title: Natural selection on floral traits of female Silene dioica by a sexually transmitted disease.
abstract: Floral traits endowing high reproductive fitness can also affect the probability of plants contracting sexually transmitted diseases. We explore how variations in floral traits influence the fitness of Silene dioica females in their interactions with pollinators carrying pollen or spores of the sterilizing anther-smut fungus Microbotryum violaceum. We collected healthy and infected plants in a highly diseased population and grew them under conditions that 'cure' infected individuals, and used standard regression methods to detect natural selection on floral traits. Narrow-sense heritabilities, coefficients of additive genetic variation (CV(A)) and genetic correlations among traits were estimated from paternal half-sib groups. Pollinator preferences imposed strong direct and directional selection on traits affecting female attractiveness and pollen-/spore-capturing abilities. Levels of additive genetic variance were high in these traits, suggesting that rapid responses to selection are possible. By considering our results in the light of spatial and temporal heterogeneity resulting from the colonization dynamics typical for this species, we suggest that the conflicting selective effects of pollen/spore loads lead to the maintenance of genetic variation in these traits.
authors.affiliation: Department of Ecology and Environmental Science, Umeå University, S-901 87 Umeå, Sweden. barbara.giles@emg.umu.se
authors.forename: Barbara E
authors.initials: BE
authors.lastname: Giles
authors.forename: Tor Mikael
authors.initials: TM
authors.lastname: Pettersson
authors.forename: Ulla
authors.initials: U
authors.lastname: Carlsson-Granér
authors.forename: Pär K
authors.initials: PK
authors.lastname: Ingvarsson
mesh_terms: D035264:Flowers / Q000033:anatomy & histology / Q000235:genetics / Q000382:microbiology; D014644:Genetic Variation; D008954:Models, Biological; D010641:Phenotype; D010935:Plant Diseases / Q000382:microbiology*; D012044:Regression Analysis; D012641:Selection, Genetic; D029751:Silene / Q000033:anatomy & histology / Q000235:genetics* / Q000382:microbiology