ArticleGenes2023
Hub Gene Mining and Co-Expression Network Construction of Low-Temperature Response in Maize of Seedling by WGCNA.
Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Comparative phytochemical profiling and meta‑analysis of public transcriptomic datasets uncover species‑ and organ‑specific patterns of flavonoid and phenolic biosynthesis in Ferula species.BMC plant biology · 2026Pooled it
- ROS-Centered Transcriptomic Regulatory Networks Linking Salinity Stress, Antioxidant Defense and Processability Traits inCurrent issues in molecular biology · 2026Review
- Multi-algorithm machine learning combined with in silico gene knockout reveals the diagnostic value and functional regulatory networks of ferroptosis-related genes in gastric cancer.Translational cancer research · 2026Article
- Identification and functional validation of hub genes responding to waterlogging stress during the filling period in quinoa (Chenopodium Quinoa Willd.).BMC plant biology · 2026Article
- Brassinosteroids Enhance Low-Temperature Resistance by Promoting the Formation of Sugars in Maize Mesocotyls.Plants (Basel, Switzerland) · 2025Article
- Article
- Transcriptome and WGCNA Reveal the Key Genes of Arbuscular Mycorrhizal Fungi in Regulating Sugarcane Growth and Nutrient Absorption.Food science & nutrition · 2025Article
- Isolation and identification of core-genes in barley roots under low phosphorus stress.Molecular biology reports · 2025Article
- Article
- Combined transcriptomic and proteomic analysis reveals the response mechanisms of alfalfa to freezing stress.Frontiers in plant science · 2025Article
- Article
- Identification and core gene-mining of Weighted Gene Co-expression Network Analysis-based co-expression modules related to flood resistance in quinoa seedlings.BMC genomics · 2024Article
- Mining Heat-Resistant Key Genes of Peony Based on Weighted Gene Co-Expression Network Analysis.Genes · 2024Article
- DIA-Based Quantitative Proteomics in the Flower Buds of TwoInternational journal of molecular sciences · 2024Article
- Hub Genes and Pathways Related to Lemon (International journal of molecular sciences · 2024Article
- Study of red vine phenotypic plasticity across central-southern Italy sites: an integrated analysis of the transcriptome and weather indices through WGCNA.Frontiers in plant science · 2024Article
- Analysis of huanglongbing-associated RNA-seq data reveals disturbances in biological processes withinFrontiers in plant science · 2024Article
- Article
- Gene Co-Expression Analysis Reveals the Transcriptome Changes and Hub Genes of Fructan Metabolism in Garlic under Drought Stress.Plants (Basel, Switzerland) · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Weighted gene co-expression network analysis (WGCNA) is a research method in systematic biology. It is widely used to identify gene modules related to target traits in multi-sample transcriptome data. In order to further explore the molecular mechanism of maize response to low-temperature stress at the seedling stage, B144 (cold stress tolerant) and Q319 (cold stress sensitive) provided by the Maize Research Institute of Heilongjiang Academy of Agricultural Sciences were used as experimental materials, and both inbred lines were treated with 5 °C for 0 h, 12 h, and 24 h, with the untreated material as a control. Eighteen leaf samples were used for transcriptome sequencing, with three biological replicates. Based on the above transcriptome data, co-expression networks of weighted genes associated with low-temperature-tolerance traits were constructed by WGCNA. Twelve gene modules significantly related to low-temperature tolerance at the seedling stage were obtained, and a number of hub genes involved in low-temperature stress regulation pathways were discovered from the four modules with the highest correlation with target traits. These results provide clues for further study on the molecular genetic mechanisms of low-temperature tolerance in maize at the seedling stage.
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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 Socratic graph.