Literature DB >> 34315409

Dynamic changes of miRNAs in skeletal muscle development at New Zealand rabbits.

Jing Jing1,2, Xichun Jiang3, Cuiyun Zhu1,2, Qi Zheng1,2, Qianyun Ji1,2, Huiqun Yin4, Jingtong Huang1,2, Yixiao Zhu1,2, Jiao Wang1,2, Shuaiqi Qin1,2, Yinghui Ling5,6.   

Abstract

BACKGROUND: miRNA is one of the crucial roles in the complex and dynamic network that regulates the development of skeletal muscle. The landscape of skeletal muscle miRNAs from fetus to adult in New Zealand rabbits has not been revealed yet.
RESULTS: In this study, nine RNA-seq libraries of fetus, child and adult rabbits' leg muscles were constructed. A total of 278 differentially expressed miRNAs (DEmiRNAs) were identified. In the fetus vs. child group, the main functional enrichments were involved in membrane and transport. Pathway enriched terms of up-regulated DEmiRNAs were connected with the differentiation and hypertrophy of skeletal muscle, and down-regulated ones were related to muscle structure and metabolic capacity. In the child vs. adult group, functions were associated to positioning and transportation, and pathways were relevant to ECM, muscle structure and hypertrophy. Finally, ocu-miR-185-3p and ocu-miR-370-3p, which had the most target genes, were identified as hub-miRNAs in these two groups.
CONCLUSIONS: In short, we summarized the highly expressed and uniquely expressed DEmiRNAs of fetus, child and adult rabbits' leg muscles. Besides, the potential functional changes of miRNAs in two consecutive stages have been explored. Among them, the ocu-miR-185-3p and ocu-miR-370-3p with the most target genes were selected as hub-miRNAs. These data improved the understanding of the regulatory molecules of meat rabbit development, and provided a novel perspective for molecular breeding of meat rabbits.
© 2021. The Author(s).

Entities:  

Keywords:  Development; Rabbit; Skeletal muscle; miRNA; sRNA-seq

Year:  2021        PMID: 34315409     DOI: 10.1186/s12864-021-07896-5

Source DB:  PubMed          Journal:  BMC Genomics        ISSN: 1471-2164            Impact factor:   3.969


  44 in total

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