@article{2c73067cfd264e42a4c5462e06225e56,
title = "Signatures of polygenic adaptation associated with climate across the range of a threatened fish species with high genetic connectivity",
abstract = "Adaptive differences across species{\textquoteright} ranges can have important implications for population persistence and conservation management decisions. Despite advances in genomic technologies, detecting adaptive variation in natural populations remains challenging. Key challenges in gene–environment association studies involve distinguishing the effects of drift from those of selection and identifying subtle signatures of polygenic adaptation. We used paired-end restriction site-associated DNA sequencing data (6,605 biallelic single nucleotide polymorphisms; SNPs) to examine population structure and test for signatures of adaptation across the geographic range of an iconic Australian endemic freshwater fish species, the Murray cod Maccullochella peelii. Two univariate gene–association methods identified 61 genomic regions associated with climate variation. We also tested for subtle signatures of polygenic adaptation using a multivariate method (redundancy analysis; RDA). The RDA analysis suggested that climate (temperature- and precipitation-related variables) and geography had similar magnitudes of effect in shaping the distribution of SNP genotypes across the sampled range of Murray cod. Although there was poor agreement among the candidate SNPs identified by the univariate methods, the top 5% of SNPs contributing to significant RDA axes included 67% of the SNPs identified by univariate methods. We discuss the potential implications of our findings for the management of Murray cod and other species generally, particularly in relation to informing conservation actions such as translocations to improve evolutionary resilience of natural populations. Our results highlight the value of using a combination of different approaches, including polygenic methods, when testing for signatures of adaptation in landscape genomic studies.",
keywords = "candidate genes, landscape genomics, local adaptation, natural populations, spatial genetics, wildlife management",
author = "K.A. Harrisson and S.J. Amish and A. Pavlova and S.R. Narum and M. Telonis-Scott and M.L. Rourke and J. Lyon and Z. Tonkin and D.M. Gilligan and B.A. Ingram and M. Lintermans and H.M. Gan and C.M. Austin and G. Luikart and P. Sunnucks",
note = "Funding Information: This work was supported by ARC Grant LP110200017 to Monash University, Flinders University of South Australia and the University of Canberra, with Partner Organization University of Montana. Funding and other support was contributed by industry Partner Organizations Icon Water (formerly ACTEW Water and ACTEW Corporation), Department of Sustainability and Environment (Victoria) (now within Department of Environment, Land, Water & Planning), Fisheries Victoria (now within Department of Economic Development, Jobs, Transport and Resources), Melbourne Water and Fisheries New South Wales. KAH `was supported by the Holsworth Wildlife Research Endowment and an Australian Postgraduate Award through Monash University. GL and SJA were supported in part by NSF-DEB grant 1258203. Computationally intensive analyses were run on the Monash Computing Cluster courtesy of Monash eResearch, with the support of Philip Chan. We thank Joanne Kearns for curatorial assistance. Maria Roitman and Alice Sunnucks assisted with DNA extractions. Jian Yen provided helpful comments on earlier drafts and analyses. Three anonymous reviewers provided helpful comments on earlier versions of the manuscript. Funding Information: This work was supported by ARC Grant LP110200017 to Monash University, Flinders University of South Australia and the University of Canberra, with Partner Organization University of Montana. Funding and other support was contributed by industry Partner Organizations Icon Water (formerly ACTEW Water and ACTEW Corporation), Department of Sustainability and Environment (Victoria) (now within Department of Environment, Land, Water & Planning), Fisheries Victoria (now within Department of Economic Development, Jobs, Transport and Resources), Melbourne Water and Fisheries New South Wales. KAH `was supported by the Holsworth Wildlife Research Endowment and an Australian Postgraduate Award through Monash University. GL and SJA were supported in part by NSF-DEB grant 1258203. Computationally intensive analyses were run on the Mon-ash Computing Cluster courtesy of Monash eResearch, with the support of Philip Chan. We thank Joanne Kearns for curatorial assistance. Maria Roitman and Alice Sunnucks assisted with DNA extractions. Jian Yen provided helpful comments on earlier drafts and analyses. Three anonymous reviewers provided helpful comments on earlier versions of the manuscript. Publisher Copyright: {\textcopyright} 2017 John Wiley & Sons Ltd",
year = "2017",
doi = "10.1111/mec.14368",
language = "English",
volume = "26",
pages = "6253--6269",
journal = "Molecular Ecology",
issn = "0962-1083",
publisher = "Wiley-Blackwell",
number = "22",
}