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Population Genomics Provides Key Insights in Ecology and Evolution

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Book cover Population Genomics

Part of the book series: Population Genomics ((POGE))

Abstract

Population genomic tools have revolutionized many aspects of biology, as detailed throughout the chapters of this volume. In particular, population genomics has provided key insights into ecological and evolutionary processes in natural and managed populations. These studies address a wide range of questions, including demography, phylogeny, genetics of ecologically relevant traits, and adaptation. They have also facilitated the conservation and management of biodiversity and harvested populations. Rather than exhaustively document the applications of population genomics in ecology and evolution, in this chapter we provide perspectives on a few key issues confronting researchers seeking to use population genomic tools in non-model systems. A wide variety of molecular and computational genomic approaches are available and have been used in ecological and evolutionary studies. There is no single best approach; rather, the genomic approach used should be tailored to best address the particular study goals and guided by the biology of the system. A large number of trade-offs, costs, and benefits distinguish genomic approaches, which we discuss below. To illustrate these issues, we focus on several published case studies and assess how the research questions were addressed.

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Acknowledgments

PAH and KRA received support from NSF grant DEB-1316549. BKH was partially supported by funds from NSF grant DOB-1639014 and NASA NNX14AB84G. KRA was supported by the University of Idaho College of Natural Resources, USA. This is PMEL contribution number 4750 and Joint Institute for the Study of the Atmosphere and Ocean (JISAO) and NOAA Cooperative Agreement and NA15OAR4320063, contribution number 2018-0135.

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Authors and Affiliations

  1. Department of Biological Sciences, Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, ID, USA

    Paul A. Hohenlohe

  2. Flathead Lake Biological Station, Conservation Genomics Group, Division of Biological Sciences, University of Montana, Polson, MT, USA

    Brian K. Hand & Gordon Luikart

  3. Department of Fish and Wildlife Sciences, University of Idaho, Moscow, ID, USA

    Kimberly R. Andrews

  4. Genetics and Genomics Group, NOAA Pacific Marine Environmental Lab, University of Washington JISAO, Seattle, WA, USA

    Kimberly R. Andrews

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  1. Paul A. Hohenlohe
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  2. Brian K. Hand
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  3. Kimberly R. Andrews
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  4. Gordon Luikart
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Correspondence to Paul A. Hohenlohe .

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  1. Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, NB, Canada

    Om P. Rajora

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Hohenlohe, P.A., Hand, B.K., Andrews, K.R., Luikart, G. (2018). Population Genomics Provides Key Insights in Ecology and Evolution. In: Rajora, O. (eds) Population Genomics. Population Genomics. Springer, Cham. https://doi.org/10.1007/13836_2018_20

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