1H, 13C, 15 N backbone and side-chain NMR assignments for three MAX effectors from Magnaporthe oryzae

Mounia Lahfa1, André Padilla1, Karine de Guillen1

  • 1Centre de Biologie Structurale, Univ Montpellier, INSERM U1054, CNRS UMR 5048, Montpellier, France.

Insights

Researchers characterized new fungal MAX effectors (Magnaporthe Avrs and ToxB) crucial for plant infections. Understanding these proteins aids in developing disease-resistant rice, vital for global food security.

Area of Science:

  • Plant Pathology
  • Molecular Biology
  • Structural Biology

Background:

  • Fungal effectors, including MAX effectors, are secreted proteins translocated into plant cells during infection.
  • MAX effectors share a conserved fold topology despite sequence divergence and are produced by Magnaporthe fungi, pathogens causing significant rice crop losses.
  • Understanding MAX effectors is critical for combating phytopathogens and developing disease-resistant rice varieties, addressing global food security concerns.

Purpose of the Study:

  • To perform near-complete nuclear magnetic resonance (NMR) resonance assignment for three new putative MAX effectors (MAX47, MAX60, and MAX67).
  • To determine the secondary structure of these MAX effectors and compare it to the known canonical structure.
  • To lay the groundwork for further structural characterization and improve sequence-based predictions of MAX effectors.

Main Methods:

  • Nuclear Magnetic Resonance (NMR) spectroscopy (1H, 15N, and 13C) was used for resonance assignment.
  • TALOS-N and CSI.3 software were employed for secondary structure determination.
  • Bioinformatic data mining approaches will be utilized in subsequent studies.

Main Results:

  • Near-complete 1H, 15N, and 13C NMR resonance assignments were obtained for MAX47, MAX60, and MAX67.
  • Secondary structure analysis revealed a high content of beta-strands in all three proteins.
  • The determined secondary structures are consistent with the canonical beta-sandwich fold of MAX effectors.

Conclusions:

  • The study provides foundational NMR assignments and secondary structure information for novel MAX effectors.
  • The findings support the conserved beta-sandwich structural motif within the MAX effector family.
  • This work facilitates future detailed structural studies and enhances the potential for computational prediction of effector functions.

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