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Disease swamps molecular signatures of genetic-environmental associations to abiotic factors in Tasmanian devil (Sarcophilus harrisii) populations
Authors:Alexandra K Fraik  Mark J Margres  Brendan Epstein  Soraia Barbosa  Menna Jones  Sarah Hendricks  Barbara Schönfeld  Amanda R Stahlke  Anne Veillet  Rodrigo Hamede  Hamish McCallum  Elisa Lopez-Contreras  Samantha J Kallinen  Paul A Hohenlohe  Joanna L Kelley  Andrew Storfer
Institution:1. School of Biological Sciences, Washington State University, Pullman, Washington, 99164;2. School of Biological Sciences, Washington State University, Pullman, Washington, 99164

Plant Biology, University of Minnesota, Minneapolis, Minnesota, 55455;3. Department of Biological Sciences, Institute for Bioinformatics and Evolutionary Studies, University of Idaho, 875 Perimeter Drive, Moscow, Idaho, 83844;4. School of Biological Sciences, University of Tasmania, Hobart, TAS, 7004 Australia;5. School of Environment, Griffith University Nathan, Nathan, QLD, 4111 Australia

Abstract:Landscape genomics studies focus on identifying candidate genes under selection via spatial variation in abiotic environmental variables, but rarely by biotic factors (i.e., disease). The Tasmanian devil (Sarcophilus harrisii) is found only on the environmentally heterogeneous island of Tasmania and is threatened with extinction by a transmissible cancer, devil facial tumor disease (DFTD). Devils persist in regions of long-term infection despite epidemiological model predictions of species’ extinction, suggesting possible adaptation to DFTD. Here, we test the extent to which spatial variation and genetic diversity are associated with the abiotic environment (i.e., climatic variables, elevation, vegetation cover) and/or DFTD. We employ genetic-environment association analyses using 6886 SNPs from 3287 individuals sampled pre- and post-disease arrival across the devil's geographic range. Pre-disease, we find significant correlations of allele frequencies with environmental variables, including 365 unique loci linked to 71 genes, suggesting local adaptation to abiotic environment. The majority of candidate loci detected pre-DFTD are not detected post-DFTD arrival. Several post-DFTD candidate loci are associated with disease prevalence and were in linkage disequilibrium with genes involved in tumor suppression and immune response. Loss of apparent signal of abiotic local adaptation post-disease suggests swamping by strong selection resulting from the rapid onset of DFTD.
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