A pig BodyMap transcriptome reveals diverse tissue physiologies and evolutionary dynamics of transcription.
Xuan TaoQianzi TangSilu HuZhongxu ChenXuming ZhouBo ZengYuhao WangMengnan HeYan LiLixuan GuiLinyuan ShenKeren LongJideng MaXun WangZhengli ChenYanzhi JiangGuoqing TangLi ZhuFei LiuBo ZhangZhiqing HuangGui Sen LiDiyan LiVadim N GladyshevJingdong YinYiren GuXuewei LiMingzhou LiPublished in: Nature communications (2021)
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.
Keyphrases
- single cell
- gene expression
- genome wide
- dna methylation
- rna seq
- transcription factor
- physical activity
- endothelial cells
- insulin resistance
- genome wide identification
- adipose tissue
- binding protein
- oxidative stress
- stem cells
- skeletal muscle
- pluripotent stem cells
- cross sectional
- type diabetes
- single molecule
- cell therapy
- body mass index
- bone marrow
- sleep quality
- data analysis