Arbelaez Juan David, Dwiyanti Maria Stefanie, Tandayu Erwin, Llantada Krizzel, Jarana Annalhea, Ignacio John Carlos, Platten John Damien, Cobb Joshua, Rutkoski Jessica Elaine, Thomson Michael J, Kretzschmar Tobias
International Rice Research Institute, DAPO Box 7777, 1301, Los Baños, Metro Manila, Philippines.
Research Faculty of Agriculture, Hokkaido University, Sapporo, Hokkaido, 060-8589, Japan.
Rice (N Y). 2019 Jul 26;12(1):55. doi: 10.1186/s12284-019-0311-0.
While a multitude of genotyping platforms have been developed for rice, the majority of them have not been optimized for breeding where cost, turnaround time, throughput and ease of use, relative to density and informativeness are critical parameters of their utility. With that in mind we report the development of the 1K-Rice Custom Amplicon, or 1k-RiCA, a robust custom sequencing-based amplicon panel of ~ 1000-SNPs that are uniformly distributed across the rice genome, designed to be highly informative within indica rice breeding pools, and tailored for genomic prediction in elite indica rice breeding programs.
Empirical validation tests performed on the 1k-RiCA showed average marker call rates of 95% with marker repeatability and concordance rates of 99%. These technical properties were not affected when two common DNA extraction protocols were used. The average distance between SNPs in the 1k-RiCA was 1.5 cM, similar to the theoretical distance which would be expected between 1,000 uniformly distributed markers across the rice genome. The average minor allele frequencies on a panel of indica lines was 0.36 and polymorphic SNPs estimated on pairwise comparisons between indica by indica accessions and indica by japonica accessions were on average 430 and 450 respectively. The specific design parameters of the 1k-RiCA allow for a detailed view of genetic relationships and unambiguous molecular IDs within indica accessions and good cost vs. marker-density balance for genomic prediction applications in elite indica germplasm. Predictive abilities of Genomic Selection models for flowering time, grain yield, and plant height were on average 0.71, 0.36, and 0.65 respectively based on cross-validation analysis. Furthermore the inclusion of important trait markers associated with 11 different genes and QTL adds value to parental selection in crossing schemes and marker-assisted selection in forward breeding applications.
This study validated the marker quality and robustness of the 1k-RiCA genotypic platform for genotyping populations derived from indica rice subpopulation for genetic and breeding purposes including MAS and genomic selection. The 1k-RiCA has proven to be an alternative cost-effective genotyping system for breeding applications.
虽然已经为水稻开发了多种基因分型平台,但其中大多数尚未针对育种进行优化,在育种中,相对于密度和信息性而言,成本、周转时间、通量和易用性是其效用的关键参数。考虑到这一点,我们报告了1K-水稻定制扩增子(1k-RiCA)的开发,这是一个基于测序的强大定制扩增子面板,包含约1000个单核苷酸多态性(SNP),这些SNP在水稻基因组中均匀分布,旨在在籼稻育种群体中具有高度信息性,并为优良籼稻育种计划中的基因组预测量身定制。
对1k-RiCA进行的实证验证测试显示,平均标记检出率为95%,标记重复性和一致性率为99%。使用两种常见的DNA提取方案时,这些技术特性不受影响。1k-RiCA中SNP之间的平均距离为1.5厘摩,类似于在水稻基因组中1000个均匀分布的标记之间预期的理论距离。籼稻品系面板上的平均次要等位基因频率为0.36,籼稻品种间和籼稻与粳稻品种间成对比较估计的多态性SNP平均分别为430和450。1k-RiCA的特定设计参数允许详细了解籼稻品种内的遗传关系和明确的分子标识,并在优良籼稻种质的基因组预测应用中实现良好的成本与标记密度平衡。基于交叉验证分析,基因组选择模型对开花时间、籽粒产量和株高的预测能力平均分别为0.71、0.36和0.65。此外,包含与11个不同基因和数量性状位点相关的重要性状标记,为杂交方案中的亲本选择和正向育种应用中的标记辅助选择增加了价值。
本研究验证了1k-RiCA基因分型平台用于籼稻亚群体衍生群体基因分型的标记质量和稳健性,用于遗传和育种目的,包括标记辅助选择和基因组选择。1k-RiCA已被证明是一种用于育种应用的具有成本效益的替代基因分型系统。