Literature DB >> 23053937

Genetic polymorphisms of lipoprotein lipase gene and their associations with growth traits in Xiangxi cattle.

Xing Ping Wang1, Zhuo Ma Luoreng, Feng Li, Jin Ren Wang, Na Li, Shu Hong Li.   

Abstract

Lipoprotein lipase (LPL), involved in the metabolism and transport of lipids, regulate energy balance, fat deposition and growth traits. The objective of this study was to investigate the single nucleotide polymorphisms (SNPs) of LPL gene and to determine their associations between these polymorphisms and growth traits in Xiangxi cattle breed. In this study, six novel SNPs (C355157T, T355169C, T355186G, A355210G, T355348A and T355420C) and one reported SNP (A355427T, has been recorded in dbSNP, ID rs110590698) were detected using polymerase chain reaction and DNA sequencing method. Genotyping and genetic diversity analysis were performed in 240 Xiangxi cattle on the basis of sequence alignment, which indicated that five SNPs (C355157T, 355186G, T355348A, T355420C, A355427T) were in abundant genetic diversity, and the other two SNPs (T355169C and TA355210G) were in low genetic diversity. Linkage disequilibrium analysis showed that 18 different haplotypes were identified in these animals. Moreover, the results of the association between LPL gene polymorphisms and growth traits indicated that the individuals with H1H1 haplotype combination had higher BW and HG than those with other haplotype combinations (P < 0.05). The animals with CC genotype maintain higher mean values for BW than those with the CT and TT genotypes (P < 0.05) at T355420C locus. The animals with the AA genotype have lower mean values for WH, BL, HG and BW than those with the AT and TT genotypes at A355427T locus (P < 0.05). The results suggested that the SNPs of the LPL gene might be useful genetic markers for growth traits in the bovine reproduction and breeding.

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Year:  2012        PMID: 23053937     DOI: 10.1007/s11033-012-1910-7

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


  28 in total

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