联系我们 加入收藏
 
年期检索 高级检索
33
2025年5月3日 星期六
  2015, Vol. 23 Issue (8): 1067-1075    
  研究论文与报告 本期目录 | 过刊浏览 | 高级检索 |
基于简化基因组测序的京海黄鸡上市体重全基因组关联分析
张涛1,王文浩2,张向前1,张跟喜3,王金玉3,韩昆鹏1,王永娟2
1. 扬州大学
2.
3. 扬州大学动物科学与技术学院
Genome-wide Association Study on Market Weight Based on Specific-locus Amplified Fragment Sequencing (SLAF-seq) in Jinghai Yellow Chicken (Gallus gallus)
全文: PDF (3400 KB)   HTML (1 KB) 
输出: BibTeX | EndNote (RIS)      
摘要 为了揭示京海黄鸡(Gallus gallus)上市体重性状的遗传基础,寻找可用于京海黄鸡上市体重性状改良的分子标记及候选基因,本研究以京海黄鸡核心群母鸡为基础,测定了400只母鸡16周龄时上市体重,利用简化基因组测序技术进行全基因组关联分析(genome-wide association study, GWAS),筛选与上市体重相关的单链核苷酸多态性(single nucleotide polymorphisms, SNPs)位点。结果利用一般线性模型(general liner model, GLM)共检测到15个与京海黄鸡上市体重显著相关的SNPs位点,其中4个位点达到全基因组显著水平(P<1.87E-06),11个位点达到全基因组潜在显著水平(P<3.73E-05);利用混合线性模型(mixed linear model, MLM)筛选到6个与京海黄鸡上市体重显著相关的SNPs位点,其中2个SNPs位点达到全基因组显著水平(P<1.87E-06),4个位点达到全基因组潜在显著水平(P<3.73E-05)。两种模型筛选到6个相同的显著SNPs位点,分别为rs1169337928、rs475641139、rs31633105、rs475856030、rs476878211和rs477915563。筛选每个显著SNP周围1 Mb区域内的基因,共找到14个可能的候选基因,其中FAM124A、QDPR、BCL11A、LDB2、BOD1L1和WDR1 6个基因可能为影响上市体重的重要候选基因。同时还发现, 14个SNPs中有9个集中分布在4号染色体上的75.641~79.592 Mb的区域内,表明该区域是影响京海黄鸡上市体重的重要候选区域。本研究为京海黄鸡的分子标记辅助选育提供理论素材。
服务
把本文推荐给朋友
加入我的书架
加入引用管理器
E-mail Alert
RSS
作者相关文章
张涛
王文浩
张向前
张跟喜
王金玉
韩昆鹏
王永娟
关键词 简化基因组测序京海黄鸡上市体重全基因组关联分析    
Abstract:In order to reveal the genetic basis of market weight trait and scan molecular markers and candidate genes which can be used to improve the market trait, market weight of 400 female Jinghai yellow chicken (Gallus gallus) in core group was measured at 16 weeks of age. Genome-wide association study (GWAS) was carried out using specific-locus amplified fragment sequencing technology to detect nucleotide polymorphisms (SNPs) associated with market weight. Finally, 15 single SNPs that associated with market weight were detected using General liner model (GLM). Four SNPs reached 5% Bonferroni genome-wide significance (P<1.87E-06) and 11 SNPs reached “suggestive” genome-wide significance (P<3.73E-05). 6 SNPs that associated with market weight were detected using mixed linear model (MLM). 2 SNPs reached 5% Bonferroni genome-wide significance (P<1.87E-06) and 4 SNPs reached “suggestive” genome-wide significance (P<3.73E-05). 6 SNPs of rs1169337928, rs475641139, rs31633105, rs475856030, rs476878211 and rs477915563 were detected both using GLM and MLM. Genes in the candidate regions with 1-Mb windows (SNP position±0.5 Mb) surrounding each significant SNP were screened. Finally, 14 candidate genes were obtained, among which 6 genes of FAM124A, QDPR, BCL11A, LDB2, BOD1L1 and WDR1 might be important candidate genes influencing market weight. Furthermore, It was also found that 9 out of 14 SNPs were distributed in the region of 75.641~79.592 Mb on chromosome 4, and this region was important candidate region which influenced the market weight of Jinghai yellow chicken. This study provides theory material for marker assisted selection of Jinghai yellow chicken.
Key wordsSLAF-seq    Jinghai yellow chicken    Market weight    Genome-wide association study (GWAS)
收稿日期: 2015-01-16      出版日期: 2015-06-01
基金资助:国家肉鸡产业技术技术体系
通讯作者: 王金玉     E-mail: jywang@yzu.edu.cn;lywang_lv@126.com
引用本文:   
张涛 王文浩 张向前 张跟喜 王金玉 韩昆鹏 王永娟. 基于简化基因组测序的京海黄鸡上市体重全基因组关联分析[J]. , 2015, 23(8): 1067-1075.
链接本文:  
http://journal05.magtech.org.cn/Jwk_ny/CN/     或     http://journal05.magtech.org.cn/Jwk_ny/CN/Y2015/V23/I8/1067
 
版权所有 © 2014 《农业生物技术学报》编辑部   京ICP备11035905号-3
地址:北京市海淀区圆明园西路2号中国农业大学生命科学楼1053室 邮编:100193
电话:010-62733684 传真:010-62731615 E-mail: nsjxb@cau.edu.cn