The R1-MYB Transcription Factor CmREVEILLE2 Activates Chlorophyll Biosynthesis to Mediate Light-Induced Greening in Chrysanthemum Flowers
Abstract
Background: Chrysanthemum (Chrysanthemum morifolium) is a leading ornamental crop worldwide, prized for its diverse flower colors. Green-flowered varieties are rare and highly valued, yet the molecular mechanisms governing their unique coloration, particularly in response to light, are not well understood. Chlorophyll accumulation in petals is the basis for this green phenotype, but the specific transcription factors that mediate light-induced chlorophyll biosynthesis in chrysanthemum flowers remain to be fully elucidated.
Results: In this study, we investigated the molecular basis of greening in chrysanthemum ray florets. Transcriptomic analysis of light-exposed versus dark-treated florets identified a candidate R1-type MYB transcription factor, designated CmREVEILLE2, whose expression was strongly correlated with light-induced chlorophyll accumulation. CmREVEILLE2 was confirmed to be a nuclear-localized protein, and its expression was rapidly and significantly induced by light. Functional characterization using virus-induced gene silencing (VIGS) indicated that downregulating CmREVEILLE2 resulted in a significant reduction in chlorophyll content and a visually attenuated green phenotype in the ray florets. Mechanistically, yeast one-hybrid (Y1H) and dual-luciferase (DLR) reporter assays revealed that CmREVEILLE2 appears to directly bind to the promoters of key chlorophyll biosynthesis genes, including CmHEMA1 and CmPOR, to activate their transcription.
Conclusion: Our findings suggest that CmREVEILLE2 functions as a critical positive regulator in the light signaling pathway associated with green color formation in chrysanthemum flowers. It appears to act by directly promoting the expression of essential chlorophyll biosynthesis genes, thus driving chlorophyll accumulation. This study provides a novel understanding of flower color regulation and identifies CmREVEILLE2 as a key target for the future molecular breeding of green-flowered chrysanthemum cultivars.
Keywords
References
How to Cite
Most read articles by the same author(s)
- Dr. Miguel Alvarez, Artificial Intelligence-Driven Transformation of Fleet Management and Sustainable Transportation: Integrated Strategies, Theoretical Foundations, and Practical Implications , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Abimbola Bassey, ASSESSING THE TEMPERATURE-VISCOSITY RELATIONSHIP IN LOCALLY SOURCED VEGETABLE OILS , Global Multidisciplinary Journal: Vol. 3 No. 11 (2024): Volume 03 Issue 11
- Rahul S. Menon, Converging High-Speed Ethernet Technologies for Automotive and Data-Center Domains: Performance, Modulation, and Electromagnetic Considerations for 10 Gb/s Links , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Elena M. Duarte, The R1-MYB Transcription Factor CmREVEILLE2 Activates Chlorophyll Biosynthesis to Mediate Light-Induced Greening in Chrysanthemum Flowers , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Dr. Lukas M. Verhoeven, Integrating Artificial Intelligence and Advanced Data Processing for Real-Time Credit Scoring: Theoretical Foundations, Methodological Innovations, and Implications for Contemporary Credit Risk Management , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Dr. Amrita K. Desai, Secure, Cost-Optimal, and Integrity-Preserving Data Migration: A Unified Framework for Moving Enterprise Workloads from Proprietary to Open-Source Cloud Databases , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Dr. Gennarik L. Mortenkov, Synergizing Business Intelligence and Artificial Intelligence for Competitive Advantage: A Multi-Dimensional Analysis of Organizational Resilience and Decision-Making Frameworks , Global Multidisciplinary Journal: Vol. 4 No. 09 (2025): Volume 04 Issue 09
- Dr. Arjun Mehta, Artificial Intelligence–Driven Hierarchical Supply Chain Planning: Toward a Unified Framework for Visibility, Demand Forecasting, and Sustainable Optimization , Global Multidisciplinary Journal: Vol. 4 No. 05 (2025): Volume 04 Issue 05
- Dr. Elena Martínez, Integrating Agility, Digital Intelligence, and Sustainable Urban Logistics: A Comprehensive Framework for Resilient Modern Supply Chains , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Elias Van der Meer, Strategic Cybersecurity Governance And Risk-Based Policy Integration In Contemporary Organizations , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
Similar Articles
- Johnathan Meyer, Optimizing Zero-Downtime Microservices Migrations: Advanced Strategies for Cloud-Based Database Architectures , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
- Prof. Dr. Stefan Lessmann, Hyper-Personalization, Analytics, and Artificial Intelligence in FinTech Ecosystems: Theoretical Foundations, Methodological Evolutions, and Socio-Technical Implications , Global Multidisciplinary Journal: Vol. 4 No. 12 (2025): Volume 04 Issue 12
- Dr. Elena M. Duarte, The R1-MYB Transcription Factor CmREVEILLE2 Activates Chlorophyll Biosynthesis to Mediate Light-Induced Greening in Chrysanthemum Flowers , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
You may also start an advanced similarity search for this article.