Assessment the effect of genomic selection and detection of selective signature in broilers

遗传力 生物 遗传相关 选择(遗传算法) 腹部脂肪 动物科学 遗传变异 遗传学 基因 体重 内分泌学 计算机科学 人工智能
作者
Xiaodong Tan,Ranran Liu,Ranran Liu,Maiqing Zheng,Dan Zhu,Dawei Liu,Furong Feng,Qinghe Li,Li Liu,Jie Wen,Guiping Zhao
出处
期刊:Poultry Science [Elsevier BV]
卷期号:101 (6): 101856-101856 被引量:16
标识
DOI:10.1016/j.psj.2022.101856
摘要

Due to high selection advances and shortened generation interval, genomic selection (GS) is now an effective animal breeding scheme. In broilers, many studies have compared the accuracy of different GS prediction methods, but few reports have demonstrated phenotypic or genetic changes using GS. In this study, the paternal chicken line B underwent continuous selection for 3 generations. The chicken 55 k SNP chip was used to estimate the genetic parameters and detect genomic response regions by selective sweep analysis. The heritability for body weight (BW), meat production, and abdominal fat traits were ranged from 0.12 to 0.38. A high genetic correlation was found between BW and meat production traits, while a low genetic correlation (<0.1) was found between meat production and abdominal fat traits. Selection resulted in an increase of about 516 g in BW and 140 g in breast muscle weight. Percentage of breast muscle and whole thigh were increased 0.8 to 1.5%. No change was observed in abdominal fat percentage. The genomic estimated breeding value advances was positive for BW and meat production (except whole thigh percentage), while negative for abdominal fat percentage. By selective sweep analysis, 39 common chromosomal regions and 102 protein coding genes were found to be influenced, including MYH1A, MYH1B, and MYH1D of the MYH gene family. Tight junction pathway as well as myosin complex related terms were enriched. This study demonstrates the effective use of GS for improvements in BW and meat production in chicken line B. Further, genomic regions, responsive to intensive genetic selection, were identified to contain genes of the MYH family.
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
喵喵完成签到 ,获得积分10
1秒前
乐乐应助simon采纳,获得10
4秒前
酸菜鱼火锅完成签到,获得积分10
7秒前
健忘丹珍完成签到,获得积分10
9秒前
优秀的流沙完成签到,获得积分10
11秒前
aromatherapy完成签到,获得积分10
12秒前
朱晖完成签到 ,获得积分10
12秒前
che完成签到 ,获得积分10
13秒前
14秒前
小柏学长完成签到,获得积分10
15秒前
ding7862完成签到,获得积分10
16秒前
Jason完成签到,获得积分10
16秒前
万能图书馆应助煜琪采纳,获得10
17秒前
18秒前
simon发布了新的文献求助10
19秒前
辛勤夜安完成签到,获得积分10
20秒前
ddd666完成签到 ,获得积分10
25秒前
谨慎纸飞机完成签到,获得积分10
27秒前
薛强完成签到,获得积分10
27秒前
Gaolongzhen完成签到 ,获得积分10
28秒前
wangliang0329完成签到,获得积分10
31秒前
繁星背后完成签到,获得积分10
32秒前
赵赵完成签到 ,获得积分10
33秒前
Fyh19901116完成签到,获得积分10
41秒前
猪哥完成签到 ,获得积分10
43秒前
44秒前
星辰大海应助王一一采纳,获得10
51秒前
zzzz完成签到,获得积分10
52秒前
Jerry完成签到 ,获得积分10
57秒前
boymin2015完成签到 ,获得积分10
58秒前
zzzz完成签到,获得积分10
1分钟前
科研通AI6.3应助Mollymama采纳,获得10
1分钟前
Java完成签到,获得积分0
1分钟前
1分钟前
幸福耷完成签到 ,获得积分10
1分钟前
1分钟前
王一一发布了新的文献求助10
1分钟前
找回自己完成签到,获得积分10
1分钟前
函数完成签到 ,获得积分10
1分钟前
瓦洛佳完成签到,获得积分10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Development Across Adulthood 800
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6444828
求助须知:如何正确求助?哪些是违规求助? 8258624
关于积分的说明 17591695
捐赠科研通 5504530
什么是DOI,文献DOI怎么找? 2901588
邀请新用户注册赠送积分活动 1878538
关于科研通互助平台的介绍 1718137