Literature DB >> 28087830

Recognition of the Magnaporthe oryzae Effector AVR-Pia by the Decoy Domain of the Rice NLR Immune Receptor RGA5.

Diana Ortiz1, Karine de Guillen2, Stella Cesari1,3, Véronique Chalvon1, Jérome Gracy2, André Padilla2, Thomas Kroj4.   

Abstract

Nucleotide binding domain and leucine-rich repeat proteins (NLRs) are important receptors in plant immunity that allow recognition of pathogen effectors. The rice (Oryza sativa) NLR RGA5 recognizes the Magnaporthe oryzae effector AVR-Pia through direct interaction. Here, we gained detailed insights into the molecular and structural bases of AVR-Pia-RGA5 interaction and the role of the RATX1 decoy domain of RGA5. NMR titration combined with in vitro and in vivo protein-protein interaction analyses identified the AVR-Pia interaction surface that binds to the RATX1 domain. Structure-informed AVR-Pia mutants showed that, although AVR-Pia associates with additional sites in RGA5, binding to the RATX1 domain is necessary for pathogen recognition but can be of moderate affinity. Therefore, RGA5-mediated resistance is highly resilient to mutations in the effector. We propose a model that explains such robust effector recognition as a consequence, and an advantage, of the combination of integrated decoy domains with additional independent effector-NLR interactions.
© 2017 American Society of Plant Biologists. All rights reserved.

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Year:  2017        PMID: 28087830      PMCID: PMC5304345          DOI: 10.1105/tpc.16.00435

Source DB:  PubMed          Journal:  Plant Cell        ISSN: 1040-4651            Impact factor:   11.277


  49 in total

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Review 6.  Effector-triggered immunity: from pathogen perception to robust defense.

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6.  Harnessing Effector-Triggered Immunity for Durable Disease Resistance.

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Review 9.  Proteinaceous effector discovery and characterization in filamentous plant pathogens.

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10.  Specific recognition of two MAX effectors by integrated HMA domains in plant immune receptors involves distinct binding surfaces.

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Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-24       Impact factor: 11.205

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