Experimental evolution of parasite life-history traits in Strongyloides ratti (Nematoda).
Evolutionary ecology predicts that parasite life-history traits, including a parasite's survivorship and fecundity within a host, will evolve in response to selection and that their evolution will be constrained by trade-offs between traits. Here, we test these predictions using a nematode parasite of rats, Strongyloides ratti, as a model. We performed a selection experiment by passage of parasite progeny from either early in an infection ('fast' lines) or late in an infection ('slow' lines). We found that parasite fecundity responded to selection but that parasite survivorship did not. We found a trade-off mediated via conspecific density-dependent constraints; namely, that fast lines exhibit higher density-independent fecundity than slow lines, but fast lines suffered greater reduction in fecundity in the presence of density-dependent constraints than slow lines. We also found that slow lines both stimulate a higher level of IgG1, which is a marker for a Th2-type immune response, and show less of a reduction in fecundity in response to IgG1 levels than for fast lines. Our results confirm the general prediction that parasite life-history traits can evolve in response to selection and indicate that such evolutionary responses may have significant implications for the epidemiology of infectious disease.
Paterson
Steve
S
School of Biological Sciences, University of Liverpool, Crown Street, Liverpool L69 7ZB, UK. s.paterson@liv.ac.uk
Barber
Rebecca
R
D000818:Animals; D005075:Biological Evolution; D004797:Enzyme-Linked Immunosorbent Assay; D005260:Female; D005298:Fertility / Q000502:physiology; D007111:Immunity, Cellular / Q000276:immunology*; D007074:Immunoglobulin G / Q000097:blood; D016014:Linear Models; D008954:Models, Biological; D010271:Parasites / Q000235:genetics / Q000254:growth & development*; D011156:Population Density; D051381:Rats; D017208:Rats, Wistar; D012641:Selection, Genetic; D017170:Strongyloides ratti / Q000235:genetics / Q000254:growth & development*; D016019:Survival Analysis
D007074:Immunoglobulin G