Data from: Temporal patterns of genetic variation in a salmon population undergoing rapid change in migration timing

• Main Authors: Kovach, Ryan P., Gharrett, Anthony J., Tallmon, David A.
• Format: Dataset
• Language: English
• Published: Dryad 2020
• Subjects: salmon; Genetic divergence; genetic effective population size; Oncorhychus gorbuscha; genetic change; Climate Change; phenology; genetic diversity; Alaska; Life sciences; medicine and health care; envir; demo; Pink salmon
• Online Access: https://doi.org/10.5061/dryad.p2m22

Though genetic diversity is necessary for population persistence in rapidly changing environments, little is known about how climate-warming influences patterns of intra-population genetic variation. For a pink salmon population experiencing increasing temperatures, we used temporal genetic data (microsatellite = 1993, 2001, 2009; allozyme = 1979, 1981, 1983) to quantify the genetic effective population size (Ne) and genetic divergence due to differences in migration timing and to estimate whether these quantities have changed over time. We predicted that temporal trends toward earlier migration timing and a corresponding loss of phenotypic variation would decrease genetic divergence based on migration timing and Ne. We observed significant genetic divergence based on migration timing and genetic heterogeneity between early- and late-migrating fish. There was also some evidence for divergent selection between early- and late-migrating fish at circadian rhythm genes, but results varied over time. Estimates of Ne from multiple methods were large (>1200) and Ne/Nc generally exceeded 0.2. Despite shifts in migration timing and loss of phenotypic variation, there was no evidence for changes in within-population genetic divergence or Ne over the course of this study. These results suggest that in instances of population stability, genetic diversity may be resistant to climate-induced changes in migration timing. Data_For_Kovachetal2013_EvolAppsThis file contains the data used in "Temporal patterns of genetic variation in a salmon population undergoing rapid change in migration timing". The data are organized based on the methods used to analyze them and year. The first three sheets are the data used for estimating the effective population size - the files are in ONeSAMP format. The next three files are the data sets used to test for autocorrelation (GENALEX) and population structure (STRUCTURE) - the files are in GENALEX format. The next sheet "Allozymes" contains the raw allele frequency data that were used to ...