Agriculture and Agri-Food Canada, 107 Science Place, Saskatoon, SK, Canada.
Agrisoma Biosciences Inc., 110 Gymnasium Place, Saskatoon, SK, Canada.
Sci Rep. 2020 Jul 28;10(1):12629. doi: 10.1038/s41598-020-69255-w.
Ethiopian mustard (Brassica carinata A. Braun) is an emerging sustainable source of vegetable oil, in particular for the biofuel industry. The present study exploited genome assemblies of the Brassica diploids, Brassica nigra and Brassica oleracea, to discover over 10,000 genome-wide SNPs using genotype by sequencing of 620 B. carinata lines. The analyses revealed a SNP frequency of one every 91.7 kb, a heterozygosity level of 0.30, nucleotide diversity levels of 1.31 × 10, and the first five principal components captured only 13% molecular variation, indicating low levels of genetic diversity among the B. carinata collection. Genome bias was observed, with greater SNP density found on the B subgenome. The 620 lines clustered into two distinct sub-populations (SP1 and SP2) with the majority of accessions (88%) clustered in SP1 with those from Ethiopia, the presumed centre of origin. SP2 was distinguished by a collection of breeding lines, implicating targeted selection in creating population structure. Two selective sweep regions on B3 and B8 were detected, which harbour genes involved in fatty acid and aliphatic glucosinolate biosynthesis, respectively. The assessment of genetic diversity, population structure, and LD in the global B. carinata collection provides critical information to assist future crop improvement.
埃塞俄比亚芥菜(Brassica carinata A. Braun)是一种新兴的可持续蔬菜油来源,特别是对于生物燃料行业而言。本研究利用 Brassica 二倍体 Brassica nigra 和 Brassica oleracea 的基因组组装,通过对 620 条 B. carinata 系的测序基因型分析,发现了超过 10000 个全基因组 SNP。分析结果表明,SNP 频率为每 91.7kb 出现一个,杂合度水平为 0.30,核苷酸多样性水平为 1.31×10-3,前五个主成分仅捕获了 13%的分子变异,表明 B. carinata 群体遗传多样性水平较低。观察到基因组偏倚,B 亚基因组上 SNP 密度更大。620 条系聚为两个不同的亚群(SP1 和 SP2),其中 88%的系聚在 SP1,这些系来自埃塞俄比亚,被认为是起源中心。SP2 则以一系列育成系为特征,表明有针对性的选择导致了群体结构的形成。在 B3 和 B8 上检测到两个选择清除区域,分别包含参与脂肪酸和脂肪族硫代葡萄糖苷生物合成的基因。对全球 B. carinata 群体遗传多样性、种群结构和 LD 的评估提供了关键信息,有助于未来的作物改良。