Department of Agronomy, National Taiwan University, Taipei, Taiwan, 10617.
Department of Agronomy, National Taiwan University, Taipei, Taiwan, 10617
G3 (Bethesda). 2019 May 7;9(5):1497-1505. doi: 10.1534/g3.118.200862.
To mine new favorable alleles for tomato breeding, we investigated the feasibility of utilizing as a diverse panel of genome-wide association study through the restriction site-associated DNA sequencing technique. Previous attempts to conduct genome-wide association studies using were impeded by an inability to correct for population stratification and by lack of high-density markers to address the issue of rapid linkage disequilibrium decay. In the current study, a set of 24,330 SNPs was identified using 99 accessions from the Tomato Genetic Resource Center. Approximately 84% of I site-associated DNA sequencing regions were located in the euchromatic regions, resulting in the tagging of most SNPs on or near genes. Our genotypic data suggested that were divided into three single-ancestry subpopulations and four mixed-ancestry subpopulations. Additionally, our SNP genotypic data consistently confirmed the genetic differentiation, achieving a relatively reliable correction of population stratification. Previous studies utilized the 8K tomato SNP array, SolCAP, to investigate the genetic variation of and we performed a meta-analysis of these genotypes. The result suggested SolCAP array was less appropriate to profile the genetic differentiation of when more accessions were involved because the samples belonging to the same accession demonstrated different genome patterns. Moreover, as expected, rapid linkage disequilibrium decay was observed in , especially in euchromatic regions. Approximately two-thirds of the flanking SNP markers did not display linkage disequilibrium based on = 0.1. However, the 18-Kb linkage disequilibrium decay indeed reveals the potential of single-gene resolution in GWAS when markers are saturated.
为了在番茄育种中挖掘新的有利等位基因,我们研究了利用 作为全基因组关联研究的多样性面板的可行性,该研究采用限制性位点相关 DNA 测序技术。之前利用 进行全基因组关联研究的尝试受到以下因素的阻碍:无法纠正群体分层问题,以及缺乏高密度标记来解决快速连锁不平衡衰减的问题。在本研究中,从番茄遗传资源中心的 99 个品系中,共鉴定出 24330 个 SNP。大约 84%的 I 位相关 DNA 测序区域位于常染色质区域,导致大多数 SNP 标记位于或靠近基因上。我们的基因型数据表明, 分为三个单系亚群和四个混合系亚群。此外,我们的 SNP 基因型数据一致证实了遗传分化,实现了对群体分层的相对可靠校正。先前的研究利用 8K 番茄 SNP 芯片 SolCAP 来研究 的遗传变异,我们对这些基因型进行了荟萃分析。结果表明,当涉及更多品系时,SolCAP 芯片不太适合分析 的遗传分化,因为属于同一品系的样本表现出不同的基因组模式。此外,正如预期的那样,在 中观察到快速连锁不平衡衰减,尤其是在常染色质区域。大约三分之二的侧翼 SNP 标记在 = 0.1 时不显示连锁不平衡。然而,18-Kb 的连锁不平衡衰减确实揭示了当标记饱和时,GWAS 中单个基因分辨率的潜力。