Expression of fat deposition and fat removal genes is associated with intramuscular fat content in longissimus dorsi muscle of Korean cattle steers1

肌内脂肪 脂肪甘油三酯脂肪酶 CD36 脂肪酸合酶 脂肪酸 脂蛋白脂酶 激素敏感脂肪酶 脂肪生成 内分泌学 生物 化学 脂滴 酰基转移酶 脂解 生物化学 基因表达 内科学 脂肪组织 肉碱 基因 医学
作者
Jin Young Jeong,Eung Gi Kwon,Seok Ki Im,Kang Seok Seo,Myunggi Baik
出处
期刊:Journal of Animal Science [Oxford University Press]
卷期号:90 (6): 2044-2053 被引量:108
标识
DOI:10.2527/jas.2011-4753
摘要

Intramuscular fat (IMF) in cattle is an important component of traits that influence meat quality. We measured carcass characteristics and gene expression in Korean steers to clarify the molecular mechanism(s) underlying IMF deposition in LM tissue by determining the correlation between IMF content and gene expression abundance and by developing models to predict IMF content using gene expression abundance. The deposition of IMF is determined by a balance between fat deposition and fat removal in the LM. We measured mRNA abundance of lipid metabolic genes including lipogenesis [acetyl CoA carboxylase (ACC), fatty acid synthase (FASN)], fatty lipid uptake [lipoprotein lipase (LPL), fatty acid translocase (CD36), fatty acid transport protein 1 (FATP1)], fatty acid esterification [glycerol-3-phosphate acyltransferase 1 (GPAT1), acylglycerol phosphate acyltransferase 1 (AGPAT1), diacylglycerol acyltransferase 1 (DGAT1), DGAT2], lipolysis [adipose triglyceride lipase (ATGL), hormone-sensitive lipase (HSL), monoglyceride lipase (MGL)], and fatty acid oxidation [carnitine palmitoyl transferase 1B, very long-chain acyl-CoA dehydrogenase (VLCAD), medium-chain acyl-CoA dehydrogenase (MCAD)] in the LM. The mRNA abundance of the GPAT1 gene showed the greatest correlation (r = 0.74; P < 0.001) with IMF content among 9 fat deposition genes. The gene expression abundance of other fat deposition genes including ACC, FASN, LPL, CD36, FATP1, AGPAT1, DGAT1, and DGAT2 also exhibited significant positive correlations (P < 0.05) with IMF content in the LM. Conversely, ATGL mRNA abundance showed the greatest negative correlation (r = -0.68; P < 0.001) with IMF content in the LM among 6 fat removal genes. The expression of other fat removal genes including MGL, VLCAD, and MCAD showed significant negative correlations (P < 0.05) with IMF content. Our findings show that the combined effects of increases in lipogenesis, fatty acid uptake, fatty acid esterification, and of decreases in lipolysis and fatty acid oxidation contribute to increasing IMF deposition in Korean steers. The multiple regression analysis revealed that the mRNA abundance of the GPAT1 gene in the LM was the first major variable predicting IMF content (54%) among 15 lipid metabolic genes. The second was mRNA abundance of ATGL (11%). In conclusion, these results suggest that GPAT1 and ATGL genes could be used as genetic markers to predict IMF deposition in the LM.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
vision发布了新的文献求助10
1秒前
桑榆非晚完成签到,获得积分10
1秒前
hui完成签到,获得积分20
1秒前
baby的跑男完成签到,获得积分10
1秒前
Faith完成签到,获得积分10
2秒前
2秒前
Mercurius完成签到,获得积分10
3秒前
3秒前
3秒前
ganzhongxin完成签到,获得积分10
3秒前
12356完成签到,获得积分10
3秒前
4秒前
今后应助白华苍松采纳,获得10
4秒前
跳跃乘风发布了新的文献求助20
4秒前
不舍天真发布了新的文献求助20
5秒前
坚强的樱发布了新的文献求助10
5秒前
温暖以蓝发布了新的文献求助10
5秒前
5秒前
wanci应助幸福胡萝卜采纳,获得10
5秒前
5秒前
Ych发布了新的文献求助10
5秒前
gjy完成签到,获得积分10
6秒前
vision完成签到,获得积分10
6秒前
小小发布了新的文献求助10
6秒前
Katie完成签到,获得积分10
6秒前
LT发布了新的文献求助10
6秒前
7秒前
科研人完成签到,获得积分10
7秒前
FashionBoy应助彭彭采纳,获得10
7秒前
赤邪发布了新的文献求助10
8秒前
Owen应助lwei采纳,获得10
8秒前
shelly0621给shelly0621的求助进行了留言
8秒前
青木蓝完成签到,获得积分10
8秒前
8秒前
迅速泽洋完成签到,获得积分10
9秒前
dan1029完成签到,获得积分10
9秒前
小王完成签到,获得积分10
9秒前
李繁蕊发布了新的文献求助10
9秒前
10秒前
10秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527742
求助须知:如何正确求助?哪些是违规求助? 3107867
关于积分的说明 9286956
捐赠科研通 2805612
什么是DOI,文献DOI怎么找? 1540026
邀请新用户注册赠送积分活动 716884
科研通“疑难数据库(出版商)”最低求助积分说明 709762