Evidence map›Paper›PMID 40715521›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025

Integrating genome assembly, structural variation map construction and GWAS reveal the impact of SVs on agronomic traits of Brassica napus.

Nian Wang, Xianshuai Song, Lieqiong Kuang, Ze Tian, Kaifeng Wang, Keqi Li, Lan Ge, Yu Wu, Xinfa Wang, Xiaoling Dun and 1 more

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Joint analysis of GWAS and TILLING reveals the negative role of GLABRA2 in controlling seed oil content in Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    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

11 authors.

Nian WangKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China.ORCID http://orcid.org/0009-0005-1837-0100
Xianshuai SongKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China.
Lieqiong KuangKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China.
Ze TianKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China.
Kaifeng WangKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China.
Keqi LiKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China.
Lan GeKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China.
Yu WuKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China.
Xinfa WangKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China. wangxinfa@caas.cn.
Xiaoling DunKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China. dunxiaoling@caas.cn.ORCID http://orcid.org/0000-0003-4219-7879
Hanzhong WangKey Laboratory of Biology and Genetic Improvement of Oil Crops, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Ministry of Agriculture and Rural Affairs, Wuhan, 430062, China.

Funding

Agricultural Science and Technology Innovation Project CAAS-ASTIP-2021-OCRICentral Public-interest Scientific Institution Basal Research Fund No. 1610172024006China Agriculture Research System of MOF and MARA CARS-12National Key Research and Development Program of China 2023YFD1201401
6 · The paper itself

Abstract

key messageAn SV map of B. napus was constructed, SVs association with four agronomic traits were identified. This study provides a more systematic insight into the genetic variation of rapeseed. Rapeseed (Brassica napus L.) is one of the most major oil crops. The rapeseed genome is rich in structural variation (SV), while the functional identification and utilization of SVs are currently limited. In this study, genomes of two rapeseed accessions (4D122 and 5DH2900) were assembled, and the quality of both genomes has been improved compared to the most commonly used rapeseed reference genome ZS11. Using the long-reads sequencing data of 25 representative rapeseed accessions, an SV-map of B. napus was constructed, which contained the position and sequence information of 183,723 SVs; and combining with the long-reads data of 18 B. rapa and 26 B. oleracea accessions, an SV-map of A subgenome and C subgenome of Brassica was also constructed. Based on the SV-map, an SV-set containing 350 rapeseed accessions was constructed using resequencing data with an average sequencing depth of 25 × . SV-GWAS and SNP-GWAS revealed loci that associated with four agronomic traits of rapeseed, including glucosinolate concentrations in seeds (SGC), silique length, leaf trichomes and purple stem. Some potentially causal SVs were identified, such as SVs introduced from B. oleracea was found to may result in purple stem in rapeseed. Overall, this study provided abundant genomic resources for rapeseed, and systematically identified SVs in rapeseed genome and revealed their association with agronomic traits, lay the foundation for revealing the functions and breeding potential of SVs.

Indexed as

Brassica napusGenome, PlantGenomic Structural VariationChromosome MappingGenome-Wide Association StudyPhenotypePolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

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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.