کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5906809 1159987 2013 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
ZBTB38 gene polymorphism associated with body measurement traits in native Chinese cattle breeds
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی ژنتیک
پیش نمایش صفحه اول مقاله
ZBTB38 gene polymorphism associated with body measurement traits in native Chinese cattle breeds
چکیده انگلیسی

Body measurement traits, influenced by genes and environmental factors, play numerous important roles in the value assessment of productivity and economy. In this study, we investigated the association between genetic polymorphisms of the zinc finger and BTB domain containing 38 gene (ZBTB38) and body measurement traits in native Chinese cattle. Using direct DNA sequencing in 423 individuals of 8 different cattle subpopulations, 9 novel polymorphisms were identified for genotyping within 647 bp region of exon 1 of ZBTB38. Linkage disequilibrium and association analysis revealed that two coding exon polymorphisms (2323 G>A and 2325 C>T polymorphisms), missense mutations valine GTC(T) to isoleucine ATC(T), were associated with body length (BL), withers height (WH) and rump length (RL). Furthermore, the analysis of 2323 G>A and 2325 C>T SNP markers shows that there are significant effects on the BL (P = 0.0488), WH (P = 0.0044) and RL (P = 0.0314) in the total population. These results clearly suggest that the ZBTB38 gene is among the target genes for body measurement traits in bovine breeding, and provide data for establishment of an animal model using cattle to study big animal body type.

► Body measurement traits could assess cattle growth and meat productivity. ► 9 SNPs were identified within 647 bp region of ZBTB38 gene exon 1 in 423 cattle. ► Haplotypes and linkage disequilibrium of 9 SNPs were carefully analyzed in ZBTB38. ► All genetic indexes and gene effect of 9 SNPs were successfully performed in ZBTB38. ► 2 SNPs were significantly associated with BL, WH and RL in the total population.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Gene - Volume 513, Issue 2, 25 January 2013, Pages 272-277
نویسندگان
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