Effector translocation and rational design of disease resistance

Gan Sha; Guotian Li

doi:10.1016/j.tim.2023.09.007

Effector translocation and rational design of disease resistance

Trends Microbiol. 2023 Dec;31(12):1202-1205. doi: 10.1016/j.tim.2023.09.007. Epub 2023 Sep 29.

Authors

Gan Sha¹, Guotian Li²

Affiliations

¹ National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China.
² National Key Laboratory of Agricultural Microbiology, Hubei Hongshan Laboratory, Hubei Key Laboratory of Plant Pathology, The Center of Crop Nanobiotechnology, Huazhong Agricultural University, Wuhan, 430070, China. Electronic address: li4@mail.hzau.edu.cn.

PMID: 37778925
DOI: 10.1016/j.tim.2023.09.007

Abstract

The effector repertoire of a pathogen is dynamically evolving. However, the effector translocation mechanism, partly elucidated recently, may be conserved. By targeting the effector translocation machinery, rather than the individual evolving effector, rational design of durable and broad-spectrum disease resistance can be achieved, facilitated by genome-editing and artificial intelligence-enabling technologies.

Keywords: artificial intelligence; disease resistance; effector translocation; filamentous pathogens; genome editing; protein design.

MeSH terms

Artificial Intelligence*
Disease Resistance*
Gene Editing
Humans
Plant Diseases