Multi-omics analysis reveals critical cis-regulatory roles of transposable elements in livestock genomes
Bibliographic record
Abstract
Transposable elements (TEs) are important sources of genetic and regulatory variation, yet their functional roles in domesticated animals remain insufficiently explored. To address this gap, we comprehensively annotated TE types, ages, and distributions in the genomes of pig (Sus scrofa), cattle (Bos taurus), and chicken (Gallus gallus). Our analysis revealed species-specific patterns in TE abundance, amplification, and activity in modern genomes. By integrating transcriptomic and epigenomic data, we explored the impact of specific TE types on cis -regulatory elements (CREs) and constructed a TE expression atlas across five tissues in all three species. Our findings underscored the critical roles of tissue-specific TE expression and chromatin accessibility in regulating tissue-specific biological processes. Most notably, we developed a computational framework to uncover TE-mediated gene regulatory networks (TE-GRNs). Our findings provide valuable insights into the regulatory functions of TEs in livestock and offer a robust approach for studying TE-GRNs in diverse biological contexts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".