title: Evolution of antibiotic resistance by human and bacterial niche construction.
abstract: Antibiotic treatment by humans generates strong viability selection for antibiotic-resistant bacterial strains. The frequency of host antibiotic use often determines the strength of this selection, and changing patterns of antibiotic use can generate many types of behaviors in the population dynamics of resistant and sensitive bacterial populations. In this paper, we present a simple model of hosts dimorphic for their tendency to use/avoid antibiotics and bacterial pathogens dimorphic in their resistance/sensitivity to antibiotic treatment. When a constant fraction of hosts uses antibiotics, the two bacterial strain populations can coexist unless host use-frequency is above a critical value; this critical value is derived as the ratio of the fitness cost of resistance to the fitness cost of undergoing treatment. When strain frequencies can affect host behavior, the dynamics may be analyzed in the light of niche construction. We consider three models underlying changing host behavior: conformism, the avoidance of long infections, and adherence to the advice of public health officials. In the latter two, we find that the pathogen can have quite a strong effect on host behavior. In particular, if antibiotic use is discouraged when resistance levels are high, we observe a classic niche-construction phenomenon of maintaining strain polymorphism even in parameter regions where it would not be expected.
authors.affiliation: Department of Biological Sciences, 371 Serra Mall, Stanford University, Stanford, CA 94305, USA. maciek@charles.stanford.edu
authors.forename: Maciej F
authors.initials: MF
authors.lastname: Boni
authors.forename: Marcus W
authors.initials: MW
authors.lastname: Feldman
mesh_terms: D000900:Anti-Bacterial Agents / Q000494:pharmacology; D018407:Bacterial Physiological Phenomena; D005075:Biological Evolution; D003198:Computer Simulation; D024881:Drug Resistance, Bacterial / Q000187:drug effects / Q000235:genetics*; D006801:Humans; D008954:Models, Biological; D011157:Population Dynamics; D012641:Selection, Genetic; D013045:Species Specificity
chemical_list: D000900:Anti-Bacterial Agents