PSIII-10 The association of genes involved in mitochondrial function with growth, size, and feed efficiency traits in developing beef heifers
Bibliographic record
Abstract
Abstract The objective was to determine if genetic markers related to mitochondrial function are associated with growth and feed intake of Bos taurus heifers fed forage-based diets. Weight data collected at birth, weaning, and as yearlings were available on 373 heifers. As yearlings, feed intake was measured using an Insentec system. Primary ancestral breeds of heifers included 204 British, 66 Continental European, 68 American Aberdeen, 29 British mix, and 6 American Aberdeen mix. Traits included DMI, ADG, G:F, adjusted birth weight (BWT), adjusted 205 weaning weight (WW), and average of start and end feed trial weight (FWT) and body volume (VOL). Heifers were genotyped using Neogen GGP150HD for beef cattle. Markers (n=56) were extracted if located within or flanking AMPK, PPARGC1A, FGF2, and SIRT1 or on mitochondrial DNA using ARS-UCD1.2 coordinates. After quality checks (minor allele frequency and call rate), 44 markers remained. No mitochondrial markers passed quality checks. For each trait, each marker was fit independently as a fixed effect in a model including year and group based on frame score (n=4), ancestry (n=5), and dam age (n=4; non-adjusted traits only). Pairwise comparisons were done using Tukey-Kramer method. No markers within FGF2 or SIRT1 had significant associations. Two markers were found significant for PPARGC1A, where Hapmap24121-BTC-039009 (P=0.0344) showed the C allele increased DMI. For weight traits, significant markers surrounding AMPK and within PPARGC1A (n=5; 0.0009≤P≤ 0.0468) identified dominance gene actions that indicate certain variants of the AMPK and PPARGC1A increased weight across time-points. For VOL, 16 of 22 markers within PPARGC1A were significant (0.0068≤P≤0.0467). Of the 16 markers, 14 identified a recessive variant that increased volume, but did not translate to increased weight. Further research is needed to better understand the roles that genetic markers for AMPK and PPARGC1A have on tissue level mitochondrial function and energy metabolism.
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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) | 0.002 | 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".