Dou Jinzhuang, Li Xue, Fu Qiang, Jiao Wenqian, Li Yangping, Li Tianqi, Wang Yangfan, Hu Xiaoli, Wang Shi, Bao Zhenmin
Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, China.
Department of Computational and Systems Biology, Genome Institute of Singapore, Singapore.
Sci Rep. 2016 Jan 12;6:19244. doi: 10.1038/srep19244.
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.
最近开发的2b限制性内切酶切位点关联DNA(2b-RAD)测序方法,为缺乏足够基因组资源的水产养殖物种提供了一个经济高效且灵活的基因分型平台。在此,我们通过使用六种统计模型的模拟和实际数据分析,评估了该方法在虾夷扇贝(Patinopecten yessoensis)基因组选择(GS)中的性能。我们的模拟分析表明,使用2b-RAD标记获得的预测准确性略低于使用基因组中所有多态性位点获得的预测准确性。此外,从简化标签文库(RTR)中获得的一小部分标记表现出与使用所有标记相当的性能,这使得RTR成为一种用于基因组选择目的的有吸引力的方法。六种基因组选择模型在预测准确性方面表现出不同的性能,这取决于具体情况(例如,遗传力、样本量、群体结构),但基于贝叶斯字母和最佳线性无偏预测(BLUP)的模型通常优于其他模型。最后,我们使用由来自五个家系的349个虾夷扇贝组成的经验数据集进行了评估。基于最佳基因组选择模型,该经验数据集的预测准确性可达0.4。总之,基因分型的灵活性和成本效益使2b-RAD成为水产养殖育种计划中基因组选择的理想基因分型平台。