Multi‐Tissue Omics Analysis Uncovers Translational Regulation Underlying Complex Traits in Pigs

Variations in both transcription and translation of genes play a pivotal role in shaping complex traits and disease phenotypes. However, systematic analyses of genetic variants regulating transcription and translation, as well as their contribution to the genetic architecture of complex traits, remain scarce. Here, by generating a multi-omics dataset consisting of 132 datasets (48 transcriptomic, 48 translational, 30 proteomic, and 6 WGS) across 16 tissues from two breeds, with 3 pigs per breed, we demonstrated widespread translational buffering/amplification across tissues and breeds, with translation efficiency (TE) contributing significantly to phenotypic variation. Through integrative analysis of transcriptional and translational profiles, population genetics, and dual-luciferase reporter assays, we developed a novel framework for prioritizing gene regulatory networks (GRNs) underlying complex traits. Using this framework, we identified 33 functional 5'UTR variants linked to pork production traits, modulating 14 target genes through changes in TE. RNA interference assays confirmed the involvement of AQP4 and MYO18B in myogenic differentiation. In particular, the AQP4 variant (chr6_111421187) likely alters TE by modifying RNA secondary structure, while MYO18B variants (chr14_43476491) affect TE via RNA-binding protein interactions. More broadly, our framework can serve as a paradigm for uncovering the genetic basis of complex traits, extending beyond traditional transcriptional regulation.

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Publication Details

Journal
Advanced Science
Published
2026-02-03
DOI
https://doi.org/10.1002/advs.74200
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
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article

Multi‐Tissue Omics Analysis Uncovers Translational Regulation Underlying Complex Traits in Pigs

Choulin Chen, Junyan Qi, Zhilong Chen, Rui Chen et al.
Advanced Science
Genetic and phenotypic traits in livestock
article

Multi‐Tissue Omics Analysis Uncovers Translational Regulation Underlying Complex Traits in Pigs

Choulin Chen, Junyan Qi, Zhilong Chen, Rui Chen, Xiaoxian Xu, Weigang Zheng, Yongzhou Bao, Yuanyuan Zhang, Lingzhao Fang, Shenghua Qin, Yuwen Liu, Yunxiang Zhao, Huiming Li, Chao Wang
article en

Abstract

Variations in both transcription and translation of genes play a pivotal role in shaping complex traits and disease phenotypes. However, systematic analyses of genetic variants regulating transcription and translation, as well as their contribution to the genetic architecture of complex traits, remain scarce. Here, by generating a multi-omics dataset consisting of 132 datasets (48 transcriptomic, 48 translational, 30 proteomic, and 6 WGS) across 16 tissues from two breeds, with 3 pigs per breed, we demonstrated widespread translational buffering/amplification across tissues and breeds, with translation efficiency (TE) contributing significantly to phenotypic variation. Through integrative analysis of transcriptional and translational profiles, population genetics, and dual-luciferase reporter assays, we developed a novel framework for prioritizing gene regulatory networks (GRNs) underlying complex traits. Using this framework, we identified 33 functional 5'UTR variants linked to pork production traits, modulating 14 target genes through changes in TE. RNA interference assays confirmed the involvement of AQP4 and MYO18B in myogenic differentiation. In particular, the AQP4 variant (chr6_111421187) likely alters TE by modifying RNA secondary structure, while MYO18B variants (chr14_43476491) affect TE via RNA-binding protein interactions. More broadly, our framework can serve as a paradigm for uncovering the genetic basis of complex traits, extending beyond traditional transcriptional regulation.

Advanced Science
Guangxi University (CN), Aarhus University (DK), Agricultural Genomics Institute at Shenzhen (CN), Guangxi Center for Disease Prevention and Control (CN)
Openalex Percentile: Top 64%
Genetic and phenotypic traits in livestock
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