tailieunhanh - Báo cáo sinh học: " SNP mapping of QTL affecting growth and fatness on chicken GGA1"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học thế giới đề tài: SNP mapping of QTL affecting growth and fatness on chicken GGA1 | Genet. Sel. Evol. 39 2007 569-582 Available online at INRA EDP Sciences 2007 DOI gse 2007022 Original article SNP mapping of QTL affecting growth and fatness on chicken GGA1 Yousheng RAOa b Xu SHENa Mengna XlAa Chenglong Luoa Qinghua NlEa Dexiang ZHANGa Xiquan Zhanga a Department of Animal Genetics Breeding and Reproduction College of Animal Science South China Agricultural University Guangzhou 510642 Guangdong China b College of Science Jiangxi Educational Institute Nanchang 330029 Jiangxi China Received 28 August 2006 accepted 23 April 2007 Abstract - An F2 chicken population was established from a crossbreeding between a Xinghua line and a White Recessive Rock line. A total of 502 F2 chickens in 17 full-sib families from six hatches was obtained and phenotypic data of 488 individuals were available for analysis. A total of 46 SNP on GGA1 was initially selected based on the average physical distance using the dbSNP database of NCBI. After the polymorphism levels in all F0 individuals 26 individuals and part of the F1 individuals 22 individuals were verified 30 informative SNP were potentially available to genotype all F2 individuals. The linkage map was constructed using Cri-Map. Interval mapping QTL analyses were carried out. QTL for body weight BW of 35 d and 42 d 49 d and 70 d were identified on GGA1 at 351-353 cM and 360 cM respectively. QTL for abdominal fat weight was on GGA1 at 205 cM and for abdominal fat rate at 221 cM. Two novel QTL for fat thickness under skin and fat width were detected at 265 cM and 72 cM respectively. QTL chicken growth fatness single nucleotide polymorphisms 1. INTRODUCTION A number of tools for genome analyses developed during the last ten years has allowed the identification of the genes and gene polymorphisms controlling complex traits. This has opened perspectives for predictive medicine in humans and marker-assisted selection MAS in plants and animals of economic interest 12 13 16 18 . Understanding