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Association of hormone-sensitive lipase (HSL) gene polymorphisms with the intramuscular fat content in two Chinese beef cattle breeds.

Authors :
Gui, Lin-sheng
Raza, Sayed Haidar Abbas
Memon, Sameeullah
Li, Zhou
Abd El-Aziz, Ayman Hassan
Ullah, Irfan
Jahejo, Ali Raza
Shoorei, Hamed
Khan, Rajwali
Quan, Guobo
Liu, Gui Yao
Source :
Genomics. Nov2020, Vol. 112 Issue 6, p3883-3889. 7p.
Publication Year :
2020

Abstract

• mRNA expression of HSL gene was quantified different tissue in two age groups of Qinchuan cattle. • Five SNPs of bovine HSL gene were identified within exon. • Effects of single markers/haplotype combinations on intramuscular fat content were analyzed. Hormone-sensitive lipase (HSL) was considered as an essential enzyme in glucolipid metabolism. It has been proposed to be a lead candidate gene for genetic markers of lipid deposition in livestock. The aim of this study was to identify sequence variants (SVs) of the bovine HSL gene and evaluate the relations to intramuscular fat in two indigenous Chinese beef cattle breeds. Expression analysis by quantitative real-time polymerase chain reactions (qPCR) indicated that expression levels of bovine HSL gene were highest in the perirenal fat and heart within two different age stage (adult and calf), respectively. Five SVs were identified by direct DNA sequencing, which included four missense mutations (g.16563C>T, g.16734G>A, g.16896A>G, g.17388G>T) in exon 8 and a synonymous mutation (g.17402C>T) in exon 9. Population genetic analysis showed that except for g.16563C>T and g.17402C>T, all the other detected SVs strongly affected the bovine intramuscular fat content (P < 0.01 or P < 0.05). The individuals with Hap5/5 diplotypes (CC-GG-GG-GG-CC) was highly significantly associated with intramuscular fat content than the other diplotypes (P < 0.01). The above results suggested that the HSL gene can used as potential candidate markers gene for the beef breed improvement through marker assisted selection in Chinese cattle breeds. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08887543
Volume :
112
Issue :
6
Database :
Academic Search Index
Journal :
Genomics
Publication Type :
Academic Journal
Accession number :
147584742
Full Text :
https://doi.org/10.1016/j.ygeno.2020.06.037