Department of Agricultural and Environmental Biology, Graduate School of Agricultural and Life Sciences, The University of Tokyo , 1-1-1 Yayoi, Bunkyo, Tokyo 113-8657, Japan.
Breed Sci. 2013 Mar;63(1):125-40. doi: 10.1270/jsbbs.63.125. Epub 2013 Mar 1.
Although the potential of marker-assisted selection (MAS) in fruit tree breeding has been reported, bi-parental QTL mapping before MAS has hindered the introduction of MAS to fruit tree breeding programs. Genome-wide association studies (GWAS) are an alternative to bi-parental QTL mapping in long-lived perennials. Selection based on genomic predictions of breeding values (genomic selection: GS) is another alternative for MAS. This study examined the potential of GWAS and GS in pear breeding with 76 Japanese pear cultivars to detect significant associations of 162 markers with nine agronomic traits. We applied multilocus Bayesian models accounting for ordinal categorical phenotypes for GWAS and GS model training. Significant associations were detected at harvest time, black spot resistance and the number of spurs and two of the associations were closely linked to known loci. Genome-wide predictions for GS were accurate at the highest level (0.75) in harvest time, at medium levels (0.38-0.61) in resistance to black spot, firmness of flesh, fruit shape in longitudinal section, fruit size, acid content and number of spurs and at low levels (<0.2) in all soluble solid content and vigor of tree. Results suggest the potential of GWAS and GS for use in future breeding programs in Japanese pear.
尽管已经报道了标记辅助选择(MAS)在果树育种中的潜力,但 MAS 之前的双亲 QTL 作图阻碍了 MAS 引入果树育种计划。全基因组关联研究(GWAS)是长寿命多年生植物中双亲 QTL 作图的替代方法。基于育种值的基因组预测选择(基因组选择:GS)是 MAS 的另一种选择。本研究利用 76 个日本梨品种,对 GWAS 和 GS 在梨育种中的潜力进行了研究,以检测 162 个标记与 9 个农艺性状的显著关联。我们应用多基因座贝叶斯模型,对 GWAS 和 GS 模型训练进行有序分类表型的解释。在收获时间、黑斑病抗性和枝数方面检测到显著关联,其中两个关联与已知基因座密切相关。在收获时间,GS 的全基因组预测最高水平(0.75)准确,在黑斑病抗性、果肉硬度、纵向果实形状、果实大小、酸度和枝数方面中等水平(0.38-0.61),在所有可溶性固形物含量和树势方面低水平(<0.2)。结果表明,GWAS 和 GS 有潜力用于未来的日本梨育种计划。