title: Spatially structured superinfection and the evolution of disease virulence.
abstract: When pathogen strains differing in virulence compete for hosts, spatial structuring of disease transmission can govern both evolved levels of virulence and patterns in strain coexistence. We develop a spatially detailed model of superinfection, a form of contest competition between pathogen strains; the probability of superinfection depends explicitly on the difference in levels of virulence. We apply methods of adaptive dynamics to address the interplay of spatial dynamics and evolution. The mean-field approximation predicts evolution to criticality; any small increase in virulence capable of dynamical persistence is favored. Both pair approximation and simulation of the detailed model indicate that spatial structure constrains disease virulence. Increased spatial clustering reduces the maximal virulence capable of single-strain persistence and, more importantly, reduces the convergent-stable virulence level under strain competition. The spatially detailed model predicts that increasing the probability of superinfection, for given difference in virulence, increases the likelihood of between-strain coexistence. When strains differing in virulence can coexist ecologically, our results may suggest policies for managing diseases with localized transmission. Comparing equilibrium densities from the pair approximation, we find that introducing a more virulent strain into a host population infected by a less virulent strain can sometimes reduce total host mortality and increase global host density.
authors.affiliation: Department of Biological Sciences, University at Albany, NY 12222, USA. caraco@albany.edu
authors.forename: Thomas
authors.initials: T
authors.lastname: Caraco
authors.forename: Stephan
authors.initials: S
authors.lastname: Glavanakov
authors.forename: Shengua
authors.initials: S
authors.lastname: Li
authors.forename: William
authors.initials: W
authors.lastname: Maniatty
authors.forename: Boleslaw K
authors.initials: BK
authors.lastname: Szymanski
mesh_terms: D000222:Adaptation, Physiological; D005075:Biological Evolution; D003141:Communicable Diseases / Q000635:transmission*; D004198:Disease Susceptibility; D018562:Disease Transmission, Infectious; D006801:Humans; D008954:Models, Biological; D015163:Superinfection / Q000382:microbiology / Q000635:transmission*; D014774:Virulence / Q000235:genetics*