Mixed‐stock analysis using Rapture genotyping to evaluate stock‐specific exploitation of a walleye population despite weak genetic structure
Abstract Mixed‐stock analyses using genetic markers have informed fisheries management in cases where strong genetic differentiation occurs among local spawning populations, yet many fisheries are supported by multiple, weakly differentiated stocks. Freshwater fisheries exemplify this problem, with...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-05-01
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| Series: | Evolutionary Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/eva.13209 |
| _version_ | 1819081294588411904 |
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| author | Peter T. Euclide Tom MacDougall Jason M. Robinson Matthew D. Faust Chris C. Wilson Kuan‐Yu Chen Elizabeth A. Marschall Wesley Larson Stuart Ludsin |
| author_facet | Peter T. Euclide Tom MacDougall Jason M. Robinson Matthew D. Faust Chris C. Wilson Kuan‐Yu Chen Elizabeth A. Marschall Wesley Larson Stuart Ludsin |
| author_sort | Peter T. Euclide |
| collection | DOAJ |
| description | Abstract Mixed‐stock analyses using genetic markers have informed fisheries management in cases where strong genetic differentiation occurs among local spawning populations, yet many fisheries are supported by multiple, weakly differentiated stocks. Freshwater fisheries exemplify this problem, with many populations supported by multiple stocks of young evolutionary age and isolated across small spatial scales. Consequently, attempts to conduct genetic mixed‐stock analyses of inland fisheries have often been unsuccessful. Advances in genomic sequencing offer the ability to discriminate among populations with weak population structure, providing the necessary resolution to conduct mixed‐stock assignment among previously indistinguishable stocks. We used genomic data to conduct a mixed‐stock analysis of eastern Lake Erie's commercial and recreational walleye (Sander vitreus) fisheries and estimate the relative harvest of weakly differentiated stocks (pairwise FST < 0.01). Using RAD‐capture (Rapture), we sequenced and genotyped individuals from western and eastern basin local spawning stocks at 12,081 loci with 95% reassignment accuracy, which was not possible in the past using microsatellite markers. A baseline assessment of 395 walleye from 11 spawning stocks identified three reporting groups and refined previous assessments of gene flow among walleye stocks. Genetic assignment of 1,075 walleye harvested in eastern Lake Erie's recreational and commercial fisheries indicated that western basin stocks constituted the majority of harvest during the peak walleye fishing season (July–September), whereas eastern basin individuals comprised much of the early season harvest (May–June). Clear spatial structure in harvest composition existed; catches in more easterly sites contained more individuals of eastern basin origin than did more westerly sites. Our study provides important stock contribution estimates for Lake Erie fishery management and demonstrates the utility of genomic data to facilitate mixed‐stock analysis in exploited fish populations having weak population structure or limited existing genetic resources. |
| first_indexed | 2024-12-21T19:58:30Z |
| format | Article |
| id | doaj.art-af56fe1fe53e4015b0b2fc8d10e7ef4f |
| institution | Directory Open Access Journal |
| issn | 1752-4571 |
| language | English |
| last_indexed | 2024-12-21T19:58:30Z |
| publishDate | 2021-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Evolutionary Applications |
| spelling | doaj.art-af56fe1fe53e4015b0b2fc8d10e7ef4f2022-12-21T18:52:02ZengWileyEvolutionary Applications1752-45712021-05-011451403142010.1111/eva.13209Mixed‐stock analysis using Rapture genotyping to evaluate stock‐specific exploitation of a walleye population despite weak genetic structurePeter T. Euclide0Tom MacDougall1Jason M. Robinson2Matthew D. Faust3Chris C. Wilson4Kuan‐Yu Chen5Elizabeth A. Marschall6Wesley Larson7Stuart Ludsin8Wisconsin Cooperative Fishery Research Unit, College of Natural Resources University of Wisconsin‐Stevens Point Stevens Point WI USALake Erie Management Unit Ontario Ministry of Natural Resources and Forestry Port Dover ON CanadaLake Erie Fisheries Research Unit New York State Department of Environmental Conservation Dunkirk NY USADivision of Wildlife, Sandusky Fisheries Research Station Ohio Department of Natural Resources Sandusky OH USAAquatic