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PMID: 29755503 Published · epublish English Journal Article

Genome-Wide Association Analysis of Age-Dependent Egg Weights in Chickens.

Frontiers in genetics ·Vol. 9 ·2018-00-00 ·页码 128

Liu Z, Sun C, Yan Y, Li G, Wu G, Liu A, Yang N

Abstract

Egg weight (EW) is an economically-important trait and displays a consecutive increase with the hen's age. Because extremely large eggs cause a range of problems in the poultry industry, we performed a genome-wide association study (GWAS) in order to identify genomic variations that are associated with EW. We utilized the Affymetrix 600 K high density SNP array in a population of 1,078 hens at seven time points from day at first egg to 80 weeks age (EW80). Results reveal that a 90 Kb genomic region (169.42 Mb ~ 169.51 Mb) in GGA1 is significantly associated with EW36 and is also potentially associated with egg weight at 28, 56, and 66 week of age. The leading SNP could account for 3.66% of the phenotypic variation, while two promising genes (DLEU7 and MIR15A) can be mapped to this narrow significant region and may affect EW in a pleiotropic manner. In addition, one gene (CECR2 on GGA1) and two genes (MEIS1 and SPRED2 on GGA3), which involved in the processes of embryogenesis and organogenesis, were also considered to be candidates related to first egg weight (FEW) and EW56, respectively. Findings in our study could provide worthy theoretical basis to generate eggs of ideal size based on marker assisted breeding selection.

Keywords
candidate genes chicken egg weight genome-wide association study heritability
作者与单位
共 7 位作者,点击展开单位 / ORCID
Liu Zhuang
National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Sun Congjiao
National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Yan Yiyuan
National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China. | Beijing Engineering Research Center of Layer, Beijing, China.
Li Guangqi
Beijing Engineering Research Center of Layer, Beijing, China.
Wu Guiqin
Beijing Engineering Research Center of Layer, Beijing, China.
Liu Aiqiao
Beijing Engineering Research Center of Layer, Beijing, China.
Yang Ning
National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China.
Article Info
Journal
Frontiers in genetics
Abbr.
Front Genet
ISSN
1664-8021
Published
2018-00-00
电子出版
2018-00-26
页码
128
Language
English
Country/Region
Switzerland
NLM ID
101560621
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