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

Metadatos

Licencia de uso del documento

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]

Idioma

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

Este ítem está publicado en

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

Resumen en inglés

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.< Leer menos

Proyecto ANR

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

Orígen

Importado de Hal

Centros de investigación

BioGeCo (Biodiversité Gènes & Communautés) - UMR 1202