title: Effects of genetic background on response to selection in experimental populations of Arabidopsis thaliana.
abstract: The extent to which genetic background can influence allelic fitness is poorly understood, despite having important evolutionary consequences. Using experimental populations of Arabidopsis thaliana and map-based population genetic data, we examined a multigeneration response to selection in populations with differentiated genetic backgrounds. Replicated experimental populations of A. thaliana with genetic backgrounds derived from ecotypes Landsberg and Niederzenz were subjected to strong viability and fertility selection by growing individuals from each population at high density for three generations in a growth chamber. Patterns of genome-wide selection were evaluated by examining deviations from expected frequencies of mapped molecular markers. Estimates of selection coefficients for individual genomic regions ranged from near 0 to 0.685. Genomic regions demonstrating the strongest response to selection most often were selected similarly in both genetic backgrounds. The selection response of several weakly selected regions, however, appeared to be sensitive to genetic background, but only one region showed evidence of positive selection in one background and negative selection in another. These results are most consistent with models of adaptive evolution in which allelic fitnesses are not strongly influenced by genetic background and only infrequently change in sign due to variation at other loci.
authors.affiliation: Department of Biology, Indiana University, Bloomington, Indiana 47405, USA. mcungere@unity.ncsu.edu
authors.forename: Mark C
authors.initials: MC
authors.lastname: Ungerer
authors.forename: C Randal
authors.initials: CR
authors.lastname: Linder
authors.forename: Loren H
authors.initials: LH
authors.lastname: Rieseberg
mesh_terms: D017360:Arabidopsis / Q000235:genetics*; D008040:Genetic Linkage; D005819:Genetic Markers; D005843:Geography; D006579:Heterozygote; D012641:Selection, Genetic
chemical_list: D005819:Genetic Markers