Structural variation reshapes population gene expression and trait variation in 2,105 Brassica napus accessions

Although individual genomic structural variants (SVs) are known to influence gene expression and trait variation, the extent and scale of SV impact across a species remain unknown. In the present study, we constructed a reference library of 334,461 SVs from genome assemblies of 16 representative morphotypes of neopolyploid Brassica napus accessions and detected 258,865 SVs in 2,105 resequenced genomes. Coupling with 5 tissue population transcriptomes, we uncovered 285,976 SV-expression quantitative trait loci (eQTLs) that associate with altered expression of 73,580 genes. We developed a pipeline for the high-throughput joint analyses of SV-genome-wide association studies (SV-GWASs) and transcriptome-wide association studies of phenomic data, eQTLs and eQTL-GWAS colocalization, and identified 726 SV-gene expression-trait variation associations, some of which were verified by transgenics. The pervasive SV impact on how SV reshapes trait variation was demonstrated with the glucosinolate biosynthesis and transport pathway. The study highlighting the impact of genome-wide and species-scale SVs provides a powerful methodological strategy and valuable resources for studying evolution, gene discovery and breeding.

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Publication Details

Journal
Nature Genetics
Published
2024-11-01
DOI
https://doi.org/10.1038/s41588-024-01957-7
Citations
51
Primary Topic
Nitrogen and Sulfur Effects on Brassica
Type
article
Field-Weighted Citation Impact
11.92
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article

Structural variation reshapes population gene expression and trait variation in 2,105 Brassica napus accessions

Qinglin Ke, Qingyong Yang, Yupeng Jia, Lìjiāng Liú et al.
51 citations
Nature Genetics
Nitrogen and Sulfur Effects on Brassica
11.92
article

Structural variation reshapes population gene expression and trait variation in 2,105 Brassica napus accessions

Qinglin Ke, Qingyong Yang, Yupeng Jia, Lìjiāng Liú, Zhiquan Yang, Daniel J. Kliebenstein, Yongming Zhou, Dongxu Liu, Harsh Raman, Yizhou He, Meili Xie, Congyuan Liang, Junyan Huang, Yuanyuan Zhang, Shengyi Liu, Xiaohui Cheng, Yueying Liu, Yang Xiang
article en
51 citations

Abstract

Although individual genomic structural variants (SVs) are known to influence gene expression and trait variation, the extent and scale of SV impact across a species remain unknown. In the present study, we constructed a reference library of 334,461 SVs from genome assemblies of 16 representative morphotypes of neopolyploid Brassica napus accessions and detected 258,865 SVs in 2,105 resequenced genomes. Coupling with 5 tissue population transcriptomes, we uncovered 285,976 SV-expression quantitative trait loci (eQTLs) that associate with altered expression of 73,580 genes. We developed a pipeline for the high-throughput joint analyses of SV-genome-wide association studies (SV-GWASs) and transcriptome-wide association studies of phenomic data, eQTLs and eQTL-GWAS colocalization, and identified 726 SV-gene expression-trait variation associations, some of which were verified by transgenics. The pervasive SV impact on how SV reshapes trait variation was demonstrated with the glucosinolate biosynthesis and transport pathway. The study highlighting the impact of genome-wide and species-scale SVs provides a powerful methodological strategy and valuable resources for studying evolution, gene discovery and breeding.

Nature GeneticsVol. 56(11)
Huazhong Agricultural University (CN), Guangzhou University (CN), Guizhou Academy of Agricultural Sciences (CN), Chinese Academy of Agricultural Sciences (CN), Oil Crops Research Institute (CN), University of California, Davis (US)
Zero hunger
Openalex Percentile: Top 1%
Nitrogen and Sulfur Effects on Brassica
11.92
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