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

Liwei Guo1,2, Stella Cesari3, Karine de Guillen4

  • 1State Key Laboratory of Agrobiotechnology, China Agricultural University, 100083 Beijing, People's Republic of China.

Insights

Rice blast fungus effectors AVR1-CO39 and AVR-PikD interact with rice nucleotide-binding domain and leucine-rich repeat proteins (NLRs). Structural analysis reveals convergent evolution of these interactions, impacting NLR recognition specificity.

Area of Science:

  • Plant-pathogen interactions
  • Molecular plant pathology
  • Structural biology

Background:

  • MAX effectors from *Magnaporthe oryzae* (rice blast fungus) are recognized by rice NLR proteins.
  • Recognition involves direct interaction between effectors and the heavy metal-associated (HMA) integrated domain (ID) of NLRs.
  • AVR1-CO39 targets RGA5, and AVR-PikD targets Pikp-1.

Purpose of the Study:

  • To elucidate the structural basis of MAX effector recognition by rice NLRs.
  • To compare the interaction mechanisms of AVR1-CO39 with RGA5 HMA and AVR-PikD with Pikp1 HMA.
  • To understand the evolutionary convergence of these effector-NLR interactions.

Main Methods:

  • Crystal structure determination of RGA5 HMA alone and complexed with AVR1-CO39.
  • Comparison with the existing crystal structure of Pikp1 HMA/AVR-PikD complex.
  • In vitro and in vivo biochemical assays involving mutations in AVR1-CO39.

Main Results:

  • Both RGA5 HMA/AVR1-CO39 and Pikp1 HMA/AVR-PikD complexes show antiparallel β-sheet interactions.
  • Effectors bind to distinct surfaces on RGA5 HMA and Pikp1 HMA, indicating independent evolution.
  • The RGA5 HMA-binding surface overlaps with its self-interaction interface; mutations in AVR1-CO39 affect binding and rice recognition.

Conclusions:

  • MAX effectors evolved convergent binding mechanisms to distinct surfaces of structurally similar HMA domains in NLRs.
  • This study provides structural insights into NLR effector recognition and suggests strategies for engineering NLRs with broader specificities.
  • A hypothesis is proposed that conserved binding mechanisms, not target proteins, drive MAX effector diversity.

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