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Using Genomic Data to Guide Walleye Management in the Great Lakes

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Yellow Perch, Walleye, and Sauger: Aspects of Ecology, Management, and Culture

Part of the book series: Fish & Fisheries Series ((FIFI,volume 41))

Abstract

Genetic and genomic resources are being developed at a rapid pace, offering powerful tools that can help protect and sustain ecologically important fish populations and the valued fisheries that they support. Herein, we discuss recent and ongoing genetic/genomic research in the Great Lakes and how high-throughput sequencing data has informed Walleye (Stizostedion vitreum) biology and management. During 2017–2018, RAD-sequencing refined descriptions of population genetic structure in Lake Erie, showing that genomic data can improve assignment accuracy for mixed-stock analysis. During 2018–2019, research demonstrated the function of Rapture panels to determine the natal origins of Walleye captured in eastern Lake Erie’s recreational and commercial mixed-stock fisheries, indicating that both local (eastern basin) and distant (western basin) local spawning populations contribute to these fisheries. In 2019, researchers began to evaluate the hierarchical population structure of Walleye from 31 Great Lakes spawning sites and use a 99,636-bait Rapture panel to identify potential signals of local adaptation within these populations. In addition to highlighting these advances, we discuss how the continued development of these and other molecular tools (e.g., GT-seq panels that can help to reduce the cost and processing time for repeated genetic studies) could allow for 1000s of individuals to be cost-effectively genotyped annually. Such ability would continue to pave the way for researchers and management agencies to identify population structure, estimate relative stock contributions to mixed-stock fisheries, evaluate parentage, inform hatchery practices, or conduct other molecular analyses in support of other management or conservation needs.

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Authors and Affiliations

  1. Department of Biological Sciences, College of Letters and Sciences, University of Wisconsin – Milwaukee, Milwaukee, WI, USA

    Peter T. Euclide

  2. New York State Department of Environmental Conservation, Lake Erie Fisheries Research Unit, Dunkirk, NY, USA

    Jason Robinson

  3. Ohio Department of Natural Resources, Sandusky, OH, USA

    Matthew Faust

  4. Aquatic Ecology Laboratory, Department of Evolution, Ecology and Organismal Biology, The Ohio State University, Columbus, OH, USA

    Stuart A. Ludsin, Elizabeth A. Marschall & Kuan-Yu Chen

  5. Lake Erie Management Unit, Ontario Ministry of Natural Resources and Forestry, Port Dover, ON, Canada

    Thomas M. MacDougall

  6. Ontario Ministry of Natural Resources and Forestry, Aquatic Research Section, Trent University, Peterborough, ON, Canada

    Chris Wilson

  7. College of Natural Resources, University of Wisconsin-Stevens Point, Stevens Point, WI, USA

    Matthew Bootsma

  8. Michigan State University/USGS Great Lakes Science Center, Ann Arbor, MI, USA

    Wendylee Stott

  9. Department of Fish and Wildlife, Michigan State University, East Lansing, MI, USA

    Kim T. Scribner

  10. Alaska Fisheries Science Center, National Oceanic and Atmospheric Administration, Juneau, AK, USA

    Wesley A. Larson

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  1. Peter T. Euclide
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  2. Jason Robinson
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  3. Matthew Faust
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  4. Stuart A. Ludsin
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  6. Elizabeth A. Marschall
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  7. Kuan-Yu Chen
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  8. Chris Wilson
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  9. Matthew Bootsma
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  10. Wendylee Stott
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  12. Wesley A. Larson
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Editor information

Editors and Affiliations

  1. Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada

    John Clay Bruner

  2. Lake Erie Center, University of Toledo, Toledo, OH, USA

    Robin L. DeBruyne

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Euclide, P.T. et al. (2021). Using Genomic Data to Guide Walleye Management in the Great Lakes. In: Bruner, J.C., DeBruyne, R.L. (eds) Yellow Perch, Walleye, and Sauger: Aspects of Ecology, Management, and Culture . Fish & Fisheries Series, vol 41. Springer, Cham. https://doi.org/10.1007/978-3-030-80678-1_5

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