Literature DB >> 29040964

Polymorphisms in adrenergic receptor genes in Qinchuan cattle show associations with selected carcass traits.

Chu-Gang Mei1, Lin-Sheng Gui1, Hong-Cheng Wang1, Wan-Qiang Tian2, Yao-Kun Li3, Lin-Sen Zan4.   

Abstract

The beta-adrenergic receptors coded by the ADRB1, ADRB2 and ADRB3 genes play important roles in mediating metabolic effects, especially lipolysis, insulin resistance and energy balance. This study investigated the expression levels of these three genes in different tissues of Qinchuan cattle by real-time polymerase chain reaction (RT-PCR). Expressed levels of RNA from the ADRB2 gene were generally much higher than for ADRB1 and ADRB3. ADRB1 and ADRB2 expression levels were highest in subcutaneous fat and lower in muscle, whereas ADRB3 expression was higher in muscle tissue. Eight single nucleotide polymorphisms (SNPs) were discovered in 503 Qinchuan cattle by DNA sequencing, containing three missense mutations (g.1148G>C in ADRB1, g.1293C>T and g.1311T>C in ADRB2), four synonymous mutations (g.1054T>C, g.1122C>T and g.1143G>T in ADRB1 and g.506A>G in ADRB3), as well as one mutation in 3'untranslated region (3'UTR) (g.2799G>A in ADRB3). Interestingly, five of them were located in regions predicted to contain multiple repeats of CG nucleotides (CpG islands). Association analysis showed relationships between most of those SNPs or combined haplotypes and carcass traits of Qinchuan cattle. This study association analysis suggests that polymorphisms in these genes might be useful for selection in beef cattle breeding.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ADRBs; Association analysis; Carcass traits; Cattle; Expression pattern

Mesh:

Substances:

Year:  2017        PMID: 29040964     DOI: 10.1016/j.meatsci.2017.10.004

Source DB:  PubMed          Journal:  Meat Sci        ISSN: 0309-1740            Impact factor:   5.209


  1 in total

1.  Weighted Single-Step GWAS Identified Candidate Genes Associated with Growth Traits in a Duroc Pig Population.

Authors:  Donglin Ruan; Zhanwei Zhuang; Rongrong Ding; Yibin Qiu; Shenping Zhou; Jie Wu; Cineng Xu; Linjun Hong; Sixiu Huang; Enqin Zheng; Gengyuan Cai; Zhenfang Wu; Jie Yang
Journal:  Genes (Basel)       Date:  2021-01-19       Impact factor: 4.096

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.