The biosynthesis of storage reserves and auxin is coordinated by a hierarchical regulatory network in maize endosperm.
Teng SongQiang HuoChaobin LiQun WangLijun ChengWeiwei QiZeyang MaRentao SongPublished in: The New phytologist (2024)
Grain filling in maize (Zea mays) is intricately linked to cell development, involving the regulation of genes responsible for the biosynthesis of storage reserves (starch, proteins, and lipids) and phytohormones. However, the regulatory network coordinating these biological functions remains unclear. In this study, we identified 1744 high-confidence target genes co-regulated by the transcription factors (TFs) ZmNAC128 and ZmNAC130 (ZmNAC128/130) through chromatin immunoprecipitation sequencing coupled with RNA-seq analysis in the zmnac128/130 loss-of-function mutants. We further constructed a hierarchical regulatory network using DNA affinity purification sequencing analysis of downstream TFs regulated by ZmNAC128/130. In addition to target genes involved in the biosynthesis of starch and zeins, we discovered novel target genes of ZmNAC128/130 involved in the biosynthesis of lipids and indole-3-acetic acid (IAA). Consistently, the number of oil bodies, as well as the contents of triacylglycerol, and IAA were significantly reduced in zmnac128/130. The hierarchical regulatory network centered by ZmNAC128/130 revealed a significant overlap between the direct target genes of ZmNAC128/130 and their downstream TFs, particularly in regulating the biosynthesis of storage reserves and IAA. Our results indicated that the biosynthesis of storage reserves and IAA is coordinated by a multi-TFs hierarchical regulatory network in maize endosperm.
Keyphrases
- transcription factor
- single cell
- rna seq
- genome wide identification
- genome wide
- cell wall
- gene expression
- bioinformatics analysis
- stem cells
- dna damage
- wastewater treatment
- single molecule
- genome wide analysis
- mesenchymal stem cells
- network analysis
- circulating tumor
- cell free
- circulating tumor cells
- nucleic acid
- data analysis