ArticleBiology2025
Identification of Self-Incompatibility Related Genes in Sweet Cherry Based on Transcriptomic Analysis.
Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Dynamic flavor profiles in sweet cherry during cold storage: integrated multi‑omics and volatile profiling reveals regulatory networks underlying flavor deterioration.NPJ science of food · 2026Article
- Comparative Transcriptomic Analysis Reveals Key Pathways and Genes Involved in Late-Acting Self-Incompatibility inCurrent issues in molecular biology · 2026Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Most sweet cherry varieties exhibit typical gametophytic self-incompatibility (GSI) characteristics, necessitating careful configuration of pollination trees to ensure adequate yields. This requirement increases the costs associated with orchard labor, management, and other related expenses. Consequently, cultivating and developing sweet cherry cultivars with self-compatibility can effectively address these challenges. Research into the molecular mechanisms underlying GSI formation can provide vital theoretical support and genetic resources for breeding self-compatible sweet cherries. In this study, we assessed the fruit set rates of 'Tieton' following both self- and cross-pollination. Additionally, we conducted a transcriptome analysis of the 'Tieton' style (which includes the stigma) at 0, 12, 24, and 48 h post-pollination to identify key genes involved in the self-incompatibility process of sweet cherries. The results indicated that the self-fruiting rate of 'Tieton' was significantly lower than that of cross-pollination. We identified a total of 8148 differentially expressed genes (DEGs) through transcriptome analysis, with KEGG pathway analysis revealing that the plant-pathogen interaction, plant hormone signal transduction, and plant MAPK signaling pathways were primarily involved in sweet cherry GSI. Furthermore, we identified 13 core transcription factors (TFs) based on their differential expression patterns, including three ERFs, three NACs, three WRKYs, two HD-ZIPs, one RAV, and one MYB. Co-expression analysis identified 132 core DEGs significantly associated with these TFs. Ultimately, this study provides initial insights into the key genes within the sweet cherry GSI network, laying a theoretical foundation and offering genetic resources for the future molecular design breeding of new self-compatible varieties.
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