4.0 Article

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

Journal

BIOMOLECULAR NMR ASSIGNMENTS
Volume 16, Issue 2, Pages 305-309

Publisher

SPRINGER
DOI: 10.1007/s12104-022-10095-2

Keywords

Magnaporthe oryzae; Effector; Plant pathogen; Protein chemical shift assignment

Funding

  1. ANR project MagMAX [ANR-18-CE20-0016-02]
  2. French Infrastructure for Integrated Structural Biology (FRISBI) [ANR-10-INSB-05]
  3. Agence Nationale de la Recherche (ANR) [ANR-18-CE20-0016] Funding Source: Agence Nationale de la Recherche (ANR)

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This study reports the NMR resonance assignment and secondary structure analysis of three putative MAX effectors (MAX47, MAX60, and MAX67), revealing a high content of beta-strands consistent with the canonical ss-sandwich structure of MAX effectors. These findings lay the foundation for further structural characterization and sequence predictions of other MAX effectors.
Effectors are small and very diverse proteins secreted by fungi and translocated in plant cells during infection. Among them, MAX effectors (for Magnaporthe Avrs and ToxB) were identified as a family of effectors that share an identical fold topology despite having highly divergent sequences. They are mostly secreted by ascomycetes from the Magnaporthe genus, a fungus that causes the rice blast, a plant disease leading to huge crop losses. As rice is the first source of calories in many countries, especially in Asia and Africa, this constitutes a threat for world food security. Hence, a better understanding of these effectors, including structural and functional characterization, constitutes a strategic milestone in the fight against phytopathogen fungi and may give clues for the development of resistant varieties of rice. We report here the near complete H-1, (15) N and C-13 NMR resonance assignment of three new putative MAX effectors (MAX47, MAX60 and MAX67). Secondary structure determination using TALOS-N and CSI.3 demonstrates a high content of beta-strands in all the three proteins, in agreement with the canonic ss-sandwich structure of MAX effectors. This preliminary study provides foundations for further structural characterization, that will help in turn to improve sequence predictions of other MAX effectors through data mining.

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