Sustainable deployment of QTLs conferring quantitative resistance to crops: first lessons from a stochastic model


Autoria(s): Bourget, Romain; Chaumont, Loïc; Durel, Charles-Eric; Sapoukhina, Natalia
Contribuinte(s)

Institut de Recherche en Horticulture et Semences (IRHS) ; Institut National de la Recherche Agronomique (INRA) - AGROCAMPUS OUEST

Laboratoire Angevin de REcherche en MAthématiques (LAREMA) ; Centre National de la Recherche Scientifique (CNRS) - Université d'Angers (UA)

Data(s)

2015

Resumo

International audience

<p>Quantitative plant disease resistance is believed to be more durable than qualitative resistance, since it exerts less selective pressure on the pathogens. However, the process of progressive pathogen adaptation to quantitative resistance is poorly understood, which makes it difficult to predict its durability or to derive principles for its sustainable deployment. Here, we study the dynamics of pathogen adaptation in response to quantitative plant resistance affecting pathogen reproduction rate and its colonizing capacity.</p><p>We developed a stochastic model for the continuous evolution of a pathogen population within a quantitatively resistant host. We assumed that pathogen can adapt to a host by the progressive restoration of reproduction rate or of colonizing capacity, or of both.</p><p>Our model suggests that a combination of quantitative trait loci (QTLs) affecting distinct pathogen traits was more durable if the evolution of repressed traits was antagonistic. Otherwise, quantitative resistance that depressed only pathogen reproduction was more durable.</p><p>In order to decelerate the progressive pathogen adaptation, QTLs that decrease the pathogen's maximum capacity to colonize must be combined with QTLs that decrease the spore production per lesion or the infection efficiency or that increase the latent period. Our theoretical framework can help breeders to develop principles for sustainable deployment of QTLs.</p>

Identificador

hal-01392102

https://hal.archives-ouvertes.fr/hal-01392102

DOI : 10.1111/nph.13295

OKINA : ua11904

Idioma(s)

en

Publicador

HAL CCSD

Relação

info:eu-repo/semantics/altIdentifier/doi/10.1111/nph.13295

Fonte

ISSN: 1469-8137

New Phytologist

https://hal.archives-ouvertes.fr/hal-01392102

New Phytologist, 2015, 206 (3), pp.1163-1171. <10.1111/nph.13295>

Palavras-Chave #birth and death process #Breeding strategies #continuous adaptive dynamics #Partial resistance #QTL erosion #resistance durability #[MATH] Mathematics [math]
Tipo

info:eu-repo/semantics/article

Journal articles