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- Title
The identification of 14 new genes for meat quality traits in chicken using a genome-wide association study.
- Authors
Yanfa Sun; Guiping Zhao; Ranran Liu; Maiqing Zheng; Yaodong Hu; Dan Wu; Lei Zhang; Peng Li; Jie Wen
- Abstract
Background: Meat quality is an important economic trait in chickens. To identify loci and genes associated with meat quality traits, we conducted a genome-wide association study (GWAS) of F2 populations derived from a local Chinese breed (Beijing-You chickens) and a commercial fast-growing broiler line (Cobb-Vantress). Results: In the present study, 33 association signals were detected from the compressed mixed linear model (MLM) for 10 meat quality traits: dry matter in breast muscle (DMBr), dry matter in thigh muscle (DMTh), intramuscular fat content in breast muscle (IMFBr), meat color lightness (L") and yellowness (b") values, skin color L", a" (redness) and b" values, abdominal fat weight (AbFW) and AbFW as a percentage of eviscerated weight (AbFP). Relative expressions of candidate genes identified near significant signals were compared using samples of chickens with High and Low phenotypic values. A total of 14 genes associated with IMFBr, meat color L", AbFW, and AbFP, were differentially expressed between the High and Low phenotypic groups. These genes are, therefore, prospective candidate genes for meat quality traits: protein tyrosine kinase (TYRO3) and microsomal glutathione S-transferase 1 (MGST1) for IMFBr; collagen, type I, alpha 2 (COL1A2) for meat color L"; and RET proto-oncogene (RET), natriuretic peptide B (NPPB) and sterol regulatory element binding transcription factor 1 (SREBF1) for the abdominal fat (AbF) traits. Conclusions: Based on the association signals and differential expression of nearby genes, 14 candidate loci and genes for IMFBr, meat L" and b" values, and AbF are identified. The results provide new insight into the molecular mechanisms underlying meat quality traits in chickens.
- Subjects
MEAT quality; GENES; CHICKENS; PROTEIN-tyrosine kinases; GENE expression
- Publication
BMC Genomics, 2013, Vol 14, Issue 1, p1
- ISSN
1471-2164
- Publication type
Article
- DOI
10.1186/1471-2164-14-458