Secondary contact and changes in coastal habitat availability influence the nonequilibrium population structure of a salmonid (Oncorhynchus keta).

Numerous empirical studies have reported lack of migration-drift equilibrium in wild populations. Determining the causes of nonequilibrium population structure is challenging because different evolutionary processes acting at a variety of spatiotemporal scales can produce similar patterns. Studies of contemporary populations in northern latitudes suggest that nonequilibrium population structure is probably caused by recent colonization of the region after the last Pleistocene ice age ended ~13,000 years ago. The chum salmon's (Oncorhynchus keta) range was fragmented by dramatic environmental changes during the Pleistocene. We investigated the population structure of chum salmon on the North Alaska Peninsula (NAP) and, using both empirical data and simulations, evaluated the effects of colonization timing and founder population heterogeneity on patterns of genetic differentiation. We screened 161 single nucleotide polymorphisms and found evidence of nonequilibrium population structure when the slope of the isolation-by-distance relationship was examined at incremental spatial scales. In addition, simulations suggested that this pattern closely matched models of recent colonization of the NAP by secondary contact. Our results agree with geological and archaeological data indicating that the NAP was a dynamic landscape that may have been more recently colonized than during the last deglaciation because of dramatic changes in coastal hydrology over the last several thousand years.

Transcriptome sequencing and high-resolution melt analysis advance single nucleotide polymorphism discovery in duplicated salmonids.

Until recently, single nucleotide polymorphism (SNP) discovery in nonmodel organisms faced many challenges, often depending upon a targeted-gene approach and Sanger sequencing of many individuals. The advent of next-generation sequencing technologies has dramatically improved discovery, but validating and testing SNPs for use in population studies remain labour intensive. Here, we detail a SNP discovery and validation pipeline that incorporates 454 pyrosequencing, high-resolution melt analysis (HRMA) and 5' nuclease genotyping. We generated 4.59×10(8) bp of redundant sequence from transcriptomes of two individual chum salmon, a highly valued species across the Pacific Rim. Nearly 26000 putative SNPs were identified--some as heterozygotes and some as homozygous for different nucleotides in the two individuals. For validation, we selected 202 templates containing single putative SNPs and conducted HRMA on 10 individuals from each of 19 populations from across the species range. Finally, 5' nuclease genotyping validated 37 SNPs that conformed to Hardy-Weinberg equilibrium expectations. Putative SNPs expressed as heterozygotes in an ascertainment individual had more than twice the validation rate of those homozygous for different alleles in the two fish, suggesting that many of the latter may have been paralogous sequence variants. Overall, this validation rate of 37/202 suggests that we have found more than 4500 templates containing SNPs for use in this population set. We anticipate using this pipeline to significantly expand the number of SNPs available for the studies of population structure and mixture analyses as well as for the studies of adaptive genetic variation in nonmodel organisms.

Single nucleotide polymorphisms across a species' range: implications for conservation studies of Pacific salmon.

Studies of the oceanic and near-shore distributions of Pacific salmon, whose migrations typically span thousands of kilometres, have become increasingly valuable in the presence of climate change, increasing hatchery production and potentially high rates of bycatch in offshore fisheries. Genetics data offer considerable insights into both the migratory routes as well as the evolutionary histories of the species. However, these types of studies require extensive data sets from spawning populations originating from across the species' range. Single nucleotide polymorphisms (SNPs) have been particularly amenable for multinational applications because they are easily shared, require little interlaboratory standardization and can be assayed through increasingly efficient technologies. Here, we discuss the development of a data set for 114 populations of chum salmon through a collaboration among North American and Asian researchers, termed PacSNP. PacSNP is focused on developing the database and applying it to problems of international interest. A data set spanning the entire range of species provides a unique opportunity to examine patterns of variability, and we review issues associated with SNP development. We found evidence of ascertainment bias within the data set, variable linkage relationships between SNPs associated with ancestral groupings and outlier loci with alleles associated with latitude.