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An epi‐evolutionary model for predicting the adaptation of spore‐producing pathogens to quantitative resistance in heterogeneous environments

hal.structure.identifierSanté et agroécologie du vignoble [UMR SAVE]
dc.contributor.authorFABRE, Frédéric
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorBURIE, Jean-Baptiste
hal.structure.identifierLaboratoire de Mathématiques Appliquées du Havre [LMAH]
dc.contributor.authorDUCROT, Arnaud
hal.structure.identifierCentre d’Ecologie Fonctionnelle et Evolutive [CEFE]
dc.contributor.authorLION, Sébastien
hal.structure.identifierMaladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle [MIVEGEC]
dc.contributor.authorRICHARD, Quentin
hal.structure.identifierMaladies infectieuses et vecteurs : écologie, génétique, évolution et contrôle [MIVEGEC]
dc.contributor.authorDJIDJOU-DEMASSE, Ramsès
dc.date.accessioned2024-04-04T02:42:53Z
dc.date.available2024-04-04T02:42:53Z
dc.date.issued2022
dc.identifier.issn1752-4563
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191285
dc.description.abstractEnWe have modeled the evolutionary epidemiology of spore-producing plant pathogens in heterogeneous environments sown with several cultivars carrying quantitative resistances. The model explicitly tracks the infection-age structure and genetic composition of the pathogen population. Each strain is characterized by pathogenicity traits determining its infection efficiency and a time-varying sporulation curve taking into account lesion aging. We first derived a general expression of the basic reproduction number urn:x-wiley:17524571:media:eva13328:eva13328-math-0001 for fungal pathogens in heterogeneous environments. We show that the evolutionary attractors of the model coincide with local maxima of urn:x-wiley:17524571:media:eva13328:eva13328-math-0002 only if the infection efficiency is the same on all host types. We then studied the contribution of three basic resistance characteristics (the pathogenicity trait targeted, resistance effectiveness, and adaptation cost), in interaction with the deployment strategy (proportion of fields sown with a resistant cultivar), to (i) pathogen diversification at equilibrium and (ii) the shaping of transient dynamics from evolutionary and epidemiological perspectives. We show that quantitative resistance affecting only the sporulation curve will always lead to a monomorphic population, whereas dimorphism (i.e., pathogen diversification) can occur if resistance alters infection efficiency, notably with high adaptation costs and proportions of the resistant cultivar. Accordingly, the choice of the quantitative resistance genes operated by plant breeders is a driver of pathogen diversification. From an evolutionary perspective, the time to emergence of the evolutionary attractor best adapted to the resistant cultivar tends to be shorter when resistance affects infection efficiency than when it affects sporulation. Conversely, from an epidemiological perspective, epidemiological control is always greater when the resistance affects infection efficiency. This highlights the difficulty of defining deployment strategies for quantitative resistance simultaneously maximizing epidemiological and evolutionary outcomes.
dc.description.sponsorshipStructuration spatiale, traitements et épidémiologie évolutive des parasites - ANR-16-CE35-0012
dc.description.sponsorshipArchitecture génétique des caractères quantitatifs dans les interactions plante-virus: conséquences pour la gestion des variétés résistantes et/ou tolérantes à l'échelle du paysage. - ANR-18-CE32-0004
dc.language.isoen
dc.publisherBlackwell
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enadaptive dynamics
dc.subject.enbasic reproduction number
dc.subject.enintegro-differential equations
dc.subject.enquantitative resistance
dc.subject.enresistance durability
dc.subject.enspore-producing pathogens
dc.title.enAn epi‐evolutionary model for predicting the adaptation of spore‐producing pathogens to quantitative resistance in heterogeneous environments
dc.typeArticle de revue
dc.identifier.doi10.1111/eva.13328
dc.subject.halMathématiques [math]/Systèmes dynamiques [math.DS]
dc.subject.halMathématiques [math]/Equations aux dérivées partielles [math.AP]
bordeaux.journalEvolutionary Applications
bordeaux.page95-110
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-03465168
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03465168v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Evolutionary%20Applications&rft.date=2022&rft.spage=95-110&rft.epage=95-110&rft.eissn=1752-4563&rft.issn=1752-4563&rft.au=FABRE,%20Fr%C3%A9d%C3%A9ric&BURIE,%20Jean-Baptiste&DUCROT,%20Arnaud&LION,%20S%C3%A9bastien&RICHARD,%20Quentin&rft.genre=article


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