Evidence map›Paper›PMID 25558819›Full record

ArticlePlant cell reports2015

Effect of Agrobacterium strain and plasmid copy number on transformation frequency, event quality and usable event quality in an elite maize cultivar.

Li Zhi, Susan TeRonde, Sandra Meyer, Maren L Arling, James C Register, Zuo-Yu Zhao, Todd J Jones, Ajith Anand

Abstract read
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Article in Plant cell reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Binary vector origin predictably determinesbioRxiv : the preprint server for biology · 2025
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  16. Biodesign research · 2020
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  18. Review
  19. Co-culturing on dry filter paper significantly increased the efficiency ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2019
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Li ZhiDuPont Agricultural Biotechnology, DuPont-Pioneer, 8305 NW 62nd Avenue, P. O. Box 7060, Johnston, IA, 50131, USA.
Susan TeRonde
Sandra Meyer
Maren L Arling
James C Register
Zuo-Yu Zhao
Todd J Jones
Ajith Anand

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageImproving Agrobacterium -mediated transformation frequency and event quality by increasing binary plasmid copy number and appropriate strain selection is reported in an elite maize cultivar. Agrobacterium-mediated maize transformation is a well-established method for gene testing and for introducing useful traits in a commercial biotech product pipeline. To develop a highly efficient maize transformation system, we investigated the effect of two Agrobacterium tumefaciens strains and three different binary plasmid origins of replication (ORI) on transformation frequency, vector backbone insertion, single copy event frequency (percentage of events which are single copy for all transgenes), quality event frequency (percentage of single copy events with no vector backbone insertions among all events generated; QE) and usable event quality frequency (transformation frequency times QE frequency; UE) in an elite maize cultivar PHR03. Agrobacterium strain AGL0 gave a higher transformation frequency, but a reduced QE frequency than LBA4404 due to a higher number of vector backbone insertions. Higher binary plasmid copy number positively correlated with transformation frequency and usable event recovery. The above findings can be exploited to develop high-throughput transformation protocols, improve the quality of transgenic events in maize and other plants.

Indexed as

Transformation, GeneticAgrobacterium tumefaciensDNA, BacterialDNA Copy Number VariationsGenetic VectorsPlants, Genetically ModifiedPlasmidsReplication OriginSpecies SpecificityTransgenesZea maysDNA, Bacterial

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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.