Plant Transformation and Genome Editing for Precise Synthetic Biology Applications
Synthetic biology (SynBio) is an emerging interdisciplinary field that applies engineering principles to the design and construction of novel biological systems or the redesign of existing natural systems for new functions. As autotrophs with complex cellular architectures, plants possess inherent capabilities to serve as “living factories” for SynBio applications. Recent advancements in genetic engineering, genome editing, and transformation techniques are improving the precision and programmability of plant systems. Innovations, such as CRISPR systems, prime editing strategies, and in planta and nanoparticle-mediated delivery, are expanding the SynBio toolkit for plants. However, the efficient delivery of genetic constructs remains a barrier due to plant systems’ complexity. To address these limitations, SynBio is increasingly integrating iterative Design–Build–Test–Learn (DBTL) cycles, standardization, modular DNA assembly systems, and plant-optimized toolkits to enable predictable trait engineering. This review explores the technological foundations of plant SynBio, including genome editing and transformation methods, and examines their integration into engineered systems. Applications, such as biofuel production, pharmaceutical biosynthesis, and agricultural innovation, are highlighted, along with their ethical, technical, and regulatory challenges. Ultimately, SynBio could offer a transformative path toward sustainable solutions, provided it continues to align technological advances with public interest and global sustainability goals.
Authors
- Pankaj Verma (ORCID: https://orcid.org/0000-0002-7254-6147)
- Madhusudhana R. Janga (ORCID: https://orcid.org/0000-0002-3743-6006)
- Sharathchandra Kambampati
Institutions
- Texas Tech University (US)
Publication Details
- Journal
- SynBio
- Published
- 2025-06-27
- DOI
- https://doi.org/10.3390/synbio3030009
- Citations
- 1
- Primary Topic
- CRISPR and Genetic Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Texas Tech University