Data from: Genotyping-by-sequencing of genome-wide microsatellite loci reveals fine-scale harvest composition in a coastal Atlantic salmon fishery
Individual assignment and genetic mixture analysis are commonly utilized in contemporary wildlife and fisheries management. Although microsatellite loci provide unparalleled numbers of alleles per locus, their use in assignment applications is increasingly limited. However, next-generation sequencin...
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ftdryad:oai:v1.datadryad.org:10255/dryad.170105 2023-05-15T15:29:29+02:00 Data from: Genotyping-by-sequencing of genome-wide microsatellite loci reveals fine-scale harvest composition in a coastal Atlantic salmon fishery Bradbury, Ian R. Wringe, Brendan F. Watson, Beth Paterson, Ian Horne, John Beiko, Robert Lehnert, Sarah J. Clément, Marie Anderson, Eric C. Jeffery, Nicholas W. Duffy, Steven Sylvester, Emma Robertson, Martha Bentzen, Paul Labrador Canada 2018-01-29T16:46:43Z http://hdl.handle.net/10255/dryad.170105 https://doi.org/10.5061/dryad.864rv unknown doi:10.5061/dryad.864rv/1 doi:10.1111/eva.12606 doi:10.5061/dryad.864rv Bradbury IR, Wringe BF, Watson B, Paterson I, Horne J, Beiko R, Lehnert SJ, Clément M, Anderson EC, Jeffery NW, Duffy S, Sylvester E, Robertson M, Bentzen P (2018) Genotyping-by-sequencing of genome-wide microsatellite loci reveals fine-scale harvest composition in a coastal Atlantic salmon fishery. Evolutionary Applications 11(6): 918-930. http://hdl.handle.net/10255/dryad.170105 Conservation Genetics Next-generation Sequencing Microsatellite Mixed-stock analysis Fisheries Management Genetic assignment Article 2018 ftdryad https://doi.org/10.5061/dryad.864rv https://doi.org/10.5061/dryad.864rv/1 https://doi.org/10.1111/eva.12606 2020-01-01T16:04:02Z Individual assignment and genetic mixture analysis are commonly utilized in contemporary wildlife and fisheries management. Although microsatellite loci provide unparalleled numbers of alleles per locus, their use in assignment applications is increasingly limited. However, next-generation sequencing, in conjunction with novel bioinformatic tools allows large numbers of microsatellite loci to be simultaneously genotyped, presenting new opportunities for individual assignment and genetic mixture analysis. Here we scanned the published Atlantic salmon genome to identify 706 microsatellite loci, from which we developed a final panel of 101 microsatellites distributed across the genome (average 3.4 loci per chromosome). Using samples from 35 Atlantic salmon populations (n=1485 individuals) from coastal Labrador, Canada, a region characterized by low levels of differentiation in this species, this panel identified 844 alleles (average of 8.4 alleles per locus). Simulation-based evaluations of assignment and mixture identification accuracy revealed unprecedented resolution, clearly identifying 26 rivers or groups of rivers spanning 500 km of coastline. This baseline was used to examine the stock composition of 696 individuals harvested in the Labrador Atlantic salmon fishery and revealed that coastal fisheries largely targeted regional groups (<300km). This work suggests that the development and application of large sequenced microsatellite panels presents great potential for stock resolution in Atlantic salmon and more broadly in other exploited anadromous and marine species. Article in Journal/Newspaper Atlantic salmon Dryad Digital Repository (Duke University) Canada |
institution |
Open Polar |
collection |
Dryad Digital Repository (Duke University) |
op_collection_id |
ftdryad |
language |
unknown |
topic |
Conservation Genetics Next-generation Sequencing Microsatellite Mixed-stock analysis Fisheries Management Genetic assignment |
spellingShingle |
Conservation Genetics Next-generation Sequencing Microsatellite Mixed-stock analysis Fisheries Management Genetic assignment Bradbury, Ian R. Wringe, Brendan F. Watson, Beth Paterson, Ian Horne, John Beiko, Robert Lehnert, Sarah J. Clément, Marie Anderson, Eric C. Jeffery, Nicholas W. Duffy, Steven Sylvester, Emma Robertson, Martha Bentzen, Paul Data from: Genotyping-by-sequencing of genome-wide microsatellite loci reveals fine-scale harvest composition in a coastal Atlantic salmon fishery |
