ctenolabrus rupestris
Recently Published Documents


TOTAL DOCUMENTS

42
(FIVE YEARS 6)

H-INDEX

12
(FIVE YEARS 0)

2021 ◽  
Author(s):  
Alessandro Cresci ◽  
Torkel Larsen ◽  
Kim T. Halvorsen ◽  
Caroline M. F. Durif ◽  
Reidun Bjelland ◽  
...  

2021 ◽  
Vol 8 ◽  
Author(s):  
Even Moland ◽  
Albert Fernández-Chacón ◽  
Tonje Knutsen Sørdalen ◽  
David Villegas-Ríos ◽  
Susanna Huneide Thorbjørnsen ◽  
...  

This article reviews a suite of studies conducted in a network of coastal Marine Protected Areas (MPAs) in Skagerrak, Southeast Norway. In 2006, Norway’s first lobster reserves were implemented, with the aim of protecting European lobster (Homarus gammarus) through a ban on fixed gear. A before–after control-impact paired series (BACIPS) monitoring program was initiated to evaluate effects of protection on depleted lobster populations. Experimental trapping and capture-recapture techniques were combined to track demography of populations, also including movement of individuals within and beyond MPAs and adjacent control areas. Further, population genetics and parentage studies were applied, allowing for estimation of gene flow, and novel work on sexual selection in lobsters. Additional studies have evaluated MPA effects on coastal cod (Gadus morhua), and on commercially harvested labrids (Ctenolabrus rupestris and Symphodus melops) and anadromous brown trout (Salmo trutta). Together, these studies reported effects of protection pertaining to increased population density, survival, body size and phenotypic diversity, changes in emigration and interaction with surrounding fisheries, and alteration of selection pressure on morphological- and behavioral traits. Designation of MPAs in close collaboration with fishers and managers, long-term monitoring, inclusion of citizen science and evolving research protocols—also including fisheries data—have revealed novel effects of protection and harvesting on marine populations, thus providing substantial contributions to conservation science. Moreover, knowledge of MPA effects on coastal species has impacted harvest regulations showing the utility of MPAs as empirically documented management tools in Norway.


BMC Genetics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Eeva Jansson ◽  
Francois Besnier ◽  
Ketil Malde ◽  
Carl André ◽  
Geir Dahle ◽  
...  

Abstract Background Marine fish populations are often characterized by high levels of gene flow and correspondingly low genetic divergence. This presents a challenge to define management units. Goldsinny wrasse (Ctenolabrus rupestris) is a heavily exploited species due to its importance as a cleaner-fish in commercial salmonid aquaculture. However, at the present, the population genetic structure of this species is still largely unresolved. Here, full-genome sequencing was used to produce the first genomic reference for this species, to study population-genomic divergence among four geographically distinct populations, and, to identify informative SNP markers for future studies. Results After construction of a de novo assembly, the genome was estimated to be highly polymorphic and of ~600Mbp in size. 33,235 SNPs were thereafter selected to assess genomic diversity and differentiation among four populations collected from Scandinavia, Scotland, and Spain. Global FST among these populations was 0.015–0.092. Approximately 4% of the investigated loci were identified as putative global outliers, and ~ 1% within Scandinavia. SNPs showing large divergence (FST > 0.15) were picked as candidate diagnostic markers for population assignment. One hundred seventy-three of the most diagnostic SNPs between the two Scandinavian populations were validated by genotyping 47 individuals from each end of the species’ Scandinavian distribution range. Sixty-nine of these SNPs were significantly (p < 0.05) differentiated (mean FST_173_loci = 0.065, FST_69_loci = 0.140). Using these validated SNPs, individuals were assigned with high probability (≥ 94%) to their populations of origin. Conclusions Goldsinny wrasse displays a highly polymorphic genome, and substantial population genomic structure. Diversifying selection likely affects population structuring globally and within Scandinavia. The diagnostic loci identified now provide a promising and cost-efficient tool to investigate goldsinny wrasse populations further.


2020 ◽  
Author(s):  
Eeva Jansson ◽  
Francois Besnier ◽  
Ketil Malde ◽  
Carl André ◽  
Geir Dahle ◽  
...  

