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Binary vector origin predictably determines Agrobacterium-mediated transformation outcome across eukaryotic kingdoms.
Matthew J Szarzanowicz1,2,3, Michael Busche4, Ziyu Dai1,5
1Joint BioEnergy Institute, 5885 Hollis Street, Emeryville, CA 94608, USA.
Biorxiv : the Preprint Server for Biology
|December 3, 2025
Summary
The origin of replication family in binary vectors, not plasmid copy number, controls Agrobacterium-mediated transformation outcomes. This finding enables optimized genetic engineering in plants and fungi.
Area of Science:
- Plant science
- Mycology
- Molecular biology
- Genetic engineering
Background:
- Agrobacterium-mediated transformation (AMT) is crucial for genetic engineering in plants and fungi.
- Key transformation outcomes like efficiency, transgene insertion number, and integrity are poorly understood.
- Current AMT methods lack optimization for industrial and academic applications.
Purpose of the Study:
- To systematically analyze how binary vectors impact AMT outcomes.
- To investigate the roles of plasmid origin of replication (ORI) families and copy number variants.
- To compare transformation results across plant and fungal species.
Main Methods:
- Comparative analysis of different plasmid origin of replication (ORI) families.
- Engineering and testing of plasmid copy number variants.
- Systematic evaluation of transformation efficiency, transgene insertion number, and integrity.
- Cross-kingdom comparison of ORI-dependent outcomes in yeast and *Arabidopsis*.
Main Results:
- The ORI family, not plasmid copy number, dictates T-DNA insertion number, backbone inclusion, and transformation efficiency.
- pVS1 ORI-based vectors yield more insertions and higher transgene silencing than pSa ORI vectors.
- pSa ORI vectors promote uniform single insertion events.
- ORI-dependent transformation outcomes in yeast correlate with those in *Arabidopsis*.
Conclusions:
- Origin of replication family is a critical determinant of AMT outcomes.
- Vector design choices significantly influence transgene integration and expression.
- Findings provide a basis for developing optimized binary vectors for predictable transformation across eukaryotes.
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