| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|
|
|
|||||||
|
|||||||||
GENETICS |
,3
* Department of Animal Science, Iowa State University, Ames 50011; and Growth Biology Laboratory, Livestock and Poultry Sciences Institute, USDA-ARS, Beltsville, MD 20705
4 Corresponding author: sjlamont{at}iastate.edu
A genome scan was used to detect chromosomal regions and QTL that control quantitative traits of economic importance in chickens. Two unique F2 crosses generated from a commercial broiler male line and 2 genetically distinct inbred lines (Leghorn and Fayoumi) were used to identify QTL affecting BW and daily average gain traits in chickens. Body weight at 2, 4, 6, and 8 wk was measured in the 2 F2 crosses. Birds were genotyped for 269 microsatellite markers across the entire genome. Linkage distance among microsatellite markers was estimated by the CRIMAP program. The program QTL Express was used for QTL detection. Significance levels were obtained using the permutation test. For the 8 traits, a total of 18 and 13 significant QTL were detected at a 1% chromosome-wise significance level, of which 17 and 10 were significant at the 5% genome-wise level for the broiler-Leghorn cross and broiler-Fayoumi cross, respectively. Highly correlated growth traits showed similar QTL profiles within each cross but different QTL profiles between the 2 crosses. Most QTL for growth traits in the current study were detected in Gga 1, 2, 4, 7, and 14 for the broiler-Leghorn cross and Gga 1, 2, 4, 5, 8, and 13 for the broiler-Fayoumi cross. Potential candidate genes within the QTL region for growth traits at 1% chromosome-wise significance level were discussed. The results in the current study lay the foundations for fine mapping these traits in the advanced intercross lines and provide a start point for identification causative genes responsible for growth traits in chickens.
Key Words: genome scan • quantitative trait loci • growth trait • broiler • inbred line
1 This is a report of the Iowa Agriculture and Home Economics Experiment Station, Ames 50011, project 6680, supported by Hatch and State of Iowa funds.
2 Present address: Department of Poultry Science, Texas A&M University, College Station, TX 77843.
3 Present address: Department of Poultry Science, North Carolina State University, Raleigh 27695.
This article has been cited by other articles:
|
|
 |
|
  Y. Uemoto, S. Sato, S. Odawara, H. Nokata, Y. Oyamada, Y. Taguchi, S. Yanai, O. Sasaki, H. Takahashi, K. Nirasawa, et al. Genetic mapping of quantitative trait loci affecting growth and carcass traits in F2 intercross chickens Poult. Sci., March 1, 2009; 88(3): 477 - 482. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
H. Zhou, N. Deeb, C. M. Evock-Clover, A. D. Mitchell, C. M. Ashwell, and S. J. Lamont Genome-Wide Linkage Analysis to Identify Chromosomal Regions Affecting Phenotypic Traits in the Chicken. III. Skeletal Integrity Poult. Sci., February 1, 2007; 86(2): 255 - 266. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
H. Zhou, C. M. Evock-Clover, J. P. McMurtry, C. M. Ashwell, and S. J. Lamont Genome-Wide Linkage Analysis to Identify Chromosomal Regions Affecting Phenotypic Traits in the Chicken. IV. Metabolic Traits Poult. Sci., February 1, 2007; 86(2): 267 - 276. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
B. Abasht, J. C. M. Dekkers, and S. J. Lamont Review of Quantitative Trait Loci Identified in the Chicken Poult. Sci., December 1, 2006; 85(12): 2079 - 2096. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
H. Zhou, N. Deeb, C. M. Evock-Clover, C. M. Ashwell, and S. J. Lamont Genome-Wide Linkage Analysis to Identify Chromosomal Regions Affecting Phenotypic Traits in the Chicken. II. Body Composition. Poult. Sci., October 1, 2006; 85(10): 1712 - 1721. [Abstract] [Full Text] [PDF]
|
|
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
