کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8644410 | 1569759 | 2018 | 17 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Identification on novel locus of dairy traits of Kazakh horse in Xinjiang
ترجمه فارسی عنوان
شناسایی ریشه لواسانی از ویژگی های لبنی اسب قزاق در سین کیانگ
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
بیوشیمی، ژنتیک و زیست شناسی مولکولی
ژنتیک
چکیده انگلیسی
The utility of high-density single nucleotide polymorphism (SNP) data help to accurately identify genomic regions that have undergone positive selection. In this study, the Affymetrix Equine 670â¯K high-density SNP array was used to genotype Kazakh and Yili horse population. After quality control, 370,227 autosomal SNPs were used to detect selection signatures by using global fixation index (FST) and cross-population extended haplotype homozygosity (XP-EHH). The database of Ensemble, Genecards, and NCBI were used to make gene annotation and functional analysis. The results showed that there were 134 candidate SNPs overlapped between FST and XP-EHH in Kazakh horse. We also discovered some potential selective sweep regions associated with milk trait, including NUMB, LGALS2, ADCY8, SLC25A30, and CA8 genes. New findings from this research have potential value for milk traits selecting in horse.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Gene - Volume 677, 30 November 2018, Pages 105-110
Journal: Gene - Volume 677, 30 November 2018, Pages 105-110
نویسندگان
Ling-Ling Liu, Chao Fang, Wu-Jun Liu,