Literature DB >> 20306301

Three novel SNPs in the coding region of PPARγ gene and their associations with meat quality traits in cattle.

Yue Yuan Fan1, Lin Sen Zan, Chang Zhen Fu, Wan Qiang Tian, Hong Bao Wang, Yan Yan Liu, Ya Ping Xin.   

Abstract

The peroxisome proliferator-activated receptor γ (PPARγ) is a nuclear hormone receptor that regulates adipogenesis and many other biological processes. In the present study, we carried out PCR-SSCP and DNA sequencing analyses to examine SNPs in coding region of the PPARγ gene. A total of 660 individuals from five Chinese cattle breeds were genotyped. We identified three SNPs and their associations with meat quality traits were analyzed in 108 Qinchuan cattle. Two missense mutations and one synonymous mutation were found: 200 A>G (genotypes AA, AB and BB) resulting in D7G change, the silent substitution 42895 C>T (genotypes JJ and JI) and 72472 G>T (genotypes CC, DC and DD) producing Q448H change, respectively. The frequencies of PPARγ-A allele were 0.86, 0.83, 0.80, 0.72 and 0.87 for Qinchuan, Nanyang, Jiaxian, Luxi and Xianan populations, respectively. The frequencies of PPARγ-J allele varied from 0.87 to 0.96 in the five populations. In the 72472 G>T locus, the frequencies of PPARγ-C allele were higher than PPARγ-D allele in the five populations, and ranged from 0.58 to 0.82. Least squares analysis revealed that in 42895 C>T locus, there was a significant effect on tenderness in 18-20 months Qinchuan cattle (P<0.01), and in the 72472 G>T locus, animals with the genotype DC had lower mean values than these with genotype CC (P<0.01) for back fat thickness in 18-20 months, and animals with the genotype DD had lower mean values than these with genotypes CC and DC (P<0.01) for water holding capacity in 21-24 months (P<0.01). The SNPs we have identified may contribute to establishing a more efficient selection program for improving of genetic characteristics in indigenous Chinese cattle.

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Year:  2010        PMID: 20306301     DOI: 10.1007/s11033-010-0086-2

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  29 in total

1.  Activation of a member of the steroid hormone receptor superfamily by peroxisome proliferators.

Authors:  I Issemann; S Green
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Authors:  A Meirhaeghe; L Fajas; N Helbecque; D Cottel; J Auwerx; S S Deeb; P Amouyel
Journal:  Int J Obes Relat Metab Disord       Date:  2000-02

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Authors:  C A Argmann; T-A Cock; J Auwerx
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Authors:  S A Kliewer; J M Lenhard; T M Willson; I Patel; D C Morris; J M Lehmann
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10.  Stimulation of adipogenesis in fibroblasts by PPAR gamma 2, a lipid-activated transcription factor.

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