Literature DB >> 17012160

Genome-wide linkage analysis to identify chromosomal regions affecting phenotypic traits in the chicken. II. Body composition.

H Zhou1, N Deeb, C M Evock-Clover, C M Ashwell, S J Lamont.   

Abstract

Two informative chicken F(2) populations based on crosses between a broiler breeder male line and dams from genetically distinct, highly inbred (>99%) chicken lines, the Leghorn G-B2 and Fayoumi M15.2, have been used for genome-wide linkage and QTL analysis. Phenotypic data on 12 body composition traits (breast muscle weight, breast muscle weight percentage, abdominal fat weight, abdominal fat weight percentage, heart weight, heart weight percentage, liver weight, liver weight percentage, spleen weight, spleen weight percentage, and drumstick weight, and drumstick weight percentage) were collected. Birds were genotyped for 269 microsatellite markers across the genome. The QTL Express program was used to detect QTL for body composition traits. Significant levels were obtained using the permutation test. For the twelve traits, a total of 61 (Gga 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 15, 18, 24, and Z) and 45 (Gga 1, 2, 3, 4, 6, 7, 8, 9, 10, 12, 15, 17, and E46) significant QTL were detected at the 5% chromosome-wise significance level, of which 19 and 11 were significant at the 5% genome-wise level for the broiler-Leghorn cross and broiler-Fayoumi cross, respectively. Phenotypic variation for each trait explained by all QTL across the genome ranged from 3.22 to 33.31% in the broiler-Leghorn cross and 4.83 to 47.12% in broiler-Fayoumi cross. Distinct QTL profiles between the 2 crosses were observed for most traits. Cryptic alleles were detected for each trait. Potential candidate genes within the QTL region for body composition traits at the 1% chromosome-wise significance level were identified from databases for future association study. The results of the current study will increase the knowledge of genetic markers associated with body composition traits and aid the process of identifying causative genes. Knowledge of beneficial genetic variation can be incorporated in breeding programs to enhance genetic improvement through marker-assisted selection in chickens.

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Year:  2006        PMID: 17012160     DOI: 10.1093/ps/85.10.1712

Source DB:  PubMed          Journal:  Poult Sci        ISSN: 0032-5791            Impact factor:   3.352


  17 in total

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4.  Mapping main, epistatic and sex-specific QTL for body composition in a chicken population divergently selected for low or high growth rate.

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Authors:  Sriram Krishnamoorthy; Candace D Smith; Adnan A Al-Rubaye; Gisela F Erf; Robert F Wideman; Nicholas B Anthony; Douglas D Rhoads
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6.  Re-sequencing data for refining candidate genes and polymorphisms in QTL regions affecting adiposity in chicken.

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9.  Genomic scan for quantitative trait loci of chemical and physical body composition and deposition on pig chromosome X including the pseudoautosomal region of males.

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10.  Nutritional factors affecting abdominal fat deposition in poultry: a review.

Authors:  A M Fouad; H K El-Senousey
Journal:  Asian-Australas J Anim Sci       Date:  2014-07       Impact factor: 2.509

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