Evidence map›Paper›PMID 39496930›Full record

ArticleNature biotechnology2025

Binary vector copy number engineering improves Agrobacterium-mediated transformation.

Matthew J Szarzanowicz, Lucas M Waldburger, Michael Busche, Gina M Geiselman, Liam D Kirkpatrick, Alexander J Kehl, Claudine Tahmin, Rita C Kuo, Joshua McCauley, Hamreet Pannu and 8 more

Erratum issuedAbstract read
In one paragraph

Article in Nature biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Binary vector origin predictably determinesbioRxiv : the preprint server for biology · 2025
    Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Matthew J SzarzanowiczJoint BioEnergy Institute, Emeryville, CA, USA.ORCID http://orcid.org/0009-0003-4398-5196
Lucas M WaldburgerJoint BioEnergy Institute, Emeryville, CA, USA.
Michael BuscheLaboratory of Genetics, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0001-8845-3300
Gina M GeiselmanSandia National Laboratories, Livermore, CA, USA.
Liam D KirkpatrickJoint BioEnergy Institute, Emeryville, CA, USA.ORCID http://orcid.org/0000-0002-2744-9102
Alexander J KehlDepartment of Chemistry, University of California, Davis, Davis, CA, USA.
Claudine TahminDepartment of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA, USA.
Rita C KuoJoint BioEnergy Institute, Emeryville, CA, USA.
Joshua McCauleyJoint BioEnergy Institute, Emeryville, CA, USA.ORCID http://orcid.org/0000-0002-3766-560X
Hamreet PannuJoint BioEnergy Institute, Emeryville, CA, USA.
Ruoming CuiJoint BioEnergy Institute, Emeryville, CA, USA.
Shuying LiuJoint BioEnergy Institute, Emeryville, CA, USA.
Nathan J HillsonJoint BioEnergy Institute, Emeryville, CA, USA.ORCID http://orcid.org/0000-0002-9169-3978
Jacob O BrunkardLaboratory of Genetics, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0001-6407-9393
Jay D KeaslingJoint BioEnergy Institute, Emeryville, CA, USA.ORCID http://orcid.org/0000-0003-4170-6088
John M GladdenJoint BioEnergy Institute, Emeryville, CA, USA.
Mitchell G ThompsonJoint BioEnergy Institute, Emeryville, CA, USA. mthompson@lbl.gov.ORCID http://orcid.org/0000-0002-1490-8074
Patrick M ShihJoint BioEnergy Institute, Emeryville, CA, USA. pmshih@berkeley.edu.ORCID http://orcid.org/0000-0002-2119-3345

Funding

A tRNA synthetase is an amino acid sensor for TOR in plantsR01GM145814 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Jacob O Brunkard · 2022 to 2026
$1.8M
NIGMS NIH HHS R01 GM145814U.S. Department of Energy (DOE) DE-AC02-05CH11231
6 · The paper itself

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.

Indexed as

Agrobacterium tumefaciensDNA Copy Number VariationsGenetic EngineeringGenetic VectorsTransformation, GeneticArabidopsisDNA HelicasesNicotianaPlasmidsRhodotorulaTrans-ActivatorsDNA HelicasesTrans-Activators

Identifiers

PMID39496930
PMCPMC12147919

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.