Genetic analyses reveal complex dynamics within a marine fish management area

Jakob Hemmer Hansen*, Karin Hüssy, Henrik Baktoft, Bastian Huwer, Dorte Bekkevold, Holger Haslob, Jens-Peter Herrmann, Hans-Harald Hinrichsen, Uwe Krumme, Henrik Mosegaard, Einar Eg Nielsen, Thorsten B. H. Reusch, Marie Storr-Paulsen, Andres Velasco, Burkhard von Dewitz, Jan Dierking, Margit Eero

*Corresponding author for this work

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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.
Original languageEnglish
JournalEvolutionary Applications
Volume12
Pages (from-to)830-844
ISSN1752-4563
DOIs
Publication statusPublished - 2018

Keywords

  • Atlantic cod (Gadus morhua)
  • conservation
  • evolution
  • fisheries management
  • genetics
  • genomics
  • marine fishes

Cite this

Hansen, Jakob Hemmer ; Hüssy, Karin ; Baktoft, Henrik ; Huwer, Bastian ; Bekkevold, Dorte ; Haslob, Holger ; Herrmann, Jens-Peter ; Hinrichsen, Hans-Harald ; Krumme, Uwe ; Mosegaard, Henrik ; Eg Nielsen, Einar ; Reusch, Thorsten B. H. ; Storr-Paulsen, Marie ; Velasco, Andres ; von Dewitz, Burkhard ; Dierking, Jan ; Eero, Margit. / Genetic analyses reveal complex dynamics within a marine fish management area. In: Evolutionary Applications. 2018 ; Vol. 12. pp. 830-844.
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title = "Genetic analyses reveal complex dynamics within a marine fish management area",
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.",
keywords = "Atlantic cod (Gadus morhua), conservation, evolution, fisheries management, genetics, genomics, marine fishes",
author = "Hansen, {Jakob Hemmer} and Karin H{\"u}ssy and Henrik Baktoft and Bastian Huwer and Dorte Bekkevold and Holger Haslob and Jens-Peter Herrmann and Hans-Harald Hinrichsen and Uwe Krumme and Henrik Mosegaard and {Eg Nielsen}, Einar and Reusch, {Thorsten B. H.} and Marie Storr-Paulsen and Andres Velasco and {von Dewitz}, Burkhard and Jan Dierking and Margit Eero",
year = "2018",
doi = "10.1111/eva.12760",
language = "English",
volume = "12",
pages = "830--844",
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Genetic analyses reveal complex dynamics within a marine fish management area. / Hansen, Jakob Hemmer; Hüssy, Karin; Baktoft, Henrik; Huwer, Bastian; Bekkevold, Dorte; Haslob, Holger; Herrmann, Jens-Peter; Hinrichsen, Hans-Harald; Krumme, Uwe; Mosegaard, Henrik; Eg Nielsen, Einar; Reusch, Thorsten B. H.; Storr-Paulsen, Marie; Velasco, Andres; von Dewitz, Burkhard; Dierking, Jan; Eero, Margit.

In: Evolutionary Applications, Vol. 12, 2018, p. 830-844.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Genetic analyses reveal complex dynamics within a marine fish management area

AU - Hansen, Jakob Hemmer

AU - Hüssy, Karin

AU - Baktoft, Henrik

AU - Huwer, Bastian

AU - Bekkevold, Dorte

AU - Haslob, Holger

AU - Herrmann, Jens-Peter

AU - Hinrichsen, Hans-Harald

AU - Krumme, Uwe

AU - Mosegaard, Henrik

AU - Eg Nielsen, Einar

AU - Reusch, Thorsten B. H.

AU - Storr-Paulsen, Marie

AU - Velasco, Andres

AU - von Dewitz, Burkhard

AU - Dierking, Jan

AU - Eero, Margit

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Atlantic cod (Gadus morhua)

KW - conservation

KW - evolution

KW - fisheries management

KW - genetics

KW - genomics

KW - marine fishes

U2 - 10.1111/eva.12760

DO - 10.1111/eva.12760

M3 - Journal article

VL - 12

SP - 830

EP - 844

JO - Evolutionary Applications (Online)

JF - Evolutionary Applications (Online)

SN - 1752-4563

ER -