Comprehensive transcriptional landscape of porcine cardiac and skeletal muscles reveals differences of aging

// Jianning Chen 1, * , Qin Zou 1, * , Daojun Lv 2, * , Yingying Wei 1 , Muhammad Ali Raza 3 , Yan Chen 1 , Peilin Li 2 , Xiaoyu Xi 1 , Huaming Xu 1 , Anxiang Wen 1 , Li Zhu 4 , Guoqing Tang 4 , Mingzhou Li 4 , Anan Jiang 4 , Yihui Liu 5 , Yuhua Fu 6 , Yanzhi Jiang 1 and Xuewei Li 4 1 Department of Zoology, College of Life Science, Sichuan Agricultural University, Ya'an, Sichuan 625014, China 2 Sichuan Weimu Modern Agricultural Science and Technology Co., Ltd., Chengdu, Sichuan 611130, China 3 Department of Crop Cultivation and Farming System, College of Agronomy, Sichuan Agricultural University, Chengdu, Sichuan 611130, China 4 Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan 611130, China 5 Sichuan Animal Husbandry Station, Chengdu, Sichuan 610041, China 6 School of Computer Science and Technology, Wuhan University of Technology, Wuhan, Hubei 430070, China * These authors contributed equally to this work Correspondence to: Yanzhi Jiang, email: jiangyz04@163.com , xuewei.li@sicau.edu.cn Keywords: aging; cardiac muscle; pig; skeletal muscle; transcriptome Received: November 26, 2017 Accepted: December 08, 2017 Published: December 15, 2017 ABSTRACT Aging significantly affects the cardiac muscle (CM) and skeletal muscles (SM). Since the aging process of CM and SM may be different, high throughput RNA sequencing was performed using CM and SM in different age conditions to evaluate the expression profiles of messenger RNA (mRNA), long non-coding RNA (lncRNA), micro RNA (miRNA), and circular (circRNA). Several mRNAs, lncRNAs, and miRNAs were highly expressed and consistently appeared in both ages in one of the two muscle tissues. Gene ontology (GO) annotation described that these genes were required for maintaining normal biological functions of CM and SM tissues. Furthermore, 26 mRNAs, 4 lncRNAs, 22 miRNAs, and 26 circRNAs were differentially expressed during cardiac muscle aging. Moreover, 81 mRNAs, 5 lncRNAs, 79 miRNAs, and 62 circRNAs were differentially expressed during aging of skeletal muscle. When comparing the expression profiles of CM and SM during aging, the senescence process in CM and SM was found to be fundamentally different. In addition, we assessed multi-group cooperative control relationships and constructed circRNA-miRNA-mRNA co-expression networks in muscular aging. In conclusion, our findings will contribute to the understanding of muscular aging and provide a foundation for future studies on the molecular mechanisms underlying muscular aging.