Functional Analysis of Poplar SOMBRERO-type NAC Transcription Factors Yields a Strategy to Modify Woody Cell Wall Properties.
Nobuhiro AkiyoshiAyumi IharaTomoko MatsumotoArika TakebayashiRyoko HiroyamaJun KikuchiTaku DemuraMisato OhtaniPublished in: Plant & cell physiology (2021)
Woody cells generate lignocellulosic biomass, which is a promising sustainable bioresource for wide industrial applications. Woody cell differentiation in vascular plants, including the model plant poplar (Populus trichocarpa), is regulated by a set of NAC family transcription factors, the VNS (VND, NST/SND, and SMB-related) proteins, but the precise contributions of each VNS protein to wood quality are unknown. Here, we performed a detailed functional analysis of the poplar SMB-type VNS proteins PtVNS13-PtVNS16. PtVNS13-PtVNS16 were preferentially expressed in roots in young poplar plantlets, similarly to the Arabidopsis thaliana SOMBRERO (SMB) gene. PtVNS13 and PtVNS14, as well as the NST-type PtVNS11, suppressed the abnormal root cap phenotype of the Arabidopsis sombrero-3 mutant, whereas the VND-type PtVNS07 gene did not, suggesting a functional gap between SMB- or NST-type VNS proteins and VND-type VNS proteins. Overexpressing PtVNS13-PtVNS16 in Arabidopsis seedlings and poplar leaves induced ectopic xylem-vessel-like cells with secondary wall deposition, and a transient expression assay showed that PtVNS13-16 transactivated woody-cell-related genes. Interestingly, although any VNS protein rescued the pendant stem phenotype of the Arabidopsis nst1-1 nst3-1 mutant, the resulting inflorescence stems exhibited distinct cell wall properties: poplar VNS genes generated woody cell walls with higher enzymatic saccharification efficiencies compared with Arabidopsis VNS genes. Together, our data reveal clear functional diversity among VNS proteins in woody cell differentiation and demonstrate a novel VNS-based strategy for modifying woody cell wall properties toward enhanced utilization of woody biomass.
Keyphrases
- cell wall
- transcription factor
- genome wide identification
- genome wide
- arabidopsis thaliana
- wastewater treatment
- single cell
- stem cells
- poor prognosis
- induced apoptosis
- cell therapy
- copy number
- heavy metals
- high throughput
- dna methylation
- gene expression
- electronic health record
- deep learning
- endothelial cells
- amino acid
- anaerobic digestion
- dna binding
- plant growth
- protein protein
- artificial intelligence
- subarachnoid hemorrhage
- cell cycle arrest