115-5 Assessing the Importance of Sexually Biased and Sexually Antagonistic Genes in Salmonid Fishes

Ruth B. Phillips , Biological Sciences VELS 215, Washington State University, Vancouver, Vancouver, WA
Joshua Faber-Hammond , Biological Sciences VELS 215, Washington State University, Vancouver, Vancouver, WA
Linda K. Park , Conservation Biology Division, NOAA Nortwest Fisheries Science Center, Seattle, WA
Sexual dimorphism is found in many organisms, so it is not surprising that sexually biased gene expression is also common. Many of these genes with sexually biased expression are involved in reproductive success, and would be important for conservation.  Experiments using microarrays have shown that a significant number of genes in many organisms have a sexual bias in expression. Sexually antagonistic mutations or mutations beneficial to one sex but harmful to the other account for some of these differences in gene expression.  If a particular gene product is very deleterious to one sex, the expression of it may be reduced or eliminated in the other sex, thus reducing the “sexual conflict”.  Sex chromosome theory predicts that sexually antagonistic mutations should accumulate in tight linkage with a new sex-determining gene, even when the harm to benefit ratio is high. Salmonid fishes have the XX/XY mode of sex determination, but the male-determining region is located on a different linkage group in almost every species, so most of the species have “new” sex chromosomes containing genes that are autosomal in the other species. Sockeye salmon (Oncorhynchus nerka) is especially interesting because the Y chromosome is a fusion between the coho salmon (O. kisutch) Y and a chromosome arm that is autosomal in coho salmon. Theoretically, divergent selection between the sexes on sex-linked genes can be identified by analysis of population data.  Results of an analysis of signatures of selection on sex-linked genetic markers in natural populations of both species will be presented along with suggestions on how future genomic data may be used to address these questions.