Genome-wide interval mapping using SNPs identifies new QTL for growth, body composition and several physiological variables in an F2 intercross between fat and lean chicken lines.
Genome-wide interval mapping using SNPs identifies new QTL for growth, body composition and several physiological variables in an F2 intercross between fat and lean chicken lines.
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DOI：
10.1186/1297-9686-45-36
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发表时间：
2013-09-30
期刊：
影响因子：
--
通讯作者：
Le Bihan-Duval E
中科院分区：
文献类型：
--
作者：
Demeure O;Duclos MJ;Bacciu N;Le Mignon G;Filangi O;Pitel F;Boland A;Lagarrigue S;Cogburn LA;Simon J;Le Roy P;Le Bihan-Duval E
几十年来，基于测量生长和身体成分性状的遗传改良已经成功地应用于肉鸡的生产。然而，这种传统的方法受到一些性状之间的拮抗遗传相关性和测量身体成分性状的高昂成本的阻碍。分子标记辅助选择应该通过选择只影响一个性状或影响多个性状但具有良好遗传相关性的基因座来克服这些问题。在本研究中，通过用中等密度遗传图谱(120个微卫星和1302个单核苷酸多态)对腹型肥胖不同选择的脂肪和瘦肉系之间的F2杂交进行基因分析，来鉴定这些基因座。基因组扫描连锁分析包括生长(1、3、5和7周时的体重，9周时的小腿长度和直径)、9周时的身体组成(腹脂重量和百分比、胸肌重量和百分比、大腿重量和百分比)以及7周时的几项生理指标，即禁食状态下的体温和血浆IGF-I、NEFA和葡萄糖水平。利用QTLMap软件进行区间作图分析，包括同一染色体上单个和多个QTL的单性状分析。共检测到67个QTL，其中大部分是以前从未描述过的。在这67个QTL中，47个是通过单QTL分析检测到的，20个是通过多QTL分析检测到的，这突出了使用不同统计模型的重要性。对位于指定区间内的基因的仔细分析确定了几个相关的功能候选基因，如ACACA代表腹部脂肪，GHSR和GAS1代表胸肌重量，DCRX和ASPSCR1代表血糖含量，ChEBP代表小腿直径。中等密度遗传图谱使我们能够对影响所研究性状的鸡基因组的新区域(包括微染色体)进行基因分型。有了这个标记密度，可信区间就足够小(平均1400 cM)来搜索候选基因。总之，这些新的信息为鉴定控制肉鸡生长、身体组成和代谢性状的重要QTL的致病基因提供了一个有价值的起点。
For decades, genetic improvement based on measuring growth and body composition traits has been successfully applied in the production of meat-type chickens. However, this conventional approach is hindered by antagonistic genetic correlations between some traits and the high cost of measuring body composition traits. Marker-assisted selection should overcome these problems by selecting loci that have effects on either one trait only or on more than one trait but with a favorable genetic correlation. In the present study, identification of such loci was done by genotyping an F2 intercross between fat and lean lines divergently selected for abdominal fatness genotyped with a medium-density genetic map (120 microsatellites and 1302 single nucleotide polymorphisms). Genome scan linkage analyses were performed for growth (body weight at 1, 3, 5, and 7 weeks, and shank length and diameter at 9 weeks), body composition at 9 weeks (abdominal fat weight and percentage, breast muscle weight and percentage, and thigh weight and percentage), and for several physiological measurements at 7 weeks in the fasting state, i.e. body temperature and plasma levels of IGF-I, NEFA and glucose. Interval mapping analyses were performed with the QTLMap software, including single-trait analyses with single and multiple QTL on the same chromosome. Sixty-seven QTL were detected, most of which had never been described before. Of these 67 QTL, 47 were detected by single-QTL analyses and 20 by multiple-QTL analyses, which underlines the importance of using different statistical models. Close analysis of the genes located in the defined intervals identified several relevant functional candidates, such as ACACA for abdominal fatness, GHSR and GAS1 for breast muscle weight, DCRX and ASPSCR1 for plasma glucose content, and ChEBP for shank diameter. The medium-density genetic map enabled us to genotype new regions of the chicken genome (including micro-chromosomes) that influenced the traits investigated. With this marker density, confidence intervals were sufficiently small (14 cM on average) to search for candidate genes. Altogether, this new information provides a valuable starting point for the identification of causative genes responsible for important QTL controlling growth, body composition and metabolic traits in the broiler chicken.
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DOI：
10.1016/j.bbamcr.2010.12.021
发表时间：
2011-03-01
影响因子：
5.1
作者：
Hanke, Nina;Scheibe, Renate J.;Meissner, Joachim D.
通讯作者：
Meissner, Joachim D.
影响因子：
4.4
作者：
GERAERT, PA;MACLEOD, MG;LECLERCQ, B
通讯作者：
LECLERCQ, B
DOI：
10.1017/s0016672304006779
发表时间：
2004-06-01
期刊：
GENETICAL RESEARCH
影响因子：
--
作者：
Carlborg, R;Hocking, PM;Haley, CS
通讯作者：
Haley, CS
影响因子：
2.4
作者：
Le Mignon, G.;Pitel, F.;Le Roy, P.
通讯作者：
Le Roy, P.
影响因子：
4.8
作者：
Adamo, Martin L.;Ma, Xiuye;Rosen, Clifford J.
通讯作者：
Rosen, Clifford J.