Combined Analysis of the Transcriptome and Metabolome at Different Tissue Glycogen Levels in Yili Horses

伊犁马不同组织糖原水平下转录组和代谢组的联合分析

阅读:2

Abstract

This study aimed to investigate the relationship between genes and metabolites involved in glycogen metabolism across different tissues of Yili mares using joint transcriptomic and metabolomic analyses. Glycogen content was measured in various tissues (pincer, trapezius, latissimus dorsi, gluteus medius, semitendinosus, external abdominal obliques, liver, and heart) from seven Yili mares. The liver, as the visceral tissue with the highest glycogen content, and the gluteus medius, as the muscle with the highest glycogen content, were selected for transcriptomic sequencing and metabolomic analysis. KEGG pathway analysis of differentially expressed genes and metabolites in the liver and the gluteus medius revealed several key pathways associated with glycogen metabolism, including pentose and glucuronic acid interconversion, glycolysis/gluconeogenesis, the TCA cycle, fructose and mannose metabolism, and the pentose phosphate pathway. The gluteus medius tissue exhibited differential expression of 1485 metabolites and 7366 genes compared to the liver, with correlation coefficients between some genes and metabolites in the aforementioned pathways exceeding 0.8. This study highlights the regulatory differences in glycogen synthesis between liver and muscle tissues in Yili horses from multiple perspectives. Notably, genes such as ACO1, ACLY, PCK2, and FBP1, along with metabolites like leucine, tyrosine, and valine, play significant roles in regulating glycogen synthesis in the liver. It is hypothesized that these genes and metabolites contribute to the observed differences in energy metabolism between liver and muscle tissues in Yili horses; however, further in vivo and in vitro experiments are needed to validate this hypothesis.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。