Literature DB >> 30818062

Genome-wide association study of the level of blood components in Pekin ducks.

Feng Zhu1, Qian-Qian Cui1, Yu-Ze Yang2, Jin-Ping Hao3, Fang-Xi Yang3, Zhuo-Cheng Hou4.   

Abstract

Blood components are considered to reflect nutrient metabolism and immune activity in both humans and animals. In this study, we measured 12 blood components in Pekin ducks and performed genome-wide association analysis to identify the QTLs (quantitative trait locus) using a genotyping-by-sequencing strategy. A total of 54 QTLs were identified for blood components. One genome-wide significant QTL for alkaline phosphatase was identified within the intron-region of the OTOG gene (P = 1.31E-07). Moreover, 21 genome-wide significant SNPs for the level of serum cholinesterase were identified on six different scaffolds. In addition, for serum calcium, one genome-wide significant QTL was identified in the upstream region of gene RAB11B. These results provide new markers for functional studies in Pekin ducks, and several candidate genes were identified, which may provide additional insights into specific mechanisms for blood metabolism in ducks and their potential application for duck breeding programs.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Blood components; GWAS; Pekin duck; Serum electrolytes; Serum lipid; Serum protein

Year:  2019        PMID: 30818062     DOI: 10.1016/j.ygeno.2019.02.017

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  4 in total

1.  Genome-wide association study reveals novel loci associated with feeding behavior in Pekin ducks.

Authors:  Guang-Sheng Li; Feng Zhu; Fan Zhang; Fang-Xi Yang; Jin-Ping Hao; Zhuo-Cheng Hou
Journal:  BMC Genomics       Date:  2021-05-08       Impact factor: 3.969

2.  Identification of disease-associated loci using machine learning for genotype and network data integration.

Authors:  Luis G Leal; Alessia David; Marjo-Riita Jarvelin; Sylvain Sebert; Minna Männikkö; Ville Karhunen; Eleanor Seaby; Clive Hoggart; Michael J E Sternberg
Journal:  Bioinformatics       Date:  2019-12-15       Impact factor: 6.937

3.  Selection response and genetic parameter estimation of feeding behavior traits in Pekin ducks.

Authors:  Guang-Sheng Li; Feng Zhu; Fang-Xi Yang; Jin-Ping Hao; Zhuo-Cheng Hou
Journal:  Poult Sci       Date:  2020-03-20       Impact factor: 3.352

4.  Genome-wide association study identifies SNPs for growth performance and serum indicators in Valgus-varus deformity broilers (Gallus gallus) using ddGBS sequencing.

Authors:  Yaping Guo; Hetian Huang; Zhenzhen Zhang; Yanchao Ma; Jianzeng Li; Hehe Tang; Haoxiang Ma; Zhuanjian Li; Wenting Li; Xiaojun Liu; Xiangtao Kang; Ruili Han
Journal:  BMC Genomics       Date:  2022-01-06       Impact factor: 3.969

  4 in total

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