bioRxivPlant BiologyPreprint
The Auxin Response Factor ARF27 is required for maize root morphogenesis
L. Dash, M. R. McReynolds, M. A. Draves, R. S. Khangura, R. L. Muench, J. Khor, C. L. Cowling, J. B. Callwood, L. Mejia, M. Lang, B. P. Dilkes, J. W. Walley, D. R. Kelley
Abstract
Crop root systems are central to nutrition acquisition and water usage. Root hairs and lateral roots contribute to fine-scale patterning of root systems and can offer many advantages for improving root function without drastically impacting overall system architecture. Key genetic regulators underpinning root hair morphogenesis have been well characterized in the model plant Arabidopsis but are less understood in maize. Here, we identify a novel determinant of root hair morphogenesis and auxin responses in maize, AUXIN RESPONSE FACTOR27 (ARF27), using both reverse and quantitative genetic approaches. ARF27 is enriched in maize primary root tissues at both the transcript and protein level. Loss of ARF27 leads to short primary roots and reduced root hair formation, while lateral root density is unaltered. In arf27 roots, auxin-responsive gene expression is dysregulated, which is consistent with the predicted function of this transcription factor. Moreover, a genome wide association study (GWAS) to uncover genetic determinants of auxin-dependent root traits identified ARF27 as a candidate gene. Furthermore, auxin hypersensitive maize genotypes exhibit altered crown root length and surface area in field-grown plants. A gene regulatory network (GRN) was reconstructed and an ARF27 subnetwork was integrated with DAP-seq and GWAS data to identify ARF27 target genes. The ARF27 GRN includes known maize root development genes, such as ROOTLESS CONCERNING CROWN ROOTS (RTCS), ROOTHAIRLESS 3 (RTH3) and RTH6. Altogether this work identifies a novel genetic driver of auxin-mediated root morphogenesis in maize that can inform agricultural strategies for improved crop performance.
- organism: zebrafish
- assay: proteomics
- assay: DNA methylation
- research focus: cell type annotation
- research focus: gene regulatory network inference
- approach: genetic perturbation / CRISPR
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