Abstract

This study was designed to perform an association analysis and identify SNP markers associated with production traits of Japanese quail using restriction-site-associated DNA sequencing. Weekly body weight data from 805 quail were collected from hatching to 16 weeks of age. A total number of 3990 eggs obtained from 399 female quail were used to assess egg quality traits. Egg-related traits were measured at the beginning of egg production (first stage) and at 12 weeks of age (second stage). Five eggs were analyzed at each stage. Traits, such as egg weight, egg length and short axes, eggshell strength and weight, egg equator thickness, yolk weight, diameter, and colour, albumen weight, age of first egg, total number of laid eggs, and egg production rate, were assessed. A total of 383 SNPs and 1151 associations as well as 734 SNPs and 1442 associations were identified in relation to quail production traits using general linear model (GLM) and mixed linear model (MLM) approaches, respectively. The GLM-identified SNPs were located on chromosomes 1–13, 15, 17–20, 24, 26–28, and Z, underlying phenotypic traits, except for egg and albumen weight at the first stage and yolk yellowness at the second stage. The MLM-identified SNPs were positioned on defined chromosomes associated with phenotypic traits except for the egg long axis at the second stage of egg production. Finally, 35 speculated genes were identified as candidate genes for the targeted traits based on their nearest positions. Our findings provide a deeper understanding and allow a more precise genetic improvement of production traits of Galliformes, particularly in Japanese quail.

Details

Title
Association analysis of production traits of Japanese quail (Coturnix japonica) using restriction-site associated DNA sequencing
Author
Haqani, Mohammad Ibrahim 1 ; Nakano, Michiharu 2 ; Nagano, Atsushi J. 3 ; Nakamura, Yoshiaki 4 ; Tsudzuki, Masaoki 4 

 Hiroshima University, Graduate School of Integrated Sciences for Life, Hiroshima, Japan (GRID:grid.257022.0) (ISNI:0000 0000 8711 3200) 
 Kochi University, Faculty of Agriculture and Marine Sciences, Nankoku, Japan (GRID:grid.278276.e) (ISNI:0000 0001 0659 9825) 
 Ryukoku University, Faculty of Agriculture, Otsu, Japan (GRID:grid.440926.d) (ISNI:0000 0001 0744 5780); Keio University, Institute for Advanced Biosciences, Yamagata, Japan (GRID:grid.26091.3c) (ISNI:0000 0004 1936 9959) 
 Hiroshima University, Graduate School of Integrated Sciences for Life, Hiroshima, Japan (GRID:grid.257022.0) (ISNI:0000 0000 8711 3200); Hiroshima University, Japanese Avian Bioresource Project Research Center, Hiroshima, Japan (GRID:grid.257022.0) (ISNI:0000 0000 8711 3200) 
Pages
21307
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2896129638
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.