Evidence map›Paper›PMID 28393910›Full record

ArticleScientific reports2017

Genetic dissection of seed oil and protein content and identification of networks associated with oil content in Brassica napus.

Hongbo Chao, Hao Wang, Xiaodong Wang, Liangxing Guo, Jianwei Gu, Weiguo Zhao, Baojun Li, Dengyan Chen, Nadia Raboanatahiry, Maoteng Li

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

61 citing papers in PubMed.

  1. Review
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  8. A rare dominant alleleScience advances · 2025
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  9. Article
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  11. Genetic dissection of Brassica napus seed vigor after aging.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  12. Multi-Omics Analysis Revealed thePlants (Basel, Switzerland) · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Current issues in molecular biology · 2023
    Review
  18. Article
  19. Dissecting the Meiotic Recombination Patterns in aInternational journal of molecular sciences · 2023
    Article
  20. Article

1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Hongbo ChaoDepartment of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Hao WangHybrid Rapeseed Research Center of Shaanxi Province, Shaanxi Rapeseed Branch of National Centre for Oil Crops Genetic Improvement, Yangling, 712100, China.
Xiaodong WangDepartment of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Liangxing GuoDepartment of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Jianwei GuDepartment of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Weiguo ZhaoDepartment of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Baojun LiHybrid Rapeseed Research Center of Shaanxi Province, Shaanxi Rapeseed Branch of National Centre for Oil Crops Genetic Improvement, Yangling, 712100, China.
Dengyan ChenDepartment of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Nadia RaboanatahiryDepartment of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Maoteng LiDepartment of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-density linkage maps can improve the precision of QTL localization. A high-density SNP-based linkage map containing 3207 markers covering 3072.7 cM of the Brassica napus genome was constructed in the KenC-8 × N53-2 (KNDH) population. A total of 67 and 38 QTLs for seed oil and protein content were identified with an average confidence interval of 5.26 and 4.38 cM, which could explain up to 22.24% and 27.48% of the phenotypic variation, respectively. Thirty-eight associated genomic regions from BSA overlapped with and/or narrowed the SOC-QTLs, further confirming the QTL mapping results based on the high-density linkage map. Potential candidates related to acyl-lipid and seed storage underlying SOC and SPC, respectively, were identified and analyzed, among which six were checked and showed expression differences between the two parents during different embryonic developmental periods. A large primary carbohydrate pathway based on potential candidates underlying SOC- and SPC-QTLs, and interaction networks based on potential candidates underlying SOC-QTLs, was constructed to dissect the complex mechanism based on metabolic and gene regulatory features, respectively. Accurate QTL mapping and potential candidates identified based on high-density linkage map and BSA analyses provide new insights into the complex genetic mechanism of oil and protein accumulation in the seeds of rapeseed.

Indexed as

Biological Variation, PopulationBrassica napusChromosome MappingGenetic Association StudiesGenetic LinkageMetabolic Networks and PathwaysPlant OilsPlant ProteinsPolymorphism, Single NucleotideQuantitative Trait, HeritableQuantitative Trait LociSeedsPlant OilsPlant Proteins

Identifiers

PMID28393910
PMCPMC5385559

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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.