Integrating AI Models With Synthetic Biology for Plant Epigenetic Regulation:

R. V. Suganya VISTAS, India A. Punitha VISTAS, India https://orcid.org/0009-0006-1530-6768 A. V. Senthil Kumar Nehru Institute of Information Technology and Management, India https://orcid.org/0000-0002-8587-7017 Revati Ramrao Ramrao Rautrao Dr. D.Y. Patil B-School, India https://orcid.org/0000-0001-7803-8699 K. R. S. Sambasiva Rao Mangalayatan University, Jabalpur, India https://orcid.org/0000-0002-0061-8754 S. Nagakishore Bhavanam Mangalayatan University, Jabalpur, India https://orcid.org/0000-0003-3798-6945 F. Mary Magdalene Jane Dr. N.G.P. Arts and Science College, India https://orcid.org/0000-0002-5101-8740 Shallu Sehgal Shoolini Institute of Life Sciences and Business Management, India https://orcid.org/0009-0007-1260-5399 G. Vanishree ICFAI Business School, India https://orcid.org/0009-0000-1335-2919 Integrating AI Models With Synthetic Biology for Plant Epigenetic Regulation

The integration of artificial intelligence (AI) models with synthetic biology offers transformative potential for enhancing plant epigenetic regulation. Plant epigenetics, involving modifications such as DNA methylation, histone modifications, and non-coding RNAs, plays a crucial role in regulating gene expression, development, and stress responses.. This chapter explores how AI can optimize the design, prediction, and real-time manipulation of plant epigenetic mechanisms, accelerating advancements in crop improvement. Furthermore, synthetic biology techniques, such as gene editing and the creation of synthetic gene circuits, can be precisely targeted using AI models to improve plant resilience and productivity. The integration of AI with synthetic biology in plant epigenetic regulation holds significant promise for addressing global agricultural challenges, enhancing food security, and fostering sustainable farming practices.
chapter 13 4 24 2026 327 366 10.4018/979-8-2600-1026-6.ch013 20260409050311 https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-2600-1026-6.ch013 https://www.igi-global.com/viewtitle.aspx?TitleId=407941