pp 1-28 | Cite as

Population Genomics Provides Key Insights in Ecology and Evolution

  • Paul A. Hohenlohe
  • Brian K. Hand
  • Kimberly R. Andrews
  • Gordon Luikart
Chapter
Part of the Population Genomics book series

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.

Keywords

Genetics of adaptation Inbreeding Next-generation sequencing Phylogenomics Population genetic structure Population genomics 

Notes

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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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Paul A. Hohenlohe
    • 1
  • Brian K. Hand
    • 2
  • Kimberly R. Andrews
    • 3
    • 4
  • Gordon Luikart
    • 2
  1. 1.Department of Biological SciencesInstitute for Bioinformatics and Evolutionary Studies, University of IdahoMoscowUSA
  2. 2.Flathead Lake Biological Station, Conservation Genomics Group, Division of Biological SciencesUniversity of MontanaPolsonUSA
  3. 3.Department of Fish and Wildlife SciencesUniversity of IdahoMoscowUSA
  4. 4.Genetics and Genomics Group, NOAA Pacific Marine Environmental LabUniversity of Washington JISAOSeattleUSA

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