Literature DB >> 25620159

Tetra-primer amplification refractory mutation system PCR (T-ARMS-PCR) rapidly identified a critical missense mutation (P236T) of bovine ACADVL gene affecting growth traits.

Sihuan Zhang1, Yonglong Dang2, Qingfeng Zhang3, Qiaomei Qin3, Chuzhao Lei2, Hong Chen2, Xianyong Lan4.   

Abstract

Acyl-CoA dehydrogenase, very long chain (ACADVL), encoding ACADVL protein, targets the inner mitochondrial membrane where it catalyzes the first step of the mitochondrial fatty acid beta-oxidation pathway and plays an important role in body metabolism and oxidation of long chain fatty acid releasing energy. Tetra-primer amplification refractory mutation system PCR (T-ARMS-PCR) is an easy-to-operate, rapid, inexpensive, and exact method for SNP genotyping. Herein, T-ARMS-PCR was carried out to detect a critical missense mutation (AC_000176:g.2885C>A; Pro236Thr) within the ACADVL gene in 644 individuals from two cattle breeds. In order to evaluate the accuracy of the T-ARMS-PCR at this locus, the genotype of the sampled individuals was also identified by PCR-RFLP. The concordance between these two methods was 98.76%. Statistical analysis showed that the bovine ACADVL gene had a significant effect on chest width (P<0.05), chest depth (P<0.05), and hip width (P<0.05) in the Qinchuan breed. The cattle with AA genotype had superior growth traits compared to cattle with AC and/or CC genotypes. The "A" allele had positive effects on growth traits. Therefore, T-ARMS-PCR can replace PCR-RFLP for rapid genotyping of this mutation, which could be used as a DNA marker for selecting individuals with superior growth traits in the Qinchuan breed. These findings contribute to breeding and genetics in beef cattle industry.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Acyl-CoA dehydrogenase, very long chain (ACADVL); Cattle; Growth traits; Single nucleotide polymorphism (SNP); Tetra-primer amplification refractory mutation system PCR (T-ARMS-PCR)

Mesh:

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Year:  2015        PMID: 25620159     DOI: 10.1016/j.gene.2015.01.043

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


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