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A new GTSeq resource to facilitate multijurisdictional research and management of walleye Sander vitreus
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  • Peter Euclide,
  • Wes Larson,
  • Matthew Bootsma,
  • Loren Miller,
  • Kim Scribner,
  • Wendylee Stott,
  • Chris Wilson,
  • Emily Latch
Peter Euclide
Purdue University

Corresponding Author:[email protected]

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Wes Larson
University of Wisconsin-Stevens Point
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Matthew Bootsma
University of Wisconsin-Stevens Point
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Loren Miller
Minnesota Department of Natural Resources
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Kim Scribner
Michigan State University
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Wendylee Stott
Ontario Ministry of Northern Development, Mines, Natural Resources and Forestry
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Chris Wilson
Ontario Ministry of Natural Resources
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Emily Latch
University of Wisconsin - Milwaukee
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Conservation and management professionals often works across jurisdictional boundaries to identify broad ecological patterns. These collaborations help to protect populations whose distributions span political borders. One common limitation to multijurisdictional collaboration is consistency in data recording and reporting. This limitation can impact genetic research which relies on data about specific markers in an organism’s genome. Incomplete overlap of markers between separate studies can prevent direct comparisons. Standardized marker panels can reduce the impact this issue and provide a common starting place for new research. Genotyping-in-thousands (GTSeq) is one approach used to create standardized marker panels for non-model organisms. Here we describe the development, optimization, and early assessments of a new GTSeq panel for use with walleye (Sander vitreus) from the Great Lakes region of North America. High genome-coverage sequencing conducted using RAD-capture provided genotypes for thousands of single nucleotide polymorphisms (SNPs). From these markers, SNP and microhaplotype makers were chosen that were informative for genetic stock identification (GSI) and kinship analysis. The final GTSeq panel contained 500 markers, including 197 microhaplotypes and 303 SNPs. Leave-one-out GSI simulations indicated that GSI accuracy should be greater than 80% in most jurisdictions. The false-positive rates of parent-offspring and full-sibling kinship identification was found to be low. Finally, genotypes could be consistently scored among separate sequencing runs >94% of the time. Results indicate that the GTSeq panel we developed should perform well for multijurisdictional research throughout the Great Lakes region.
14 Oct 2022Submitted to Ecology and Evolution
17 Oct 2022Submission Checks Completed
17 Oct 2022Assigned to Editor
19 Oct 2022Reviewer(s) Assigned
07 Nov 2022Review(s) Completed, Editorial Evaluation Pending
08 Nov 2022Editorial Decision: Revise Minor
14 Nov 20221st Revision Received
15 Nov 2022Submission Checks Completed
15 Nov 2022Assigned to Editor
15 Nov 2022Review(s) Completed, Editorial Evaluation Pending
16 Nov 2022Editorial Decision: Accept