FOOD SCIENCE ›› 2018, Vol. 39 ›› Issue (19): 13-18.doi: 10.7506/spkx1002-6630-201819003

• Basic Research • Previous Articles     Next Articles

Effect of Different Feeding Methods on the Expression of Lipid Metabolism Genes in Different Adipose Tissues of Sunit Sheep

YANG Lei, WANG Bohui, LUO Yulong, WANG Yu, SU Lin, ZHAO Lihua, JIN Ye*   

  1. College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China
  • Online:2018-10-15 Published:2018-10-24

Abstract: The aim of this study was to investigate the effect of different feeding patterns on the expression of lipid metabolism genes in intramuscular, tail and perirenal adipose tissues from 12 month-old Sunit sheep by quantitative real-time polymerase chain reaction (PCR). The results showed that for all three adipose tissues, the expression of stearoyl-CoA desaturase gene (SCD) in stall-fed sheep was significantly higher than in grazing sheep (P < 0.05); the expression of Δ5-fatty acid desaturases (FADS1), Δ6-fatty acid desaturases (FADS2), elongase of very long chain fatty acid 5 (Elove5) and peroxisome proliferator-activated receptor (PPARγ) in grazing sheep were higher than in stall-fed sheep (P > 0.05). The expression of lipoprotein lipase (LPL) in tail and perirenal adipose tissues from grazing sheep were higher than that stall-fed sheep (P < 0.05). The expression of each lipid metabolism gene in different adipose tissues differed significantly. The gene expression of FADS1, FADS2, Elove5 and carnitine palmitoyltransferase I (CPT1) in intramuscular adipose tissue was significantly higher than in the two other adipose tissues (P < 0.05), whereas the expression of PPARγ in intramuscular adipose tissue was significantly lower (P < 0.05). In tail adipose tissues, the expression of SCD had a significantly positive correlation with the expression of acetyl-CoA carboxylase (ACC) (P < 0.01), which was beneficial to the deposition of monounsaturat ed fatty acids in adipose tissues.

Key words: feeding method, Sunit sheep, lipid metabolism genes, quantitative real-time polymerase chain reaction

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