Brief introduction to whole-genome selection in cattle using single nucleotide polymorphisms

SNP公司 单核苷酸多态性 选择(遗传算法) 生物 SNP基因分型 遗传学 核苷酸多型性 遗传增益 人口 SNP阵列 计算生物学 遗传变异 基因型 计算机科学 基因 机器学习 医学 环境卫生
作者
G.E. Seidel
出处
期刊:Reproduction, Fertility and Development [CSIRO Publishing]
卷期号:22 (1): 138-144 被引量:63
标识
DOI:10.1071/rd09220
摘要

Genomic selection using single nucleotide polymorphisms (SNPs) is a powerful new tool for genetic selection. In cattle, SNP profiles for individual animals are generated using a small plastic chip that is diagnostic for up to 50 000 SNPs spaced throughout the genome. Phenotypes, usually averaged over offspring of bulls, are matched with SNP profiles of bulls mathematically so that animals can be ranked for siring desirable phenotypes via their SNP profiles. For many traits in dairy cattle, the rate of genetic improvement can be nearly doubled when SNP information is used in addition to current methods of genetic evaluation. Separate SNP analyses need to be developed for different populations (e.g. the system for Holsteins is not useful for Jerseys). In addition, the value of these systems is very dependent on the number of accurate phenotypes matched with SNP profiles; for example, increasing the number of North American Holstein bulls evaluated from 1151 to 3576 quadrupled the additional genetic gain in net merit from this approach. Thus, the available information will be insufficient to exploit this technology fully for most populations. However, once a valid SNP evaluation system is developed, any animal in that population, including embryos, can be evaluated with similar accuracy. Biopsying embryos and screening them via SNP analysis will greatly enhance the value of this technology by minimising generation intervals.

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
刚刚
在水一方应助不安问晴采纳,获得10
刚刚
研友_VZG7GZ应助清晨的小鹿采纳,获得10
刚刚
科研通AI6.4应助superyang采纳,获得10
1秒前
Owen应助Andrew采纳,获得10
2秒前
2秒前
2秒前
彭于晏应助憨憨采纳,获得10
3秒前
JamesPei应助小北采纳,获得10
3秒前
任性的友桃完成签到 ,获得积分10
4秒前
song完成签到,获得积分10
6秒前
7秒前
烟花应助MMMM采纳,获得10
9秒前
10秒前
Halo发布了新的文献求助30
10秒前
11秒前
鳗鱼元风应助复杂海采纳,获得10
11秒前
星辰大海应助小Q采纳,获得10
12秒前
yurihuang发布了新的文献求助10
12秒前
研友_VZG7GZ应助yc采纳,获得10
12秒前
12秒前
13秒前
xin11发布了新的文献求助10
14秒前
春见发布了新的文献求助30
15秒前
15秒前
哈哈哈哈发布了新的文献求助10
16秒前
rsd发布了新的文献求助10
17秒前
infinity发布了新的文献求助10
17秒前
深情安青应助pxy采纳,获得10
17秒前
17秒前
17秒前
从容的萤发布了新的文献求助30
20秒前
大个应助机智跳跳糖采纳,获得10
20秒前
jhb发布了新的文献求助10
20秒前
852应助CYJ采纳,获得10
21秒前
刻苦大侠发布了新的文献求助20
22秒前
哈哈哈哈完成签到,获得积分10
23秒前
憨憨发布了新的文献求助10
23秒前
xin11完成签到,获得积分10
24秒前
24秒前
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
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Physiologic specialization in Peronospora manshurica 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7777229
求助须知:如何正确求助?哪些是违规求助? 9318314
关于积分的说明 20363610
捐赠科研通 7364312
什么是DOI,文献DOI怎么找? 3318873
关于科研通互助平台的介绍 2466526
邀请新用户注册赠送积分活动 2334092