Literature DB >> 28669724

The comprehensive liver transcriptome of two cattle breeds with different intramuscular fat content.

Xi Wang1, Yuanqing Zhang2, Xizhong Zhang2, Dongcai Wang2, Guang Jin2, Bo Li2, Fang Xu2, Jing Cheng2, Feng Zhang2, Sujun Wu2, Su Rui3, Jiang He4, Ronghua Zhang5, Wenzhong Liu6.   

Abstract

Intramuscular fat (IMF) content is an important determinant factor of meat quality in cattle. There is significant difference in IMF content between Jinnan and Simmental cattle. Here, to identify candidate genes and networks associated with IMF deposition, we deeply explored the transcriptome architecture of liver in these two cattle breeds. We sequenced the liver transcriptome of five Jinnan and three Simmental cattle, yielding about 413.9 million sequencing reads. 124 differentially expressed genes (DEGs) were detected, of which 53 were up-regulated and 71 were down-regulated in Jinnan cattle. 1282 potentially novel genes were also identified. Gene ontology analysis revealed these DEGs (including CYP21A2, PC, ACACB, APOA1, and FADS2) were significantly enriched in lipid biosynthetic process, regulation of cholesterol esterification, reverse cholesterol transport, and regulation of lipoprotein lipase activity. Genes involved in pyruvate metabolism pathway were also significantly overrepresented. Moreover, we identified an interaction network which related to lipid metabolism, which might be contributed to the IMF deposition in cattle. We concluded that the DEGs involved in the regulation of lipid metabolism could play an important role in IMF deposition. Overall, we proposed a new panel of candidate genes and interaction networks that can be associated with IMF deposition and used as biomarkers in cattle breeding.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cattle; Intramuscular fat content; Liver; Transcriptome

Mesh:

Substances:

Year:  2017        PMID: 28669724     DOI: 10.1016/j.bbrc.2017.06.157

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


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