Complications of Estimating Hatchery Introgression in the Face of Rapid Divergence: A Case Study in Brook Trout (Salvelinus fontinalis)

ABSTRACT Fish stocking has been utilized for over a century to offset extirpations or declines in abundance of many native species. These historical declines and hatchery contributions have led to uncertainty surrounding whether many contemporary populations are native, introgressed with hatchery so...

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Main Authors: Bradley Erdman, Wesley Larson, Matthew G. Mitro, Joanna D. T. Griffin, David Rowe, Justin Haglund, Kirk Olson, Michael T. Kinnison
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Evolutionary Applications
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Online Access:https://doi.org/10.1111/eva.70026
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author Bradley Erdman
Wesley Larson
Matthew G. Mitro
Joanna D. T. Griffin
David Rowe
Justin Haglund
Kirk Olson
Michael T. Kinnison
author_facet Bradley Erdman
Wesley Larson
Matthew G. Mitro
Joanna D. T. Griffin
David Rowe
Justin Haglund
Kirk Olson
Michael T. Kinnison
author_sort Bradley Erdman
collection DOAJ
description ABSTRACT Fish stocking has been utilized for over a century to offset extirpations or declines in abundance of many native species. These historical declines and hatchery contributions have led to uncertainty surrounding whether many contemporary populations are native, introgressed with hatchery sources, or entirely of hatchery origin. Such uncertainty is problematic for the conservation of native biodiversity as it hampers management agencies' ability to prioritize the conservation of indigenous locally adapted populations. Fortunately, genetic and genomic tools have allowed researchers to investigate these questions, often through the use of clustering or assignment approaches that are predicated on identifiable and consistent divergence between native populations and hatchery sources. Here, we apply these methods to restriction‐site associated DNA (RAD) data from 643 brook trout (Salvelinus fontinalis) originating from 13 wild populations and an exogenous hatchery strain to investigate the extent of historical extirpations, hatchery contributions, and processes affecting population structure in a small area of the previously unglaciated Driftless Area of Wisconsin, USA. The results from these analyses suggest that wild populations in this region are genetically distinct even at small spatial scales, lack strong hydrologically associated population structure, rarely exchange gene flow, and have small effective population sizes. Furthermore, wild populations are substantially diverged from known hatchery strains and show minimal evidence of introgression in clustering analyses. However, we demonstrate through empirically informed simulations that distinct wild populations may potentially be hatchery‐founded and have since diverged through rapid genetic drift. Collectively, the apparent lack of hydrological population structure and potential for rapid drift in the Driftless Area suggest that many native populations may have been historically extirpated and refounded by stocking events. If this is the case, then commonly used genomic clustering methods and their associated model selection criteria may result in underestimation of hatchery introgression in the face of rapid drift.
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spelling doaj-art-cd5fd915c5604259b6a03d1bb9abbff72025-01-29T07:57:46ZengWileyEvolutionary Applications1752-45712024-12-011712n/an/a10.1111/eva.70026Complications of Estimating Hatchery Introgression in the Face of Rapid Divergence: A Case Study in Brook Trout (Salvelinus fontinalis)Bradley Erdman0Wesley Larson1Matthew G. Mitro2Joanna D. T. Griffin3David Rowe4Justin Haglund5Kirk Olson6Michael T. Kinnison7School of Biology and Ecology, Ecology and Environmental Sciences Program University of Maine Orono Maine USAAuke Bay Laboratories, Alaska Fisheries Science Center, National Marine Fisheries Service National Oceanic and Atmospheric Administration Juneau Alaska USAWisconsin Department of Natural Resources Office of Applied Science Madison Wisconsin USAWisconsin Department of Natural Resources Bureau of Watershed Management Madison Wisconsin USAWisconsin Department of Natural Resources Bureau of Fisheries Management Fitchburg Wisconsin USAWisconsin Department of Natural Resources Bureau of Fisheries Management Dodgeville Wisconsin USAWisconsin Department of Natural Resources Bureau of Fisheries Management La Crosse Wisconsin USASchool of Biology and Ecology, Ecology and Environmental Sciences Program University of Maine Orono Maine USAABSTRACT Fish stocking has been utilized for over a century to offset extirpations or declines in abundance of many native species. These historical declines and hatchery contributions have led to uncertainty surrounding whether many contemporary populations are native, introgressed with hatchery sources, or entirely of hatchery origin. Such uncertainty is problematic for the conservation of native biodiversity as it hampers management agencies' ability to prioritize the conservation of indigenous locally adapted populations. Fortunately, genetic and genomic tools have allowed researchers to investigate these questions, often through the use of clustering or assignment approaches that are predicated on identifiable and consistent divergence between native populations and hatchery sources. Here, we apply these methods to restriction‐site associated DNA (RAD) data from 643 brook trout (Salvelinus fontinalis) originating from 13 wild populations and an exogenous hatchery strain to investigate the extent of historical extirpations, hatchery contributions, and processes affecting population structure in a small area of the previously unglaciated Driftless Area of Wisconsin, USA. The results from these analyses suggest that wild populations in this region are genetically distinct even at small spatial scales, lack strong hydrologically associated population structure, rarely exchange gene flow, and have small effective population sizes. Furthermore, wild populations are substantially diverged from known hatchery strains and show minimal evidence of introgression in clustering analyses. However, we demonstrate through empirically informed simulations that distinct wild populations may potentially be hatchery‐founded and have since diverged through rapid genetic drift. Collectively, the apparent lack of hydrological population structure and potential for rapid drift in the Driftless Area suggest that many native populations may have been historically extirpated and refounded by stocking events. If this is the case, then commonly used genomic clustering methods and their associated model selection criteria may result in underestimation of hatchery introgression in the face of rapid drift.https://doi.org/10.1111/eva.70026brook troutfisheries managementgenomicshatchery introgressionsalmonidsimulation
spellingShingle Bradley Erdman
Wesley Larson
Matthew G. Mitro
Joanna D. T. Griffin
David Rowe
Justin Haglund
Kirk Olson
Michael T. Kinnison
Complications of Estimating Hatchery Introgression in the Face of Rapid Divergence: A Case Study in Brook Trout (Salvelinus fontinalis)
Evolutionary Applications
brook trout
fisheries management
genomics
hatchery introgression
salmonid
simulation
title Complications of Estimating Hatchery Introgression in the Face of Rapid Divergence: A Case Study in Brook Trout (Salvelinus fontinalis)
title_full Complications of Estimating Hatchery Introgression in the Face of Rapid Divergence: A Case Study in Brook Trout (Salvelinus fontinalis)
title_fullStr Complications of Estimating Hatchery Introgression in the Face of Rapid Divergence: A Case Study in Brook Trout (Salvelinus fontinalis)
title_full_unstemmed Complications of Estimating Hatchery Introgression in the Face of Rapid Divergence: A Case Study in Brook Trout (Salvelinus fontinalis)
title_short Complications of Estimating Hatchery Introgression in the Face of Rapid Divergence: A Case Study in Brook Trout (Salvelinus fontinalis)
title_sort complications of estimating hatchery introgression in the face of rapid divergence a case study in brook trout salvelinus fontinalis
topic brook trout
fisheries management
genomics
hatchery introgression
salmonid
simulation
url https://doi.org/10.1111/eva.70026
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