Evidence map›Paper›PMID 39501128›Full record

ArticleNature genetics2024

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

Yuanyuan Zhang, Zhiquan Yang, Yizhou He, Dongxu Liu, Yueying Liu, Congyuan Liang, Meili Xie, Yupeng Jia, Qinglin Ke, Yongming Zhou and 8 more

Abstract read
In one paragraph

Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Research evolution of flat peach (Frontiers in plant science · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Regulatory divergence of homoeologs underlies network optimization for fiber improvement in domesticated cotton.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Structural Variation and Its Roles in Plant Genomes.Plants (Basel, Switzerland) · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Chromosomal collinearity drives meiotic instability in Brassica autoallopolyploid.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Glucosinolates inInternational journal of molecular sciences · 2026
    Review
  19. The pangenome ofiScience · 2026
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Yuanyuan Zhang *The Key Laboratory of Biology and Genetic Improvement of Oil Crops, the Ministry of Agriculture of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China.ORCID http://orcid.org/0000-0002-6212-0943
Zhiquan Yang *National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.ORCID http://orcid.org/0000-0001-6283-0753
Yizhou HeThe Key Laboratory of Biology and Genetic Improvement of Oil Crops, the Ministry of Agriculture of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China.ORCID http://orcid.org/0000-0001-9497-8840
Dongxu LiuNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Yueying LiuThe Key Laboratory of Biology and Genetic Improvement of Oil Crops, the Ministry of Agriculture of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China.
Congyuan LiangNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Meili XieThe Key Laboratory of Biology and Genetic Improvement of Oil Crops, the Ministry of Agriculture of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China.
Yupeng JiaNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Qinglin KeThe Key Laboratory of Biology and Genetic Improvement of Oil Crops, the Ministry of Agriculture of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China.
Yongming ZhouNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Xiaohui ChengThe Key Laboratory of Biology and Genetic Improvement of Oil Crops, the Ministry of Agriculture of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China.
Junyan HuangThe Key Laboratory of Biology and Genetic Improvement of Oil Crops, the Ministry of Agriculture of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China.
Lijiang LiuThe Key Laboratory of Biology and Genetic Improvement of Oil Crops, the Ministry of Agriculture of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China.
Yang XiangGuizhou Rapeseed Institute, Guizhou Academy of Agricultural Sciences, Guiyang, China.
Harsh RamanNSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, New South Wales, Australia.ORCID http://orcid.org/0000-0001-9761-1518
Daniel J KliebensteinDepartment of Plant Sciences, University of California-Davis, Davis, CA, USA.ORCID http://orcid.org/0000-0001-5759-3175
Shengyi LiuThe Key Laboratory of Biology and Genetic Improvement of Oil Crops, the Ministry of Agriculture of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China. liusy@oilcrops.cn.ORCID http://orcid.org/0000-0002-4955-4763
Qing-Yong YangNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China. yqy@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0002-3510-8906

Funding

China Postdoctoral Science Foundation 2022M710875National Natural Science Foundation of China (National Science Foundation of China) 32070559National Natural Science Foundation of China (National Science Foundation of China) 32301868National Natural Science Foundation of China (National Science Foundation of China) 32322061National Natural Science Foundation of China (National Science Foundation of China) 32370681National Natural Science Foundation of China (National Science Foundation of China) U20A2034
6 · The paper itself

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.

Indexed as

Brassica napusGenome, PlantGenome-Wide Association StudyQuantitative Trait LociGene Expression Regulation, PlantGenetic VariationGenomic Structural VariationPhenotypeTranscriptome

Identifiers

PMID39501128
PMCPMC11549052

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.