中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 海洋研究所
  3. 中国科学院海洋研究所
  4. 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

文献类型：期刊论文

作者Luo, Zheng2,4; Yu, Yang1,4,5; Xiang, Jianhai1,4,5; Li, Fuhua1,3,4,5
刊名AQUACULTURE
出版日期2021-06-30
卷号539页码:6
ISSN号0044-8486
关键词Genomic selection GWAS Prediction accuracy Disease resistance Aquaculture species
DOI10.1016/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
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.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao 266237, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Innovat Seed Design, Wuhan 430000, Peoples R China
4.Chinese Acad Sci, Inst Oceanol, Key Lab Expt Marine Biol, Qingdao 266071, Peoples R China
5.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, 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.

入库方式： OAI收割

来源：海洋研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。