ArticleBotanical studies2017
Microarray meta-analysis to explore abiotic stress-specific gene expression patterns in Arabidopsis.
Article in Botanical studies, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Identification of Key Gene Network Modules and Hub Genes Associated with Wheat Response to Biotic Stress Using Combined Microarray Meta-analysis and WGCN Analysis.Molecular biotechnology · 2023Pooled it
- From Shared Mechanisms to Precision Breeding: Engineering Cold and Drought Cross-Tolerance in Crops.International journal of molecular sciences · 2026Review
- Novel candidate genes for environmental stresses response in Synechocystis sp. PCC 6803 revealed by machine learning algorithms.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024Article
- Large-scale comparative transcriptomic analysis of temperature-responsive genes in Arabidopsis thaliana.Plant molecular biology · 2022Article
- TheNAR genomics and bioinformatics · 2020Article
- Molecular Analysis of UV-C Induced Resveratrol Accumulation inInternational journal of molecular sciences · 2019Article
- Article
- Depicting the Core Transcriptome Modulating Multiple Abiotic Stresses Responses in Sesame (International journal of molecular sciences · 2019Article
- Analytical Methods for Detection of Plant Metabolomes Changes in Response to Biotic and Abiotic Stresses.International journal of molecular sciences · 2019Review
- Large Scale Proteomic Data and Network-Based Systems Biology Approaches to Explore the Plant World.Proteomes · 2018Article
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3 authors.
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Abstract
backgroundAbiotic stresses are the major limiting factors that affect plant growth, development, yield and final quality. Deciphering the underlying mechanisms of plants' adaptations to stresses using few datasets might overlook the different aspects of stress tolerance in plants, which might be simultaneously and consequently operated in the system. Fortunately, the accumulated microarray expression data offer an opportunity to infer abiotic stress-specific gene expression patterns through meta-analysis. In this study, we propose to combine microarray gene expression data under control, cold, drought, heat, and salt conditions and determined modules (gene sets) of genes highly associated with each other according to the observed expression data.
resultsBy analyzing the expression variations of the Eigen genes from different conditions, we had identified two, three, and five gene modules as cold-, heat-, and salt-specific modules, respectively. Most of the cold- or heat-specific modules were differentially expressed to a particular degree in shoot samples, while most of the salt-specific modules were differentially expressed to a particular degree in root samples. A gene ontology (GO) analysis on the stress-specific modules suggested that the gene modules exclusively enriched stress-related GO terms and that different genes under the same GO terms may be alternatively disturbed in different conditions. The gene regulatory events for two genes, DREB1A and DEAR1, in the cold-specific gene module had also been validated, as evidenced through the literature search.
conclusionsOur protocols study the specificity of the gene modules that were specifically activated under a particular type of abiotic stress. The biplot can also assist to visualize the stress-specific gene modules. In conclusion, our approach has the potential to further elucidate mechanisms in plants and beneficial for future experiments design under different abiotic stresses.
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