Wang Zhiling,Yuan Yixin,Dong Rui,Zeng Ruihong,Zhao Xin,Xu Yanjie,Gao Junping,Hong Bo,Gu Zhaoyu
Floral fragrance is essential for the attraction of pollinators and responses to biotic and abiotic stresses. It also enhances the quality and economic value of plants. Phytohormones, acting as key signaling molecules, are crucial roles in regulating plant growth and development. However, the molecular mechanisms underlying the biosynthesis of fragrance-related volatiles and their crosstalk with other endogenous signals within plants remain largely unknown. Here, we identified a sesquiterpene synthase gene, CmEβFS , in chrysanthemum, which encodes a catalytic enzyme responsible for synthesizing the key fragrance-related compound ( E )-β-farnesene. We demonstrated that CmEβFS is negatively regulated by CmWRKY1, thereby inhibiting ( E )-β-farnesene biosynthesis. Furthermore, CmWRKY1 interacts with the salicylic acid (SA) receptor CmNPR3 to regulate SA-mediated CmEβFS transcription. Our findings reveal that SA regulates ( E )-β-farnesene biosynthesis by controlling CmEβFS expression via the CmWRKY1-CmNPR3 module during floral development. These findings enhanced our understanding of the mechanisms underlying SA-mediated regulation of volatile organic compounds (VOCs) biosynthesis and provided insights into improving floral fragrance.
Background: Gastric cancer (GC) poses a global health challenge due to its widespread prevalence and unfavorable prognosis. Although immunotherapy has shown promise in clinical settings, its efficacy remains limited to a minority of GC patients. Manganese, recognized for its role in the body’s anti-tumor immune response, has the potential to enhance the effectiveness of tumor treatment when combined with immune checkpoint inhibitors.Methods: Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases was utilized to obtain transcriptome information and clinical data for GC. Unsupervised clustering was employed to stratify samples into distinct subtypes. Manganese metabolism- and immune-related genes (MIRGs) were identified in GC by univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression analysis. We conducted gene set variation analysis, and assessed the immune landscape, drug sensitivity, immunotherapy efficacy, and somatic mutations. The underlying role of NPR3 in GC was further analyzed in the single-cell RNA sequencing data and cellular experiments.Results: GC patients were classified into four subtypes characterized by significantly different prognoses and tumor microenvironments. Thirteen genes were identified and established as MIRGs, demonstrating exceptional predictive effectiveness in GC patients. Distinct enrichment patterns of molecular functions and pathways were observed among various risk subgroups. Immune infiltration analysis revealed a significantly greater abundance of macrophages and monocytes in the high-risk group. Drug sensitivity analysis identified effective drugs for patients, while patients in the low-risk group could potentially benefit from immunotherapy. NPR3 expression was significantly downregulated in GC tissues. Single-cell RNA sequencing analysis indicated that the expression of NPR3 was distributed in endothelial cells. Cellular experiments demonstrated that NPR3 facilitated the proliferation of GC cells.Conclusion: This is the first study to utilize manganese metabolism- and immune-related genes to identify the prognostic MIRGs for GC. The MIRGs not only reliably predicted the clinical outcome of GC patients but also hold the potential to guide future immunotherapy interventions for these patients.
危险品化学品经营许可证（带存储）