›› 2016, Vol. 43 ›› Issue (5): 1140-1147.doi: 10.16431/j.cnki.1671-7236.2016.05.003

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Genome-wide Association Study on Abdominal Fat Weight in Jinghai Yellow Chicken

DUAN Lian1,2, WANG Wen-hao3, LI Ting-ting1,2, WANG Jin-yu1,2, HAN Kun-peng1,2, WANG Yong-juan1,4   

  1. 1. College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China;
    2. Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design of Jiangsu Province, Yangzhou 225009, China;
    3. College of Life Sciences and Environment Resource, Yichun University, Yichun 336000, China;
    4. Jiangsu Jinghai Industry Poultry Group Co., Ltd., Nantong 226103, China
  • Received:2015-10-14 Online:2016-05-20 Published:2016-05-23

Abstract: The study was conducted to reveal the genetic basis of abdominal fat weight trait and scan molecular markers which could be used to improve the abdominal fat weight.The abdominal fat weight of female Jinghai Yellow chicken in core group were measured after being slaughtered.Genome-wide association study was carried out using specific-locus amplified fragment sequencing technology to detect SNPs associated with abdominal fat weight.Finally, five SNPs that associated with abdominal fat weight and reached suggestive genome-wide significance (P<1.1×10-5) were found, and four of them (rs18144674, rs18144680, rs12246236 and rs12257795) reached chromosome significance level.Three SNPs (rs18144674, rs18144680 and rs19745739) located in a 1.6 Mb area of chromosome 2, and two SNPs (rs12246236 and rs12257795) located in a 12 kb area of chromosome 14.Genes in the candidate regions with 0.1 Mb windows were screened.Finally, eleven candidate genes of VIM, TRDMT1, AXIN1, PDIA2, ARHGDIG, gga-mir-1763, gga-mir-1564, CLCN7, ECL1, DNASE1 and SDOS were obtained.The molecular function and biological processes were analyzed using GO database.The results showed that those genes might be candidate genes affecting abdominal fat weight in Jinghai Yellow chicken.

Key words: SLAF-seq; Jinghai Yellow chicken; abdominal fat weight; genome-wide association study

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