Comparative Transcriptome Profile Analysis of Longissimus dorsi Muscle Tissues From Two Goat Breeds With Different Meat Production Performance Using RNA-Seq

Autor: Jiang Hu, Zhiyun Hao, Jiqing Wang, Jiyuan Shen, Xiu Liu, Lirong Qiao, Shaobin Li, Yuzhu Luo, Na Ke, Liyan Hu, Yujie Lu, Xinmiao Wu, Yize Song
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Frontiers in Genetics, Vol 11 (2021)
ISSN: 1664-8021
DOI: 10.3389/fgene.2020.619399/full
Popis: Carcass weight, meat quality and muscle components are important traits economically and they underpin most of the commercial return to goat producers. In this study, theLongissimus dorsimuscle tissues were collected from five Liaoning cashmere (LC) goats and five Ziwuling black (ZB) goats with phenotypic difference in carcass weight, some meat quality traits and muscle components. The histological quantitative of collagen fibers and the transcriptome profiles in theLongissimus dorsimuscle tissues were investigated using Masson-trichrome staining and RNA-Seq, respectively. The percentage of total collagen fibers in theLongissimus dorsimuscle tissues from ZB goats was less than those from LC goats, suggesting that these ZB goats had more tender meat. An average of 15,919 and 15,582 genes were found to be expressed inLongissimus dorsimuscle tissues from LC and ZB goats, respectively. Compared to LC goats, the expression levels of 78 genes were up-regulated in ZB goats, while 133 genes were down-regulated. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses revealed that the differentially expressed genes (DEGs) were significantly enriched in GO terms related to the muscle growth and development and the deposition of intramuscular fat and lipid metabolism, hippo signaling pathway and Jak-STAT signaling pathway. The results provide an improved understanding of the genetic mechanisms regulating meat production performance in goats, and will help us improve the accuracy of selection for meat traits in goats using marker-assisted selection based on these differentially expressed genes obtained.
Databáze: OpenAIRE