Abstract Background: Marine fish populations are often characterized by high levels of gene flow and correspondingly low genetic divergence. This presents a challenge to define management units. Goldsinny wrasse (Ctenolabrus rupestris) is a heavily exploited species due to its importance as a cleaner-fish in commercial salmonid aquaculture. However, at the present, the population genetic structure of this species is still largely unresolved. Here, full-genome sequencing was used to produce the first genomic reference for this species, to study population-genomic divergence among four geographically distinct populations, and, to identify informative SNP markers for future studies. Results: After construction of a de novo assembly, the genome was estimated to be highly polymorphic and of ~600Mbp in size. 33 235 SNPs were thereafter selected to assess genomic diversity and differentiation among four populations collected from Scandinavia, Scotland, and Spain. Global FST among these populations was 0.015–0.092. Approximately 4% of the investigated loci were identified as putative global outliers, and ~1% within Scandinavia. SNPs showing large divergence (FST>0.15) were picked as candidate diagnostic markers for population assignment. 173 of the most diagnostic SNPs between the two Scandinavian populations were validated by genotyping 47 individuals from each end of the species’ Scandinavian distribution range. 69 of these SNPs were significantly (p<0.05) differentiated (mean FST_173_loci=0.065, FST_69_loci=0.140). Using these validated SNPs, individuals were assigned with high probability (≥ 94%) to their populations of origin.Conclusions: Goldsinny wrasse displays a highly polymorphic genome, and substantial population genomic structure. Diversifying selection likely affects population structuring globally and within Scandinavia. The diagnostic loci identified now provide a promising and cost-efficient tool to investigate goldsinny wrasse populations further.


2020 ◽  
Author(s):  
Eeva Jansson ◽  
Francois Besnier ◽  
Ketil Malde ◽  
Carl André ◽  
Geir Dahle ◽  
...  

Abstract Background Marine fish populations are often characterized by high levels of gene flow and correspondingly low genetic divergence. This presents a challenge to define management units. Goldsinny wrasse ( Ctenolabrus rupestris ) is a heavily exploited species due to its importance as a cleaner-fish in commercial salmonid aquaculture. However, at the present, the population genetic structure of this species is still largely unresolved. Here, full-genome sequencing was used to produce the first genomic reference for this species, to study population-genomic divergence among four geographically distinct populations, and, to identify informative SNP markers for future studies. Results After construction of a de novo assembly, the genome was estimated to be highly polymorphic and of ~600Mbp in size. 33 235 genome wide SNPs were thereafter selected to assess genomic diversity and differentiation among four populations collected from Scandinavia, Scotland, and Spain. Global F ST among these populations was 0.015–0.092. Approximately 4% of the investigated loci were identified as putative global outliers, and ~1% within Scandinavia. SNPs showing large divergence ( F ST >0.15) were picked as candidate diagnostic markers for population assignment. 173 of the most diagnostic SNPs between the two Scandinavian populations were validated by genotyping 47 individuals from each end of the species’ Scandinavian distribution range. 69 of these SNPs were significantly ( p <0.05) differentiated (mean F ST_173_loci = 0.065, F ST_69_loci = 0.140). Using these validated SNPs, individuals were assigned with high probability (≥ 94%) to their populations of origin. Conclusions Goldsinny wrasse displays a highly polymorphic genome, and substantial population genomic structure. Diversifying selection likely affects population structuring globally and within Scandinavia. The diagnostic loci identified now provide a promising and cost-efficient tool to investigate goldsinny wrasse populations further.


2018 ◽  
Vol 76 (1) ◽  
pp. 357-357 ◽  
Author(s):  
Esben Moland Olsen ◽  
Kim Tallaksen Halvorsen ◽  
Torkel Larsen ◽  
Anna Kuparinen

2018 ◽  
Vol 76 (2) ◽  
pp. 410-417 ◽  
Author(s):  
Esben Moland Olsen ◽  
Kim Tallaksen Halvorsen ◽  
Torkel Larsen ◽  
Anna Kuparinen

Abstract Small-bodied wrasse species are important for structuring coastal marine ecosystems but are also increasingly harvested as parasite cleaners on farmed salmon. Identifying management regulations that will support long-term sustainability of wrasse fisheries is challenging, because there is still limited knowledge about the impacts of fisheries on the demography of these intermediate predators in their natural environments. To this end, we studied individual growth histories of goldsinny wrasse (Ctenolabrus rupestris) at a fine spatial scale across replicated marine protected areas (MPAs) and areas open to commercial harvesting on the Norwegian coast. The MPAs were established 1–7 years prior to our sampling. We detected significant fine-scale spatial variation in wrasse asymptotic body size, but found no consistent difference between MPAs and fished areas. Male wrasses reached larger asymptotic body sizes than females, whereas fyke nets captured individuals with larger asymptotic body sizes compared with baited traps. These are the two commonly used gear types in wrasse fisheries. An extended use of baited traps, along with slot-size limits, could therefore aid in protecting large-growing phenotypes such as nest-guarding males.


2016 ◽  
Vol 24 (5) ◽  
pp. 1509-1521 ◽  
Author(s):  
Albert K. Imsland ◽  
Patrick Reynolds ◽  
Gerhard Eliassen ◽  
Thor A. Hangstad ◽  
Ólöf D. B. Jónsdóttir ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document