ArticleBMC plant biology2025
Integrated transcriptomic and metabolomic analyses reveal critical gene regulatory network in response to drought stress in Dendrobium nobile Lindl.
Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Regulatory Mechanisms of Salinity-Induced Triterpenoid Saponin Biosynthesis inPlants (Basel, Switzerland) · 2026Article
- Expression profiles of transcription factors and aquaporins suggest putative roles in rubber biosynthesis regulation and drought stress adaptation in guayule.Scientific reports · 2026Article
- Article
- Deciphering Molecular Pathways ofMicroorganisms · 2026Article
- Integrated multi-omics analysis reveals key genes and metabolic regulatory networks involved in the drought stress response of potato.Frontiers in plant science · 2026Article
- Geographical origin orchestrates acteoside accumulation inFrontiers in plant science · 2026Article
- Integrative transcriptomic and metabolomic analyses of the drought response mechanisms of stem spines in desert plants from the Ebinur Lake.Frontiers in plant science · 2026Article
- Physiological and molecular mechanism analysis of Cyclocodon lancifolius seedlings in response to varying degrees of drought stress.BMC plant biology · 2025Article
- Article
- Integrated transcriptomic and metabolomic analyses provide new insights into alkaline stress tolerance inFrontiers in plant science · 2025Article
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
Abstract
backgroundDendrobium nobile Lindl belongs to the genus Dendrobium of the orchid family and is a valuable herbal medicine. Drought stress severely affects the growth of D. nobile Lindl; however, the specific regulatory mechanisms have not yet been elucidated.
resultsIn the present study, we conducted a combined transcriptome and metabolome analysis of D. nobile Lindl stems under different drought stress conditions. Global transcriptomic changes were detected in Dendrobium under different drought stress conditions. KEGG enrichment analysis showed that the DEGs were enriched in plant hormone signal transduction; cutin, suberin, and wax biosynthesis; starch and sucrose metabolism; and the biosynthesis of various plant secondary metabolites. The differentially abundant metabolites (DAMs) detected using STEM analysis were enriched in pathways associated with glucosinolate biosynthesis and cyanoamino acid metabolism. We constructed a regulatory network for the drought tolerance of Dendrobium by weighted gene co-expression analysis.
conclusionsThe results showed that arginine and proline metabolism, glucosinolate biosynthesis and tyrosine metabolism pathways participated in regulating drought stress in D. nobile Lindl. Our study provides a theoretical basis for studying the drought resistance mechanisms in Dendrobium.
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.