Evidence map›Paper›PMID 35346318›Full record

ArticleGenome biology2022

Multi-omics analysis dissects the genetic architecture of seed coat content in Brassica napus.

Yuting Zhang, Hui Zhang, Hu Zhao, Yefan Xia, Xiangbo Zheng, Ruyi Fan, Zengdong Tan, Chenhua Duan, Yansong Fu, Long Li and 6 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
8.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

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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

34 citing papers in PubMed, 75 citations in OpenAlex.

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  11. Transcriptome-Wide Association Uncovers LncRNAs Controlling Seed Weight in Soybean.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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  14. Natural variations inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Dissecting the cellular architecture and genetic circuitry of the soybean seed.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. A rare dominant alleleScience advances · 2025
    Article
  17. Article
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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

16 authors at 1 institution in 1 country.

Yuting Zhang *National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Hui Zhang *National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Hu Zhao *National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Yefan XiaNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Xiangbo ZhengNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Ruyi FanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Zengdong TanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Chenhua DuanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Yansong FuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Long LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Jiang YeNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Shan TangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Honghong HuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Weibo XieNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China.
Xuan YaoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China. xuanyao@mail.hzau.edu.cn.
Liang GuoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China. guoliang@mail.hzau.edu.cn.ORCID 0000-0001-7191-5062
Huazhong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrassica napus is an important vegetable oil source worldwide. Seed coat content is a complex quantitative trait that negatively correlates with the seed oil content in B. napus.

resultsHere we provide insights into the genetic basis of natural variation of seed coat content by transcriptome-wide association studies (TWAS) and genome-wide association studies (GWAS) using 382 B. napus accessions. By population transcriptomic analysis, we identify more than 700 genes and four gene modules that are significantly associated with seed coat content. We also characterize three reliable quantitative trait loci (QTLs) controlling seed coat content by GWAS. Combining TWAS and correlation networks of seed coat content-related gene modules, we find that BnaC07.CCR-LIKE (CCRL) and BnaTT8s play key roles in the determination of the trait by modulating lignin biosynthesis. By expression GWAS analysis, we identify a regulatory hotspot on chromosome A09, which is involved in controlling seed coat content through BnaC07.CCRL and BnaTT8s. We then predict the downstream genes regulated by BnaTT8s using multi-omics datasets. We further experimentally validate that BnaCCRL and BnaTT8 positively regulate seed coat content and lignin content. BnaCCRL represents a novel identified gene involved in seed coat development. Furthermore, we also predict the key genes regulating carbon allocation between phenylpropane compounds and oil during seed development in B. napus.

conclusionsThis study helps us to better understand the complex machinery of seed coat development and provides a genetic resource for genetic improvement of seed coat content in B. napus breeding.

Indexed as

Brassica napusGenome-Wide Association StudyPlant BreedingQuantitative Trait LociSeedsBrassica napusCo-expression networkeQTLPhenylpropane pathwaySeed coat contentSeed oil contentTWAS

Identifiers

PMID35346318
PMCPMC8962237
OpenAlexW4220658331

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.