ArticleTransgenic research2022
An Agrobacterium strain auxotrophic for methionine is useful for switchgrass transformation.
Article in Transgenic research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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.
Who cites it
15 citing papers in PubMed, 18 citations in OpenAlex.
- Establishment of an efficient and reliable Agrobacterium-mediated genetic transformation system for the elite male-sterile poplar 'Siyang-1'.BMC plant biology · 2026Article
- A new use of Agrobacterium plant growth regulator genes for plant bioengineering.Frontiers in plant science · 2026Article
- Knockout of the Agrobacterium ILVC gene generates a valine-isoleucine auxotrophic strain for plant transformation.Transgenic research · 2025Article
- Effective Use of Novel AuxotrophicPlants (Basel, Switzerland) · 2025Article
- RNAi and genome editing of sugarcane: Progress and prospects.The Plant journal : for cell and molecular biology · 2025Review
- Single component CRISPR-mediated base-editors forBiodesign research · 2025Article
- Engineering Agrobacterium for improved plant transformation.The Plant journal : for cell and molecular biology · 2025Review
- Lupins in the genome editing era: advances in plant cell culture, double haploid technology and genetic transformation for crop improvement.Frontiers in plant science · 2025Review
- IMAGE: INTEGRATE-MediatedFrontiers in microbiology · 2025Article
- Soybean genomics research community strategic plan: A vision for 2024-2028.The plant genome · 2024Article
- Efficient Regeneration of Transgenic Rice from Embryogenic Callus viaPlants (Basel, Switzerland) · 2024Article
- Engineering Crassulacean Acid Metabolism in CCold Spring Harbor perspectives in biology · 2024Review
- EnhancingFrontiers in plant science · 2024Article
- Advances in genomics and genome editing for improving strawberry (Frontiers in genetics · 2024Review
- Reasons and riddance of Agrobacterium tumefaciens overgrowth in plant transformation.Transgenic research · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Auxotrophic strains of Agrobacterium tumefaciens can contribute to the development of more efficient transformation systems, especially for crops historically considered recalcitrant. Homologous recombination was used to derive methionine auxotrophs of two common A. tumefaciens strains, LBA4404 and EHA105. The EHA105 strains were more efficient for switchgrass transformation, while both the EHA105 and LBA4404 strains worked equally well for the rice control. Event quality, as measured by transgene copy number, was not affected by auxotrophy, but was higher for the LBA4404 strains than the EHA105 strains. Ultimately, the use of auxotrophs reduced bacterial overgrowth during co-cultivation and decreased the need for antibiotics.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.