کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8502092 1553926 2017 27 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identification of new loci for body weight traits in F2 chicken population using genome-wide association study
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم دامی و جانورشناسی
پیش نمایش صفحه اول مقاله
Identification of new loci for body weight traits in F2 chicken population using genome-wide association study
چکیده انگلیسی
Understanding the genetic control of growth traits is one of the most important breeding goals in poultry industry. In order to find genes and genomic regions affecting growth traits, we performed a genome-wide association study (GWAS) using Illumnia 60K chicken SNP Beadchip in a chicken F2 resource population derived from the reciprocal cross between Arian fast-growing line and Orumieh indigenous slow-growing chicken. A total of 312 F2 birds in eight half sib families from five hatches were produced. Growth traits including body weight (BW) from birth to 12 weeks of age and average daily gain (ADG) were measured for all of the F2 chickens. The GWAS analysis for growth traits was performed using the generalized linear model (GLM) and compressed mixed linear model (cMLM). The results indicated that nine SNPs reached to 5% Bonferroni genome-wide significance (P < 2.43E − 6) and 12 were suggestively passed genome-wide significance (P < 4.8E − 6) for BW and ADG traits. These nine SNPs were located nearby or in 10 candidate genes, including DIS3, BORA, UBE2H, CNOT10, SGOL1, ADGRB3, DTNB, SETD3, EFNA5 and SPINZ. Cell division, skeletal myogenesis, regulation of actin and microtubule cytoskeleton organization and transcriptional activity are the main important biological process of these genes. This study indicates novel genes related with important processes that can open new insights to the genetic control of growth traits in broiler chickens. In addition, these SNPs are potential to be included in animal breeding programs assisted by molecular markers.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Livestock Science - Volume 206, December 2017, Pages 125-131
نویسندگان
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