Data from: Hybridization alters growth and migratory life history expression of native trout
Strait, Jeffrey T. et al. (2021), Data from: Hybridization alters growth and migratory life history expression of native trout, Dryad, Dataset, https://doi.org/10.5061/dryad.q2bvq83hg
Human-mediated hybridization threatens many native species, but the effects of introgressive hybridization on life history expression are rarely quantified, especially in vertebrates. We quantified the effects of non-native rainbow trout admixture on important life history traits including growth and partial migration behavior in three populations of westslope cutthroat trout over five years. Rainbow trout admixture was associated with increased summer growth rates in all populations, and decreased spring growth rates in two populations with cooler spring temperatures. These results indicate that non-native admixture may increase growth under warmer conditions, but cutthroat trout have higher growth rates during cooler periods. Non-native admixture consistently increased expression of migratory behavior, suggesting that there is a genomic basis for life history differences between these species. Our results show that effects of interspecific hybridization on fitness traits can be the product of genotype-by-environment interactions even when there are minor differences in environmental optima between hybridizing species. These results also indicate that while environmentally mediated traits like growth may play a role in population-level consequences of admixture, strong genetic influences on migratory life history differences between these species likely explains the continued spread of non-native hybridization at the landscape-level, despite selection against hybrids at the population-level.
In the growth analyses, data were collected with backpack electrofishing in July and October of each year. For the migration analysis, we used a combination of fish weirs, backpack electrofishing, and fixed PIT-tag arrays. The environmental data were collected with HOBO dataloggers and discharge measurements. See Strait et al. 2021 for detailed methods.
The following csv files contain all the information necessary to run the linear regression models presented in Strait et al. 2021.
In the Growth file, every row of these files represent a unique individual and growth rate, and the columns include all necessary response variables and covariates used in the analyses. See the README document for definitions of each column in each data file.
The Migration file contains the data to run the migration analysis. Each row represents a unique individual and migration event, and the columns include all th necessary response variables and covariates used in the analysis. See the README documnet for definitionas of each column in the data file.
National Science Foundation, Award: DEB-1258203
Bonneville Power Administration, Award: 199101903