Replication Data for: Going with the flow - population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway

The dataset contains individual diploid genotypes for 11 microsatellite markers screened in 21 population samples of the seaweed Saccharina latissima along the coast of Norway between August 2016 and June 2018. The data is associated with the article: Ribeiro PA, Næss, T, Dahle G, Asplin L, Meland K...

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Main Authors: Ribeiro, Pedro A., Sjøtun, Kjersti
Format: Dataset
Language:unknown
Published: 2022
Subjects:
Online Access:https://search.dataone.org/view/sha256:05b86618b9c85a26fe4128727f24cb68e446d637e8499d8eaa02fdfc7668991b
id dataone:sha256:05b86618b9c85a26fe4128727f24cb68e446d637e8499d8eaa02fdfc7668991b
record_format openpolar
spelling dataone:sha256:05b86618b9c85a26fe4128727f24cb68e446d637e8499d8eaa02fdfc7668991b 2024-06-03T18:46:58+00:00 Replication Data for: Going with the flow - population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway Ribeiro, Pedro A. Sjøtun, Kjersti BEGINDATE: 2016-08-01T00:00:00Z ENDDATE: 2018-06-01T00:00:00Z 2022-05-06T00:00:00Z https://search.dataone.org/view/sha256:05b86618b9c85a26fe4128727f24cb68e446d637e8499d8eaa02fdfc7668991b unknown Norway sugar kelp marine biology Earth and Environmental Sciences kelp Algae Microsatellites genotype Saccharina latissima Dataset 2022 dataone:urn:node:DVNO 2024-06-03T18:18:27Z The dataset contains individual diploid genotypes for 11 microsatellite markers screened in 21 population samples of the seaweed Saccharina latissima along the coast of Norway between August 2016 and June 2018. The data is associated with the article: Ribeiro PA, Næss, T, Dahle G, Asplin L, Meland K, Fredriksen S, Sjøtun K (2022). Going with the flow – population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway. Frontiers in Marine Science (submitted for review). Article abstract: Saccharina latissima is the most important habitat-forming kelp in sheltered areas of North-Atlantic, and there is also an increasing interest in cultivation and utilization of S. latissima. The cultivation activity may introduce a risk of “crop-to-wild” gene flow from the cultivated crops to natural populations. A baseline study to examine genetic structure and gene flow in S. latissima along the Norwegian coast was therefore done. Microsatellite analyses was carried out on samples from 21 stations, where 12 were in the coastal area from outer Oslofjord in the south to Porsanger in North-Norway, and 9 in the two longest fjords of Norway, Hardangerfjord and Sognefjord. In addition, a hydrographical model was applied, simulating the direction and potential rate of spore dispersal along the coast during the main period of spore release. The results showed a clear isolation by distance pattern along the coast, good connectivity and little genetic structure, except for a reduced connectivity between South- and North-Norway, probably due to the Lofoten archipelago representing a partial barrier for the northward dispersal of spores. In addition, indications of reduced connectivity between coastal stations and the innermost fjord stations were found. Analysing the material with and without one locus potentially under positive selection suggests some degree of genetic adaptation of sugar kelp populations in the Skagerrak area and in the two fjords. The results suggest that genetic connectivity between populations on the coast is strongly influenced by the Norwegian Coastal current. Dataset Lofoten North Atlantic North Norway Unknown Dahle ENVELOPE(15.958,15.958,69.102,69.102) Fredriksen ENVELOPE(-45.000,-45.000,-60.733,-60.733) Lofoten Meland ENVELOPE(8.667,8.667,63.317,63.317) Norway Porsanger ENVELOPE(24.956,24.956,70.052,70.052)
institution Open Polar
collection Unknown
op_collection_id dataone:urn:node:DVNO
language unknown
topic Norway
sugar kelp
marine biology
Earth and Environmental Sciences
kelp
Algae
Microsatellites
genotype
Saccharina latissima
spellingShingle Norway
sugar kelp
marine biology
Earth and Environmental Sciences
kelp
Algae
Microsatellites
genotype
Saccharina latissima
Ribeiro, Pedro A.
Sjøtun, Kjersti
Replication Data for: Going with the flow - population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway
topic_facet Norway
sugar kelp
marine biology
Earth and Environmental Sciences
kelp
Algae
Microsatellites
genotype
Saccharina latissima
description The dataset contains individual diploid genotypes for 11 microsatellite markers screened in 21 population samples of the seaweed Saccharina latissima along the coast of Norway between August 2016 and June 2018. The data is associated with the article: Ribeiro PA, Næss, T, Dahle G, Asplin L, Meland K, Fredriksen S, Sjøtun K (2022). Going with the flow – population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway. Frontiers in Marine Science (submitted for review). Article abstract: Saccharina latissima is the most important habitat-forming kelp in sheltered areas of North-Atlantic, and there is also an increasing interest in cultivation and utilization of S. latissima. The cultivation activity may introduce a risk of “crop-to-wild” gene flow from the cultivated crops to natural populations. A baseline study to examine genetic structure and gene flow in S. latissima along the Norwegian coast was therefore done. Microsatellite analyses was carried out on samples from 21 stations, where 12 were in the coastal area from outer Oslofjord in the south to Porsanger in North-Norway, and 9 in the two longest fjords of Norway, Hardangerfjord and Sognefjord. In addition, a hydrographical model was applied, simulating the direction and potential rate of spore dispersal along the coast during the main period of spore release. The results showed a clear isolation by distance pattern along the coast, good connectivity and little genetic structure, except for a reduced connectivity between South- and North-Norway, probably due to the Lofoten archipelago representing a partial barrier for the northward dispersal of spores. In addition, indications of reduced connectivity between coastal stations and the innermost fjord stations were found. Analysing the material with and without one locus potentially under positive selection suggests some degree of genetic adaptation of sugar kelp populations in the Skagerrak area and in the two fjords. The results suggest that genetic connectivity between populations on the coast is strongly influenced by the Norwegian Coastal current.
format Dataset
author Ribeiro, Pedro A.
Sjøtun, Kjersti
author_facet Ribeiro, Pedro A.
Sjøtun, Kjersti
author_sort Ribeiro, Pedro A.
title Replication Data for: Going with the flow - population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway
title_short Replication Data for: Going with the flow - population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway
title_full Replication Data for: Going with the flow - population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway
title_fullStr Replication Data for: Going with the flow - population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway
title_full_unstemmed Replication Data for: Going with the flow - population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway
title_sort replication data for: going with the flow - population genetics of the kelp saccharina latissima (phaeophyceae, laminariales) in norway
publishDate 2022
url https://search.dataone.org/view/sha256:05b86618b9c85a26fe4128727f24cb68e446d637e8499d8eaa02fdfc7668991b
op_coverage BEGINDATE: 2016-08-01T00:00:00Z ENDDATE: 2018-06-01T00:00:00Z
long_lat ENVELOPE(15.958,15.958,69.102,69.102)
ENVELOPE(-45.000,-45.000,-60.733,-60.733)
ENVELOPE(8.667,8.667,63.317,63.317)
ENVELOPE(24.956,24.956,70.052,70.052)
geographic Dahle
Fredriksen
Lofoten
Meland
Norway
Porsanger
geographic_facet Dahle
Fredriksen
Lofoten
Meland
Norway
Porsanger
genre Lofoten
North Atlantic
North Norway
genre_facet Lofoten
North Atlantic
North Norway
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