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Updated: May 7, 2026

Multipronged Phenotyping Approaches to Characterize Sugarcane Root Systems
Published on: August 17, 2022
Integrated multi-omics analysis reveals hormonal and nutrient networks regulating sugarcane tillering
Shimiao Chen1,2, Bin Shan1,2, Zeping Wang3
1Key Laboratory of Guangxi Subtropical Crops Research Institute, Nanning, China.
Introduction:
Sugarcane tillering represents a complex developmental process shaped by multiple interacting molecular networks. To outline a multi-omics regulatory framework linking hormonal, ionomic, and transcriptomic variation to contrasting tillering capacities in sugarcane, we analyzed contrasting genotypes using an integrated multi-omics approach.
Methods:
Four field-grown sugarcane genotypes at the peak tillering stage were analyzed using integrated transcriptomics, targeted phytohormone metabolomics, and ionomics, with three biological replicates per genotype × tissue combination.
Results:
High-tillering plants maintained a transcriptional and metabolic state optimized for growth, including enhanced expression of photosynthetic and carbon metabolic pathways, marked accumulation of the auxin-associated metabolite tryptamine (Log2FC = 4.97), elevated auxin- and cytokinin-associated metabolites, and preferential enrichment of micronutrients in tiller tissues. In contrast, low-tillering genotypes adopted a stress-prepared phenotype characterized by activation of defense and protein synthesis pathways, reduced 1-aminocyclopropane-1-carboxylic acid (ACC) levels in high-tillering plants relative to low-tillering plants (Log2FC = -2.26), accumulation of jasmonate-, salicylic acid-, and abscisic acid (ABA)-associated metabolites, and distinct ionomic signatures associated with nutrient imbalance. Weighted Gene Co-expression Network Analysis (WGCNA) further revealed a polarized regulatory structure, with the growth-associated module positively correlated with cis-Zeatin riboside (cZR) (yellow-labelled, r = 0.71), whereas the defense-associated module showed strong negative correlations with cZR/cis-Zeatin (cZ) (brown-labelled, r = -0.74/-0.75), and another defense-associated module showed positive correlations with ACC and Salicylic acid (SA) (turquoise-labelled, r = 0.77 and 0.79, respectively) .
Discussion:
This study provides an integrated multi-omics framework for understanding sugarcane tillering and highlights a coordinated growth-defense trade-off associated with contrasting tillering strategies.
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