Study on <i>CHADL</i> as a candidate gene for comb growth traits in Partridge Shank roosters
Bibliographic record
Abstract
The comb is an important secondary sexual characteristic and comb growth traits, such as size and color of the comb, are widely used as indicators in chicken breeding programs. However, the genetic basis for these traits remains mostly unknown. It was found that the chondroadherin-like (CHADL) gene was up-regulated in large combs and was located in reported comb growth quantitative trait loci. In this study, tissue-specific expressions, expression patterns in combs of different ages, and CHADL polymorphisms were analyzed to investigate the relationship between this gene and comb growth traits of Partridge Shank roosters. The results showed that CHADL was more highly expressed in combs than in 10 other tissues, and its expressions in combs tended to gradually increase from the 5-wk-old mark to the 26-wk-old mark. The single-nucleotide polymorphism rs316423539 in the CHADL gene was significantly associated with the comb area and height, whereas rs14822286 was highly correlated with the comb color. Moreover, H1H5, H1H6, and H3H6 were the most advantageous genotype combinations for comb growth traits. Our results might help understand the molecular mechanism of comb growth traits and improve these traits directly by marker assistant selections.
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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 | 0.000 | 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) | 0.001 | 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".