Agrobacterium strains and strain improvement: Present and outlook Article Swipe
Jonas De Saeger
,
Jihae Park
,
Hoo Sun Chung
,
Jean-Pierre Hernálsteens
,
Mieke Van Lijsebettens
,
Dirk Inzé
,
Marc Van Montagu
,
Stephen Depuydt
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.biotechadv.2020.107677
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.biotechadv.2020.107677
Almost 40 years ago the first transgenic plant was generated through Agrobacterium tumefaciens-mediated transformation, which, until now, remains the method of choice for gene delivery into plants. Ever since, optimized Agrobacterium strains have been developed with additional (genetic) modifications that were mostly aimed at enhancing the transformation efficiency, although an optimized strain also exists that reduces unwanted plasmid recombination. As a result, a collection of very useful strains has been created to transform a wide variety of plant species, but has also led to a confusing Agrobacterium strain nomenclature. The latter is often misleading for choosing the best-suited strain for one's transformation purposes. To overcome this issue, we provide a complete overview of the strain classification. We also indicate different strain modifications and their purposes, as well as the obtained results with regard to the transformation process sensu largo. Furthermore, we propose additional improvements of the Agrobacterium-mediated transformation process and consider several worthwhile modifications, for instance, by circumventing a defense response in planta. In this regard, we will discuss pattern-triggered immunity, pathogen-associated molecular pattern detection, hormone homeostasis and signaling, and reactive oxygen species in relationship to Agrobacterium transformation. We will also explore alterations that increase agrobacterial transformation efficiency, reduce plasmid recombination, and improve biocontainment. Finally, we recommend the use of a modular system to best utilize the available knowledge for successful plant transformation.
Related Topics
Concepts
Agrobacterium
Transformation (genetics)
Biology
Plasmid
Agrobacterium tumefaciens
Strain (injury)
Computational biology
Transformation efficiency
Transgene
Genetics
Biotechnology
Gene
Anatomy
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.biotechadv.2020.107677
- https://www.sciencedirect.com/science/article/pii/S0734975020301798
- OA Status
- hybrid
- Cited By
- 82
- References
- 348
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3111726103
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3111726103Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.biotechadv.2020.107677Digital Object Identifier
- Title
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Agrobacterium strains and strain improvement: Present and outlookWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-12-05Full publication date if available
- Authors
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Jonas De Saeger, Jihae Park, Hoo Sun Chung, Jean-Pierre Hernálsteens, Mieke Van Lijsebettens, Dirk Inzé, Marc Van Montagu, Stephen DepuydtList of authors in order
- Landing page
-
https://doi.org/10.1016/j.biotechadv.2020.107677Publisher landing page
- PDF URL
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https://www.sciencedirect.com/science/article/pii/S0734975020301798Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://www.sciencedirect.com/science/article/pii/S0734975020301798Direct OA link when available
- Concepts
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Agrobacterium, Transformation (genetics), Biology, Plasmid, Agrobacterium tumefaciens, Strain (injury), Computational biology, Transformation efficiency, Transgene, Genetics, Biotechnology, Gene, AnatomyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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82Total citation count in OpenAlex
- Citations by year (recent)
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2025: 24, 2024: 29, 2023: 14, 2022: 9, 2021: 5Per-year citation counts (last 5 years)
- References (count)
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348Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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