Single nucleotide polymorphisms (SNPs) are appealing genetic markers due to several beneficial attributes, but uncertainty remains about how many of these bi-allelic markers are necessary to have sufficient power to differentiate populations, a task now generally accomplished with highly polymorphic microsatellite markers. In this study, we tested the utility of 37 SNPs and 13 microsatellites for differentiating 29 broadly distributed populations of Chinook salmon (n = 2783). Information content of all loci was determined by In and , and the top 12 markers ranked by In were microsatellites, but the 6 highest, and 7 of the top 10 ranked markers, were SNPs. The mean ratio of random SNPs to random microsatellites ranged from 3.9 to 4.1, but this ratio was consistently reduced when only the most informative loci were included. Individual assignment test accuracy was higher for microsatellites (73.1%) than SNPs (66.6%), and pooling all 50 markers provided the highest accuracy (83.2%). When marker types were combined, as few as 15 of the top ranked loci provided higher assignment accuracy than either microsatellites or SNPs alone. Neighbour-joining dendrograms revealed similar clustering patterns and pairwise tests of population differentiation had nearly identical results with each suite of markers. Statistical tests and simulations indicated that closely related populations were better differentiated by microsatellites than SNPs. Our results indicate that both types of markers are likely to be useful in population genetics studies and that, in some cases, a combination of SNPs and microsatellites may be the most effective suite of loci. Fig. 2 Chord distance (D CSE ) neighbour-joining dendrograms and self-assignment matrices of populations of Chinook salmon from North America as determined with (a) 13 microsatellites, (b) 37 SNPs, and (c) all 50 markers combined. The diagonal represents the percentage of self-assigned individuals from a population and shaded blocks above and below the diagonal indicate percentage of mis-assignments to populations corresponding with the dendrogram. Grey grid lines correspond to regional clusters in the neighbour-joining dendrogram. Shading scale at the right of each figure depicts percentage assignment in 10% increments. 3472 S . R . N A R U M E T A L .

Conservation of life history variation is an important consideration for many species with trade‐offs in migratory characteristics. Many salmonid species exhibit both resident and migratory strategies that capitalize on benefits in freshwater and marine environments. In this study, we investigated genomic signatures for migratory life history in collections of resident and anadromous Oncorhynchus nerka (Kokanee and Sockeye Salmon, respectively) from two lake systems, using ~2,600 SNPs from restriction‐site‐associated DNA sequencing (RAD‐seq). Differing demographic histories were evident in the two systems where one pair was significantly differentiated (Redfish Lake, FST = 0.091 [95% confidence interval: 0.087 to 0.095]) but the other pair was not (Alturas Lake, FST = −0.007 [−0.008 to −0.006]). Outlier and association analyses identified several candidate markers in each population pair, but there was limited evidence for parallel signatures of genomic variation associated with migration. Despite lack of evidence for consistent markers associated with migratory life history in this species, candidate markers were mapped to functional genes and provide evidence for adaptive genetic variation within each lake system. Life history variation has been maintained in these nearly extirpated populations of O. nerka, and conservation efforts to preserve this diversity are important for long‐term resiliency of this species.

Natural populations that evolve under extreme climates are likely to diverge because of selection in local environments. To explore whether local adaptation has occurred in redband trout (Oncorhynchus mykiss gairdneri) occupying differing climate regimes, we used a limited genome scan approach to test for candidate markers under selection in populations occurring in desert and montane streams. An environmental approach to identifying outlier loci, spatial analysis method and linear regression of minor allele frequency with environmental variables revealed six candidate markers (P < 0.01). Putatively neutral markers identified high genetic differentiation among desert populations relative to montane sites, likely due to intermittent flows in desert streams. Additionally, populations exhibited a highly significant pattern of isolation by temperature (P< 0.0001) and those adapted to the same environment had similar allele frequencies across candidate markers, indicating selection for differing climates. These results imply that many genes are involved in the adaptation of redband trout to differing environments, and selection acts to reinforce localization. The potential to predict genetic adaptability of individuals and populations to changing environmental conditions may have profound implications for species that face extensive anthropogenic disturbances.

