Agritrop
Accueil

Structure determination and ab initio prediction provide new insights into the diversity of Magnaporthe oryzae MAX effectors [P-93]

Lahfa Mounia, de Guillen Karine, Declerck Nathalie, Barthe Philippe, Gracy Jérôme, Charriat Florian, Gladieux Pierre, Cesari Stella, Kroj Thomas, Roumestand Christian, Padilla André. 2023. Structure determination and ab initio prediction provide new insights into the diversity of Magnaporthe oryzae MAX effectors [P-93]. European Biophysics Journal, 52, suppl. 1, p. S90 EBSA European Biophysics Congress. 14, Stockholm, Suède, 31 Juillet 2023/4 Août 2023.

Article de revue ; Article de revue à facteur d'impact
[img] Version publiée - Anglais
Accès réservé aux personnels Cirad
Utilisation soumise à autorisation de l'auteur ou du Cirad.
608351.pdf

Télécharger (1MB)

Résumé : MAX effectors are a family of proteins widely distributed in the phytopathogen fungus Magnaporthe oryzae that share a conserved 3D structure despite low sequence identity. These effectors family of almost 100 members constitute the molecular arsenal for the fungus infection and contribute to the pathogenicity of the plant pathogen that causes blast disease of a wide variety of cereals. Determining the structure of these effectors is a challenging case study that was overcome by the development of a prediction pipeline combined with modeling using the Alphafold software. After sequence screening of M. oryzae secretomes and identification of MAX effectors the Alphafold models were confronted with experimentally validated NMR structures. The compilation of models and experimental structures highlighted the existence of variability within this structural family that was essentially reflected by the existence of structured N- or C-terminal extensions beyond the preserved MAX core. Folding pathways were studied by High Pressure NMR to further characterize folding intermediates that involved elements of the MAX core but also additional extensions. Taken together, this work constitutes the first step in mapping the functional network of these effectors through their structure by identifying possible interacting sites within the MAX effectors that are useful to prioritize plant biology studies of infected hosts.

Mots-clés Agrovoc : effecteur moléculaire, interactions biologiques, Magnaporthe, maladie de la pyriculariose des plantes, céréale

Classification Agris : H20 - Maladies des plantes

Champ stratégique Cirad : CTS 4 (2019-) - Santé des plantes, des animaux et des écosystèmes

Auteurs et affiliations

  • Lahfa Mounia, Université de Montpellier (FRA)
  • de Guillen Karine, Université de Montpellier (FRA)
  • Declerck Nathalie, Université de Montpellier (FRA)
  • Barthe Philippe, CNRS (FRA)
  • Gracy Jérôme, CNRS (FRA)
  • Charriat Florian, CIRAD-BIOS-UMR ASTRE (FRA)
  • Gladieux Pierre, INRAE (FRA)
  • Cesari Stella, INRAE (FRA)
  • Kroj Thomas, INRAE (FRA)
  • Roumestand Christian, Université de Montpellier (FRA)
  • Padilla André, Université de Montpellier (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/608351/)

Voir la notice (accès réservé à Agritrop) Voir la notice (accès réservé à Agritrop)

[ Page générée et mise en cache le 2024-12-18 ]