ArticlePeerJ2018
Meta-analysis of transcriptomic responses to biotic and abiotic stress in tomato.
Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 7 of them syntheses that pooled it.
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Who cites it
37 citing papers in PubMed, 7 syntheses or guidelines pooled it, 66 citations in OpenAlex.
- Transcriptome-based meta-analysis of drought stress regulatory genes in tomato.BMC plant biology · 2025Pooled it
- Identification of biomarker genes from multiple studies for abiotic stress in maize through machine learning.Journal of biosciences · 2024Pooled it
- Global transcriptome analysis reveals fungal disease responsive core gene regulatory landscape in tea.Scientific reports · 2023Pooled it
- Integrated transcriptomic meta-analysis and comparative artificial intelligence models in maize under biotic stress.Scientific reports · 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
- Integration of meta-analysis, machine learning and systems biology approach for investigating the transcriptomic response to drought stress in Populus species.Scientific reports · 2023Pooled it
- Pooled it
- Identification of common transcriptional responses to salinity of two halophytes: Bruguiera gymnorrhiza and Populus euphratica.Scientific reports · 2026Article
- Identification of circadian-regulated genes for enhancing acidic soil tolerance in rice through integrative transcriptomic and systems analysis.Scientific reports · 2026Article
- Physiological and transcriptome analyses for revealing the mechanism of adventitious root formation in Camellia luteoflora.BMC plant biology · 2026Article
- Harnessing multi-omics and genome-editing technologies for climate-resilient agriculture: bridging AI-driven insights with sustainable crop improvement.Plant molecular biology · 2025Review
- A Meta-analysis of Transcriptome Data to Investigate the Effect of Soy Isoflavones on Breast Cancer Cell.Iranian journal of biotechnology · 2024Article
- Revitalizing agriculture: next-generation genotyping and -omics technologies enabling molecular prediction of resilient traits in the Solanaceae family.Frontiers in plant science · 2024Review
- Combined Transcriptome and Metabolome Analysis Reveals Adaptive Defense Responses to DON Induction in Potato.International journal of molecular sciences · 2023Article
- Comparison of Tomato Transcriptomic Profiles Reveals Overlapping Patterns in Abiotic and Biotic Stress Responses.International journal of molecular sciences · 2023Article
- Integrating ATAC-seq and RNA-seq Reveals the Dynamics of Chromatin Accessibility and Gene Expression in Apple Response to Drought.International journal of molecular sciences · 2022Article
- Identification of OSCA gene family in Solanum habrochaites and its function analysis under stress.BMC genomics · 2022Article
- Transcriptome Meta-Analysis Identifies Candidate Hub Genes and Pathways of Pathogen Stress Responses inBiology · 2022Article
- Meta-Analysis of Common and Differential Transcriptomic Responses to Biotic and Abiotic Stresses inPlants (Basel, Switzerland) · 2022Article
- Transcriptome Responses of WildPlants (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A wide range of biotic stresses (BS) and abiotic stresses (AS) adversely affect plant growth and productivity worldwide. The study of individual genes cannot be considered as an effective approach for the understanding of tolerance mechanisms, since these stresses are frequent and often in combination with each other, and a large number of genes are involved in these mechanisms. The availability of high-throughput genomic data has enabled the discovery of the role of transcription factors (TFs) in regulatory networks. A meta-analysis of BS and AS responses was performed by analyzing a total of 391 microarray samples from 23 different experiments and 2,336 differentially expressed genes (DEGs) involved in multiple stresses were identified. We identified 1,862 genes differentially regulated in response to BS was much greater than that regulated by AS, 835 genes, and found 15.4% or 361 DEGs with the conserved expression between AS and BS. The greatest percent of genes related to the cellular process (>76% genes), metabolic process (>76% genes) and response to stimulus (>50%). About 4.2% of genes involved in BS and AS responses belonged to the TF families. We identified several genes, which encode TFs that play an important role in AS and BS responses. These proteins included Jasmonate Ethylene Response Factor 1 (JERF1), SlGRAS6, MYB48, SlERF4, EIL2, protein LATE ELONGATED HYPOCOTYL (LHY), SlERF1, WRKY 26, basic leucine zipper TF, inducer of CBF expression 1-like, pti6, EIL3 and WRKY 11. Six of these proteins, JERF1, MYB48, protein LHY, EIL3, EIL2 and SlGRAS6, play central roles in these mechanisms. This research promoted a new approach to clarify the expression profiles of various genes under different conditions in plants, detected common genes from differentially regulated in response to these conditions and introduced them as candidate genes for improving plant tolerance through genetic engineering approach.
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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.