已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Improvement of Livestock Breeding Strategies Using Physiologic and Functional Genomic Information of the Muscle Regulatory Factors Gene Family for Skeletal Muscle Development

骨骼肌 肌生成素 生物 基因 肌肉肥大 遗传学 转录因子 细胞生物学 解剖 内分泌学
作者
M.F.W. te Pas,A. Soumillion
出处
期刊:Current Genomics [Bentham Science Publishers]
卷期号:2 (3): 285-304 被引量:35
标识
DOI:10.2174/1389202013350788
摘要

A defined number of skeletal muscle fibers are formed in two separate waves during prenatal development, while postnatal growth is restricted to hypertrophic muscle fiber growth. The genes of the MRF (muscle regulatory factors) gene family, consisting of 4 structurally related transcription factors - myogenin, MyoD1, myf-5, and MRF4 - regulate both skeletal muscle fiber development and postnatal hypertrophic growth. In meat producing animals, skeletal muscle tissue becomes meat after slaughtering. Skeletal muscle fibers are the major cell type of meat mass. Thus, differences in the activity of the MRF gene family may be very important for the amount of meat deposited in these animals, which is of major economic importance. Therefore, the MRF genes can be considered as potential candidate genes to investigate the relation between genomic variation in these genes and skeletal muscle mass, and thus meat mass. In this review we discuss the MRF gene family in relation to meat production, and show that information of genomic variation in these functional genes, and variation in their expression provide information that can be used in commercial breeding. Furthermore, we will review experiments that show that hormones, growth factors, and specific drugs can affect the expression of these genes, thus potentially affecting skeletal muscle mass and thus meat mass, offering several potential strategies for steering of meat production, and showing the power of functional genomics. Using the genetic information available from these experiments, ways to speed up genetic improvement of livestock breeding and future research directions will be highlighted. Keywords: skeletal muscle fibers, mrf muscle regulatory factors, Knock out, Myogenin, myf, MyoD, Mrf

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
1秒前
内向的青荷完成签到,获得积分10
1秒前
1秒前
nanaimo完成签到 ,获得积分10
4秒前
ccc发布了新的文献求助10
4秒前
Verity的应助被初景采纳,获得10
6秒前
无私藏鸟发布了新的文献求助10
7秒前
动听的逍遥完成签到,获得积分10
7秒前
7秒前
9秒前
徐文慢完成签到,获得积分20
9秒前
会做饭的才是好厨子完成签到,获得积分10
13秒前
null的应助被木马木马采纳,获得10
13秒前
CipherSage的应助被昏睡的芒果采纳,获得10
13秒前
科研通AI2S的应助被蓝色天空采纳,获得10
13秒前
wl发布了新的文献求助10
18秒前
19秒前
动听的安寒完成签到,获得积分10
19秒前
19秒前
lsn完成签到 ,获得积分10
20秒前
22秒前
23秒前
黑暗炸鸡发布了新的文献求助10
26秒前
不爱吃葱完成签到 ,获得积分10
26秒前
蓝色天空发布了新的文献求助10
27秒前
沉静的盼曼完成签到,获得积分10
27秒前
27秒前
fasdf完成签到,获得积分10
29秒前
情怀的应助被忧伤的小天鹅采纳,获得30
29秒前
赘婿的应助被无私藏鸟采纳,获得10
30秒前
今后的应助被Lin采纳,获得10
31秒前
星辰大海的应助被lll采纳,获得10
32秒前
33秒前
完美世界的应助被飞快的千万采纳,获得10
34秒前
35秒前
36秒前
清飏发布了新的文献求助10
36秒前
科研通AI6.4的应助被小川采纳,获得10
38秒前
蓝色天空完成签到,获得积分10
40秒前
41秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
Decentring Leadership 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7809312
求助须知:如何正确求助?哪些是违规求助? 9341595
关于积分的说明 20507476
捐赠科研通 7401805
什么是DOI,文献DOI怎么找? 3329077
关于科研通互助平台的介绍 2475847
邀请新用户注册赠送积分活动 2347651