Evaluation of the 2b-RAD method for genomic selection in scallop breeding

被引:76
作者
Dou, Jinzhuang [1 ,2 ]
Li, Xue [1 ]
Fu, Qiang [1 ]
Jiao, Wenqian [1 ]
Li, Yangping [1 ]
Li, Tianqi [1 ]
Wang, Yangfan [1 ]
Hu, Xiaoli [1 ,3 ]
Wang, Shi [1 ,4 ]
Bao, Zhenmin [1 ,3 ]
机构
[1] Ocean Univ China, Coll Marine Life Sci, Minist Educ, Key Lab Marine Genet & Breeding, Beijing, Peoples R China
[2] Genome Inst Singapore, Dept Computat & Syst Biol, Singapore, Singapore
[3] Qingdao Natl Lab Marine Sci & Technol, Lab Marine Fisheries & Aquaculture, Qingdao, Peoples R China
[4] Qingdao Natl Lab Marine Sci & Technol, Lab Marine Biol & Biotechnol, Qingdao, Peoples R China
基金
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词
PATINOPECTEN-YESSOENSIS; WIDE IDENTIFICATION; PREDICTION; GENES; STRATEGIES; ACCURACY; LINKAGE; TRAITS;
D O I
10.1038/srep19244
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The recently developed 2b-restriction site-associated DNA (2b-RAD) sequencing method provides a cost-effective and flexible genotyping platform for aquaculture species lacking sufficient genomic resources. Here, we evaluated the performance of this method in the genomic selection (GS) of Yesso scallop (Patinopecten yessoensis) through simulation and real data analyses using six statistical models. Our simulation analysis revealed that the prediction accuracies obtained using the 2b-RAD markers were slightly lower than those obtained using all polymorphic loci in the genome. Furthermore, a small subset of markers obtained from a reduced tag representation (RTR) library presented comparable performance to that obtained using all markers, making RTR be an attractive approach for GS purpose. Six GS models exhibited variable performance in prediction accuracy depending on the scenarios (e.g., heritability, sample size, population structure), but Bayes-alphabet and BLUP-based models generally outperformed other models. Finally, we performed the evaluation using an empirical dataset composed of 349 Yesso scallops that were derived from five families. The prediction accuracy for this empirical dataset could reach 0.4 based on optimal GS models. In summary, the genotyping flexibility and cost-effectiveness make 2b-RAD be an ideal genotyping platform for genomic selection in aquaculture breeding programs.
引用
收藏
页数:11
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