title: Multi-gene-loci inheritance in resistance modeling.
abstract: The ability of an organism to degrade harmful substances to less toxic compounds is referred to as metabolic resistance. The biochemical processes result in a shift of dose-response curves associated with the toxic substances. Hence, the development of metabolic resistance may cause great problems of managing pests and diseases by pesticides. We develop a polygenic fitness model capable of simulating the emergence of metabolic resistance. Within the model, polygenic inheritance is described by a new approach based on tensor products of heredity matrices. This is included as genetic submodel into the time-continuous population model for all possible biotypes. Evolution is acting on the parameters of dose-response curves, i.e., on the mortality rates and thus on the ED(50)-value. The resulting system of differential equations is analyzed with respect to polymorphic equilibria. Under a longterm application of only one mode of action the model produces a gradual shift of the mean dose-response curve of the population which is frequently observed in the field. Different scenarios of the development of metabolic resistance are demonstrated in numerical experiments.
authors.affiliation: Technische Universität Braunschweig, Institute for Computational Mathematics, Pockelsstr. 14, 38106 Braunschweig, Germany. d.langemann@tu-bs.de
authors.forename: Dirk
authors.initials: D
authors.lastname: Langemann
authors.forename: Otto
authors.initials: O
authors.lastname: Richter
authors.forename: Antje
authors.initials: A
authors.lastname: Vollrath
mesh_terms: D003198:Computer Simulation; D019143:Evolution, Molecular; D008957:Models, Genetic; D020412:Multifactorial Inheritance; D013312:Stress, Physiological / Q000235:genetics*