Literature DB >> 31302865

Association analysis of polymorphism in the NR6A1 gene with the lumbar vertebrae number traits in sheep.

Xiangyu Zhang1, Cunyuan Li1, Xiaoyue Li1, Zhijin Liu1, Wei Ni2, Yang Cao1, Yang Yao1, Esenbay Islamov3, Junchang Wei1, Xiaoxu Hou1, Shengwei Hu4.   

Abstract

INTRODUCTION: The vertebral number is an economically significant trait, which is associated with body length and carcass traits. Nuclear Receptor Subfamily 6, Group A, Member 1 (NR6A1) is a member of the nuclear receptor superfamily and it plays an important role in the early development of embryos.
OBJECTIVES: The NR6A1 gene was considered as an important candidate for influence vertebrae number, while the potential associations between this gene and the number of lumbar vertebrae traits of sheep have not been explored.
METHODS: In this study, we detected the genetic variants of NR6A1 gene and analyzed the associations of the polymorphisms with lumbar number traits in 130 Kazakh sheep. We use single-strand conformation polymorphism (SSCP) technique to detect single nucleotide polymorphism (SNP) of NR6A1 gene, and the association of the genotype and lumbar number variation was analyzed by independent Chi-square test.
RESULTS: We detect SNP of NR6A1 gene by PCR-SSCP technique, and polymorphisms were only found in the coding region of exon-6 and exon-8 of NR6A1 gene. In order to investigate the connection between the SNP locus and lumbar number traits in sheep, we conducted a Chi-square test for independence for exon-6 and exon-8 of NR6A1 gene, respectively. Association analysis revealed significant associations between the SNP (rs414302710: A >C) in the exon-8 of NR6A1 gene with the number of lumbar vertebrae (P < 0.01).
CONCLUSION: Our study indicated that this SNP (rs414302710: A>C) locus of exon-8 of NR6A1 gene in sheep possible influence the number of lumbar vertebrae, which has the potential to be applied in selective breeding of sheep.

Entities:  

Keywords:  Lumbar vertebrae; NR6A1 gene; SNP; SSCP

Mesh:

Substances:

Year:  2019        PMID: 31302865     DOI: 10.1007/s13258-019-00843-5

Source DB:  PubMed          Journal:  Genes Genomics        ISSN: 1976-9571            Impact factor:   1.839


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