Research and Monitoring Section Ontario Ministry of Natural Resources and Forestry Peterborough ON CanadaAquatic Ecology Laboratory, Department of Evolution, Ecology, and Organismal Biology The Ohio State University Columbus OH USAAquatic Ecology Laboratory, Department of Evolution, Ecology, and Organismal Biology The Ohio State University Columbus OH USAU.S. Geological Survey, Wisconsin Cooperative Fishery Research Unit, College of Natural Resources University of Wisconsin‐Stevens Point Stevens Point WI USAAquatic Ecology Laboratory, Department of Evolution, Ecology, and Organismal Biology The Ohio State University Columbus OH USAAbstract Mixed‐stock analyses using genetic markers have informed fisheries management in cases where strong genetic differentiation occurs among local spawning populations, yet many fisheries are supported by multiple, weakly differentiated stocks. Freshwater fisheries exemplify this problem, with many populations supported by multiple stocks of young evolutionary age and isolated across small spatial scales. Consequently, attempts to conduct genetic mixed‐stock analyses of inland fisheries have often been unsuccessful. Advances in genomic sequencing offer the ability to discriminate among populations with weak population structure, providing the necessary resolution to conduct mixed‐stock assignment among previously indistinguishable stocks. We used genomic data to conduct a mixed‐stock analysis of eastern Lake Erie's commercial and recreational walleye (Sander vitreus) fisheries and estimate the relative harvest of weakly differentiated stocks (pairwise FST < 0.01). Using RAD‐capture (Rapture), we sequenced and genotyped individuals from western and eastern basin local spawning stocks at 12,081 loci with 95% reassignment accuracy, which was not possible in the past using microsatellite markers. A baseline assessment of 395 walleye from 11 spawning stocks identified three reporting groups and refined previous assessments of gene flow among walleye stocks. Genetic assignment of 1,075 walleye harvested in eastern Lake Erie's recreational and commercial fisheries indicated that western basin stocks constituted the majority of harvest during the peak walleye fishing season (July–September), whereas eastern basin individuals comprised much of the early season harvest (May–June). Clear spatial structure in harvest composition existed; catches in more easterly sites contained more individuals of eastern basin origin than did more westerly sites. Our study provides important stock contribution estimates for Lake Erie fishery management and demonstrates the utility of genomic data to facilitate mixed‐stock analysis in exploited fish populations having weak population structure or limited existing genetic resources.https://doi.org/10.1111/eva.13209genetic stock identificationfisheries managementGreat LakesPortfolio theoryRAD‐captureRAD‐seq |
| spellingShingle | Peter T. Euclide Tom MacDougall Jason M. Robinson Matthew D. Faust Chris C. Wilson Kuan‐Yu Chen Elizabeth A. Marschall Wesley Larson Stuart Ludsin Mixed‐stock analysis using Rapture genotyping to evaluate stock‐specific exploitation of a walleye population despite weak genetic structure Evolutionary Applications genetic stock identification fisheries management Great Lakes Portfolio theory RAD‐capture RAD‐seq |
| title | Mixed‐stock analysis using Rapture genotyping to evaluate stock‐specific exploitation of a walleye population despite weak genetic structure |
| title_full | Mixed‐stock analysis using Rapture genotyping to evaluate stock‐specific exploitation of a walleye population despite weak genetic structure |
| title_fullStr | Mixed‐stock analysis using Rapture genotyping to evaluate stock‐specific exploitation of a walleye population despite weak genetic structure |
| title_full_unstemmed | Mixed‐stock analysis using Rapture genotyping to evaluate stock‐specific exploitation of a walleye population despite weak genetic structure |
| title_short | Mixed‐stock analysis using Rapture genotyping to evaluate stock‐specific exploitation of a walleye population despite weak genetic structure |
| title_sort | mixed stock analysis using rapture genotyping to evaluate stock specific exploitation of a walleye population despite weak genetic structure |
| topic | genetic stock identification fisheries management Great Lakes Portfolio theory RAD‐capture RAD‐seq |
| url | https://doi.org/10.1111/eva.13209 |
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