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.
Highlights
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
A total of 502 F2 chickens in 17 full-sib families from six hatches were obtained at two-weekly intervals, and the birds were reared for trait measurement
Based on the average physical distance, a total of 46 Single nucleotide polymorphisms (SNP) on GGA1 were initially selected from the dbSNP database of the National Center for Biotechnology Information (NCBI)
Summary
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]. More than 600 QTL have been identified in the chicken using genome scan with microsatellites [25]. QTL mapping in chickens was performed mainly by microsatellite linkage analyses. Interval mapping QTL analyses were used to identify QTL associated with growth and fat traits
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