ArticleFrontiers in plant science2026
Integrated transcriptomic and metabolomic profiling reveals coordinated regulatory networks associated with mosaic disease resistance in sugarcane.
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
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Sugarcane mosaic disease (SCMD) poses a severe threat to global sugarcane yield. Since conventional field management is insufficient to restrict viral transmission, unraveling the underlying defense mechanisms is imperative for targeted breeding. The primary objective of this study was to delineate the molecular and metabolic networks governing SCMD resistance by comparing highly resistant (XIDAZHE10-19, YT94-128) and susceptible (HP, XTT22) cultivars. Methods: We employed metabolomic profiling and integrated transcriptomic data to investigate the genetic basis driving host responses. To further elucidate the functional and regulatory mechanics of identified key hub genes, we conducted weighted gene co-expression network analysis (WGCNA) alongside AlphaFold-driven structural predictions and interactome profiling. Results: Metabolomic profiling identified critical defense-associated metabolites --including alcoholamines and glycerol derivatives --that strongly correlate with disease incidence. Transcriptomic integration yielded two major findings. First, pathway enrichment revealed a striking dichotomy in defense strategies: XIDAZHE10-19 preferentially orchestrated the autophagy pathway and aromatic amino acid biosynthesis, whereas YT94-128 relied heavily on calcium signaling and peroxisome-mediated reactive oxygen species (ROS) homeostasis. Second, WGCNA pinpointed Discussion: The novelty of this work lies in uncovering divergent, cultivar-specific defense strategies and identifying novel genetic hubs through a multi-omics and structural biology approach. Together, these findings unveil a complex, multi-layered defense network against SCMD. The characterization of
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.