Ishikawa Prefectural University, 1-308, Suematsu, Nonoichi, Ishikawa, 921-8836, Japan.
Centre for AgriBioscience (AgriBio), La Trobe University, 5 Ring Road, Bundoora, VIC, 3086, Australia.
Theor Appl Genet. 2019 Oct;132(10):2913-2925. doi: 10.1007/s00122-019-03396-z. Epub 2019 Jul 17.
An improved protocol of QTL-seq, an NGS-based method for bulked segregant analysis we previously developed in rice, allowed successful mapping of QTLs of interest in the highly heterozygous genome of B. rapa, demonstrating the power of this elegant method for genetic analyses in heterozygous species of economic importance. Recent advances in next-generation sequencing (NGS) and the various NGS-based methods developed for rapidly identifying candidate genes of interest have accelerated genetic analysis mainly in the model plants rice and Arabidopsis. Brassica rapa includes several economically important crops such as Chinese cabbage, turnip and various leafy vegetables. The application of NGS-based approaches for the analysis of B. rapa has been limited mainly due to its highly heterozygous genome and poor quality of the reference genome sequence currently available for this species. In this study, we have improved QTL-seq, a method for NGS-based bulked segregant analysis we previously developed in rice, extending its applicability for accelerating the genetic analysis and molecular breeding of B. rapa. Addition of new filters to the original QTL-seq pipeline allowed removal of spurious single-nucleotide polymorphisms caused by alignment/sequencing errors and variability between parents, significantly improving accuracy of the analysis. As proof of principle, we successfully applied the new approach to identify candidate genomic regions controlling flowering and trichome formation using segregating F2 progeny obtained from crosses made between cultivars of B. rapa showing contrasting phenotypes for these traits. We strongly believe that the improved QTL-seq method reported here will extend the applicability of NGS-based genetic analysis not only to B. rapa but also to other plant species of economic importance with heterozygous genomes.
我们先前在水稻中开发了一种基于 NGS 的批量分离分析方法 QTL-seq,其改进的方案允许成功绘制芥菜基因组高度杂合条件下目标 QTL,证明了该优雅方法在具有经济重要性的杂合物种遗传分析中的强大功能。近年来,下一代测序(NGS)的进步以及为快速鉴定目标候选基因而开发的各种基于 NGS 的方法主要加速了模型植物水稻和拟南芥的遗传分析。芸薹属包括几种经济上重要的作物,如白菜、萝卜和各种绿叶蔬菜。由于其高度杂合的基因组和当前可用的该物种参考基因组序列质量差,基于 NGS 的方法在芥菜中的应用受到限制。在这项研究中,我们改进了 QTL-seq,这是我们先前在水稻中开发的一种基于 NGS 的批量分离分析方法,扩展了其在加速芥菜遗传分析和分子育种中的适用性。在原始 QTL-seq 管道中添加新的过滤器可以去除由于比对/测序错误和父母之间的变异引起的假单核苷酸多态性,从而显著提高分析的准确性。作为原理证明,我们成功地应用了新方法来鉴定控制开花和毛状体形成的候选基因组区域,使用来自芥菜品种杂交的分离 F2 后代进行分析,这些品种在这些性状上表现出相反的表型。我们坚信,这里报告的改进的 QTL-seq 方法不仅将扩展基于 NGS 的遗传分析在芥菜中的适用性,而且还将扩展到具有杂合基因组的其他经济重要植物物种。