ArticleFrontiers in plant science2026
Integrative transcriptomic and metabolomic analysis reveals the molecular basis of leaf variegation in
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. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Leaf variegation is a key ornamental trait of Methods: Wild-type plants and two leaf color mutants-spot variegation type (BanYi) and line variegation type (XianYi)-were analyzed. Samples were divided into five groups based on leaf origin and color: CK (wild type), B (yellow sectors of BanYi), BL (green sectors of BanYi), X (yellow sectors of XianYi), and XL (green sectors of XianYi). Integrated transcriptomic and metabolomic analyses were performed. Differential expression analysis was conducted across four comparison groups (B vs BL, B vs CK, X vs CK, and X vs XL). Co-expression analysis, metabolite profiling, correlation analysis, and weighted gene co-expression network analysis (WGCNA) were used to identify key regulatory genes and modules associated with pigment accumulation. Results: A total of 6,716 differentially expressed genes (DEGs) were identified, with 141 shared among all comparison groups. These DEGs were significantly enriched in phenylpropanoid biosynthesis, zeatin biosynthesis, and flavonoid biosynthesis pathways. Twenty-four DEGs involved in flavonoid biosynthesis, including structural genes such as Discussion: These results demonstrate that leaf variegation in
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.