Evolution of host life-history traits in a spatially structured host-parasite system.

Most models for the evolution of host defense against parasites assume that host populations are not spatially structured. Yet local interactions and limited dispersal can strongly affect the evolutionary outcome, because they significantly alter epidemiological feedbacks and the spatial genetic structuring of the host and pathogen populations. We provide a general framework to study the evolution of a number of host life-history traits in a spatially structured host population infected by a horizontally transmitted parasite. Our analysis teases apart the selective pressures on hosts and helps disentangle the direct fitness effect of mutations and their indirect effects via the influence of spatial structure on the genetic, demographic, and epidemiological structure of the host population. We then illustrate the evolutionary consequences of spatial structure by focusing on the evolution of two host defense strategies against parasitism: suicide upon infection and reduced transmission. Because they bring no direct fitness benefit, these strategies are counterselected or selectively neutral in a nonspatial setting, but we show that they can be selected for in a spatially structured environment. Our study thus sheds light on the evolution of altruistic defense mechanisms that have been observed in various biological systems.

Virulence evolution and the trade-off hypothesis: history, current state of affairs and the future.

It has been more than two decades since the formulation of the so-called 'trade-off' hypothesis as an alternative to the then commonly accepted idea that parasites should always evolve towards avirulence (the 'avirulence hypothesis'). The trade-off hypothesis states that virulence is an unavoidable consequence of parasite transmission; however, since the 1990s, this hypothesis has been increasingly challenged. We discuss the history of the study of virulence evolution and the development of theories towards the trade-off hypothesis in order to illustrate the context of the debate. We investigate the arguments raised against the trade-off hypothesis and argue that trade-offs exist, but may not be of the simple form that is usually assumed, involving other mechanisms (and life-history traits) than those originally considered. Many processes such as pathogen adaptation to within-host competition, interactions with the immune system and shifting transmission routes, will all be interrelated making sweeping evolutionary predictions harder to obtain. We argue that this is the heart of the current debate in the field and while species-specific models may be better predictive tools, the trade-off hypothesis and its basic extensions are necessary to assess the qualitative impacts of virulence management strategies.

Host life history and the evolution of parasite virulence.

We present a general epidemiological model of host-parasite interactions that includes various forms of superinfection. We use this model to study the effects of different host life-history traits on the evolution of parasite virulence. In particular, we analyze the effects of natural host death rate on the evolutionarily stable parasite virulence. We show that, contrary to classical predictions, an increase in the natural host death rate may select for lower parasite virulence if some form of superinfection occurs. This result is in agreement with the experimental results and the verbal argument presented by Ebert and Mangin (1997). This experiment is discussed in the light of the present model. We also point out the importance of superinfections for the effect of nonspecific immunity on the evolution of virulence. In a broader perspective, this model demonstrates that the occurrence of multiple infections may qualitatively alter classical predictions concerning the effects of various host life-history traits on the evolution of parasite virulence.

Alternative food, switching predators, and the persistence of predator-prey systems.

Sigmoid functional responses may arise from a variety of mechanisms, one of which is switching to alternative food sources. It has long been known that sigmoid (Holling's Type III) functional responses may stabilize an otherwise unstable equilibrium of prey and predators in Lotka-Volterra models. This poses the question of under what conditions such switching-mediated stability is likely to occur. A more complete understanding of the effect of predator switching would therefore require the analysis of one-predator/two-prey models, but these are difficult to analyze. We studied a model based on the simplifying assumption that the alternative food source has a fixed density. A well-known result from optimal foraging theory is that when prey density drops below a threshold density, optimally foraging predators will switch to alternative food, either by including the alternative food in their diet (in a fine-grained environment) or by moving to the alternative food source (in a coarse-grained environment). Analyzing the population dynamical consequences of such stepwise switches, we found that equilibria will not be stable at all. For suboptimal predators, a more gradual change will occur, resulting in stable equilibria for a limited range of alternative food types. This range is notably narrow in a fine-grained environment. Yet, even if switching to alternative food does not stabilize the equilibrium, it may prevent unbounded oscillations and thus promote persistence. These dynamics can well be understood from the occurrence of an abrupt (or at least steep) change in the prey isocline. Whereas local stability is favored only by specific types of alternative food, persistence of prey and predators is promoted by a much wider range of food types.

The Unit of Selection in Viscous Populations and the Evolution of Altruism.

