Identification of a Putative DNA-Binding Protein in Arabidopsis That Acts as a Susceptibility Hub and Interacts With Multiple Pseudomonas syringae Effectors.
Karl J SchreiberJennifer D LewisPublished in: Molecular plant-microbe interactions : MPMI (2021)
Phytopathogens use secreted effector proteins to suppress host immunity and promote pathogen virulence, and there is increasing evidence that the host-pathogen interactome comprises a complex network. To identify novel interactors of the Pseudomonas syringae effector HopZ1a, we performed a yeast two-hybrid screen that identified a previously uncharacterized Arabidopsis protein that we designate HopZ1a interactor 1 (ZIN1). Additional analyses in yeast and in planta revealed that ZIN1 also interacts with several other P. syringae effectors. We show that an Arabidopsis loss-of-function zin1 mutant is less susceptible to infection by certain strains of P. syringae, while overexpression of ZIN1 results in enhanced susceptibility. Functionally, ZIN1 exhibits topoisomerase-like activity in vitro. Transcriptional profiling of wild-type and zin1 Arabidopsis plants inoculated with P. syringae indicated that while ZIN1 regulates a wide range of pathogen-responsive biological processes, the list of genes more highly expressed in zin1 versus wild-type plants is particularly enriched for ribosomal protein genes. Altogether, these data illuminate ZIN1 as a potential susceptibility hub that interacts with multiple effectors to influence the outcome of plant-microbe interactions.[Formula: see text] Copyright © 2021 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license.
Keyphrases
- wild type
- binding protein
- transcription factor
- bioinformatics analysis
- cell wall
- plant growth
- type iii
- genome wide identification
- biofilm formation
- candida albicans
- escherichia coli
- regulatory t cells
- genome wide
- single cell
- dendritic cells
- network analysis
- pseudomonas aeruginosa
- saccharomyces cerevisiae
- protein protein
- circulating tumor
- electronic health record
- cell free
- cell proliferation
- risk assessment
- staphylococcus aureus
- smoking cessation
- neural network
- dna methylation
- deep learning
- small molecule
- heat shock protein