The structural landscape and diversity of Pyricularia oryzae MAX effectors revisited

Mounia Lahfa1, Philippe Barthe1, Karine de Guillen1

  • 1Centre de Biologie Structurale, Univ Montpellier, CNRS UMR 5048, INSERM U 1054, Montpellier, France.

Plos Pathogens
|May 6, 2024
PubMed

Insights

Magnaporthe AVRs and ToxB-like (MAX) effectors from Pyricularia oryzae show diverse structures despite sequence divergence. This study classifies MAX effectors into 20 groups, revealing structural variations that may explain their varied functions in plant diseases.

Area of Science:

  • Fungal Pathogenesis
  • Structural Biology
  • Genomics

Background:

  • Magnaporthe AVRs and ToxB-like (MAX) effectors are secreted virulence proteins in Pyricularia oryzae, the causal agent of devastating blast disease in cereals.
  • Despite significant sequence divergence, MAX effectors share a conserved structural core, a ß-sandwich fold stabilized by a disulfide bond.

Purpose of the Study:

  • To investigate the structural diversity and landscape of the MAX effector repertoire in Pyricularia oryzae.
  • To classify the MAX effector superfamily based on structural features and variations.

Main Methods:

  • Combined experimental methods (NMR) for protein structure determination with in silico structure modeling (AlphaFold2).
  • Validated conserved MAX effector core domains in identified orthologous groups (OGs).
  • Classified MAX effectors into structural groups by comparing AlphaFold2-generated 3D models.

Main Results:

  • Confirmed the conserved MAX effector core domain in 77 out of 94 previously identified OGs.
  • Experimental NMR structures closely matched AlphaFold2 predictions, validating the in silico approach.
  • Proposed a classification of the MAX effector superfamily into 20 distinct structural groups.
  • Identified significant structural variability in N- and C-terminal extensions and disulfide bond patterns.
  • Approximately one-third of MAX effectors were identified as singletons with limited structural similarity to others.
  • Surface property analysis of MAX models indicated high structural variability.

Conclusions:

  • The study successfully characterized the structural diversity within the MAX effector family of Pyricularia oryzae.
  • A novel classification system for MAX effectors based on structural features was established.
  • The observed structural variability suggests a wide range of functions and host targets for MAX effectors in fungal virulence.