Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Corrensstraße 3, Stadt Seeland 06466, Germany.
Justus Liebig University, Department of Plant Breeding, Heinrich-Buff-Ring 26-32, Gießen 35392, Germany.
Sci Data. 2015 Dec 8;2:150072. doi: 10.1038/sdata.2015.72.
Brassica napus (oilseed rape, canola) is one of the world's most important sources of vegetable oil for human nutrition and biofuel, and also a model species for studies investigating the evolutionary consequences of polyploidisation. Strong bottlenecks during its recent origin from interspecific hybridisation, and subsequently through intensive artificial selection, have severely depleted the genetic diversity available for breeding. On the other hand, high-throughput genome profiling technologies today provide unprecedented scope to identify, characterise and utilise genetic diversity in primary and secondary crop gene pools. Such methods also enable implementation of genomic selection strategies to accelerate breeding progress. The key prerequisite is availability of high-quality sequence data and identification of high-quality, genome-wide sequence polymorphisms representing relevant gene pools. We present comprehensive genome resequencing data from a panel of 52 highly diverse natural and synthetic B. napus accessions, along with a stringently selected panel of 4.3 million high-confidence, genome-wide SNPs. The data is of great interest for genomics-assisted breeding and for evolutionary studies on the origins and consequences in allopolyploidisation in plants.
油菜(甘蓝型油菜,即油菜籽)是世界上最重要的植物油来源之一,可用于人类营养和生物燃料,也是研究异源多倍体化进化后果的模式物种。油菜最近由种间杂交起源,并经过密集的人工选择,经历了强烈的瓶颈,导致可用于育种的遗传多样性严重枯竭。另一方面,高通量基因组分析技术如今为鉴定、描述和利用初级和次级作物基因库中的遗传多样性提供了前所未有的机会。这些方法还可以实施基因组选择策略,以加速育种进展。关键的前提是要有高质量的序列数据,并鉴定出代表相关基因库的高质量、全基因组序列多态性。我们提供了 52 个高度多样化的天然和合成油菜品系的综合基因组重测序数据,以及一个经过严格筛选的 430 万个高可信度、全基因组 SNPs 的面板。这些数据对于基于基因组的育种以及植物异源多倍体化起源和后果的进化研究都具有重要意义。