ArticleFrontiers in plant science2023
Transcriptome and coexpression network analysis reveals properties and candidate genes associated with grape (
Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 12 citations in OpenAlex.
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- Integrated transcriptomic, metabolomic and lipidomic analyses uncover the crucial roles of lipid metabolism pathways in oat (Avena sativa) responses to heat stress.BMC genomics · 2025Article
- Genome-wide identification of VOZ gene family in ten cotton species and the function analysis of GhVOZ2 involved in heat stress response.BMC genomics · 2025Article
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- High-Quality Genome Assembly and Transcriptome ofPlants (Basel, Switzerland) · 2025Article
- RNA-Seq Analysis and Candidate Gene Mining ofPlants (Basel, Switzerland) · 2024Article
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- The Transcriptional Landscape of Berry Skin in Red and White PIWI ("Pilzwiderstandsfähig") Grapevines Possessing QTLs for Partial Resistance to Downy and Powdery Mildews.Plants (Basel, Switzerland) · 2024Article
- Response of young rice panicles to salt stress: insights based on phenotype and transcriptome analysis.Frontiers in plant science · 2024Article
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Temperature is one of the most important environmental factors affecting grape season growth and geographical distribution. With global warming and the increasing occurrence of extreme high-temperature weather, the impact of high temperatures on grape production has intensified. Therefore, identifying the molecular regulatory networks and key genes involved in grape heat tolerance is crucial for improving the resistance of grapes and promoting sustainable development in grape production. In this study, we observed the phenotypes and cellular structures of four grape varieties, namely, Thompson Seedless (TS), Brilliant Seedless (BS), Jumeigui (JMG), and Shine Muscat (SM), in the naturally high-temperature environment of Turpan. Heat tolerance evaluations were conducted. RNA-seq was performed on 36 samples of the four varieties under three temperature conditions (28°C, 35°C, and 42°C). Through differential expression analysis revealed the fewest differentially expressed genes (DEGs) between the heat-tolerant materials BS and JMG, and the DEGs common to 1890 were identified among the four varieties. The number of differentially expressed genes within the materials was similar, with a total of 3767 common DEGs identified among the four varieties. KEGG enrichment analysis revealed that fatty acid metabolism, starch and sucrose metabolism, plant hormone signal transduction, the MAPK signaling pathway, and plant-pathogen interactions were enriched in both between different temperatures of the same material, and between different materials of the same temperature. We also conducted statistical and expression pattern analyses of differentially expressed transcription factors. Based on Weighted correlation network analysis (WGCNA), four specific modules highly correlated with grape heat tolerance were identified by constructing coexpression networks. By calculating the connectivity of genes within the modules and expression analysis, six candidate genes (
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