Genomic selection using a subset of SNPs identified by genome-wide association analysis for disease resistance traits in aquaculture species

doi:10.1016/j.aquaculture.2021.736620

CORC > 海洋研究所 > 中国科学院海洋研究所 > 实验海洋生物学重点实验室

	Genomic selection using a subset of SNPs identified by genome-wide association analysis for disease resistance traits in aquaculture species
	Luo, Zheng 1,4; Yu, Yang 1,2,3; Xiang, Jianhai 1,2,3; Li, Fuhua 1,2,3,5
刊名	AQUACULTURE
	2021-06-30
卷号	539 页码:6
关键词	Genomic selection GWAS Prediction accuracy Disease resistance Aquaculture species
ISSN号	0044-8486
DOI	10.1016/j.aquaculture.2021.736620
通讯作者	Yu, Yang(yuyang@qdio.ac.cn) ; Li, Fuhua(fhli@qdio.ac.cn)
英文摘要	Genomic selection (GS) has been proved to be a useful method for selective breeding. However, the cost for genotyping a large amount of SNPs is too expensive, especially for aquaculture species with a low individual commodity value. In this study, we proposed a strategy for GS using a subset of markers selected by genome wide association studies (GWAS), and evaluated the prediction accuracy in different aquaculture species. The results showed that the prediction accuracy using SNPs selected by GWAS was higher than using total SNPs, and the BayesB model presented a better performance than GBLUP model. The optimal SNP numbers used for GS were varied for different traits and species. The proposed strategy of GS in the present study could not only reduce the genotyping cost, but also improve the prediction accuracy of GS, which will be very helpful to accelerate the application of GS for disease resistance in aquaculture species.
资助项目	National Key R&D Program of China[2018YFD0901301] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA24030105] ; China Agriculture Research System-48
WOS研究方向	Fisheries ; Marine & Freshwater Biology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000647594100009
内容类型	期刊论文
源URL	[http://ir.qdio.ac.cn/handle/337002/170937]
专题	海洋研究所_实验海洋生物学重点实验室
通讯作者	Yu, Yang; Li, Fuhua
作者单位	1.Chinese Acad Sci, Inst Oceanol, Key Lab Expt Marine Biol, Qingdao 266071, Peoples R China 2.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao 266237, Peoples R China 3.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Innovat Seed Design, Wuhan 430000, Peoples R China
推荐引用方式 GB/T 7714	Luo, Zheng,Yu, Yang,Xiang, Jianhai,et al. Genomic selection using a subset of SNPs identified by genome-wide association analysis for disease resistance traits in aquaculture species[J]. AQUACULTURE,2021,539:6.
APA	Luo, Zheng,Yu, Yang,Xiang, Jianhai,&Li, Fuhua.(2021).Genomic selection using a subset of SNPs identified by genome-wide association analysis for disease resistance traits in aquaculture species.AQUACULTURE,539,6.
MLA	Luo, Zheng,et al."Genomic selection using a subset of SNPs identified by genome-wide association analysis for disease resistance traits in aquaculture species".AQUACULTURE 539(2021):6.