4.6 Article

Polygenic Basis and Variable Genetic Architectures Contribute to the Complex Nature of Body Weight - A Genome-Wide Study in Four Chinese Indigenous Chicken Breeds

Journal

FRONTIERS IN GENETICS
Volume 9, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fgene.2018.00229

Keywords

genome-wide association study; haplotype-based association study; genetic architecture; body weight; polygenic basis; Chinese indigenous chicken

Funding

  1. National Natural Science Foundation of China [31472083, 31702108]
  2. Fundamental Research Funds for the Central Universities [2662016QD018]
  3. Open Research Program of State Key Laboratory for Agro-Biotechnology [2015SKLAB6-11]

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Body weight (BW) is one of the most important economic traits for animal production and breeding, and it has been studied extensively for its phenotype-genotype associations. While mapping studies have mostly aimed at finding as many loci as possible that contributed to the variation in BW, the role of other factors in its genetic architecture, including their frequencies in the population and their interactions, have been largely overlooked. To comprehensively characterized the genetic architecture of BW, we performed a genome-wide association study (GWAS) both at the single-marker and haplotype level on birds from four indigenous Chinese chicken breeds (Chahua, Silkie, Langshan, and Beard), rather than studying crosses between two founder lines. Additionally, samples from two more breeds (Red Junglefowl and Recessive White) were included to better reflect variable genetic characteristics across populations. Six loci were mapped in this study, revealing the polygenic basis underlying BW. Moreover, by further examining the frequencies of the significantly associated haplotypes in each subpopulation and their effect sizes, most of the loci were found to affect BW in the Beard chicken breed alone. Two loci in GGA9 and GGA27, however, had a common effect on BW across subpopulations, showing that different underlying genetic mechanisms contribute to the phenotypic variability. These findings, particularly the variable genetic architectures found in different loci, improve our understanding of the overall genetic contributions to the large variability in BW among Chinese indigenous chicken breeds. These findings thus will have important implications for future chicken breeding.

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