JOURNAL ARTICLE
Engineered Agrobacterium improves transformation by mitigating plant immunity detection.
Published In: New Phytologist, 2023, v. 237, n. 6. P. 2493 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Yang, Fan; Li, Guangyong; Felix, Georg; Albert, Markus; Guo, Ming 3 of 3
Abstract
Summary: Agrobacterium tumefaciens microbe‐associated molecular pattern elongation factor Tu (EF‐Tu) is perceived by orthologs of the Arabidopsis immune receptor EFR activating pattern‐triggered immunity (PTI) that causes reduced T‐DNA‐mediated transient expression. We altered EF‐Tu in A. tumefaciens to reduce PTI and improved transformation efficiency.A robust computational pipeline was established to detect EF‐Tu protein variation in a large set of plant bacterial species and identified EF‐Tu variants from bacterial pathogen Pseudomonas syringae pv. tomato DC3000 that allow the pathogen to escape EFR perception. Agrobacterium tumefaciens strains were engineered to substitute EF‐Tu with DC3000 variants and examined their transformation efficiency in plants.Elongation factor Tu variants with rarely occurred amino acid residues were identified within DC3000 EF‐Tu that mitigates recognition by EFR. Agrobacterium tumefaciens strains were engineered by expressing DC3000 EF‐Tu instead of native agrobacterial EF‐Tu and resulted in decreased plant immunity detection.These engineered A. tumefaciens strains displayed an increased efficiency in transient expression in both Arabidopsis thaliana and Camelina sativa. The results support the potential application of these strains as improved vehicles to introduce transgenic alleles into members of the Brassicaceae family. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:New Phytologist. 2023/03, Vol. 237, Issue 6, p2493
- Document Type:Article
- Subject Area:Botany
- Publication Date:2023
- ISSN:0028-646X
- DOI:10.1111/nph.18694
- Accession Number:161968153
- Copyright Statement:Copyright of New Phytologist is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.