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Record W4407712438 · doi:10.1016/j.isci.2025.112049

Multi-omics analysis reveals critical cis-regulatory roles of transposable elements in livestock genomes

2025· article· en· W4407712438 on OpenAlexaff
Chao Wang, Bowen Lei, Yongzhou Bao, Zhen Wang, Choulin Chen, Yuanyuan Zhang, Shenghua Qin, Tao Sun, Zhonglin Tang, Yuwen Liu

Bibliographic record

VenueiScience · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicChromosomal and Genetic Variations
Canadian institutionsMinistry of Agriculture
FundersNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
KeywordsTransposable elementGenomeComputational biologyBiologyLivestockGenomicsEvolutionary biologyGeneticsEcologyGene

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score0.152

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.266
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2025
Admission routes1
Has abstractyes

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