ArticleFrontiers in plant science2015
Microarray Meta-Analysis Focused on the Response of Genes Involved in Redox Homeostasis to Diverse Abiotic Stresses in Rice.
Article in Frontiers in plant science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 5 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 5 syntheses or guidelines pooled it, 39 citations in OpenAlex.
- Identification of responsive genes to multiple abiotic stresses in rice (Oryza sativa): a meta-analysis of transcriptomics data.Scientific reports · 2024Pooled it
- Comparative Meta-analysis of Adipose Tissue Transcriptomics Data in PCOS Patients and Healthy Control Women.Reproductive sciences (Thousand Oaks, Calif.) · 2023Pooled 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
- Pooled it
- Comparative transcriptome meta-analysis of Arabidopsis thaliana under drought and cold stress.PloS one · 2018Pooled it
- Comparative Transcriptomic Analysis Reveals Salt Stress Adaptation Mechanisms in Cultivated Rice Varieties (Current issues in molecular biology · 2026Article
- Integrative cross-platform transcriptomic analysis coupled with machine learning identifies candidate biomarkers of abiotic stress resilience in Arabidopsis thaliana.BMC plant biology · 2026Article
- Identification and characterization of gene networks and key genes related to the high-yield production of milk in high-yield cows using meta-analysis of microarray data.Biochemistry and biophysics reports · 2025Article
- Transcriptome-based approaches for clarification of nutritional responses and improvement of crop production.Breeding science · 2021Article
- Meta-Analysis of Yield-Related and N-Responsive Genes Reveals Chromosomal Hotspots, Key Processes and Candidate Genes for Nitrogen-Use Efficiency in Rice.Frontiers in plant science · 2021Article
- Correlation between gene expression levels under drought stress and synonymous codon usage in rice plant by in-silico study.PloS one · 2020Article
- Combined QTL mapping and RNA-Seq profiling reveals candidate genes associated with cadmium tolerance in barley.PloS one · 2020Article
- Article
- Analysis of chickpea gene co-expression networks and pathways during heavy metal stress.Journal of biosciences · 2019Article
- Comparative analysis of Cd-responsive maize and rice transcriptomes highlights Cd co-modulated orthologs.BMC genomics · 2018Article
- Genetic factors underlying boron toxicity tolerance in rice: genome-wide association study and transcriptomic analysis.Journal of experimental botany · 2017Article
- Comparative Transcriptome Reveals ART1-Dependent Regulatory Pathways for Fe Toxicity Response in Rice Roots.Physiologia plantarumArticle
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plants are exposed to a wide range of abiotic stresses (AS), which often occur in combination. Because physiological investigations typically focus on one stress, our understanding of unspecific stress responses remains limited. The plant redox homeostasis, i.e., the production and removal of reactive oxygen species (ROS), may be involved in many environmental stress conditions. Therefore, this study intended to identify genes, which are activated in diverse AS, focusing on ROS-related pathways. We conducted a meta-analysis (MA) of microarray experiments, focusing on rice. Transcriptome data were mined from public databases and fellow researchers, which represented 36 different experiments and investigated diverse AS, including ozone stress, drought, heat, cold, salinity, and mineral deficiencies/toxicities. To overcome the inherent artifacts of different MA methods, data were processed using Fisher, rOP, REM, and product of rank (GeneSelector), and genes identified by most approaches were considered as shared differentially expressed genes (DEGs). Two MA strategies were adopted: first, datasets were separated into shoot, root, and seedling experiments, and these tissues were analyzed separately to identify shared DEGs. Second, shoot and seedling experiments were classed into oxidative stress (OS), i.e., ozone and hydrogen peroxide treatments directly producing ROS in plant tissue, and other AS, in which ROS production is indirect. In all tissues and stress conditions, genes a priori considered as ROS-related were overrepresented among the DEGs, as they represented 4% of all expressed genes but 7-10% of the DEGs. The combined MA approach was substantially more conservative than individual MA methods and identified 1001 shared DEGs in shoots, 837 shared DEGs in root, and 1172 shared DEGs in seedlings. Within the OS and AS groups, 990 and 1727 shared DEGs were identified, respectively. In total, 311 genes were shared between OS and AS, including many regulatory genes. Combined co-expression analysis identified among those a cluster of 42 genes, many involved in the photosynthetic apparatus and responsive to drought, iron deficiency, arsenic toxicity, and ozone. Our data demonstrate the importance of redox homeostasis in plant stress responses and the power of MA to identify candidate genes underlying unspecific signaling pathways.
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