Nature Communications (Jun 2021)
A pig BodyMap transcriptome reveals diverse tissue physiologies and evolutionary dynamics of transcription
- Long Jin,
- Qianzi Tang,
- Silu Hu,
- Zhongxu Chen,
- Xuming Zhou,
- Bo Zeng,
- Yuhao Wang,
- Mengnan He,
- Yan Li,
- Lixuan Gui,
- Linyuan Shen,
- Keren Long,
- Jideng Ma,
- Xun Wang,
- Zhengli Chen,
- Yanzhi Jiang,
- Guoqing Tang,
- Li Zhu,
- Fei Liu,
- Bo Zhang,
- Zhiqing Huang,
- Guisen Li,
- Diyan Li,
- Vadim N. Gladyshev,
- Jingdong Yin,
- Yiren Gu,
- Xuewei Li,
- Mingzhou Li
Affiliations
- Long Jin
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University
- Qianzi Tang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University
- Silu Hu
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University
- Zhongxu Chen
- Department of Life Science, Tcuni Inc.
- Xuming Zhou
- Institute of Zoology, Chinese Academy of Sciences
- Bo Zeng
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University
- Yuhao Wang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University
- Mengnan He
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University
- Yan Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University
- Lixuan Gui
- Department of Life Science, Tcuni Inc.
- Linyuan Shen
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University
- Keren Long
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University
- Jideng Ma
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University
- Xun Wang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University
- Zhengli Chen
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University
- Yanzhi Jiang
- College of Life Science, Sichuan Agricultural University
- Guoqing Tang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University
- Li Zhu
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University
- Fei Liu
- Information and Educational Technology Center, Sichuan Agricultural University
- Bo Zhang
- Ya’an Digital Economy Operation Company
- Zhiqing Huang
- Institute of Animal Nutrition, Sichuan Agricultural University
- Guisen Li
- Renal Department and Nephrology Institute, Sichuan Provincial People’s Hospital
- Diyan Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University
- Vadim N. Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women’s Hospital
- Jingdong Yin
- State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University
- Yiren Gu
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy
- Xuewei Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University
- Mingzhou Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University
- DOI
- https://doi.org/10.1038/s41467-021-23560-8
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 17
Abstract
A comprehensive transcriptomic survey of the pig could enable mechanistic understanding of tissue specialization and accelerate its use as a biomedical model. Here the authors characterize four distinct transcript types in 31 adult pig tissues to dissect their distinct structural and transcriptional features and uncover transcriptomic variability related to tissue physiology.
