Programmable Plant Immunity: Synthetic Biology for Climate-Resilient Agriculture
Agricultural systems face mounting pressures from climate change, as rising temperatures, elevated CO2, and shifting precipitation patterns intensify plant disease outbreaks worldwide. Conventional strategies, such as breeding for resistance, pesticides, and even transgenic approaches, are proving too slow or unsustainable to meet these challenges. Synthetic biology offers a transformative paradigm for reprogramming plant immunity through genetic circuits, RNA-based defences, epigenome engineering, engineered microbiomes, and artificial intelligence (AI). We introduce the concept of synthetic immunity, a unifying framework that extends natural defence layers, PAMP-triggered immunity (PTI), and effector-triggered immunity (ETI). While pests and pathogens continue to undermine global crop productivity, synthetic immunity strategies such as CRISPR-based transcriptional activation, synthetic receptors, and RNA circuit-driven defences offer promising new avenues for enhancing plant resilience. We formalize synthetic immunity as an emerging, integrative concept that unites molecular engineering, regulatory rewiring, epigenetic programming, and microbiome modulation, with AI and computational modelling accelerating their design and climate-smart deployment. This review maps the landscape of synthetic immunity, highlights technological synergies, and outlines a translational roadmap from laboratory design to field application. Responsibly advanced, synthetic immunity represents not only a scientific frontier but also a sustainable foundation for climate-resilient agriculture.
Authors
- Harshraj Shinde (ORCID: https://orcid.org/0000-0001-5062-1575)
- Kiran Ramesh Pawar
- Sachin Ashok Bhor (ORCID: https://orcid.org/0000-0003-1729-997X)
- Sopan Ganpatrao Wagh (ORCID: https://orcid.org/0000-0001-5300-9656)
- Ghanshyam Patil
- Akshay Milind Patil
Institutions
- Gauhati University (IN)
- Anand Agricultural University (IN)
- Czech Academy of Sciences, Global Change Research Institute (CZ)
- University of Kansas Medical Center (US)
- Ehime University (JP)
Publication Details
- Journal
- SynBio
- Published
- 2026-01-04
- DOI
- https://doi.org/10.3390/synbio4010001
- Primary Topic
- CRISPR and Genetic Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00