 0.001 |
| 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".