ArticleFrontiers in plant science2022
Gene coexpression analysis reveals key pathways and hub genes related to late-acting self-incompatibility in
Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Enhancing bioaccessibility of camellia seed oil through whey protein isolate-quercetin complex stabilized emulsions.Food chemistry: X · 2026Article
- Ensemble Modeling Reveals Threats to Pollination Services From Asynchronous Range Shifts BetweenEcology and evolution · 2026Article
- De novo assembly of the complete mitochondrial genomes of two Camellia-oil tree species reveals their multibranch conformation and evolutionary relationships.Scientific reports · 2025Article
- Microorganism changes in the gut ofFrontiers in cellular and infection microbiology · 2025Article
- Integrated transcriptome and endogenous hormone analyses reveal the factors affecting the yield of Camellia oleifera.BMC genomics · 2024Article
- Transcriptomic Analysis of Self-Incompatibility in Alfalfa.Plants (Basel, Switzerland) · 2024Article
- Single-cell RNA-seq reveals a link of ovule abortion and sugar transport inFrontiers in plant science · 2024Article
- Chlorate-induced molecular floral transition revealed by transcriptomes.Open life sciences · 2023Article
- Editorial: Woody oil crops: key trait formation and regulation.Frontiers in plant science · 2023Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Self-incompatibility (SI) is an important strategy for plants to maintain abundant variation to enhance their adaptability to the environment. Methods: To better understand the molecular expression and gene coexpression network in the LSI reaction in Results: Based on the 21 ovary transcriptomes, a total of 7669 DEGs were identified after filtering out low-expression genes. Weighted gene coexpression network analysis (WGCNA) divided the DEGs into 15 modules. Genes in the blue module (1163 genes) were positively correlated with FSR, and genes in the pink module (339 genes) were negatively correlated with FSR. KEGG analysis indicated that flavonoid biosynthesis, plant MAPK signaling pathways, ubiquitin-mediated proteolysis, and plant-pathogen interaction were the crucial pathways for the LSI reaction. Fifty four transcription factors (TFs) were obtained in the two key modules, and WRKY and MYB were potentially involved in the LSI reaction in Discussion: Overall, our study provides a meaningful resource for gene network studies of the LSI reaction process and subsequent analyses of pollen-pistil interactions and TF roles in the LSI reaction, and it also provides new insights for exploring the mechanisms of the LSI response.
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