Flathead Lake Biological Station University of Montana Polson MT 59860 USA
Flathead Lake Biological Station University of Montana Polson MT 59860 USA, U.S. Geological Survey Northern Rocky Mountain Science Center Glacier National Park West Glacier MT 59936 USA
U.S. Geological Survey Northern Rocky Mountain Science Center Glacier National Park West Glacier MT 59936 USA
Columbia River Inter‐Tribal Fish Commission Hagerman Fish Culture Experiment Station 3059‐F National Fish Hatchery Road Hagerman ID 83332 USA
Pacific States Marine Fisheries Commission IDFG Eagle Fish Genetic Laboratory 1800 Trout Road Eagle ID 83616 USA
College of Forestry &, Conservation The University of Montana Missoula MT 59812 USA
Flathead Lake Biological Station University of Montana Polson MT 59860 USA, Division of Biological Sciences The University of Montana Missoula MT 59812 USA
Abstract Understanding how environmental variation influences population genetic structure is important for conservation management because it can reveal how human stressors influence population connectivity, genetic diversity and persistence. We used riverscape genetics modelling to assess whether climatic and habitat variables were related to neutral and adaptive patterns of genetic differentiation (population‐specific and pairwise F ST ) within five metapopulations (79 populations, 4583 individuals) of steelhead trout ( Oncorhynchus mykiss ) in the Columbia River Basin, USA . Using 151 putatively neutral and 29 candidate adaptive SNP loci, we found that climate‐related variables (winter precipitation, summer maximum temperature, winter highest 5% flow events and summer mean flow) best explained neutral and adaptive patterns of genetic differentiation within metapopulations, suggesting that climatic variation likely influences both demography (neutral variation) and local adaptation (adaptive variation). However, we did not observe consistent relationships between climate variables and F ST across all metapopulations, underscoring the need for replication when extrapolating results from one scale to another (e.g. basin‐wide to the metapopulation scale). Sensitivity analysis (leave‐one‐population‐out) revealed consistent relationships between climate variables and F ST within three metapopulations; however, these patterns were not consistent in two metapopulations likely due to small sample sizes ( N = 10). These results provide correlative evidence that climatic variation has shaped the genetic structure of steelhead populations and highlight the need for replication and sensitivity analyses in land and riverscape genetics.
Hand, Brian K., et al. "Climate variables explain neutral and adaptive variation within salmonid metapopulations: the importance of replication in landscape genetics." Molecular Ecology, vol. 25, no. 3, Feb. 2016. https://doi.org/10.1111/mec.13517
Hand, Brian K., Muhlfeld, Clint C., Wade, Alisa A., Kovach, Ryan P., Whited, Diane C., Narum, Shawn R., Matala, Andrew P., Ackerman, Michael W., Garner, Brittany A., Kimball, John S., Stanford, Jack A., & Luikart, Gordon (2016). Climate variables explain neutral and adaptive variation within salmonid metapopulations: the importance of replication in landscape genetics. Molecular Ecology, 25(3). https://doi.org/10.1111/mec.13517
Hand, Brian K., Muhlfeld, Clint C., Wade, Alisa A., et al., "Climate variables explain neutral and adaptive variation within salmonid metapopulations: the importance of replication in landscape genetics," Molecular Ecology 25, no. 3 (2016), https://doi.org/10.1111/mec.13517
@article{osti_1804948,
author = {Hand, Brian K. and Muhlfeld, Clint C. and Wade, Alisa A. and Kovach, Ryan P. and Whited, Diane C. and Narum, Shawn R. and Matala, Andrew P. and Ackerman, Michael W. and Garner, Brittany A. and Kimball, John S. and others},
title = {Climate variables explain neutral and adaptive variation within salmonid metapopulations: the importance of replication in landscape genetics},
annote = {Abstract Understanding how environmental variation influences population genetic structure is important for conservation management because it can reveal how human stressors influence population connectivity, genetic diversity and persistence. We used riverscape genetics modelling to assess whether climatic and habitat variables were related to neutral and adaptive patterns of genetic differentiation (population‐specific and pairwise F ST ) within five metapopulations (79 populations, 4583 individuals) of steelhead trout ( Oncorhynchus mykiss ) in the Columbia River Basin, USA . Using 151 putatively neutral and 29 candidate adaptive SNP loci, we found that climate‐related variables (winter precipitation, summer maximum temperature, winter highest 5% flow events and summer mean flow) best explained neutral and adaptive patterns of genetic differentiation within metapopulations, suggesting that climatic variation likely influences both demography (neutral variation) and local adaptation (adaptive variation). However, we did not observe consistent relationships between climate variables and F ST across all metapopulations, underscoring the need for replication when extrapolating results from one scale to another (e.g. basin‐wide to the metapopulation scale). Sensitivity analysis (leave‐one‐population‐out) revealed consistent relationships between climate variables and F ST within three metapopulations; however, these patterns were not consistent in two metapopulations likely due to small sample sizes ( N = 10). These results provide correlative evidence that climatic variation has shaped the genetic structure of steelhead populations and highlight the need for replication and sensitivity analyses in land and riverscape genetics. },
doi = {10.1111/mec.13517},
url = {https://www.osti.gov/biblio/1804948},
journal = {Molecular Ecology},
issn = {ISSN 0962-1083},
number = {3},
volume = {25},
place = {United Kingdom},
publisher = {Wiley-Blackwell},
year = {2016},
month = {02}}