Crop Journal (Jun 2023)

Detection of new candidate genes controlling seed weight by integrating gene coexpression analysis and QTL mapping in Brassica napus L.

  • Hongli Dong,
  • Lei Yang,
  • Yilin Liu,
  • Guifu Tian,
  • Huan Tang,
  • Shuangshuang Xin,
  • Yixin Cui,
  • Qing Xiong,
  • Huafang Wan,
  • Zhi Liu,
  • Christian Jung,
  • Wei Qian

Journal volume & issue
Vol. 11, no. 3
pp. 842 – 851

Abstract

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Seed weight is a component of seed yield in rapeseed (Brassica napus L.). Although quantitative trait loci (QTL) for seed weight have been reported in rapeseed, only a few causal quantitative trait genes (QTGs) have been identified, resulting in a limitation in understanding of seed weight regulation. We constructed a gene coexpression network at the early seed developmental stage using transcripts of 20,408 genes in QTL intervals and 1017 rapeseed homologs of known genes from other species. Among the 10 modules in this gene coexpression network, modules 1 and 2 were core modules and contained genes involved in source–flow–sink processes such as synthesis and transportation of fatty acid and protein, and photosynthesis. A hub gene SERINE CARBOXYPEPTIDASE-LIKE 19 (SCPL19) was identified by candidate gene association analysis in rapeseed and functionally investigated using Arabidopsis T-DNA mutant and overexpression lines. Our study demonstrates the power of gene coexpression analysis to prioritize candidate genes from large candidate QTG sets and enhances the understanding of molecular mechanism for seed weight at the early developmental stage in rapeseed.

Keywords