topic_facet |
Conservation Genetics Next-generation Sequencing Microsatellite Mixed-stock analysis Fisheries Management Genetic assignment |
description |
Individual assignment and genetic mixture analysis are commonly utilized in contemporary wildlife and fisheries management. Although microsatellite loci provide unparalleled numbers of alleles per locus, their use in assignment applications is increasingly limited. However, next-generation sequencing, in conjunction with novel bioinformatic tools allows large numbers of microsatellite loci to be simultaneously genotyped, presenting new opportunities for individual assignment and genetic mixture analysis. Here we scanned the published Atlantic salmon genome to identify 706 microsatellite loci, from which we developed a final panel of 101 microsatellites distributed across the genome (average 3.4 loci per chromosome). Using samples from 35 Atlantic salmon populations (n=1485 individuals) from coastal Labrador, Canada, a region characterized by low levels of differentiation in this species, this panel identified 844 alleles (average of 8.4 alleles per locus). Simulation-based evaluations of assignment and mixture identification accuracy revealed unprecedented resolution, clearly identifying 26 rivers or groups of rivers spanning 500 km of coastline. This baseline was used to examine the stock composition of 696 individuals harvested in the Labrador Atlantic salmon fishery and revealed that coastal fisheries largely targeted regional groups (<300km). This work suggests that the development and application of large sequenced microsatellite panels presents great potential for stock resolution in Atlantic salmon and more broadly in other exploited anadromous and marine species. |
format |
Article in Journal/Newspaper |
author |
Bradbury, Ian R. Wringe, Brendan F. Watson, Beth Paterson, Ian Horne, John Beiko, Robert Lehnert, Sarah J. Clément, Marie Anderson, Eric C. Jeffery, Nicholas W. Duffy, Steven Sylvester, Emma Robertson, Martha Bentzen, Paul |
author_facet |
Bradbury, Ian R. Wringe, Brendan F. Watson, Beth Paterson, Ian Horne, John Beiko, Robert Lehnert, Sarah J. Clément, Marie Anderson, Eric C. Jeffery, Nicholas W. Duffy, Steven Sylvester, Emma Robertson, Martha Bentzen, Paul |
author_sort |
Bradbury, Ian R. |
title |
Data from: Genotyping-by-sequencing of genome-wide microsatellite loci reveals fine-scale harvest composition in a coastal Atlantic salmon fishery |
title_short |
Data from: Genotyping-by-sequencing of genome-wide microsatellite loci reveals fine-scale harvest composition in a coastal Atlantic salmon fishery |
title_full |
Data from: Genotyping-by-sequencing of genome-wide microsatellite loci reveals fine-scale harvest composition in a coastal Atlantic salmon fishery |
title_fullStr |
Data from: Genotyping-by-sequencing of genome-wide microsatellite loci reveals fine-scale harvest composition in a coastal Atlantic salmon fishery |
title_full_unstemmed |
Data from: Genotyping-by-sequencing of genome-wide microsatellite loci reveals fine-scale harvest composition in a coastal Atlantic salmon fishery |
title_sort |
data from: genotyping-by-sequencing of genome-wide microsatellite loci reveals fine-scale harvest composition in a coastal atlantic salmon fishery |
publishDate |
2018 |
url |
http://hdl.handle.net/10255/dryad.170105 https://doi.org/10.5061/dryad.864rv |
op_coverage |
Labrador Canada |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_relation |
doi:10.5061/dryad.864rv/1 doi:10.1111/eva.12606 doi:10.5061/dryad.864rv Bradbury IR, Wringe BF, Watson B, Paterson I, Horne J, Beiko R, Lehnert SJ, Clément M, Anderson EC, Jeffery NW, Duffy S, Sylvester E, Robertson M, Bentzen P (2018) Genotyping-by-sequencing of genome-wide microsatellite loci reveals fine-scale harvest composition in a coastal Atlantic salmon fishery. Evolutionary Applications 11(6): 918-930. http://hdl.handle.net/10255/dryad.170105 |
op_doi |
https://doi.org/10.5061/dryad.864rv https://doi.org/10.5061/dryad.864rv/1 https://doi.org/10.1111/eva.12606 |
_version_ |
1766359898580320256 |