ArticleGenes2022
WGCNA Analysis Identifies the Hub Genes Related to Heat Stress in Seedling of Rice (
Article in Genes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 36 citations in OpenAlex.
- Transcriptome Analysis Coupled with Metabolome Profiling at a Key Time Point Reveals the Molecular Mechanism of Cold Stress Response in Oil Palm (Plants (Basel, Switzerland) · 2026Article
- Strigolactone-mediated drought tolerance in maize (Zea mays) seedlings: an omics approach.BMC plant biology · 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
- Aconserved salt-stress co-expression network in japonica rice reveals partially dissociated hub gene connectivity and transcriptional induction.Frontiers in plant science · 2026Article
- Screening and Identification of BMP5 as a Key Regulatory Gene for hPSCs Transcardiomyocyte Differentiation.Stem cells international · 2026Article
- Integrative analysis of molecular mechanisms in prostate cancer via single-cell RNA sequencing and weighted gene co-expression network analysis.Scientific reports · 2025Article
- Identification of Key Biomarkers of Growth-Related Traits in the Bay Scallop Argopecten irradians irradians via Multi-omics Analysis Strategies.Marine biotechnology (New York, N.Y.) · 2025Article
- Accelerating crop improvement via integration of transcriptome-based network biology and genome editing.Planta · 2025Review
- Microbiomic and Metabolomic Insights into the Mechanisms of Alfalfa Polysaccharides and Seaweed Polysaccharides in Alleviating Diarrhea in Pre-Weaning Holstein Calves.Animals : an open access journal from MDPI · 2025Article
- Decoding the saline-alkaline tolerance nexus in soybean: a dual-method evaluation model coupled with co-expression networks identifies core regulatory genes.Frontiers in plant science · 2025Article
- Identification of heterophyllin B accumulation associated genes via WGCNA inFrontiers in plant science · 2025Article
- Decrypting molecular mechanism of heat stress tolerance in rice to tackle climate change challenges through recent approaches.Frontiers in plant science · 2025Review
- Soil-Mulching Treatment Enhances the Content of Stilbene in Grape Berries: A Transcriptomic and Metabolomic Analysis.Foods (Basel, Switzerland) · 2024Article
- Deciphering molecular regulation of reactive oxygen species (ROS) and reactive nitrogen species (RNS) signalling networks in Oryza genus amid environmental stress.Plant cell reports · 2024Review
- Comprehensive Transcriptome and Proteome Analyses Reveal the Drought Responsive Gene Network in Potato Roots.Plants (Basel, Switzerland) · 2024Article
- Review
- Article
- Transcriptomic and metabolomic changes in postharvest sugarbeet roots reveal widespread metabolic changes in storage and identify genes potentially responsible for respiratory sucrose loss.Frontiers in plant science · 2024Article
- Article
- Co-Expression Networks in Sunflower: Harnessing the Power of Multi-Study Transcriptomic Public Data to Identify and Categorize Candidate Genes for Fungal Resistance.Plants (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Frequent high temperature weather affects the growth and development of rice, resulting in the decline of seed-setting rate, deterioration of rice quality and reduction of yield. Although some high temperature tolerance genes have been cloned, there is still little success in solving the effects of high temperature stress in rice (Oryza sativa L.). Based on the transcriptional data of seven time points, the weighted correlation network analysis (WGCNA) method was used to construct a co-expression network of differentially expressed genes (DEGs) between the rice genotypes IR64 (tolerant to heat stress) and Koshihikari (susceptible to heat stress). There were four modules in both genotypes that were highly correlated with the time points after heat stress in the seedling. We further identified candidate hub genes through clustering and analysis of protein interaction network with known-core genes. The results showed that the ribosome and protein processing in the endoplasmic reticulum were the common pathways in response to heat stress between the two genotypes. The changes of starch and sucrose metabolism and the biosynthesis of secondary metabolites pathways are possible reasons for the sensitivity to heat stress for Koshihikari. Our findings provide an important reference for the understanding of high temperature response mechanisms and the cultivation of high temperature resistant materials.
Indexed as
Identifiers
What OpenQuestion holds
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.