ArticleEvolutionary applications2019
Genetic analyses reveal complex dynamics within a marine fish management area.
Article in Evolutionary applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Coexisting Atlantic Cod Ecotypes in the Barents Sea: An Issue for Managing Fisheries.Evolutionary applications · 2026Article
- Patterns of Population Genomic Variation and Evolutionary History of European Hake in the Northeastern Atlantic.Ecology and evolution · 2026Article
- An Evolutionary Mosaic Challenges Traditional Monitoring of a Foundation Species in a Coastal Environment-The Baltic Fucus vesiculosus.Molecular ecology · 2025Article
- Management and conservation implications of cryptic population substructure for two commercially exploited fishes (Merluccius spp.) in southern Africa.Molecular ecology resources · 2025Article
- Genomic evidence for fisheries-induced evolution in Eastern Baltic cod.Science advances · 2025Article
- Article
- Evidence of hybridization between genetically distinct Baltic cod stocks during peak population abundance(s).Evolutionary applications · 2023Article
- Seals, fish, humans and parasites in the Baltic: ecology, evolution and history.Folia parasitologica · 2023Article
- Single Nucleotide Polymorphism Markers with Applications in Conservation and Exploitation of Aquatic Natural Populations.Animals : an open access journal from MDPI · 2023Review
- Ten years of marine evolutionary biology-Challenges and achievements of a multidisciplinary research initiative.Evolutionary applications · 2023Article
- Genomic microsatellite characteristics analysis ofBiodiversity data journal · 2023Article
- Global, regional, and cryptic population structure in a high gene-flow transatlantic fish.PloS one · 2023Article
- Eyes and ears: A comparative approach linking the chemical composition of cod otoliths and eye lenses.Journal of fish biology · 2022Article
- A baseline for the genetic stock identification of Atlantic herring,Royal Society open science · 2022Article
- Living apart together: Long-term coexistence of Baltic cod stocks associated with depth-specific habitat use.PloS one · 2022Article
- Genome-wide analysis reveals the genetic stock structure of hoki (Evolutionary applications · 2021Article
- Genetic analysis redraws the management boundaries for the European sprat.Evolutionary applications · 2020Article
- SNP genotyping reveals substructuring in weakly differentiated populations of Atlantic cod (Gadus morhua) from diverse environments in the Baltic Sea.Scientific reports · 2020Article
- Genetic analysis provides insights into species distribution and population structure in East Atlantic horse mackerel (Trachurus trachurus and T. capensis).Journal of fish biology · 2020Article
- Weak genetic structure despite strong genomic signal in lesser sandeel in the North Sea.Evolutionary applications · 2020Article
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17 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Genetic data have great potential for improving fisheries management by identifying the fundamental management units-that is, 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 analyzed more than 2,000 tissue samples collected between 2011 and 2015 as well as 260 otoliths collected in 2003/2004. These data provided high spatial resolution and allowed us to investigate geographical trends in mixing, to compare patterns for different life stages and to investigate temporal trends in mixing. We found similar geographical trends for the two time points represented by tissue and otolith samples and that a recently implemented geographical management separation of the two populations provided a relatively close match to their distributions. In contrast to the current assumption, we found that patterns of mixing differed between juveniles and adults, a signal likely linked to the different reproductive dynamics of the two populations. Collectively, our data confirm that genetics is an operational tool for complex fisheries management applications. We recommend focussing on developing population assessment models and fisheries management frameworks to capitalize fully on the additional information offered by genetically assisted fisheries monitoring.
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