Dynamic Changes in the Global Transcriptome of Postnatal Skeletal Muscle in Different Sheep

Author:

Ai Yue12,Zhu Yaning12,Wang Linli12,Zhang Xiaosheng3,Zhang Jinlong3,Long Xianlei4,Gu Qingyi4ORCID,Han Hongbing12

Affiliation:

1. Beijing Key Laboratory of Animal Genetic Improvement, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China

2. Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture and Rural Affairs, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China

3. Tianjin Key Laboratory of Animal Molecular Breeding and Biotechnology, Tianjin 301700, China

4. Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

Abstract

Sheep growth performance, mainly skeletal muscle growth, provides direct economic benefits to the animal husbandry industry. However, the underlying genetic mechanisms of different breeds remain unclear. We found that the cross-sectional area (CSA) of skeletal muscle in Dorper (D) and binary cross-breeding (HD) was higher than that in Hu sheep (H) from 3 months to 12 months after birth. The transcriptomic analysis of 42 quadriceps femoris samples showed that a total of 5053 differential expression genes (DEGs) were identified. The differences in the global gene expression patterns, the dynamic transcriptome of skeletal muscle development, and the transcriptome of the transformation of fast and slow muscles were explored using weighted correlation network analysis (WGCNA) and allele-specific expression analysis. Moreover, the gene expression patterns of HD were more similar to D rather than H from 3 months to 12 months, which might be the reason for the difference in muscle growth in the three breeds. Additionally, several genes (GNB2L1, RPL15, DVL1, FBXO31, etc.) were identified as candidates related to skeletal muscle growth. These results should serve as an important resource revealing the molecular basis of muscle growth and development in sheep.

Funder

National Key R&D Program of China

National Science Foundation of China

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

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