323 Paternal effects of peri-pubertal bulls on the transcriptomes of blastocysts.
Bibliographic record
Abstract
Genetic selection for the best suited offspring’s drives the dairy industry to use young genitors with assisted reproductive technologies (ART) to reduce generation intervals. However, sperms collected from peri-pubertal bulls have lower quality compared to adults. Moreover, new evidences suggest that sperm can transfer not only the paternal genome sequence, but also the epigenetic information including DNA methylation, small non-coding RNAs, retained histones modification, etc. to zygote during fertilization which could interfere with embryogenesis and offspring development. Our previous study identifies differentially methylated regions (DMRs) among sperms from pre-, peri- and post-pubertal bulls. The aim of this study is to investigate the impacts of paternal age on the early embryos by evaluating the transcriptome of bovine blastocysts that are generated by the sperms of bulls at 10, 12 and 16 months of age using IVF with oocytes of adult cows. Whole genome transcriptomic analysis from EmbryoGENE platform show that 17 probes are differentially expressed in both 10 VS 16 months and 12 VS 16 months groups, while 112 probes are exclusively differentially expressed in 10 VS 16 months group, and 130 probes are affected in 12 VS 16 months group (Fold change>1.4, P-value<0.05). Ingenuity Pathway Analysis (IPA) further demonstrates that cellular growth and proliferation, cell death and survival, cellular development are the top 3 bio-functions that are affected by bull age, which are mediated by energy-related pathway, like oxidative phosphorylation, mitochondrial dysfunction and mTOR signaling. Therefore, our preliminary conclusion is that the bull’s age influences the transcriptome of blastocysts mainly on metabolic pathways which could further impact the quality of embryos.
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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".