A pig BodyMap transcriptome reveals diverse tissue physiologies and evolutionary dynamics of transcription.
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IF: 17.694
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Cited by: 40
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Abstract

A comprehensive transcriptomic survey of pigs can provide a mechanistic understanding of tissue specialization processes underlying economically valuable traits and accelerate their use as a biomedical model. Here we characterize four transcript types (lncRNAs, TUCPs, miRNAs, and circRNAs) and protein-coding genes in 31 adult pig tissues and two cell lines. We uncover the transcriptomic variability among 47 skeletal muscles, and six adipose depots linked to their different origins, metabolism, cell composition, physical activity, and mitochondrial pathways. We perform comparative analysis of the transcriptomes of seven tissues from pigs and nine other vertebrates to reveal that evolutionary divergence in transcription potentially contributes to lineage-specific biology. Long-range promoter-enhancer interaction analysis in subcutaneous adipose tissues across species suggests evolutionarily stable transcription patterns likely attributable to redundant enhancers buffering gene expression patterns against perturbations, thereby conferring robustness during speciation. This study can facilitate adoption of the pig as a biomedical model for human biology and disease and uncovers the molecular bases of valuable traits.

Keywords

Spatial Transcriptomics
Gene Expression

MeSH terms

Adipose Tissue
Alternative Splicing
Animals
Biological Evolution
Cell Line
Cell Lineage
Cell Nucleus
Enhancer Elements, Genetic
Evolution, Molecular
Gene Expression Profiling
Gene Regulatory Networks
MicroRNAs
Mitochondria
Molecular Conformation
Muscle, Skeletal
Myofibrils
Phylogeny
Promoter Regions, Genetic
RNA, Circular
RNA, Long Noncoding
RNA, Messenger
Spatial Analysis
Swine
Transcriptome

Authors

Jin, Long
Tang, Qianzi
Hu, Silu
Chen, Zhongxu
Zhou, Xuming
Zeng, Bo
Wang, Yuhao
He, Mengnan
Li, Yan
Gui, Lixuan
Shen, Linyuan
Long, Keren
Ma, Jideng
Wang, Xun
Chen, Zhengli
Jiang, Yanzhi
Tang, Guoqing
Zhu, Li
Liu, Fei
Zhang, Bo
Huang, Zhiqing
Li, Guisen
Li, Diyan
Gladyshev, Vadim N
Yin, Jingdong
Gu, Yiren
Li, Xuewei
Li, Mingzhou

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