title: Gene expression differences underlying genotype-by-genotype specificity in a host-parasite system.
abstract: In many systems, host-parasite evolutionary dynamics have led to the emergence and maintenance of diverse parasite and host genotypes within the same population. Genotypes vary in key attributes: Parasite genotypes vary in ability to infect, host genotypes vary in susceptibility, and infection outcome is frequently the result of both parties' genotypic identities. These host-parasite genotype-by-genotype (GH × GP) interactions influence evolutionary and ecological dynamics in important ways. Interactions can be produced through genetic variation; however, here, we assess the role of variable gene expression as an additional source of GH × GP interactions. The bumblebee Bombus terrestris and its trypanosome gut parasite Crithidia bombi are a model system for host-parasite matching. Full-transcriptome sequencing of the bumblebee host revealed that different parasite genotypes indeed induce fundamentally different host expression responses and host genotypes vary in their responses to the infecting parasite genotype. It appears that broadly and successfully infecting parasite genotypes lead to reduced host immune gene expression relative to unexposed bees but induce the expression of genes responsible for controlling gene expression. Contrastingly, a poorly infecting parasite genotype induced the expression of immunologically important genes, including antimicrobial peptides. A targeted expression assay confirmed the transcriptome results and also revealed strong host genotype effects. In all, the expression of a number of genes depends on the host genotype and the parasite genotype and the interaction between both host and parasite genotypes. These results suggest that alongside sequence variation in coding immunological genes, variation that controls immune gene expression can also produce patterns of host-parasite specificity.
authors.affiliation: Experimental Ecology, Institute of Integrative Biology, Eidgenössiche Technische Hochschule (ETH) Zürich, CH-8092 Zürich, Switzerland.
authors.forename: Seth M
authors.initials: SM
authors.lastname: Barribeau
authors.forename: Ben M
authors.initials: BM
authors.lastname: Sadd
authors.forename: Louis
authors.initials: L
authors.lastname: du Plessis
authors.forename: Paul
authors.initials: P
authors.lastname: Schmid-Hempel
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D001483:Base Sequence; D001516:Bees / Q000276:immunology / Q000469:parasitology*; D005075:Biological Evolution; D019295:Computational Biology; D003421:Crithidia / Q000502:physiology*; D017931:DNA Primers / Q000235:genetics; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation / Q000235:genetics / Q000276:immunology*; D063990:Gene Ontology; D005838:Genotype; D006790:Host-Parasite Interactions / Q000235:genetics / Q000276:immunology*; D008969:Molecular Sequence Data; D017423:Sequence Analysis, RNA; D013045:Species Specificity; D013557:Switzerland
chemical_list: D017931:DNA Primers
keywords: Red Queen; coevolution; manipulation