Evidence map›Paper›PMID 29265559›Full record

ArticlePlant biotechnology journal2018

Dissection of the genetic architecture of three seed-quality traits and consequences for breeding in Brassica napus.

Bo Wang, Zhikun Wu, Zhaohong Li, Qinghua Zhang, Jianlin Hu, Yingjie Xiao, Dongfang Cai, Jiangsheng Wu, Graham J King, Haitao Li and 1 more

Abstract read
In one paragraph

Article in Plant biotechnology journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

68 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Glucosinolates inInternational journal of molecular sciences · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Genome-Wide Identification ofPlants (Basel, Switzerland) · 2025
    Article
  10. The Multi-Pistil Phenomenon in Higher Plants.Plants (Basel, Switzerland) · 2025
    Review
  11. Article
  12. Genome-wide association study reveals genetic loci for seed density per silique in rapeseed (Brassica napus L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Genome Analysis ofInternational journal of molecular sciences · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Review

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

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.

Bo WangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, Hubei, China.
Zhikun WuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, Hubei, China.
Zhaohong LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, Hubei, China.
Qinghua ZhangNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, Hubei, China.
Jianlin HuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, Hubei, China.
Yingjie XiaoNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, Hubei, China.
Dongfang CaiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, Hubei, China.
Jiangsheng WuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, Hubei, China.
Graham J KingSouthern Cross Plant Science, Southern Cross University, Lismore, NSW, Australia.
Haitao LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, Hubei, China.
Kede LiuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWASs) combining high-throughput genome resequencing and phenotyping can accelerate the dissection of genetic architecture and identification of genes for plant complex traits. In this study, we developed a rapeseed genomic variation map consisting of 4 542 011 SNPs and 628 666 INDELs. GWAS was performed for three seed-quality traits, including erucic acid content (EAC), glucosinolate content (GSC) and seed oil content (SOC) using 3.82 million polymorphisms in an association panel. Six, 49 and 17 loci were detected to be associated with EAC, GSC and SOC in multiple environments, respectively. The mean total contribution of these loci in each environment was 94.1% for EAC and 87.9% for GSC, notably higher than that for SOC (40.1%). A high correlation was observed between phenotypic variance and number of favourable alleles for associated loci, which will contribute to breeding improvement by pyramiding these loci. Furthermore, candidate genes were detected underlying associated loci, based on functional polymorphisms in gene regions where sequence variation was found to correlate with phenotypic variation. Our approach was validated by detection of well-characterized FAE1 genes at each of two major loci for EAC on chromosomes A8 and C3, along with MYB28 genes at each of three major loci for GSC on chromosomes A9, C2 and C9. Four novel candidate genes were detected by correlation between GSC and SOC and observed sequence variation, respectively. This study provides insights into the genetic architecture of three seed-quality traits, which would be useful for genetic improvement of B. napus.

Indexed as

Plant BreedingQuantitative Trait, HeritableBrassica napusChromosome MappingErucic AcidsGenetic LociGenetic VariationGenome-Wide Association StudyGlucosinolatesHigh-Throughput Nucleotide SequencingPolymorphism, Single NucleotideRapeseed OilSeedsTetraploidyerucic acidErucic AcidsGlucosinolatesRapeseed Oilcandidate genesgenome-wide association study (GWAS)genomic variationquantitative trait loci (QTLs)rapeseed (Brassica napus)seed-quality traits

Identifiers

PMID29265559
PMCPMC5999192

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.