The Arabidopsis leucine rich repeat receptor-like kinase MIK2 interacts with RKS1 and participates to the control of quantitative disease resistance to the bacterial pathogen Xanthomonas campestris
Delplace, F.; Huard-Chauveau, C.; Roux, F.; Roby, D.
Show abstract
Molecular mechanisms underlying qualitative resistance have been intensively studied. In contrast, although quantitative disease resistance (QDR) is a common, durable and broad-spectrum form of immune responses in plants, only a few related functional analyses have been reported. In this context, the atypical kinase RKS1 is a major actor of QDR to the bacterial pathogen Xanthomonas campestris (Xcc) and is positioned in a robust protein-protein decentralized network. Among the putative interactors of RKS1 found by yeast two hybrid screening, we identified the receptor like kinase MDIS1-Interacting Receptor-like Kinase 2 (MIK2). Here, by multiple and complementary strategies including protein-protein interaction tests, mutant analysis and network reconstruction, we report that MIK2 is a component of RKS1 mediated QDR to Xcc. First, by co-localization experiment, co-immunoprecipitation (Co-IP) and Bimolecular Fluorescence Complementation (BiFC), we validated the physical interaction between RKS1 and MIK2 in the plasma membrane. Using mik2 mutants, we then showed that MIK2 is required for QDR at the same level as RKS1. Interestingly, a catalytic mutant of MIK2 was able to interact with RKS1 but unable to fully complement the mik2-1 mutant in response to Xcc. Finally, we investigated a potential role of the MIK2-RKS1 complex as a scaffolding component for coordination of perception events, by constructing a RKS1-MIK2 centered protein-protein network. Eight mutants corresponding to seven RLKs of this network showed a strong and significant alteration in QDR to Xcc. Our findings provide new insights into the molecular mechanisms underlying perception events involved in QDR to Xcc.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The Vitis vinifera receptor VvLYK6 negatively regulates chitin-triggered immune responses and promotes fungal infections 97%
- An evolutionarily conserved coreceptor gene is essential for CLAVATA signaling in Marchantia polymorpha 97%
- Arabidopsis spliceosome factor SmD3 modulates immunity to Pseudomonas syringae infection 96%
Similar papers in this journal
- The phagocytosis oxidase/Bem1p (PB1) domain-containing protein PB1CP negatively regulates the NADPH oxidase RBOHD in plant immunity 97%
- LORE receptor homomerization is required for 3-hydroxydecanoic acid-induced immune signaling and determines the natural variation of immunosensitivity within the Arabidopsis genus 96%
- Overexpression of NDR1 Leads to Pathogen Resistance at Elevated Temperatures 96%
Similar papers in this journal
- TIR signaling promotes the interactions between EDS1/PAD4 and ADR1-L1 and oligomerization of ADR1-L1 97%
- The Flowering Time Regulator FLK Controls Pathogen Defense in Arabidopsis thaliana 97%
- ROP INTERACTIVE PARTNER b interacts with RACB and supports fungal penetration into barley epidermal cells 96%
Similar papers in this journal
- The Xanthomonas type-III effector protein XopS stabilizes CaWRKY40a to regulate defense hormone responses and preinvasion immunity in pepper (Capsicum annuum) 97%
- N-terminally truncated helper NLR NRG1C antagonizes immunity mediated by its full-length neighbors NRG1A and NRG1B 96%
- Verticillium dahliae effector VDAL protects MYB6 from degradation by interacting with PUB25/26 E3 ligases for enhancing Verticillium wilt resistance in Arabidopsis 96%
Similar papers in this journal
- Downy mildew effector HaRxL106 interacts with the transcription factor BIM1 altering plant growth, BR signaling and susceptibility to pathogens 97%
- PP2C phosphatase Pic14 negatively regulates tomato Pto/Prf-triggered immunity by inhibiting MAPK activation 97%
- Helper NLRs Nrc2 and Nrc3 act co-dependently with Prf/Pto and activate MAPK signaling to induce immunity in tomato 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.