Binary vector copy number engineering improves Agrobacterium-mediated transformation

The copy number of a plasmid is linked to its functionality, yet there have been few attempts to optimize higher-copy-number mutants for use across diverse origins of replication in different hosts. We use a high-throughput growth-coupled selection assay and a directed evolution approach to rapidly identify origin of replication mutations that influence copy number and screen for mutants that improve Agrobacterium-mediated transformation (AMT) efficiency. By introducing these mutations into binary vectors within the plasmid backbone used for AMT, we observe improved transient transformation of Nicotiana benthamiana in four diverse tested origins (pVS1, RK2, pSa and BBR1). For the best-performing origin, pVS1, we isolate higher-copy-number variants that increase stable transformation efficiencies by 60-100% in Arabidopsis thaliana and 390% in the oleaginous yeast Rhodosporidium toruloides. Our work provides an easily deployable framework to generate plasmid copy number variants that will enable greater precision in prokaryotic genetic engineering, in addition to improving AMT efficiency.

Authors

Institutions

Publication Details

Journal
Nature Biotechnology
Published
2024-11-04
DOI
https://doi.org/10.1038/s41587-024-02462-2
Citations
32
Primary Topic
Plant tissue culture and regeneration
Type
article
Field-Weighted Citation Impact
7.48

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Binary vector copy number engineering improves Agrobacterium-mediated transformation

Jay D. Keasling, Joshua McCauley, Lucas Waldburger, Jacob O. Brunkard et al.
32 citations
Nature Biotechnology
Plant tissue culture and regeneration
7.48
article

Binary vector copy number engineering improves Agrobacterium-mediated transformation

Jay D. Keasling, Joshua McCauley, Lucas Waldburger, Jacob O. Brunkard, Alexander J. Kehl, Rita Kuo, Liam D. Kirkpatrick, John M. Gladden, Nathan J. Hillson, Claudine Tahmin, Patrick M. Shih, Matthew J. Szarzanowicz, Michael Busche, Gina M. Geiselman, Shuying Liu, Mitchell G. Thompson, H. Pannu, Ruoming Cui
article en
32 citations

Abstract

The copy number of a plasmid is linked to its functionality, yet there have been few attempts to optimize higher-copy-number mutants for use across diverse origins of replication in different hosts. We use a high-throughput growth-coupled selection assay and a directed evolution approach to rapidly identify origin of replication mutations that influence copy number and screen for mutants that improve Agrobacterium-mediated transformation (AMT) efficiency. By introducing these mutations into binary vectors within the plasmid backbone used for AMT, we observe improved transient transformation of Nicotiana benthamiana in four diverse tested origins (pVS1, RK2, pSa and BBR1). For the best-performing origin, pVS1, we isolate higher-copy-number variants that increase stable transformation efficiencies by 60-100% in Arabidopsis thaliana and 390% in the oleaginous yeast Rhodosporidium toruloides. Our work provides an easily deployable framework to generate plasmid copy number variants that will enable greater precision in prokaryotic genetic engineering, in addition to improving AMT efficiency.

Nature BiotechnologyVol. 43(10)
University of Wisconsin–Madison (US), Lawrence Berkeley National Laboratory (US), Sandia National Laboratories California (US), Innovative Genomics Institute (US), Danish Academy of Technical Sciences (DK), Joint BioEnergy Institute (US), University of California, Davis (US), University of California, Berkeley (US), Technical University of Denmark (DK)
National Science Foundation, U.S. Department of Energy, U.S. Department of Agriculture, Life Sciences Research Foundation, National Institutes of Health, National Institute of Food and Agriculture, Office of Science, Biological and Environmental Research, Lawrence Berkeley National Laboratory
Openalex Percentile: Top 2%
Plant tissue culture and regeneration
7.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.