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Deciphering the language of fungal pathogen recognition receptors

hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierInstitut de biochimie et génétique cellulaires [IBGC]
hal.structure.identifierWroclaw University of Science and Technology
dc.contributor.authorDYRKA, Witold
hal.structure.identifierfrom patterns to models in computational biodiversity and biotechnology [PLEIADE]
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorDURRENS, Pascal
hal.structure.identifierInstitut de biochimie et génétique cellulaires [IBGC]
dc.contributor.authorSAUPE, Sven J
hal.structure.identifierInstitut de biochimie et génétique cellulaires [IBGC]
dc.contributor.authorPAOLETTI, Mathieu
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
hal.structure.identifierfrom patterns to models in computational biodiversity and biotechnology [PLEIADE]
dc.contributor.authorSHERMAN, David James
dc.date.created2015-06-30
dc.date.issued2015-07-02
dc.date.conference2015-07-02
dc.description.abstractEnThe 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.
dc.description.sponsorshipReconnaissance hétérospécifique chez les champignons filamenteux : Des récepteurs à la réponse cellulaire - ANR-11-BSV3-0019
dc.language.isoen
dc.title.enDeciphering the language of fungal pathogen recognition receptors
dc.typeAutre communication scientifique (congrès sans actes - poster - séminaire...)
dc.subject.halInformatique [cs]/Bio-informatique [q-bio.QM]
bordeaux.countryPL
bordeaux.title.proceedingEMBO Young Scientists Forum 2015
bordeaux.conference.cityWarsaw
bordeaux.peerReviewedoui
hal.identifierhal-01171745
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01171745v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2015-07-02&rft.au=DYRKA,%20Witold&DURRENS,%20Pascal&SAUPE,%20Sven%20J&PAOLETTI,%20Mathieu&SHERMAN,%20David%20James&rft.genre=conference


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