Literature DB >> 12755821

Use of a novel outbred by inbred F1 cross to detect genetic markers for growth.

N Deeb1, S J Lamont.   

Abstract

A unique outbred by inbred F1 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 F1 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 F1 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 F1 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.

Mesh:

Year:  2003        PMID: 12755821     DOI: 10.1046/j.1365-2052.2003.00998.x

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  3 in total

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Authors:  Laurie Gordon; Shan Yang; Mary Tran-Gyamfi; Dan Baggott; Mari Christensen; Aaron Hamilton; Richard Crooijmans; Martien Groenen; Susan Lucas; Ivan Ovcharenko; Lisa Stubbs
Journal:  Genome Res       Date:  2007-10-05       Impact factor: 9.043

2.  Identification of quantitative trait loci for body temperature, body weight, breast yield, and digestibility in an advanced intercross line of chickens under heat stress.

Authors:  Angelica Van Goor; Kevin J Bolek; Chris M Ashwell; Mike E Persia; Max F Rothschild; Carl J Schmidt; Susan J Lamont
Journal:  Genet Sel Evol       Date:  2015-12-17       Impact factor: 4.297

3.  Quantitative trait loci identified for blood chemistry components of an advanced intercross line of chickens under heat stress.

Authors:  Angelica Van Goor; Christopher M Ashwell; Michael E Persia; Max F Rothschild; Carl J Schmidt; Susan J Lamont
Journal:  BMC Genomics       Date:  2016-04-14       Impact factor: 3.969

  3 in total

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