The role of trade-off shapes in the evolution of parasites in spatial host populations: an approximate analytical approach.
Given the substantial changes in mixing in many populations, there is considerable interest in the role that spatial structure can play in the evolution of disease. Here we examine the role of different trade-off shapes in the evolution of parasites in a spatially structured host population where infection can occur locally or globally. We develop an approximate adaptive dynamic analytical approach, to examine how the evolutionarily stable (ES) virulence depends not only on the fraction of global infection/transmission but also on the shape of the trade-off between transmission and virulence. Our analysis can successfully predict the ES virulence found previously by simulation of the full system. The analysis confirms that when there is a linear trade-off between transmission and virulence spatial structure may lead to an ES virulence that increases as the proportion of global transmission increases. However, we also show that the ESS disappears above a threshold level of global infection, leading to maximization. In addition just below this threshold, there is the possibility of evolutionary bi-stabilities. When we assume the realistic trade-off between transmission and virulence that results in an ESS in the classical mixed model, we find that spatial structure can increase or decrease the ES virulence. A relatively high proportion of local infection reduces virulence but intermediate levels can select for higher virulence. Our work not only emphasizes the importance of spatial structure to the evolution of parasites, but also makes it clear that situations between the local and the global need to be considered. We also emphasize the key role that the shape of trade-offs plays in evolutionary outcomes.
Kamo
Masashi
M
Advanced Industrial Science and Technology, Research Center for Chemical Risk Management, 305-8569, Onogawa 16-1, Tsukuba, Japan. masashi-kamo@aist.go.jp
Sasaki
Akira
A
Boots
Mike
M
D000222:Adaptation, Physiological / Q000502:physiology; D000818:Animals; D005075:Biological Evolution; D006790:Host-Parasite Interactions; D006801:Humans; D008433:Mathematics; D008954:Models, Biological; D010271:Parasites / Q000502:physiology*; D010272:Parasitic Diseases / Q000469:parasitology* / Q000635:transmission; D014774:Virulence / Q000502:physiology