Evidence map›Paper›PMID 42547915›Full record

ArticleMolecular horticulture2026

Comparative genomics and time-course transcriptomics uncover homoeologous exchange events reshaping glucosinolate metabolism in Brassica napus.

Yizhou He, Zetao Bai, Zengfeng Wang, Yu-Xuan Bai, Qinlin Ke, Fan Liu, Chaobo Tong, Aixia Gu, Marta Francisco, Deyang Xu and 5 more

Abstract read
In one paragraph

Article in Molecular horticulture, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Yizhou He *The Key Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, 430062, China.
Zetao Bai *The Key Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, 430062, China.
Zengfeng Wang *The Key Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, 430062, China.
Yu-Xuan BaiState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Qinlin KeThe Key Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, 430062, China.
Fan LiuThe Key Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, 430062, China.
Chaobo TongThe Key Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, 430062, China.
Aixia GuCollege of Horticulture, State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Hebei Agricultural University, Baoding, Hebei, 071001, China.
Marta FranciscoGroup of Genetics, Breeding and Biochemistry of Brassicas, Misión Biológica de Galicia, Pontevedra, 36080, Spain.
Deyang XuDynaMo Center, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Frederiksberg, Denmark.
Lijiang LiuThe Key Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, 430062, China. liulijiang@caas.cn.
Qing-Yong YangNational Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, Hubei, 430070, China. yqy@mail.hzau.edu.cn.
Shengyi LiuThe Key Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, 430062, China. liusy@oilcrops.cn.
Wen-Hui LinState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China. whlin@sjtu.edu.cn.
Yuanyuan ZhangThe Key Laboratory of Biology and Genetic Improvement of Oil Crops, The Ministry of Agriculture and Rural Affairs of PRC, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, Hubei, 430062, China. zhangyy@caas.cn.ORCID http://orcid.org/0000-0002-6212-0943

Funding

Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences CAAS-ASTIP-2013-OCRIAgricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences CAAS-ZDRW202105China Agriculture Research System of MOF and MARA CARS-12National Natural Science Foundation of China 32301868National Natural Science Foundation of China 32370681
6 · The paper itself

Abstract

Improving glucosinolate (GSL) profiles in rapeseed (Brassica napus)-high in leaves for pathogen resistance but low in seeds for meal quality-is a key breeding goal, yet its genetic basis remains unclear. Here, we present a chromosome-level genome assembly for ZY821, an elite high-GSL variety, generated using long-read sequencing and Hi-C scaffolding. Comparative analysis with the low-GSL variety ZS11 identified three major homoeologous exchange (HE) events and extensive structural variation. Notably, an A09-C09 HE event replaced the low-expression BnaC09.MYB28 allele with the high-expression BnaA09.MYB28 allele, resulting in elevated MYB28s expression and thereby increased GSL accumulation in ZY821, whereas a deletion of BnaA09.MYB28 in ZS11 significantly reduced the expression of multiple putative downstream targets in the GSL biosynthesis pathway, leading to a reduction in GSL content. This mechanism was supported by population-level HE analysis and time-course transcriptomes across 116 RNA-Seq samples. Furthermore, joint differential expression and co-expression network analyses uncovered several novel candidate genes implicated in GSL metabolism. Collectively, our study provides new mechanistic insights into the genetic control of GSL accumulation, with significant implications for breeding optimized GSL profiles.

Indexed as

Brassica napusGlucosinolate metabolismHomoeologous exchangeMYB28 transcription factorStructural variationTime-course transcriptome

Identifiers

PMID42547915
PMCPMC13435445

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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.