Genome-Wide Association Study Reveals the PLAG1 Gene for Knuckle, Biceps and Shank Weight in Simmental Beef Cattle

نویسندگان

  • Yuxin Song
  • Lingyang Xu
  • Yan Chen
  • Lupei Zhang
  • Huijiang Gao
  • Bo Zhu
  • Hong Niu
  • Wengang Zhang
  • Jiangwei Xia
  • Xue Gao
  • Junya Li
چکیده

Carcass traits of beef cattle have been genetically improved to increase yield of high quality meat. Genome-wide association study (GWAS) is a powerful method to identify genetic variants associated with carcass traits. For the 770K genotyped SNPs from 1141 Chinese Simmental cattle, we used the compressed mixed linear model (CMLM) to perform a genome-wide association study for knuckle, biceps and shank of beef carcass traits. Seventeen significantly associated SNPs were found, which are located on BTA6, BTA14 and BTA15. Interestingly, one pleiotropic quantitative trait nucleotide (QTN), named BovineHD1400007259 (p < 10-8) within the well-known gene region PLAG1-CHCHD7 on BTA14, was found to govern variation of the knuckle, biceps and shank traits. The QTN accounted for 8.6% of phenotypic variance for biceps. In addition, 16 more SNPs distributed on BTA14 were detected as being associated with the carcass traits.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multi-strategy genome-wide association studies identify the DCAF16-NCAPG region as a susceptibility locus for average daily gain in cattle

Average daily gain (ADG) is the most economically important trait in beef cattle industry. Using genome-wide association study (GWAS) approaches, previous studies have identified several causal variants within the PLAG1, NCAPG and LCORL genes for ADG in cattle. Multi-strategy GWASs were implemented in this study to improve detection and to explore the causal genes and regions. In this study, we...

متن کامل

Genome-wide Association Study to Identify Genes and Biological Pathways Associated with Type Traits in Cattle using Pathway Analysis

Extended Abstract Introduction and Objective: Type traits describing the skeletal characteristics of an animal are moderately to strongly genetically correlate with other economically important traits in cattle including fertility, longevity and carcass traits. The present study aimed to conduct a genome wide association studies (GWAS) based on gene-set enrichment analysis for identifying the ...

متن کامل

Genome-Wide Association Studies Using Haplotypes and Individual SNPs in Simmental Cattle

Recent advances in high-throughput genotyping technologies have provided the opportunity to map genes using associations between complex traits and markers. Genome-wide association studies (GWAS) based on either a single marker or haplotype have identified genetic variants and underlying genetic mechanisms of quantitative traits. Prompted by the achievements of studies examining economic traits...

متن کامل

Improving the Efficiency of Genomic Selection in Chinese Simmental beef cattle

Genomic selection is an accurate and efficient method of estimating genetic merits by using high-density genome-wide single nucleotide polymorphisms (SNPs).In this study, we investigate an approach to increase the efficiency of genomic prediction by using genome-wide markers. The approach is a feature selection based on genomic best linear unbiased prediction (GBLUP),which is a statistical meth...

متن کامل

Gene set enrichment analysis for feed efficiency in beef cattle

Selection for improved feed efficiency in cattle would decrease the amount of feed consumed for the same or greater levels of production resulting in enhanced profitability and sustainability. Selection for feed efficient cattle has been hampered by a lack of phenotypic data on feed intake and weights from cattle in production due to the cost and difficulty in collecting these data. The aim of ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 11  شماره 

صفحات  -

تاریخ انتشار 2016