Group selection can overcome individual selection for selfishness and favour altruism if there is variation among the founders of the spatially distinct groups, and groups with many altruists become substantially larger (or exist longer) than groups with few. Whether altruism can evolve in populations that do not have an alternation of local population growth and global dispersal ("viscous populations") has been disputed for some time. Limited dispersal protects the altruists from the non-altruists, but also hinders the export of altruism. In this article, we used the Pair Approximation technique (tracking the dynamics of pairs of neighbours instead of single individuals) to derive explicit invasion conditions for rare mutants in populations with limited dispersal. In such viscous populations, invading mutants form clusters, and ultimately, invasion conditions depend on the properties of such clusters. Thus there is selection on a higher level than that of the individual; in fact, invasion conditions define the unit of selection in viscous populations. We treat the evolution of altruism as a specific example, but the method is of more general interest. In particular, an important advantage is that the spatial aspects can be incorporated into game theory in a straightforward fashion; we will specify the ESS for a more general model. The invasion condition can be interpreted in terms of inclusive fitness. In contrast with Hamilton's model, the coefficient of relatedness is not merely a given genetical constant but depends on local population dynamical processes (birth, dispersal and death of individuals). With a simple birth rate function, Hamilton's rule is recovered: the cost to the donor should be less than the benefit to the recipient weighted with the coefficient of relatedness. As the coefficient of relatedness is roughly proportional to an individual's number of neighbours, benefits to the recipient must be substantial to outweigh the costs, confirming earlier studies. We discuss the consequences for the evolution of dispersal and outline how the method may be extended to study evolution in interacting populations.Copyright 1998 Academic Press

Coevolution of recovery ability and virulence.

Most models for coevolution of hosts and parasites are based on the assumption that resistance of hosts to parasites is an all-or-nothing effect. In many cases, for example where parasites require an appropriate receptor on host cells, this is a reasonable assumption. However, in many other cases, for example where hosts mount an immune response, this picture may be too simple. An immune system is expensive to maintain, which poses a question as to how much of its resources a host should allocate to resist parasites: if the risk of infection is low, natural selection may favour hosts with less effective immune systems. As optimal allocation to defence will depend on the force of infection, and the force of infection, in turn, depends on the level of defence in the rest of the host population, a game-theoretic approach is necessary. Here I analyse a simple model for the evolution of the ability to recover from infection. If parasites are not allowed to coevolve, the outcome is a single evolutionarily stable strategy (ESS). If the parasites coevolve, multiple evolutionary outcomes are possible, one in which the parasites are relatively avirulent and common and the hosts invest little in recovery ability, and another (the escalated arms race) where parasites are rare but virulent and the hosts invest heavily in defence.

Determining the site and nature of DNA mutations with the cloned MutY mismatch repair enzyme.

The Escherichia coli MutY gene was cloned into a modified pET-11 plasmid which was then transfected into an E.coli HMS174 host for overproduction of the MutY mismatch repair (MR) enzyme. Approximately 30-50% of the total cellular protein in the transformed HMS174 cells was isopropyl-beta-D-thiogalactoside-induced MutY protein, as estimated from the staining intensity on an SDS-PAGE gel following electrophoresis. The MutY protein was purified to near homogeneity by cellulose phosphate ion-exchange chromatography followed by gel filtration chromatography. The purified MutY protein had enzyme activities which cleaved the A of a G/A mismatch at the 3' end of the first phosphodiester bond and then the 5' end of the second phosphodiester bond of the A. It also cut the A of a C/A mismatch, but to a much lesser extent, and the activity was DNA sequence-dependent. The reliability of the assay in determining the site and nature of a DNA mutation was examined in human tumor DNA samples with known or unknown p53 mutations. In the assay, polymerase chain reaction-amplified DNA fragments from normal and mutated p53 genes were mixed, denatured and annealed to generate mismatches of G/A or C/A for cleavage by the MutY MR enzyme. The assay results revealed the site and nature of known G:C<-->T:A mutations. In addition, a previously unknown G:C to T:A mutation, which was misread in the sequencing analysis of a tumor DNA preparation, was identified by this assay.

Coevolution of patch selection strategies of predator and prey and the consequences for ecological stability.

In a seminal publication Hassell and May demonstrated that sufficiently uneven spatial distributions can stabilize predator-prey systems. In this article we investigate whether such spatial distributions (of either predators or prey) can be caused by behavior that is favored by natural selection. If selection operates on predators only, evolutionarily stable patch selection strategies (ESSs) will lead to predator aggregation, provided the prey are unevenly distributed. However, to render the ecological equilibrium stable, prey aggregation needs to be very strong. If selection operates at both trophic levels, then simultaneous ESSs will exist for predator and prey. Where patches are of equal quality (as is implicitly assumed in Hassell and May's model), the distributions of both predators and prey will be homogeneous, and ecological stability will vanish. Where patches differ, for example, in prey reproduction or survival, aggregated distributions of prey and predators will result. A stable ecological equilibrium is then possible, but only if there are many patches of marginal quality. This article shows that the combination of both evolutionary and ecological stability criteria not only allows one to test whether ecological theories are compatible with the theory of natural selection but may also lead to new insights, such as why low-quality patches may constitute a partial refuge for the prey.