Genomics and conservation: Guidance from training to analyses and applications

  • Lauren M. Schiebelhut
  • , Annie S. Guillaume
  • , Arianna Kuhn
  • , Rena M. Schweizer
  • , Ellie E. Armstrong
  • , Mark A. Beaumont
  • , Margaret Byrne
  • , Ted Cosart
  • , Brian K. Hand
  • , Leif Howard
  • , Steven M. Mussmann
  • , Shawn R. Narum
  • , Rita Rasteiro
  • , Angel G. Rivera-Colón
  • , Norah Saarman
  • , Arun Sethuraman
  • , Helen R. Taylor
  • , Gregg W.C. Thomas
  • , Maren Wellenreuther
  • , Gordon Luikart

Research output: Contribution to journalReview articlepeer-review

9 Scopus citations

Abstract

Environmental change is intensifying the biodiversity crisis and threatening species across the tree of life. Conservation genomics can help inform conservation actions and slow biodiversity loss. However, more training, appropriate use of novel genomic methods and communication with managers are needed. Here, we review practical guidance to improve applied conservation genomics. We share insights aimed at ensuring effectiveness of conservation actions around three themes: (1) improving pedagogy and training in conservation genomics including for online global audiences, (2) conducting rigorous population genomic analyses properly considering theory, marker types and data interpretation and (3) facilitating communication and collaboration between managers and researchers. We aim to update students and professionals and expand their conservation toolkit with genomic principles and recent approaches for conserving and managing biodiversity. The biodiversity crisis is a global problem and, as such, requires international involvement, training, collaboration and frequent reviews of the literature and workshops as we do here.

Original languageEnglish
Article numbere13893
Pages (from-to)e13893
JournalMolecular Ecology Resources
Volume24
Issue number2
DOIs
StatePublished - Feb 2024

Funding

We thank Eric Anderson (and other instructors) for providing open access to resources for computing and bioinformatics in conservation genomics and various other ConGen tutorials. We also thank the participants of ConGen 2021 for their feedback on the course. Sponsors supporting ConGen include the National Science Foundation of the United States (grant DoB-1639014), the National Aeronautics and Space Administration (NASA grant 80NSSC19K0185), the American Genetics Association (AGA), Dovetail Genomics, Springer Publishing and Wiley Publishing. The course virtual server was also supported through Paul Hohenlohe (NSF grant DEB-1655809). The use of trade, product, industry or firm names is for informative purposes only and does not constitute an endorsement by the U.S. Government or the U.S. Fish and Wildlife Service. Links to non-Service websites do not imply any official U.S. Fish and Wildlife Service endorsement of the opinions or ideas expressed therein or guarantee the validity of the information provided. The findings, conclusions and opinions expressed in this article represent those of the authors, and do not necessarily represent the views of the U.S. Fish & Wildlife Service. We thank Eric Anderson (and other instructors) for providing open access to resources for computing and bioinformatics in conservation genomics and various other ConGen tutorials. We also thank the participants of ConGen 2021 for their feedback on the course. Sponsors supporting ConGen include the National Science Foundation of the United States (grant DoB‐1639014), the National Aeronautics and Space Administration (NASA grant 80NSSC19K0185), the American Genetics Association (AGA), Dovetail Genomics, Springer Publishing and Wiley Publishing. The course virtual server was also supported through Paul Hohenlohe (NSF grant DEB‐1655809). The use of trade, product, industry or firm names is for informative purposes only and does not constitute an endorsement by the U.S. Government or the U.S. Fish and Wildlife Service. Links to non‐Service websites do not imply any official U.S. Fish and Wildlife Service endorsement of the opinions or ideas expressed therein or guarantee the validity of the information provided. The findings, conclusions and opinions expressed in this article represent those of the authors, and do not necessarily represent the views of the U.S. Fish & Wildlife Service.

FundersFunder number
DEB‐1655809
National Aeronautics and Space Administration80NSSC19K0185

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 13 - Climate Action
      SDG 13 Climate Action

    Keywords

    • bioinformatics
    • climate adaptation
    • conservation management
    • data analysis
    • genome assembly
    • molecular ecology
    • online courses
    • population genomics
    • sequence quality control
    • Humans
    • Genomics
    • Biodiversity
    • Genome
    • Conservation of Natural Resources/methods

    Fingerprint

    Dive into the research topics of 'Genomics and conservation: Guidance from training to analyses and applications'. Together they form a unique fingerprint.

    Cite this