Data from: Genetic analyses reveal complex dynamics within a marine fish management area ...
Genetic data have great potential for improving fisheries management by identifying the fundamental management units – i.e. the biological populations - and their mixing. However, so far the number of practical cases of marine fisheries management using genetics has been limited. Here, we used Atlan...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Dataset |
| Language: | English |
| Published: |
Dryad
2018
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.83765sm https://datadryad.org/stash/dataset/doi:10.5061/dryad.83765sm |
| Summary: | Genetic data have great potential for improving fisheries management by identifying the fundamental management units – i.e. the biological populations - and their mixing. However, so far the number of practical cases of marine fisheries management using genetics has been limited. Here, we used Atlantic cod in the Baltic Sea to demonstrate the applicability of genetics to a complex management scenario involving mixing of two genetically divergent populations. Specifically, we addressed several assumptions used in the current assessment of the two populations. Through analysis of 483 single nucleotide polymorphisms (SNPs) distributed across the Atlantic cod genome we confirmed that a model of mechanical mixing, rather than hybridization and introgression, best explained the pattern of genetic differentiation. Thus, the fishery is best monitored as a mixed-stock fishery. Next, we developed a targeted panel of 39 SNPs with high statistical power for identifying population of origin and analysed more than 2000 ... : Genotypes and biological dataGenotypes and biological data. Genotypes are coded with three digit alleles.Dryad_data.xlsx ... |
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