ArticlePloS one2020
Gene co-expression network analysis to identify critical modules and candidate genes of drought-resistance in wheat.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Transcriptome meta-analysis of abiotic stresses-responsive genes and identification of candidate transcription factors for broad stress tolerance in wheat.Protoplasma · 2023Pooled it
- Transcriptomic Analyses and Weighted Gene Co-Expression Network Analysis (WGCNA) Identify Key Drought-Responsive Genes in Rice Roots (Plants (Basel, Switzerland) · 2026Article
- Time-Series-Based Co-Expression Network Analysis Reveals Key Regulatory Modules and Hub Genes in Salt-Tolerant Wheat Under Salt Stress.Current issues in molecular biology · 2026Article
- Exogenous 24-epibrassinolide enhances chilling tolerance inFrontiers in plant science · 2026Article
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- The Role of Omics Technology in Evaluating Plastic Pollution's Effects on Plants: A Comprehensive Review.International journal of molecular sciences · 2025Review
- Advances in Functional Genomics for Exploring Abiotic Stress Tolerance Mechanisms in Cereals.Plants (Basel, Switzerland) · 2025Review
- Harnessing Multi-Omics and Predictive Modeling for Climate-Resilient Crop Breeding: From Genomes to Fields.Genes · 2025Review
- Identification of critical transition signal (CTS) to characterize regulated stochasticity during ABA-induced growth-to-defense transition.BMC plant biology · 2025Article
- Transcriptome and WGCNA analysis revealed the molecular mechanism of drought resistance in new sugarcane varieties.Frontiers in plant science · 2025Article
- Moisture content and mycorrhizal fungi in maternal environment influence performance and composition ofHeliyon · 2024Article
- Integrating genes and metabolites: unraveling mango's drought resilience mechanisms.BMC plant biology · 2024Article
- Advanced Biotechnological Interventions in Mitigating Drought Stress in Plants.Plants (Basel, Switzerland) · 2024Review
- Exploring large-scale gene coexpression networks in peach (Horticulture research · 2024Article
- Network Biology Analyses and Dynamic Modeling of Gene Regulatory Networks under Drought Stress Reveal Major Transcriptional Regulators inInternational journal of molecular sciences · 2023Article
- Identification of key genes involved in secondary metabolite biosynthesis in Digitalis purpurea.PloS one · 2023Article
- Regulation of transcriptome networks that mediate ginsenoside biosynthesis by essential ecological factors.PloS one · 2023Article
- Transcriptomic and co-expression network analyses on diverse wheat landraces identifies candidate master regulators of the response to early drought.Frontiers in plant science · 2023Article
- Seed Myco-priming improves crop yield and herbivory induced defenses in maize by coordinating antioxidants and Jasmonic acid pathway.BMC plant biology · 2022Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo establish a gene co-expression network for identifying principal modules and hub genes that are associated with drought resistance mechanisms, analyzing their mechanisms, and exploring candidate genes. METHODS AND
findings42 data sets including PRJNA380841 and PRJNA369686 were used to construct the co-expression network through weighted gene co-expression network analysis (WGCNA). A total of 1,896,897,901 (284.30 Gb) clean reads and 35,021 differentially expressed genes (DEGs) were obtained from 42 samples. Functional enrichment analysis indicated that photosynthesis, DNA replication, glycolysis/gluconeogenesis, starch and sucrose metabolism, arginine and proline metabolism, and cell cycle were significantly influenced by drought stress. Furthermore, the DEGs with similar expression patterns, detected by K-means clustering, were grouped into 29 clusters. Genes involved in the modules, such as dark turquoise, yellow, and brown, were found to be appreciably linked with drought resistance. Twelve central, greatly correlated genes in stage-specific modules were subsequently confirmed and validated at the transcription levels, including TraesCS7D01G417600.1 (PP2C), TraesCS5B01G565300.1 (ERF), TraesCS4A01G068200.1 (HSP), TraesCS2D01G033200.1 (HSP90), TraesCS6B01G425300.1 (RBD), TraesCS7A01G499200.1 (P450), TraesCS4A01G118400.1 (MYB), TraesCS2B01G415500.1 (STK), TraesCS1A01G129300.1 (MYB), TraesCS2D01G326900.1 (ALDH), TraesCS3D01G227400.1 (WRKY), and TraesCS3B01G144800.1 (GT).
conclusionsAnalyzing the response of wheat to drought stress during different growth stages, we have detected three modules and 12 hub genes that are associated with drought resistance mechanisms, and five of those genes are newly identified for drought resistance. The references provided by these modules will promote the understanding of the drought-resistance mechanism. In addition, the candidate genes can be used as a basis of transgenic or molecular marker-assisted selection for improving the drought resistance and increasing the yields of wheat.
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