Dataset Information

Distinct correlations between lipogenic gene expression and fatty acid composition of subcutaneous fat among cattle breeds.

ABSTRACT: BACKGROUND:The fatty acid (FA) composition of adipose tissue influences the nutritional quality of meat products. The unsaturation level of FAs is determined by fatty acid desaturases such as stearoyl-CoA desaturases (SCDs), which are under control of the transcription factor sterol regulatory element-binding protein (SREBP). Differences in SCD genotype may thus confer variations in lipid metabolism and FA content among cattle breeds. This study investigated correlations between FA composition and lipogenic gene expression levels in the subcutaneous adipose tissue of beef cattle breeds of different gender from the Basque region of northern Spain. Pirenaica is the most important beef cattle breed in northern Spain, while Salers cattle and Holstein-Friesian cull cows are also an integral part of the regional beef supply. RESULTS:Pirenaica heifers showed higher monounsaturated FA (MUFA) and conjugated linoleic acid (CLA) contents in subcutaneous adipose tissue than other breeds (P?

SUBMITTER: Gamarra D

PROVIDER: S-EPMC5966917 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Distinct correlations between lipogenic gene expression and fatty acid composition of subcutaneous fat among cattle breeds.

Gamarra David D Aldai Noelia N Arakawa Aisaku A Barron Luis Javier R LJR López-Oceja Andrés A de Pancorbo Marian M MM Taniguchi Masaaki M

BMC veterinary research 20180523 1

<h4>Background</h4>The fatty acid (FA) composition of adipose tissue influences the nutritional quality of meat products. The unsaturation level of FAs is determined by fatty acid desaturases such as stearoyl-CoA desaturases (SCDs), which are under control of the transcription factor sterol regulatory element-binding protein (SREBP). Differences in SCD genotype may thus confer variations in lipid metabolism and FA content among cattle breeds. This study investigated correlations between FA compo ...[more]

PMID: 29792205

Similar Datasets

Project description:We hypothesized that gene expression and fatty acid composition would differ among different muscle depots and over time on a grain-based finishing diet. Additionally, we hypothesized that the concentration of SFA would decrease and the concentration of MUFA would increase proportionately with increases in percent intramuscular lipid (%IML). Ten Yanbian Yellow cattle steers (approximately 8 mo of age) were fed a corn-based diet in which the proportion of corn in the ration was increased at 4-mo intervals. Muscle samples were taken by biopsy from the chuck (trapezius), loin (longissimus dorsi), and round (biceps femoris) muscles at 12, 16, 20, 24, and 28 mo of age. The %IML increased from 12 to 28 mo of age, especially between 24 and 28 mo of age, with loin > round > chuck (age × muscle interaction P < 0.001). The percentage (g/100 g total fatty acids) of oleic acid (18:1n-9), linoleic acid (18:2n-6), and α-linolenic acid (18:3n-3), and the MUFA:SFA ratio increased with age, whereas palmitic (16:0) and stearic acid (18:0) decreased with age in all muscles (age effect P < 0.001). The expression of sterol regulatory element binding protein (SREBP1), adipose tissue fatty acid- binding protein (FABP4), stearoyl-CoA desaturase (SCD), acetyl-CoA carboxylase (ACC1), and lipoprotein lipase (LPL) increased, whereas the expression of peroxisome proliferator-activated receptor gamma (PPARγ) and fatty acid synthase (FASN) decreased with age. Expression of PPARγ, FABP4, SREBP1, SCD, FASN, ACC1, and LPL was greater in the loin than in the chuck or round (age × muscle interaction P < 0.001), although the MUFA:SFA ratio was greater in the chuck than in the loin or round (muscle effect P < 0.001). In conclusion, adipogenic gene expression was greater in the loin than in the chuck or round muscles, consistent with the greater %IML of the loin. However, the greater SCD gene expression in the loin did not result in a greater amount of MUFA in the loin, relative to the chuck and round.

Project description:Identification of genetic variants that are associated with fatty acid composition in beef will enhance our understanding of host genetic influence on the trait and also allow for more effective improvement of beef fatty acid profiles through genomic selection and marker-assisted diet management. In this study, 81 and 83 fatty acid traits were measured in subcutaneous adipose (SQ) and longissimus lumborum muscle (LL), respectively, from 1366 purebred and crossbred beef steers and heifers that were genotyped on the Illumina BovineSNP50 Beadchip. The objective was to conduct genome-wide association studies (GWAS) for the fatty acid traits and to evaluate the accuracy of genomic prediction for fatty acid composition using genomic best linear unbiased prediction (GBLUP) and Bayesian methods.In total, 302 and 360 significant SNPs spanning all autosomal chromosomes were identified to be associated with fatty acid composition in SQ and LL tissues, respectively. Proportions of total genetic variance explained by individual significant SNPs ranged from 0.03 to 11.06% in SQ, and from 0.005 to 24.28% in the LL muscle. Markers with relatively large effects were located near fatty acid synthase (FASN), stearoyl-CoA desaturase (SCD), and thyroid hormone responsive (THRSP) genes. For the majority of the fatty acid traits studied, the accuracy of genomic prediction was relatively low (<0.40). Relatively high accuracies (>?=?0.50) were achieved for 10:0, 12:0, 14:0, 15:0, 16:0, 9c-14:1, 12c-16:1, 13c-18:1, and health index (HI) in LL, and for 12:0, 14:0, 15:0, 10 t,12c-18:2, and 11 t,13c?+?11c,13 t-18:2 in SQ. The Bayesian method performed similarly as GBLUP for most of the traits but substantially better for traits that were affected by SNPs of large effects as identified by GWAS.Fatty acid composition in beef is influenced by a few host genes with major effects and many genes of smaller effects. With the current training population size and marker density, genomic prediction has the potential to predict the breeding values of fatty acid composition in beef cattle at a moderate to relatively high accuracy for fatty acids that have moderate to high heritability.

Dataset Information

Distinct correlations between lipogenic gene expression and fatty acid composition of subcutaneous fat among cattle breeds.

Publications

Distinct correlations between lipogenic gene expression and fatty acid composition of subcutaneous fat among cattle breeds.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets