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Identification of multiple binding motifs and genome-wide target genes of the OsSMF1 transcription factor during rice seed maturation

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  • URLhttps://db.koreascholar.com/Article/Detail/298103
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한국육종학회 (The Korean Breeding Society)
초록

Spatial- and temporal-specific expression patterns are primarily regulated at the transcriptional level by the promoter. Therefore, it is important to determine the binding motifs of transcription factors to understand the networks associated with embryogenesis. Here, we used a protein-binding microarray (PBM) to determine the binding motif of OsSMF1, which is a basic leucine zipper transcription factor that is involved in the regulation of rice seed maturation. OsSMF1 (previously called RISBZ1) is known to interact with GCN4 motifs (TGA(G/C)TCA) to regulate seed storage proteins (SSPs). In addition, OsSMF1 (also known as OsbZIP58) functions as a key regulator of starch synthesis in the rice seed. Quadruple 9-mer-based PBM (Q9-PBM) and electrophoretic mobility shift assay (EMSA) experiments revealed that OsSMF1 binds to the ACGT (CCACGT(C/G)), GCN4 (TGA(G/C)TCA), and GCN4-like (GGATGAC) motifs with Kd values of 0.3353 μM, 0.6458 μM, and 1.117 μM, respectively. We also identified 60 putative OsSMF1 target genes using a combination of data from expression microarrays and RiceArrayNet (RAN) analysis. Of these OsSMF1 target genes, 20, 22, and 17 genes contained ACGT, GCN4, and GCN4-like motifs within the 2-kb promoter region, respectively. In addition to known target genes, we also identified 35 potential OsSMF1 target genes that have not been previously described in immature seeds. We also confirmed that OsSMF1 directly regulates Os03g0168500 (thioredoxin-related protein), RPBF, NAC6, and two hypothetical proteins (Os12g0621600 and Os11g0582400) in vivo. This study suggests that OsSMF1 functions in a wide range of seed development processes with specific binding affinities for three DNA binding motifs

저자
  • Joung Sug Kim(Division of Bioscience and Bioinformatics, Myongji University)
  • Song Hwa Chae(Division of Bioscience and Bioinformatics, Myongji University)
  • YoungJin Woo(Division of Bioscience and Bioinformatics, Myongji University)
  • Min Sun Kim(Division of Bioscience and Bioinformatics, Myongji University)
  • Kyong Mi Jun(Genomics Genetics Institute, GreenGene BioTech Inc)
  • Yoo-Mok Pahk(Genomics Genetics Institute, GreenGene BioTech Inc)
  • Yeon-Ki Kim(Genomics Genetics Institute, GreenGene BioTech Inc)
  • Baek Hie Nahm(Division of Bioscience and Bioinformatics, Myongji University, Genomics Genetics Institute, GreenGene BioTech Inc) Corresponding Author