Study of the molecular basis of recognition of the fungal effector AVR-Pia by the rice immune receptor RGA5

Plant diseases caused by fungi constitute a worldwide threat to food security and disease resistance (R) genes that allow to breed resistant crops are key elements for efficient disease control. The vast majority of R genes code for NLR multi domain proteins characterized by nucleotide-binding and leucine-rich repeat domains and acting as intracellular immune receptors for pathogen-secreted virulence factors termed effectors. Phytopathogenic fungi possess huge effector repertoires that are dominated by hundreds of sequence-unrelated small secreted proteins. The first question I addressed in my PhD thesis is: how is the tremendous diversity of fungal effectors generated? A structural analysis had identified the family of sequence-unrelated but structurally conserved MAX-effectors (Magnaporthe Avrs and ToxB like) that has expanded specifically in Magnaporthe oryzae the causal agent of rice blast disease. By expression analysis, I confirmed that the majority of M. oryzae MAX-effectors are expressed specifically during early infection suggesting important functions during host colonization. MAX effectors are the first structurally defined family of effectors in fungi and this study gives therefore news clues for the identification of candidate effectors in fungi and constitutes a crucial step towards a better understanding of effector evolution. In fact, the scenario observed for MAX-effectors leads to the hypothesis that the enormous number of sequence-unrelated fungal effectors belong in fact to a restricted set of structurally conserved effector families.The second question I investigated in my PhD thesis is: what are the molecular mechanisms of effector recognition by NLR immune receptors? I addressed this question by studying recognition of the M. oryzae effector AVR-Pia by the rice NLR pair RGA4/RGA5. Previous work has shown that RGA5 acts as a receptor that binds directly to AVR-Pia while RGA4 acts as a constitutively active signaling protein that is, in the absence of pathogen, repressed by RGA5. This functional interaction involves formation of an RGA4/RGA5 receptor complex. By protein-protein interaction studies, I showed that complex formation involves interactions between the RA4 and RGA5 NB-ARC and LRR domains, in addition to previously identified interactions between the coiled-coil domains. AVR-Pia recognition seems not to induce dissociation of the RGA4/RGA5 complex but a ternary RGA4/RGA5/AVR-Pia complex could also not be detected consistently. How effector recognition is translated into receptor complex activation remains therefore to be elucidated in more detail in the future. Previous work has shown that a domain of RGA5 normally not present in NLRs and related to the copper chaperone ATX1 (RATX1 domain) interacts physically with AVR-Pia and may be crucial for effector recognition. The RATX1 domain was hypothesized to mimic the true host targets of AVR-Pia leading to the development of the ‘integrated decoy’ model that states that unconventional domains in NLRs act as decoys in the recognition of effector proteins. By detailed structure-informed analysis of AVR-Pia, I could confirm the pivotal role of the AVR-Pia-RATX1 interaction for effector recognition lending important support to the integrated decoy model. In addition, I could precisely characterize the interaction surface with which AVR-Pia binds to the RGA5 RATX1 domain. Finally, I detected interactions of AVR-Pia with other parts of RGA5, in particular the NB-ARC and the LRR domains. Based on these results, I developed a model that explains how such binding to several independent sites in NLRs leads to high overall affinity and robust effector recognition that is resilient to effector mutations. Taken together, this study provides important novel insight into NLR function and effector recognition and contributes by this to a better understanding of plant immunity which is crucial for generating durable disease resistance in crops.