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DISCOVERY OF SNPs POTENTIALLY ASSOCIATED WITH FATNESS IN A QTL REGION ON CHICKEN CHROMOSOME 3

Friday, August 22, 2014
Posters (The Westin Bayshore)
Gabriel Costa Monteiro Moreira , Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, Brazil
Thaís Fernanda Godoy , Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, Brazil
Clarissa Boschiero , Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, Brazil
Almas Gheyas , The Roslin Institute and Royal (Dick) School of Veterinary Studies, Edinburgh, United Kingdom
Gustavo Gasparin , Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, Brazil
Marcela Paduan , Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, Brazil
Sónia C. S. Andrade , Department of Animal Science, University of São Paulo/ESALQ, Piracicaba, Brazil
Horácio Montenegro , Department of Genetics, University of Sao Paulo (ESALQ), Piracicaba, Brazil
Dave Burt , The Roslin Institute and Royal (Dick) School of Veterinary Studies, Edinburgh, United Kingdom
Mônica C. Ledur , EMBRAPA Swine and Poultry, Concórdia, Brazil
Luiz L. Coutinho , Universidade de São Paulo/Esalq, Piracicaba, Brazil
Abstract Text: Fat content is an important economic trait in chickens. Quantitative trait locus (QTLs) associated with fat deposition have been detected, these regions have low resolution and the functional variants are still unknown. Eighteen parental chickens from a broiler and a layer line developed by the EMBRAPA Swine and Poultry National Research Center were re-sequenced to identify SNPs in a QTL region which was previously associated with abdominal fat weight and percentage on chicken chromosome 3. The identified SNPs were annotated. Those located in exonic regions were selected for further analysis and the genes containing those mutations were analyzed. SNPs were identified in five genes which were previously associated with lipid metabolism, namely LOC771163, EGLN1, GNPAT, FAM120B, and THBS.Mutations located in these genes are candidates to respond for a part of the phenotypic variation observed in abdominal fat weight and percentage in chickens. 

Keywords:

Abdominal fat

Re-sequencing

Polymorphisms

See more of: Posters: Poultry Breeding (Group 1)
See more of: Species Breeding: Poultry
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