Department of Horticulture and Landscape Architecture, National Taiwan University, Taipei 10617, Taiwan.
Crop Science Division and Guansi Experiment Station, Taiwan Agricultural Research Institute, Council of Agriculture, Taichung, 41301, Taiwan.
Int J Mol Sci. 2020 Feb 24;21(4):1543. doi: 10.3390/ijms21041543.
The chilling requirement (CR) is the main factor controlling the peach floral bud break and subsequent reproductive growth. To date, several peach CR quantitative trait loci (QTLs) have been identified. To improve the accessibility and convenience of this genetic information for peach breeders, the aim of this study was to establish an easy-to-use genotype screening system using peach CR molecular markers as a toolkit for marker-assisted selection. Here, we integrated 22 CR-associated markers from three published QTLs and positioned them on the physical map. Then, we built a PCR-based genotyping platform by using high-resolution melting (HRM) analysis with specific primers and trained this platform with 27 peach cultivars. Due to ambiguous variant calls from a commercial HRM software, we developed an R-based pipeline using principal component analysis (PCA) to accurately differentiate genotypes. Based on the PCA results, this toolkit was able to determine the genotypes at the CR-related single nucleotide polymorphisms (SNPs) in all tested peach cultivars. In this study, we showed that this HRM-PCA pipeline served as a low-cost, high-throughput, and non-gel genotyping solution. This system has great potential to accelerate CR-focused peach breeding.
冷需求(CR)是控制桃花芽休眠和随后生殖生长的主要因素。迄今为止,已经鉴定了几个桃 CR 数量性状位点(QTL)。为了提高桃育种者对这些遗传信息的可及性和便利性,本研究旨在建立一个易于使用的基因型筛选系统,使用桃 CR 分子标记作为标记辅助选择的工具包。在这里,我们整合了来自三个已发表的 QTL 的 22 个 CR 相关标记,并将其定位在物理图谱上。然后,我们使用特定引物的高分辨率熔解(HRM)分析构建了基于 PCR 的基因型分析平台,并使用 27 个桃品种对该平台进行了训练。由于商业 HRM 软件的变异体调用不明确,我们开发了一个基于 R 的主成分分析(PCA)管道,以准确区分基因型。基于 PCA 结果,该工具包能够确定所有测试的桃品种中与 CR 相关的单核苷酸多态性(SNP)的基因型。在这项研究中,我们表明,这种 HRM-PCA 管道可作为一种低成本、高通量且无凝胶的基因型分析解决方案。该系统具有加速以 CR 为重点的桃育种的巨大潜力。