Genetic variability of the cytosolic phosphoenolpyruvate carboxykinase gene in white leghorn chickens
Bibliographic record
Abstract
Phosphoenolpyruvate carboxykinase (PEPCK) is a key regulatory enzyme of gluconeogenesis. Genetic variations in this gene may therefore affect a wide variety of traits, including tumor growth that is heavily dependent on glucose metabolism. We have previously shown the gene coding for the mitochondrial form of PEPCK (PEPCK-M) segregates for markers that are collected with resistance to Marek's disease. In this communication we analyze the genetic variability of PEPCK-C, the gene which codes for the cytosolic form of PEPCK. A 3,792-bp segment of 5'-region of the PEPCK-C gene (position -1723 to 2069) was sequenced in four individuals from eight different strains of White Leghorn chickens (a total of 64 genomes). A total of 19 single nucleotide polymorphisms (SNP) were identified. Neither deletions nor insertions were present. The most frequent SNP were transitions (79%), and in most cases the ancestral allele coincided with CpG dinucleotides (10-fold excess after correcting for dinucleotide frequencies). A gene tree was constructed assuming maximal parsimony. It led to the delineation of 6 haplotypes (combination of alleles). Two of the SNP coincided with RFLP detectable by the restriction enzymes AciI and BstEII, respectively. Based on this analysis we can now identify individuals with the evolutionary most distant PEPCK-C haplotypes, establish strains of these haplotypes, and analyze trait associations and epistasis with other genes.
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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".