It is widely recognized that genetic diversity within species is shaped by dynamic habitats. The quantitative and molecular genetic patterns observed are the result of demographics, mutation, migration, and adaptation. The populations of rainbow trout Oncorhynchus mykiss in the Columbia River basin (including both resident and anadromous forms and various subspecies) present a special challenge to understanding the relative roles of those factors. Standardized microsatellite data were compiled for 226 collections (15,658 individuals) from throughout the Columbia and Snake River basins to evaluate the genetic patterns of structure and adaptation. The data were primarily from fish of the anadromous life history form, and we used a population grouping procedure based on principal components and hierarchical k‐means clustering to cluster populations into eight aggregates or groups with similar allele frequencies. These aggregates approximated geographic regions, and the two largest principal components corresponded to ancestral lineages of Sacramento redband trout O. m. stonei, coastal rainbow trout O. m. irideus, and interior Columbia River redband trout O. m. gairdneri. Genetic data were partitioned among primary aggregates (lower Columbia, middle–upper Columbia, and Snake rivers), and the magnitude of genetic divergence relative to genetic diversity was analyzed (per locus) to test for evidence of selection and subsequent signals of adaptation. Two loci showed higher divergence than expected by chance (i.e., positive selection); however, both of these loci were on the fringe of the 99% confidence level and are potential false positives. Genetic patterns were also significantly correlated with certain environmental and habitat parameters (e.g., precipitation), but the extent to which those correlations are causal as opposed to effectual remains unclear. Despite the remaining questions, these data provide a foundation for more detailed investigations of harvest, admixture, and introgression between hatchery‐ and natural‐origin fish and differences in reproductive success among individuals as well as monitoring trends in productivity.

In this study, we electrofished 961 study sites to estimate the abundance of trout (in streams only) throughout the upper Snake River basin in Idaho (and portions of adjacent states) to determine the current status of Yellowstone cutthroat trout Oncorhynchus clarkii bouvierii and other nonnative salmonids and to assess introgressive hybridization between Yellowstone cutthroat trout and rainbow trout O. mykiss. Yellowstone cutthroat trout were the most widely distributed species of trout, followed by brook trout Salvelinus fontinalis, rainbow trout and rainbow trout 3 Yellowstone cutthroat trout hybrids, and brown trout Salmo trutta. Of the 457 sites that contained Yellowstone cutthroat trout, less than half also contained nonnative salmonids and only 88 contained rainbow trout and hybrids. In the 11 geographic management units (GMUs) for which sample size permitted abundance estimates, the number of 100-mm and larger trout was estimated to be about 2.2 6 1.2 million (mean 6 confidence interval); of these, about 1.0 6 0.4 million were Yellowstone cutthroat trout. Similarly, the estimated abundance of trout smaller than 100 mm was 2.0 6 1.4 million, of which about 1.2 6 0.7 million) were Yellowstone cutthroat trout. Both estimates are almost certainly biased downward owing to methodological constraints. Yellowstone cutthroat trout were divided into approximately 70 subpopulations, but estimates could be made for only 55 subpopulations; of these, 44 and 28 subpopulations contained more than 1,000 and 2,500 Yellowstone cutthroat trout, respectively. We compared morphological assessments of purity with subsequent molecular DNA analysis from 51 of the study sites and found that levels of purity were positively correlated between methods (r ¼ 0.84). Based on this agreement, we classified Yellowstone cutthroat trout (based on morphological characteristics alone) as pure at 81% of the study sites within these GMUs. Our results suggest that despite the presence of nonnative threats (genetic and competitive), Yellowstone cutthroat trout remain widely distributed and appear to have healthy populations in numerous river drainages in Idaho.