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Updated: Jun 6, 2026

Identification of the Genes Involved in Stomatal Development via Epidermal Phenotype Scoring
Published on: January 20, 2023
Integrative transcriptomics nominates a 1R-MYB candidate associated with epidermal wax-related traits and
Xue You1,2, Yifeng Jin1,3, Xiaoxue Liang1
1College of Life Science and Agriculture Forestry, Qiqihar University, Qiqihar, China.
Abstract:
Cuticular wax-associated epidermal traits may contribute to water-loss regulation, yet their regulatory basis in Kentucky bluegrass (Poa pratensis L.) remains poorly defined. Here, we combined comparative phenotyping and de novo transcriptomics across three cultivars exhibiting contrasting wax-associated epidermal structures. Scanning electron microscopy revealed significant cultivar differences in wax crystal density (quantified as crystals per 100 μm2), and a pot water-withholding assay showed cultivar-dependent injury phenotypes accompanied by differential ROS staining, antioxidant enzyme activities, relative water content, and lipid peroxidation levels. De novo transcriptome assembly (BUSCO completeness 76.8%) of pooled reads from nine libraries identified 228310 unigenes, among which pairwise comparisons revealed 7257-29713 differentially expressed genes with recurrent enrichment of hormone signal transduction pathways. A multi-criteria filtering strategy highlighted a 1R-MYB gene (PpMYBS3) displaying the strongest expression concordance with the cultivar wax-density gradient and progressive stress inducibility by qRT-PCR. Stable overexpression of PpMYBS3 in two independent transgenic lines increased wax-associated epidermal structures, upregulated canonical wax biosynthesis genes (CER1, KCS6, ABCG11), reduced stomatal aperture area, enhanced root architecture traits, and mitigated ROS accumulation under PEG-induced osmotic stress. These results support PpMYBS3 as a candidate regulator sufficient to promote epidermal and root traits linked to stress adaptation, while emphasizing that direct quantification of wax composition (e.g., GC-MS wax profiling) and cuticular water-loss assays will be required to establish mechanistic causality.
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