Rapid evolution of snake venom genes by positive selection has been reported previously but key features of this process such as the targets of selection, rates of gene turnover, and functional diversity of toxins generated remain unclear. This is especially true for closely related species with divergent diets. We describe the evolution of PLA(2) gene sequences isolated from genomic DNA from four taxa of Sistrurus rattlesnakes which feed on different prey. We identified four to seven distinct PLA(2 )sequences in each taxon and phylogenetic analyses suggest that these sequences represent a rapidly evolving gene family consisting of both paralogous and homologous loci with high rates of gene gain and loss. Strong positive selection was implicated as a driving force in the evolution of these protein coding sequences. Exons coding for amino acids that make up mature proteins have levels of variation two to three times greater than those of the surrounding noncoding intronic sequences. Maximum likelihood models of coding sequence evolution reveal that a high proportion (approximately 30%) of all codons in the mature protein fall into a class of codons with an estimated d(N)/d(S) (omega) ratio of at least 2.8. An analysis of selection on individual codons identified nine residues as being under strong (p < 0.01) positive selection, with a disproportionately high proportion of these residues found in two functional regions of the PLA(2) protein (surface residues and putative anticoagulant region). This is direct evidence that diversifying selection has led to high levels of functional diversity due to structural differences in proteins among these snakes. Overall, our results demonstrate that both gene gain and loss and protein sequence evolution via positive selection are important evolutionary forces driving adaptive divergence in venom proteins in closely related species of venomous snakes.

The directionality of asymmetric interactions between predators (definitive hosts) and prey (intermediate hosts) should impact trophic transmission in parasites. This study tests the prediction that trophically transmitted parasites are funneled towards asymmetric predator-prey interactions where intermediate hosts have few predators and definitive hosts feed upon many prey ('downward asymmetry'). The distribution of trophically transmitted parasites was examined in four published food webs in relation to mismatch asymmetry of predator-prey interactions. We found that trophically transmitted parasites exploit downwardly asymmetric interactions in a nonrandom manner, and particular predator-prey pairs contain more trophically transmitted parasites than would be expected by random chance alone. These findings suggest that food web topology has great bearing on the ecology of trophically transmitted parasites, and that consideration of parasite life cycles in the context of food web organization can provide insights into the forces affecting the evolution of trophic transmission.

Habitat is frequently implicated as a powerful determinant of community structure and species distributions, but few studies explicitly evaluate the relationship between habitat-based patterns of species' distributions and the presence or absence of trophic interactions. The complex (multi-host) life cycles of parasites are directly affected by these factors, but almost no data exist on the role of habitat in constraining parasite-host interactions at the community level. In this study the relationship(s) between species abundances, distributions and trophic interactions (including parasitism) were evaluated in the context of habitat structure (classic geomorphic designations of pools, riffles and runs) in a riverine community (Raritan River, Hunterdon County, NJ, USA). We report 121 taxa collected over a 2-year period, and compare the observed food web patterns to null model expectations. The results show that top predators are constrained to particular habitat types, and that species' distributions are biased towards pool habitats. However, our null model (which incorporates cascade model assumptions) accurately predicts the observed patterns of trophic interactions. Thus, habitat strongly dictates species distributions, and patterns of trophic interactions arise as a consequence of these distributions. Additionally, we find that hosts utilized in parasite life cycles are more overlapping in their distributions, and this pattern is more pronounced among those involved in trophic transmission. We conclude that habitat structure may be a strong predictor of parasite transmission routes, particularly within communities that occupy heterogeneous habitats.

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