Analysis of large versus small dogs reveals three genes on the canine X chromosome associated with body weight, muscling and back fat thickness

生物 遗传学 单核苷酸多态性 索引 全基因组关联研究 SNP公司 繁殖 数量性状位点 候选基因 基因 基因型
作者
Jocelyn Plassais,Maud Rimbault,Falina J. Williams,Brian W. Davis,Jeffrey J. Schoenebeck,Elaine A. Ostrander
出处
期刊:PLOS Genetics [Public Library of Science]
卷期号:13 (3): e1006661-e1006661 被引量:42
标识
DOI:10.1371/journal.pgen.1006661
摘要

Domestic dog breeds display significant diversity in both body mass and skeletal size, resulting from intensive selective pressure during the formation and maintenance of modern breeds. While previous studies focused on the identification of alleles that contribute to small skeletal size, little is known about the underlying genetics controlling large size. We first performed a genome-wide association study (GWAS) using the Illumina Canine HD 170,000 single nucleotide polymorphism (SNP) array which compared 165 large-breed dogs from 19 breeds (defined as having a Standard Breed Weight (SBW) >41 kg [90 lb]) to 690 dogs from 69 small breeds (SBW ≤41 kg). We identified two loci on the canine X chromosome that were strongly associated with large body size at 82–84 megabases (Mb) and 101–104 Mb. Analyses of whole genome sequencing (WGS) data from 163 dogs revealed two indels in the Insulin Receptor Substrate 4 (IRS4) gene at 82.2 Mb and two additional mutations, one SNP and one deletion of a single codon, in Immunoglobulin Superfamily member 1 gene (IGSF1) at 102.3 Mb. IRS4 and IGSF1 are members of the GH/IGF1 and thyroid pathways whose roles include determination of body size. We also found one highly associated SNP in the 5’UTR of Acyl-CoA Synthetase Long-chain family member 4 (ACSL4) at 82.9 Mb, a gene which controls the traits of muscling and back fat thickness. We show by analysis of sequencing data from 26 wolves and 959 dogs representing 102 domestic dog breeds that skeletal size and body mass in large dog breeds are strongly associated with variants within IRS4, ACSL4 and IGSF1.

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
1秒前
英姑应助野性的飞绿采纳,获得10
1秒前
2秒前
Akoasm发布了新的文献求助10
3秒前
压痕发布了新的文献求助10
3秒前
3秒前
4秒前
lzx完成签到,获得积分10
5秒前
5秒前
jiuzhen发布了新的文献求助10
5秒前
ljc发布了新的文献求助10
6秒前
hiha完成签到,获得积分0
6秒前
lyc发布了新的文献求助10
7秒前
123完成签到,获得积分20
8秒前
orixero应助掏粪男孩采纳,获得10
8秒前
啵啵应助清新的代荷采纳,获得10
9秒前
orixero应助儒雅的杨采纳,获得10
9秒前
隐形曼青应助zddhhh采纳,获得10
11秒前
11秒前
11秒前
万能图书馆应助hxy采纳,获得30
12秒前
英俊的铭应助现代丹亦采纳,获得10
12秒前
平淡萍发布了新的文献求助10
12秒前
13秒前
13秒前
夭夭完成签到 ,获得积分10
14秒前
15秒前
zxf发布了新的文献求助10
16秒前
16秒前
BZPL发布了新的文献求助200
17秒前
SciGPT应助万事如意采纳,获得10
17秒前
CYPCYP发布了新的文献求助10
17秒前
lklklk完成签到,获得积分10
18秒前
英姑应助言瓒采纳,获得30
18秒前
fanfei完成签到,获得积分10
18秒前
sky11完成签到,获得积分10
19秒前
blush完成签到,获得积分10
20秒前
22秒前
默11发布了新的文献求助10
22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
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7617112
求助须知:如何正确求助?哪些是违规求助? 9192425
关于积分的说明 19700058
捐赠科研通 7189502
什么是DOI,文献DOI怎么找? 3271994
关于科研通互助平台的介绍 2434749
邀请新用户注册赠送积分活动 2266986