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Antagonistic MADS-box transcription factors SEEDSTICK and SEPALLATA3 form a transcriptional regulatory network that regulates seed oil accumulation.

Shuangcheng HeYuanchang MinZijin LiuFang ZhiRong MaAnkang GeShixiang WangYu ZhaoDanshuai PengDa ZhangMinshan JinBo SongJianjun WangYuan GuoMingxun Chen
Published in: Journal of integrative plant biology (2023)
Transcriptional regulation is essential for balancing multiple metabolic pathways that influence oil accumulation in seeds. Thus far, the transcriptional regulatory mechanisms that govern seed oil accumulation remain largely unknown. Here, we identified the transcriptional regulatory network composed of MADS-box transcription factors SEEDSTICK (STK) and SEPALLATA3 (SEP3), which bridges several key genes to regulate oil accumulation in seeds. We found that STK, highly expressed in the developing embryo, positively regulates seed oil accumulation in Arabidopsis (Arabidopsis thaliana). Furthermore, we discovered that SEP3 physically interacts with STK in vivo and in vitro. Seed oil content is increased by the SEP3 mutation, while it is decreased by SEP3 overexpression. The chromatin immunoprecipitation, electrophoretic mobility shift assay, and transient dual-luciferase reporter assays showed that STK positively regulates seed oil accumulation by directly repressing the expression of MYB5, SEP3, and SEED FATTY ACID REDUCER 4 (SFAR4). Moreover, genetic and molecular analyses demonstrated that STK and SEP3 antagonistically regulate seed oil production and that SEP3 weakens the binding ability of STK to MYB5, SEP3, and SFAR4. Additionally, we demonstrated that TRANSPARENT TESTA 8 (TT8) and ACYL-ACYL CARRIER PROTEIN DESATURASE 3 (AAD3) are direct targets of MYB5 during seed oil accumulation in Arabidopsis. Together, our findings provide the transcriptional regulatory network antagonistically orchestrated by STK and SEP3, which fine-tunes oil accumulation in seeds. This article is protected by copyright. All rights reserved.
Keyphrases
  • transcription factor
  • fatty acid
  • genome wide identification
  • dna binding
  • gene expression
  • genome wide
  • high throughput
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  • binding protein
  • crispr cas
  • dna damage
  • brain injury
  • network analysis