Genome-Wide Association Study Dissects the Genetic Architecture of Seed Weight and Seed Quality in Rapeseed (Brassica napus L.)

Feng Li, Biyun Chen, Kun Xu, Jinfeng Wu, Weilin Song, Ian Bancroft, Andrea L Harper, Martin Trick, Shengyi Liu, Guizhen Gao, Nian Wang, Guixin Yan, Jiangwei Qiao, Jun Li, Hao Li, Xin Xiao, Tianyao Zhang, Xiaoming Wu

Research output: Contribution to journalArticlepeer-review


Association mapping can quickly and efficiently dissect complex agronomic traits. Rapeseed is one of the most economically important polyploid oil crops, although its genome sequence is not yet published. In this study, a recently developed 60K Brassica Infinium(®) SNP array was used to analyse an association panel with 472 accessions. The single-nucleotide polymorphisms (SNPs) of the array were in silico mapped using 'pseudomolecules' representative of the genome of rapeseed to establish their hypothetical order and to perform association mapping of seed weight and seed quality. As a result, two significant associations on A8 and C3 of Brassica napus were detected for erucic acid content, and the peak SNPs were found to be only 233 and 128 kb away from the key genes BnaA.FAE1 and BnaC.FAE1. BnaA.FAE1 was also identified to be significantly associated with the oil content. Orthologues of Arabidopsis thaliana HAG1 were identified close to four clusters of SNPs associated with glucosinolate content on A9, C2, C7 and C9. For seed weight, we detected two association signals on A7 and A9, which were consistent with previous studies of quantitative trait loci mapping. The results indicate that our association mapping approach is suitable for fine mapping of the complex traits in rapeseed.

Original languageEnglish
JournalDNA Research
Issue number4
Early online date7 Feb 2014
Publication statusPublished - 1 Aug 2014


  • Brassica napus
  • association mapping
  • SNP
  • seed quality
  • seed weight

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