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Use of a novel outbred by inbred F 1 cross to detect genetic markers for growth
Author(s) -
Deeb N.,
Lamont S. J.
Publication year - 2003
Publication title -
animal genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 81
eISSN - 1365-2052
pISSN - 0268-9146
DOI - 10.1046/j.1365-2052.2003.00998.x
Subject(s) - biology , genetics , quantitative trait locus , sire , microsatellite , population , inbred strain , allele , genetic marker , genotyping , genetic monitoring , gene , genotype , zoology , demography , sociology
Summary A unique outbred by inbred F 1 resource population was established. The population structure facilitated the unique opportunity of examining gene by genetic background interaction through crossing two modern broiler sires with dams from two unrelated inbred lines, with no selection for growth rate, to produce about 600 F 1 chicks. Pools of DNA were generated from the phenotypic extremes (20% high and low) for 8‐week body weight for each of the four combinations of sire and dam line. For one sire family, pools were also separately generated for each sex. The pools were genoyped with 25 informative (segregating) microsatellites. This unique F 1 cross between outbred and inbred populations allowed use of the inbred alleles as an ‘internal control’ for polymerase chain reaction amplification quality in DNA pools. Ten microsatellites showed marked differences ( P < 0.05) in allele frequencies between high and low pools, suggesting an association between marker and quantitative trait loci (QTL). These differences were verified using selective genotyping. For many markers, differences in allele frequencies between the high and the low pools, or marker effect, varied between the two dam lines and the two sexes, suggesting an interaction between some genes and the genetic background as represented by different dam lines or sexes. The suggestive marker–QTL associations identified in this F 1 population demonstrate the efficiency of this population design while different QTL effects in different genetic line crosses and sexes highlight the importance of gene by genetic background interaction in QTL detection.