Joint coevolutionary-epidemiological models dampen Red Queen cycles and alter conditions for epidemics

Host-parasite interactions in the form of infectious diseases are a topic of interest in both evolutionary biology and public health. Both fields have relied on mathematical models to predict and understand the dynamics and consequences of these interactions. Yet few models explicitly incorporate both epidemiological and coevolutionary dynamics, allowing for genetic variation in both hosts and parasites. By comparing a matching-alleles model of coevolution, a susceptible-infected-recovered-susceptible compartmental model from epidemiology, and a combined coevolutionary-epidemiology model we assess the effect of the coevolutionary feedback on the epidemiological dynamics and vice versa. We find that Red-Queen cycles are not robust in an epidemiological framework and that coevolutionary interactions can alter the conditions under which epidemic cycles arise. Incorporating both explicit epidemiology and genetic diversity may have important implications for the maintenance of sexual reproduction as well as disease management.

Coevolution of parasitic fungi and insect hosts

Parasitic fungi and their insect hosts provide an intriguing model system for dissecting the complex co-evolutionary processes, which result in Red Queen dynamics. To explore the genetic basis behind host-parasite coevolution we chose two parasitic fungi (Beauveria bassiana and Metarhizium anisopliae, representing the most important entomopathogenic fungi used in the biological control of pest or vector insects) and two established insect model hosts (the greater wax moth Galleria mellonella and the red flour beetle Tribolium castaneum) for which sequenced genomes or comprehensive transcriptomes are available. Focusing on these model organisms, we review the knowledge about the interactions between fungal molecules operating as virulence factors and insect host-derived defense molecules mediating antifungal immunity. Particularly the study of the intimate interactions between fungal proteinases and corresponding host-derived proteinase inhibitors elucidated novel coevolutionary mechanisms such as functional shifts or diversification of involved effector molecules. Complementarily, we compared the outcome of coevolution experiments using the parasitic fungus B. bassiana and two different insect hosts which were initially either susceptible (Galleria mellonella) or resistant (Tribolium castaneum). Taking a snapshot of host-parasite coevolution, we show that parasitic fungi can overcome host barriers such as external antimicrobial secretions just as hosts can build new barriers, both within a relatively short time of coevolution.

Balancing selection on immunity genes: review of the current literature and new analysis in Drosophila melanogaster

Balancing selection has been widely assumed to be an important evolutionary force, yet even today little is known about its abundance and its impact on the patterns of genetic diversity. Several studies have shown examples of balancing selection in humans, plants or parasites, and many genes under balancing selection are involved in immunity. It has been proposed that host-parasite coevolution is one of the main forces driving immune genes to evolve under balancing selection. In this paper, we review the literature on balancing selection on immunity genes in several organisms, including Drosophila. Furthermore, we performed a genome scan for balancing selection in an African population of Drosophila melanogaster using coalescent simulations of a demographic model with and without selection. We find very few genes under balancing selection and only one novel candidate gene related to immunity. Finally, we discuss the possible causes of the low number of genes under balancing selection.

Host-parasite coevolution: why changing population size matters

Host-parasite coevolution is widely assumed to have a major influence on biological evolution, especially as these interactions impose high selective pressure on the reciprocally interacting antagonists. The exact nature of the underlying dynamics is yet under debate and may be determined by recurrent selective sweeps (i.e., arms race dynamics), negative frequency-dependent selection (i.e., Red Queen dynamics), or a combination thereof. These interactions are often associated with reciprocally induced changes in population size, which, in turn, should have a strong impact on co-adaptation processes, yet are neglected in most current work on the topic. Here, we discuss potential consequences of temporal variations in population size on host-parasite coevolution. The limited empirical data available and the current theoretical literature in this field highlight that the consideration of such interaction-dependent population size changes is likely key for the full understanding of the coevolutionary dynamics, and, thus, a more realistic view on the complex nature of species interactions.

