The evolution of host resistance: tolerance and control as distinct strategies

Parasite-mediated disruptive selection in a natural Daphnia population

Background

A mismatch has emerged between models and data of host-parasite evolution. Theory readily predicts that parasites can promote host diversity through mechanisms such as disruptive selection. Yet, despite these predictions, empirical evidence for parasite-mediated increases in host diversity remains surprisingly scant.

Results

Here, we document parasite-mediated disruptive selection on a natural Daphnia population during a parasite epidemic. The mean susceptibility of clones collected from the population before and after the epidemic did not differ, but clonal variance and broad-sense heritability of post-epidemic clones were significantly greater, indicating disruptive selection and rapid evolution. A maximum likelihood method that we developed for detecting selection on natural populations also suggests disruptive selection during the epidemic: the distribution of susceptibilities in the population shifted from unimodal prior to the epidemic to bimodal after the epidemic. Interestingly, this same bimodal distribution was retained after a generation of sexual reproduction.

Conclusion

These results provide rare empirical support for parasite-driven increases in host genetic diversity, and suggest that this increase can occur rapidly.

The adaptive dynamics of the evolution of host resistance to indirectly transmitted microparasites

We use adaptive dynamics and pairwise invadability plots to examine the evolutionary dynamics of host resistance to microparasitic infection transmitted indirectly via free stages. We investigate trade-offs between pathogen transmission rate and intrinsic growth rate. Adaptive dynamics distinguishes various evolutionary outcomes associated with repellors, attractors or branching points. We find criteria corresponding to these and demonstrate that a major factor deciding the evolutionary outcome is whether trade-offs are acceleratingly or deceleratingly costly. We compare and contrast two models and show how the differences between them lead to different evolutionary outcomes.

Gene expression analysis in soybean in response to the causal agent of Asian soybean rust (Phakopsora pachyrhizi Sydow) in an early growth stage

Asian soybean rust (ASR) caused by Phakopsora pachyrhizi Sydow is a potentially devastating disease posing a serious threat to the soybean industry. Understanding plant host response at the molecular level is certainly important for control of the disease. The main objective of this study was to perform a transcriptome profiling of P. pachyrhizi-exposed young soybean plants (V2 growth stage) using whole genome Affymetrix microarrays of soybean. Three-week-old soybean cv. 5601 T plants at the V2 growth stage were inoculated with P. pachyrhizi, and leaf samples were collected 72 h post inoculation with subsequent microarray analysis performed. A total of 112 genes were found to be differentially expressed from P. pachyrhizi exposure, of which 46 were upregulated, and 66 were downregulated. Most of the differentially expressed genes were general defense and stress-related genes, and 34 of these were unknown. Confirmational real-time reverse transcription-polymerase chain reaction was performed on a subset of 5 out of 112 differentially expressed genes. These results were congruent with the microarray analysis. Our results indicated that low and nonspecific innate response to the pathogen may account for the failure to develop rust resistance in the soybean variety studied. To our knowledge, this is the first microarray analysis of soybean in response to ASR.

Evolutionary implications for interactions between multiple strains of host and parasite

The interaction between multiple parasite strains within different host types may influence the evolutionary trajectories of parasites. In this article, we formulate a deterministic model with two strains of parasites and two host types in order to investigate how heterogeneities in parasite virulence and host life-history may affect the persistence and spread of diseases in natural systems. We compute the reproductive number of strain i (R(i)) independently, as well as the (conditional) "invasion" reproductive number for strains i (R(i)(j), j not equal i) when strain j is at a positive equilibrium. We show that the disease-free equilibrium is locally asymptotically stable if R(i)<1 for both strains and is unstable if R(i)>1 for one stain. We establish the criterion R(i)(j)>1 for strain i to invade strain j. Subthreshold coexistence driven by coinfection is possible even when R(i) of one strain is below 1. We identify conditions that determine the evolution of parasite specialism or generalism based on the life-history strategies employed by hosts, and investigate how host strains may influence parasite persistence.