A pig BodyMap transcriptome reveals diverse tissue physiologies and evolutionary dynamics of transcription.
A pig BodyMap transcriptome reveals diverse tissue physiologies and evolutionary dynamics of transcription.
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猪 BodyMap 转录组揭示了不同的组织生理学和转录进化动力学
DOI：
10.1038/s41467-021-23560-8
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发表时间：
2021-06-17
影响因子：
16.6
通讯作者：
Li M
中科院分区：
文献类型：
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作者：
Jin L;Tang Q;Hu S;Chen Z;Zhou X;Zeng B;Wang Y;He M;Li Y;Gui L;Shen L;Long K;Ma J;Wang X;Chen Z;Jiang Y;Tang G;Zhu L;Liu F;Zhang B;Huang Z;Li G;Li D;Gladyshev VN;Yin J;Gu Y;Li X;Li M
对猪进行全面的转录组学调查可以提供对具有经济价值的性状的组织特化过程的机械理解，并加速其作为生物医学模型的使用。在这里，我们描述了四种转录类型（lncRNA，TUCPs，miRNA和circRNA）和蛋白质编码基因在31个成年猪组织和两个细胞系。我们揭示了47个骨骼肌和6个脂肪库之间的转录组变异性，这些脂肪库与它们的不同起源、代谢、细胞组成、身体活动和线粒体途径有关。我们对猪和其他九种脊椎动物的七种组织的转录组进行了比较分析，以揭示转录的进化分歧可能有助于谱系特异性生物学。跨物种的皮下脂肪组织中的远程启动子-增强子相互作用分析表明，进化稳定的转录模式可能归因于冗余增强子缓冲基因表达模式对扰动，从而赋予物种形成过程中的鲁棒性。这项研究可以促进采用猪作为人类生物学和疾病的生物医学模型，并揭示有价值的性状的分子基础。
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.
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影响因子：
46.9
作者：
Becht, Etienne;McInnes, Leland;Newell, Evan W.
通讯作者：
Newell, Evan W.
遗传对人体组织基因表达的影响。
影响因子：
64.8
作者：
GTEx Consortium;Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working Group;Statistical Methods groups—Analysis Working Group;Enhancing GTEx (eGTEx) groups;NIH Common Fund;NIH/NCI;NIH/NHGRI;NIH/NIMH;NIH/NIDA;Biospecimen Collection Source Site—NDRI;Biospecimen Collection Source Site—RPCI;Biospecimen Core Resource—VARI;Brain Bank Repository—University of Miami Brain Endowment Bank;Leidos Biomedical—Project Management;ELSI Study;Genome Browser Data Integration &Visualization—EBI;Genome Browser Data Integration &Visualization—UCSC Genomics Institute, University of California Santa Cruz;Lead analysts:;Laboratory, Data Analysis &Coordinating Center (LDACC):;NIH program management:;Biospecimen collection:;Pathology:;eQTL manuscript working group:;Battle A;Brown CD;Engelhardt BE;Montgomery SB
通讯作者：
Montgomery SB
影响因子：
12.3
作者：
Andersson L;Archibald AL;Bottema CD;Brauning R;Burgess SC;Burt DW;Casas E;Cheng HH;Clarke L;Couldrey C;Dalrymple BP;Elsik CG;Foissac S;Giuffra E;Groenen MA;Hayes BJ;Huang LS;Khatib H;Kijas JW;Kim H;Lunney JK;McCarthy FM;McEwan JC;Moore S;Nanduri B;Notredame C;Palti Y;Plastow GS;Reecy JM;Rohrer GA;Sarropoulou E;Schmidt CJ;Silverstein J;Tellam RL;Tixier-Boichard M;Tosser-Klopp G;Tuggle CK;Vilkki J;White SN;Zhao S;Zhou H;FAANG Consortium
通讯作者：
FAANG Consortium
影响因子：
3.7
作者：
Guo, Lijin;Huang, Weiling;Nie, Qinghua
通讯作者：
Nie, Qinghua
影响因子：
64.8
作者：
通讯作者：
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