Design of a new effector recognition specificity in a plant NLR immune receptor by molecular engineering of its integrated decoy domain
Cesari, S.; Xi, Y.; Declerck, N.; Chalvon-Poulier, V.; Mammri, L.; Pugniere, M.; Henriquet, C.; Deguillen, K.; Padilla, A.; Kroj, T.
Show abstract
Plant nucleotide-binding and leucine-rich repeat domain proteins (NLRs) are immune sensors that specifically recognize pathogen effectors and induce immune responses. Designing artificial NLRs with new effector recognition specificities is a promising prospect for sustainable, knowledge-driven crop protection. However, such strategies are hampered by the complexity of NLR function. Here, we tested whether molecular engineering of the integrated decoy domain (ID) of an NLR could extend its recognition spectrum to a new effector. To this aim, we relied on the detailed molecular knowledge of the recognition of distinct Magnaporthe oryzae MAX (Magnaporthe AVRs and ToxB-like) effectors by the rice NLRs RGA5 and Pikp-1. For both NLRs, effector recognition involves physical binding to their HMA (Heavy Metal-Associated) IDs. However, AVR-PikD, the effector recognized by Pikp-1, binds to a completely different surface of the HMA domain compared to AVR-Pia and AVR1-CO39, recognized by RGA5. By introducing into the HMA domain of RGA5 the residues of the Pikp-1 HMA domain involved in AVR-PikD binding, we created a high-affinity binding surface for this new effector. In the Nicotiana benthamiana heterologous system, RGA5 variants carrying this engineered binding surface still recognize AVR-Pia and AVR1-CO39, but also perceive the new ligand, AVR-PikD, resulting in the activation of immune responses. Therefore, our study provides a proof of concept for the design of new effector recognition specificities in NLRs through molecular engineering of IDs. However, it pinpoints significant knowledge gaps that limit the full deployment of this NLR-ID engineering strategy and provides hypotheses for future research on this topic.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Allelic compatibility in plant immune receptors facilitates engineering of new effector recognition specificities. 98%
- Bioengineering secreted proteases converts divergent Rcr3 orthologs and paralogs into extracellular immune co-receptors 97%
- The host exocyst complex is targeted by a conserved bacterial type III effector protein that promotes virulence 96%
Similar papers in this journal
- LORE receptor homomerization is required for 3-hydroxydecanoic acid-induced immune signaling and determines the natural variation of immunosensitivity within the Arabidopsis genus 96%
- The Arabidopsis WRR4A and WRR4B paralogous NLR proteins both confer recognition of multiple Albugo candida effectors 96%
- The Ralstonia solanacearum effector RipAV targets Plant U-box proteins and induces proteasomal-dependent degradation of BIK1 96%
Similar papers in this journal
Similar papers in this journal
- The necrotrophic effector ToxA from Parastagonospora nodorum interacts with wheat NHL proteins to facilitate Tsn1-mediated necrosis 96%
- Downy mildew effector HaRxL106 interacts with the transcription factor BIM1 altering plant growth, BR signaling and susceptibility to pathogens 96%
- Functional requirement of the Arabidopsis importin-α nuclear transport receptor family in autoimmunity mediated by the NLR protein SNC1 95%
Similar papers in this journal
- The Arabidopsis V-ATPase is localized to the TGN/EE via a seed plant specific motif and acts in a partially redundant manner with the tonoplast enzyme 95%
- The Rhizobial effector NopT targets Nod factor receptors to regulate symbiosis in Lotus japonicus 95%
- Asymmetrical diversification of the receptor-ligand interaction controlling self-incompatibility in Arabidopsis 95%
"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.