Publications des scientifiques de l'IRD

Campagne Pascal, Smouse P. E., Pasquet Rémy, Silvain Jean-François, Le Rü Bruno, Van den Berg J. (2016). Impact of violated high-dose refuge assumptions on evolution of Bt resistance. Evolutionary Applications, 9 (4), p. 596-607. ISSN 1752-4571.

Titre du document
Impact of violated high-dose refuge assumptions on evolution of Bt resistance
Année de publication
2016
Type de document
Article référencé dans le Web of Science WOS:000374553200006
Auteurs
Campagne Pascal, Smouse P. E., Pasquet Rémy, Silvain Jean-François, Le Rü Bruno, Van den Berg J.
Source
Evolutionary Applications, 2016, 9 (4), p. 596-607 ISSN 1752-4571
Transgenic crops expressing Bacillus thuringiensis (Bt) toxins have been widely and successfully deployed for the control of target pests, while allowing a substantial reduction in insecticide use. The evolution of resistance (a heritable decrease in susceptibility to Bt toxins) can pose a threat to sustained control of target pests, but a high-dose refuge (HDR) management strategy has been key to delaying countervailing evolution of Bt resistance. The HDR strategy relies on the mating frequency between susceptible and resistant individuals, so either partial dominance of resistant alleles or nonrandom mating in the pest population itself could elevate the pace of resistance evolution. Using classic Wright-Fisher genetic models, we investigated the impact of deviations from standard refuge model assumptions on resistance evolution in the pest populations. We show that when Bt selection is strong, even deviations from random mating and/or strictly recessive resistance that are below the threshold of detection can yield dramatic increases in the pace of resistance evolution. Resistance evolution is hastened whenever the order of magnitude of model violations exceeds the initial frequency of resistant alleles. We also show that the existence of a fitness cost for resistant individuals on the refuge crop cannot easily overcome the effect of violated HDR assumptions. We propose a parametrically explicit framework that enables both comparison of various field situations and model inference. Using this model, we propose novel empiric estimators of the pace of resistance evolution (and time to loss of control), whose simple calculation relies on the observed change in resistance allele frequency.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Sciences du monde végétal [076]
Localisation
Fonds IRD [F B010066878]
Identifiant IRD
fdi:010066878
Contact