Article
Mapping quantitative trait loci regulating chicken body composition traits.
State Key Laboratory for Agrobiotechnology, China Agricultural University, Beijing, China.
Animal Genetics (impact factor:
2.4).
05/2009;
40(6):952-4.
DOI:10.1111/j.1365-2052.2009.01911.x
pp.952-4
Source: PubMed
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Citations (0)
- Cited In (2)
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Article: Signatures of selection in the genomes of commercial and non-commercial chicken breeds.
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ABSTRACT: Identifying genomics regions that are affected by selection is important to understand the domestication and selection history of the domesticated chicken, as well as understanding molecular pathways underlying phenotypic traits and breeding goals. While whole-genome approaches, either high-density SNP chips or massively parallel sequencing, have been successfully applied to identify evidence for selective sweeps in chicken, it has been difficult to distinguish patterns of selection and stochastic and breed specific effects. Here we present a study to identify selective sweeps in a large number of chicken breeds (67 in total) using a high-density (58 K) SNP chip. We analyzed commercial chickens representing all major breeding goals. In addition, we analyzed non-commercial chicken diversity for almost all recognized traditional Dutch breeds and a selection of representative breeds from China. Based on their shared history or breeding goal we in silico grouped the breeds into 14 breed groups. We identified 396 chromosomal regions that show suggestive evidence of selection in at least one breed group with 26 of these regions showing strong evidence of selection. Of these 26 regions, 13 were previously described and 13 yield new candidate genes for performance traits in chicken. Our approach demonstrates the strength of including many different populations with similar, and breed groups with different selection histories to reduce stochastic effects based on single populations.PLoS ONE 01/2012; 7(2):e32720. · 4.09 Impact Factor -
Article: Genome-wide association study identified a narrow chromosome 1 region associated with chicken growth traits.
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ABSTRACT: Chicken growth traits are important economic traits in broilers. A large number of studies are available on finding genetic factors affecting chicken growth. However, most of these studies identified chromosome regions containing putative quantitative trait loci and finding causal mutations is still a challenge. In this genome-wide association study (GWAS), we identified a narrow 1.5 Mb region (173.5-175 Mb) of chicken (Gallus gallus) chromosome (GGA) 1 to be strongly associated with chicken growth using 47,678 SNPs and 489 F2 chickens. The growth traits included aggregate body weight (BW) at 0-90 d of age measured weekly, biweekly average daily gains (ADG) derived from weekly body weight, and breast muscle weight (BMW), leg muscle weight (LMW) and wing weight (WW) at 90 d of age. Five SNPs in the 1.5 Mb KPNA3-FOXO1A region at GGA1 had the highest significant effects for all growth traits in this study, including a SNP at 8.9 Kb upstream of FOXO1A for BW at 22-48 d and 70 d, a SNP at 1.9 Kb downstream of FOXO1A for WW, a SNP at 20.9 Kb downstream of ENSGALG00000022732 for ADG at 29-42 d, a SNP in INTS6 for BW at 90 d, and a SNP in KPNA3 for BMW and LMW. The 1.5 Mb KPNA3-FOXO1A region contained two microRNA genes that could bind to messenger ribonucleic acid (mRNA) of IGF1, FOXO1A and KPNA3. It was further indicated that the 1.5 Mb GGA1 region had the strongest effects on chicken growth during 22-42 d.PLoS ONE 01/2012; 7(2):e30910. · 4.09 Impact Factor
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Keywords
12 body composition traits
129 microsatellite markers
15 full-sib families
21 genome-wide QTL
chicken body composition traits
efforts
Genome scans
GGA1
gizzard weight
intestine length
phenotypic variance
proventriculus weight
QTL
shank & claw weight
shank girth
shank-related traits
Silkies Fowl
White Plymouth Rock
wing weight