DYRKA, Witold; DURRENS, Pascal; SAUPE, Sven J; PAOLETTI, Mathieu; SHERMAN, David James

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Licence d’utilisation du document

DYRKA, Witold
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Institut de biochimie et génétique cellulaires [IBGC]
Wroclaw University of Science and Technology

DURRENS, Pascal
from patterns to models in computational biodiversity and biotechnology [PLEIADE]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]

SAUPE, Sven J
Institut de biochimie et génétique cellulaires [IBGC]

Langue

Autre communication scientifique (congrès sans actes - poster - séminaire...)

Ce document a été publié dans

EMBO Young Scientists Forum 2015, 2015-07-02, Warsaw. 2015-07-02

Résumé en anglais

The NLR family of receptors plays a key role in the innate immune system of animals, plants and fungi. In the latter two phyla NLRs adapt quickly to ever-changing pathogen-specific invasion markers thanks to their repeat-based architecture, which can produce diversity of recognition epitopes through unequal crossing-over and mutation. Characterizing computationally the language of these pathogen recognition receptors can provide insight into the molecular mechanisms of immune response and describe the limits of the pathogen targets that can be recognized. In this work, we model generation and selection of the recognition epitopes as a stochastic string rewriting system with constraints, tuned by analysis of observed evolutionary processes and validated with regard to a large dataset of fungal NLRs. Among others, analyzing the feasible set of solutions revealed that the model explained the i/i + 2 periodicity observed in the repeat number distribution of a family of receptors. In addition, in exploring discrepancies between real and simulated data we discovered an overrepresented pattern which potentially has functional importance.< Réduire

Project ANR

Reconnaissance hétérospécifique chez les champignons filamenteux : Des récepteurs à la réponse cellulaire - ANR-11-BSV3-0019

Origine

Importé de hal

Unités de recherche

BioGeCo (Biodiversité Gènes & Communautés) - UMR 1202