The effect of migration on local adaptation in a coevolving host–parasite system

Morgan, Andrew D.; Gandon, Sylvain; Buckling, Angus

doi:10.1038/nature03913

Cited by 245 publications

(357 citation statements)

References 24 publications

Supporting

Mentioning

334

Contrasting

Unclassified

Order By: Relevance

“…Recent work with Pseudomonas fluorescens and lytic phages has shown that fluctuating selection between genotypes with similar ranges is possible, either following or in the absence of a coevolutionary arms race (Gomez and Buckling 2011). In addition, the frequent occurrence of local adaptation indicates that there may be multiple routes to generalism (Buckling and Rainey 2002b;Morgan et al 2005;Vos et al 2009;Koskella et al 2011). These data indicate that the GFG framework may only be capturing part of the genetic interactions between bacteria and phages, which has led others to propose more complex specificities (Agrawal andLively 2002, 2003;Weitz et al 2005;Forde et al 2008;Fenton et al 2012).…”

Section: Discussionmentioning

confidence: 99%

Spatial Structure Mitigates Fitness Costs in Host-Parasite Coevolution

Ashby

Gupta

Buckling

2014

The American Naturalist

Self Cite

View full text Add to dashboard Cite

JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. Online enhancements: appendixes, code files. abstract:The extent of population mixing is known to influence the coevolutionary outcomes of many host and parasite traits, including the evolution of generalism (the ability to resist or infect a broad range of genotypes). While the segregation of populations into interconnected demes has been shown to influence the evolution of generalism, the role of local interactions between individuals is unclear. Here, we combine an individual-based model of microbial communities with a well-established framework of genetic specificity that matches empirical observations of bacterium-phage interactions. We find the evolution of generalism in well-mixed populations to be highly sensitive to the severity of associated fitness costs, but the constraining effect of costs on the evolution of generalism is lessened in spatially structured populations. The contrasting outcomes between the two environments can be explained by different scales of competition (i.e., global vs. local). These findings suggest that local interactions may have important effects on the evolution of generalism in host-parasite interactions, particularly in the presence of high fitness costs.

show abstract

Section: Discussionmentioning

confidence: 99%

Spatial Structure Mitigates Fitness Costs in Host-Parasite Coevolution

Ashby

Gupta

Buckling

2014

The American Naturalist

Self Cite

View full text Add to dashboard Cite

show abstract

“…As we still know little about the genetic architecture of host resistance and parasite virulence, it is difficult to judge which genetic model best explains phenotypic observations of coevolutionary dynamics (Edmunds and Alstad, 1978;Lively et al, 2004;Morgan et al, 2005;Laine, 2006;Decaestecker et al, 2007;Jokela et al, 2009;Morran et al, 2011;Kerstes et al, 2012). A review of quantitative trait locus studies in host-parasite systems suggested that host resistance is often influenced by a few loci with rather strong effects and epistatic interactions (Wilfert and Schmid-Hempel, 2008).…”

Section: Introductionmentioning

confidence: 99%

Genetic architecture of resistance in Daphnia hosts against two species of host-specific parasites

Routtu

Ebert

2014

Heredity

View full text Add to dashboard Cite

Understanding the genetic architecture of host resistance is key for understanding the evolution of host-parasite interactions. Evolutionary models often assume simple genetics based on few loci and strong epistasis. It is unknown, however, whether these assumptions apply to natural populations. Using a quantitative trait loci (QTL) approach, we explore the genetic architecture of resistance in the crustacean Daphnia magna to two of its natural parasites: the horizontally transmitted bacterium Pasteuria ramosa and the horizontally and vertically transmitted microsporidium Hamiltosporidium tvaerminnensis. These two systems have become models for studies on the evolution of host-parasite interactions. In the QTL panel used here, Daphnia's resistance to P. ramosa is controlled by a single major QTL (which explains 50% of the observed variation). Resistance to H. tvaerminnensis horizontal infections shows a signature of a quantitative trait based in multiple loci with weak epistatic interactions (together explaining 38% variation). Resistance to H. tvaerminnensis vertical infections, however, shows only one QTL (explaining 13.5% variance) that colocalizes with one of the QTLs for horizontal infections. QTLs for resistance to Pasteuria and Hamiltosporidium do not colocalize. We conclude that the genetics of resistance in D. magna are drastically different for these two parasites. Furthermore, we infer that based on these and earlier results, the mechanisms of coevolution differ strongly for the two host-parasite systems. Only the Pasteuria-Daphnia system is expected to follow the negative frequency-dependent selection (Red Queen) model. How coevolution works in the Hamiltosporidium-Daphnia system remains unclear.

show abstract

“…Another set of potential reasons for varied results in local hostparasite adaptation studies is untested interactions with other factors related to evolutionary history or ecological context (Thompson, 1994(Thompson, , 1999Morgan et al, 2005). Evolutionarily, different host lineages and their co-evolved parasites could have had different histories of selection, genetic bottlenecks, drift and founder events which might have strongly shaped co-evolutionary trajectories.…”

Section: Introductionmentioning

confidence: 99%