ArticleFrontiers in plant science2026
Integrated multi-omics analysis reveals hormonal and nutrient networks regulating sugarcane tillering.
Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.