Molecular phylogenetics of eimeriid coccidia (Eimeriidae, Eimeriorina, Apicomplexa, Alveolata): A preliminary multi-gene and multi-genome approach

Coccidia possess three distinct genomes: nuclear, mitochondrial, and plastid. Sequences from five genes located on these three genomes were used to reconstruct the phylogenetic relationships of members of the phylum Apicomplexa: 18S rDNA sequences from the nuclear (nu) genome, partial cytochrome c oxidase subunit I sequences from the mitochondrial (mt) genome, and partial 16S and 23S rDNA sequences and RNA polymerase B sequences from plastid (pl) genomes. Maximum parsimony, maximum likelihood, and Bayesian inference were used in conjunction with nuclear substitution models generated from data subsets in the analyses. Major groups within the Apicomplexa were well supported with the mitochondrial, nuclear, and a combination of mitochondrial, nuclear and concatenated plastid gene sequences. However, the genus Eimeria was paraphyletic in phylogenetic trees based on the nuclear gene. Analyses using the individual genes (18S rDNA and cytochrome c oxidase subunit I) resolved the various apicomplexan groups with high Bayesian posterior probabilities. The multi-gene, multi-genome analyses based on concatenated nu 18S rDNA, pl 16S, pl 23S, pl rPoB, pl rPoB1, and mt COI sequences appeared useful in resolving phylogenetic relationships within the phylum Apicomplexa. Genus-level relationships, or higher, appear best supported by 18S rDNA analyses, and species-level analyses are best investigated using mt COI sequences; for parasites for which both loci are available, nuclear 18S rDNA sequences combined with mitochondrial COI sequences provide a compact and informative molecular dataset for inferring the evolutionary relationships taxa in the Apicomplexa.

Testing for local host-parasite adaptation: an experiment with Gyrodactylus ectoparasites and guppy hosts

Hosts and parasites are in a perpetual co-evolutionary "arms race". Due to their short generation time and large reproductive output, parasites are commonly believed to be ahead in this race, although increasing evidence exists that parasites are not always ahead in the arms race - in part owing to evolutionary lineage and recent ecological history. We assess local adaptation of hosts and parasites, and determine whether adaptation was influenced by ecological or evolutionary history, using full reciprocal cross-infections of four Gyrodactylus ectoparasite populations and their four guppy (Poecilia reticulata) host populations in Trinidad. To consider effects of evolutionary lineage and recent ecology, these four populations were collected from two different river drainages (Marianne and Aripo) and two different predation environments (high and low). The highest infection levels were obtained when parasites from the Aripo lineage infected guppies from the Marianne lineage, indicating a higher infectivity, virulence and/or reproductive success of the Aripo parasites. Aripo lineage guppies were also better able to limit Gyrodactylus population growth than guppies from the Marianne River, indicating their strong "resistance" to Gyrodactylus regardless of the source of the parasite. Predation environment had no detectable influence on host-parasite population dynamics of sympatric or allopatric combinations. The much stronger effect of evolutionary lineage (i.e., river) than recent ecological history (i.e., predation) emphasises its importance in driving co-evolutionary dynamics, and should be explored further in future studies on local host-parasite adaptation.

Evolution of plant eukaryotic initiation factor 4E (eIF4E) and potyvirus genome-linked protein (VPg): a game of mirrors impacting resistance spectrum and durability

Polymorphism in the plant eukaryotic translation initiation factor 4E (eIF4E) and potyvirus genome-linked protein (VPg) determine, in many cases, the outcome of the confrontation between these two organisms: compatibility (i.e. infection of the plant by the virus) or incompatibility (i.e. resistance of the plant to the virus). The two interacting proteins eIF4E and VPg show strikingly similar evolution patterns. Most codon positions in their coding sequences are highly constrained for nonsynonymous substitutions but a small number shows evidence for positive selection. Several of these latter positions were shown to be functionally important, conferring resistance to the host or pathogenicity to the virus. Determining the mutational pathways involved in pepper eIF4E diversification revealed a link between an increase of the pepper resistance spectrum towards a panel of potyvirus species and an increase of durability of the resistance towards Potato virus Y. This relationship questions the interest of using more generally the spectrum of action of a plant resistance gene as a predictor of its durability potential.