A high‐quality Brassica napus genome reveals expansion of transposable elements, subgenome evolution and disease resistance

生物 基因组 遗传学 油菜籽 芸苔属 基因 生态型 转座因子 单核苷酸多态性 油菜 植物 基因型
作者
Xuequn Chen,Chaobo Tong,Xingtan Zhang,Aixia Song,Ming Hu,Wei Dong,Fei Chen,Youping Wang,Jinxing Tu,Shengyi Liu,Haibao Tang,Liangsheng Zhang
出处
期刊:Plant Biotechnology Journal [Wiley]
卷期号:19 (3): 615-630 被引量:75
标识
DOI:10.1111/pbi.13493
摘要

Rapeseed (Brassica napus L.) is a recent allotetraploid crop, which is well known for its high oil production. Here, we report a high-quality genome assembly of a typical semi-winter rapeseed cultivar, 'Zhongshuang11' (hereafter 'ZS11'), using a combination of single-molecule sequencing and chromosome conformation capture (Hi-C) techniques. Most of the high-confidence sequences (93.1%) were anchored to the individual chromosomes with a total of 19 centromeres identified, matching the exact chromosome count of B. napus. The repeat sequences in the A and C subgenomes in B. napus expanded significantly from 500 000 years ago, especially over the last 100 000 years. These young and recently amplified LTR-RTs showed dispersed chromosomal distribution but significantly preferentially clustered into centromeric regions. We exhaustively annotated the nucleotide-binding leucine-rich repeat (NLR) gene repertoire, yielding a total of 597 NLR genes in B. napus genome and 17.4% of which are paired (head-to-head arrangement). Based on the resequencing data of 991 B. napus accessions, we have identified 18 759 245 single nucleotide polymorphisms (SNPs) and detected a large number of genomic regions under selective sweep among the three major ecotype groups (winter, semi-winter and spring) in B. napus. We found 49 NLR genes and five NLR gene pairs colocated in selective sweep regions with different ecotypes, suggesting a rapid diversification of NLR genes during the domestication of B. napus. The high quality of our B. napus 'ZS11' genome assembly could serve as an important resource for the study of rapeseed genomics and reveal the genetic variations associated with important agronomic traits.
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