京海黄鸡体重性状全基因组关联分析

doi:10.16288/j.yczz.15-080

遗传 ›› 2015, Vol. 37 ›› Issue (8): 811-820.doi: 10.16288/j.yczz.15-080

京海黄鸡体重性状全基因组关联分析

张涛^{1, 2}, 王文浩^{1, 2}, 张跟喜^{1, 2}, 王金玉^{1, 2}, 薛倩^{1, 2}, 顾玉萍³

1. 扬州大学动物科学与技术学院,扬州 225009;
2. 江苏省动物遗传繁育与分子设计重点实验室,扬州 225009;
3. 江苏京海集团,南通 226103

收稿日期:2015-02-11 修回日期:2015-04-13 出版日期:2015-08-20 发布日期:2015-08-20
通讯作者: 王金玉,教授,博士生导师,研究方向：动物遗传育种与繁殖。E-mail: jywang@yzu.edu.cn
作者简介:张涛,博士研究生,研究方向：动物遗传育种与繁殖。E-mail: zt991279320@126.com
基金资助:
国家肉鸡产业技术体系项目(编号：nycytx-42-G1-05),江苏高校优势学科建设工程项目和江苏省动物遗传繁育与分子设计重点实验室项目资助

A genome-wide association study on body weight traits of Jinghai yellow chicken

Tao Zhang^{1, 2}, Wenhao Wang^{1, 2}, Genxi Zhang^{1, 2}, Jinyu Wang^{1, 2}, Qian Xue^{1, 2}, Yuping Gu³

1. College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China;
2. Key Laboratory of Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou 225009, China;
3. Jiangsu Jinghai Poultry Group Co., Ltd., Nantong 226103, China

Received:2015-02-11 Revised:2015-04-13 Online:2015-08-20 Published:2015-08-20

摘要/Abstract

摘要： 体重性状是肉鸡重要的经济性状。为了寻找可用于京海黄鸡体重性状遗传改良的分子标记及候选基因,本文以400只京海黄鸡核心群母鸡为基础,测定了0~14周龄体重,利用简化基因组测序技术(Specific-locus amplified fragment sequencing, SLAF-seq)对京海黄鸡体重性状进行全基因组关联研究(Genome-wide association stndy, GWAS),筛选与京海黄鸡体重性状相关的SNPs位点。结果共检测到100个与京海黄鸡体重相关的SNPs位点,其中15个位点效应达到全基因组显著水平(P<1.87E-06),85个位点效应达到全基因组潜在显著水平(P<3.73E-05)。通过筛选每个显著SNP周围1 Mb区域内的基因,共找到9个可能的候选基因,其中FAM124A(Family with sequence similarity 124A)、QDPR(Quinoid dihydropteridine reductase)、WDR1(WD repeat domain 1)和SLC2A9(Solute carrier family 2 (facilitated glucose transporter), member 9) 4个基因可能是影响体重性状的重要候选基因。同时还发现,4号染色体75.6~80.7 Mb区域集中了大部分与京海黄鸡中后期体重性状显著相关的SNPs位点,该区域可能是影响京海黄鸡中后期生长体重的重要候选区域。

关键词: 京海黄鸡, 全基因组关联分析, 体重性状, 简化基因组测序

Abstract: Body weight traits are important economic characters of broilers. This study was carried out to screen for molecular markers and candidate genes that can be used to improve the body weight traits. A herd of 400 female Jinghai yellow chickens were measured for body weights from 0 to 14 weeks of age. Genome-wide association study (GWAS) was carried out using specific-locus amplified fragment sequencing (SLAF-seq) technology to detect SNPs associated with body weight traits of Jinghai yellow chicken. Finally, 100 SNPs that associated with body weight traits were detected. The results showed that effects of 15 SNPs reached 5% Bonferroni genome-wide significance and 85 SNPs reached potential genome-wide significance. Genes in the candidate regions with 1 Mb windows (SNP position ±0.5 Mb) surrounding each significant SNP were screened. Finally, nine candidate genes were obtained, among which four genes of FAM124A (Family with sequence similarity 124A), QDPR (Quinoid dihydropteridine reductase), WDR1 (WD repeat domain 1) and SLC2A9 (Solute carrier family 2 (facilitated glucose transporter), member 9) might be important candidate genes influencing body weight traits of Jinghai yellow chicken. Furthermore, it was also found that most SNPs associated with mid and late growth and body weights were intensively located in the region of 75.6?80.7 Mb on chromosome 4. Our study thus provides a basis for genetic understanding of the Jinghai yellow chicken body weight traits.

Key words: Jinghai yellow chicken, GWAS, body weight traits, SLAF-seq

张涛, 王文浩, 张跟喜, 王金玉, 薛倩, 顾玉萍. 京海黄鸡体重性状全基因组关联分析[J]. 遗传, 2015, 37(8): 811-820.

Tao Zhang, Wenhao Wang, Genxi Zhang, Jinyu Wang, Qian Xue, Yuping Gu. A genome-wide association study on body weight traits of Jinghai yellow chicken[J]. HEREDITAS(Beijing), 2015, 37(8): 811-820.

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京海黄鸡体重性状全基因组关联分析

A genome-wide association study on body weight traits of Jinghai yellow chicken

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