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

Clicks: 228
ID: 198037
2020
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
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.
Reference Key
gui2020associationgenomics Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Gui, Lin-Sheng;Haidar Abbas Raza, Sayed;Zhou, Li;Khan, Rajwali;Hassan Abd El-Aziz, Ayman;Ullah, Irfan;Raza Jahejo, Ali;Shoorei, Hamed;Manzari, Zeinab;Amjadi, Motahareh;Yao Liu, Gui;
Journal genomics
Year 2020
DOI S0888-7543(20)30346-3
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.