4.7 Article

Transcriptome study digs out BMP2 involved in adipogenesis in sheep tails

期刊

BMC GENOMICS
卷 23, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12864-022-08657-8

关键词

Fat-tailed sheep; Transcriptome; Preadipocytes; BMP2; Adipogenesis

资金

  1. China Agriculture Research System of MOF and MARA [CARS-38]

向作者/读者索取更多资源

This study identified key genes involved in adipogenesis metabolism in Hu sheep and Tibetan sheep, providing novel insights into metabolic molecules in sheep fat tails.
Background Hu sheep and Tibetan sheep in China are characterized by fat tails and thin tails, respectively. Several transcriptomes have been conducted in different sheep breeds to identify the differentially expressed genes (DEGs) underlying this trait. However, these studies identified different DEGs in different sheep breeds. Results Hence, RNA sequencing was performed on Hu sheep and Tibetan sheep. We obtained a total of 45.57 and 43.82 million sequencing reads, respectively. Two libraries mapped reads from 36.93 and 38.55 million reads after alignment to the reference sequences. 2108 DEGs were identified, including 1247 downregulated and 861 upregulated DEGs. GO and KEGG analyses of all DEGs demonstrated that pathways were enriched in the regulation of lipolysis in adipocytes and terms related to the chemokine signalling pathway, lysosomes, and glycosaminoglycan degradation. Eight genes were selected for validation by RT-qPCR. In addition, the transfection of BMP2 overexpression into preadipocytes resulted in increased PPAR-gamma expression and expression. BMP2 potentially induces adipogenesis through LOX in preadipocytes. The number of lipid drops in BMP2 overexpression detected by oil red O staining was also greater than that in the negative control. Conclusion In summary, these results showed that significant genes (BMP2, HOXA11, PPP1CC and LPIN1) are involved in the regulation of adipogenesis metabolism and suggested novel insights into metabolic molecules in sheep fat tails.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据