Stuart Willis

and 5 more

Polyploidization has played a critical role in the evolution of several major organism groups, including vertebrates, but much of our knowledge of the evolution of polyploids comes from allopolyploid and often rediploidized lineages, which partly reflects the difficulty of obtaining genotype data from polysomic genomes. We combined several contemporary methods to develop markers for single nucleotide polymorphisms compatible with simultaneous ploidy estimation and high throughput genotyping, and analyzed these data with recent software developments that accept polysomic data. We demonstrate the utility of this combination to develop genetic resources for polysomic species by applying it to the ploidy-variable and polysomic white sturgeon (Acipenser transmontanus), an imperiled species under conservation management in the Pacific Northwest. We introduce a primer and probe set for 325 SNP markers for use with the ‘Genotyping-by-thousands’ (GT-seq) method, and provide updated scripts that incorporate a function to estimate ploidy from each individual using read count data. We examine the reliability of tetrasomic inheritance in a large sample of paleo-octoploid individuals and the expected Mendelian inheritance patterns in known cross families. We then demonstrate our ability to use these data to infer parentage, relatedness, and other population genetic parameters. Our combined process thus improves the accessibility of genetic information to facilitate future investigations of white sturgeon and is expected to be widely applicable to other polyploid species.

Jon Hess

and 12 more

Erin Collins

and 3 more

Fish migrations are energetically costly, especially when moving between fresh and saltwater, but are a viable strategy for Pacific salmon and trout (Oncorhynchus spp.) due to the advantageous resources available at various life stages. Anadromous steelhead (O. mykiss) migrate vast distances and exhibit variation for migration phenotypes that have a genetic basis at candidate genes known as greb1L and rock1. We examined the distribution of genetic variation at 13 candidate markers spanning greb1L, intergenic, and rock1 regions versus 246 neutral markers for 113 populations (n = 9,471) of steelhead from inland and coastal lineages in the Columbia River. Patterns of population structure with neutral markers reflected genetic similarity by geographic region as demonstrated in previous studies, but candidate markers clustered populations by predominate genetic variation associated with migration timing. Mature alleles for late migration had the highest frequency overall in steelhead populations throughout the Columbia River, with only 9 of 113 populations that had a higher frequency of premature alleles for early migration. While a single haplotype block was evident for the coastal lineage, we identified multiple haplotype blocks for the inland lineage. The inland lineage had one haplotype block that corresponded to candidate markers within the greb1L gene and immediately upstream in the intergenic region, and the second block only contained candidate markers from the intergenic region. Haplotype frequencies had similar patterns of geographic distribution as single markers, but there were distinct differences in frequency between the two haplotype blocks for the inland lineage. Redundancy analyses were used to model environmental effects on allelic frequencies of candidate markers and significant variables were migration distance, temperature, isothermality, and annual precipitation. This study improves our understanding of the spatial distribution of genetic variation underlying migration timing in steelhead as well as associated environmental factors and has direct conservation and management implications.