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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: Going with the flow - population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway |
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Identification Number: |
doi:10.18710/IIZ1BZ |
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Distributor: |
DataverseNO |
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Date of Distribution: |
2022-05-06 |
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Version: |
1 |
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Bibliographic Citation: |
Ribeiro, Pedro A.; Sjøtun, Kjersti, 2022, "Replication Data for: Going with the flow - population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway", https://doi.org/10.18710/IIZ1BZ, DataverseNO, V1 |
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Citation |
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Title: |
Replication Data for: Going with the flow - population genetics of the kelp Saccharina latissima (Phaeophyceae, Laminariales) in Norway |
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Identification Number: |
doi:10.18710/IIZ1BZ |
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Authoring Entity: |
Ribeiro, Pedro A. (University of Bergen) |
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Sjøtun, Kjersti (University of Bergen) |
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Other identifications and acknowledgements: |
Norway Seaweed Ltd. |
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Other identifications and acknowledgements: |
Dalen, PV |
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Other identifications and acknowledgements: |
Næss, Tonje |
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Other identifications and acknowledgements: |
Fredriksen, Stein |
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Other identifications and acknowledgements: |
Neves, Luiza |
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Producer: |
University of Bergen |
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Software used in Production: |
GeneMapperTM Software 5 (Applied Biosystems) |
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Distributor: |
DataverseNO |
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Distributor: |
University of Bergen |
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Access Authority: |
Sjøtun, Kjersti |
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Access Authority: |
Ribeiro, Pedro A. |
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Depositor: |
Sjøtun, Inga Kjersti |
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Date of Deposit: |
2022-03-28 |
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Holdings Information: |
https://doi.org/10.18710/IIZ1BZ |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, Microsatellites, Saccharina latissima, Norway, marine biology, kelp, Algae, genotype, sugar kelp |
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Abstract: |
<p> 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. </p> <p> 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). </p> <p> Article abstract: </p> <p> 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. </p> |
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Time Period: |
2016-08-2018-06 |
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Country: |
Norway |
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Geographic Bounding Box: |
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Kind of Data: |
Survey data |
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Kind of Data: |
Comma-separated values |
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Methodology and Processing |
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Sources Statement |
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Data Sources: |
Paulino, C., Neiva, J., Coelho, N.C., Aires, T., Marbà, N., Krause-Jensen, D., Serrão, E.A (2016). Characterization of 12 polymorphic microsatellite markers in the sugar kelp Saccharina latissima. J. Appl. Phycol. DOI: 10.1007/s10811-016-0811-x. |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Ribeiro, P. A., 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). Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.876420 |
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Identification Number: |
10.3389/fmars.2022.876420 |
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Bibliographic Citation: |
Ribeiro, P. A., 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). Frontiers in Marine Science, 9. https://doi.org/10.3389/fmars.2022.876420 |
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Label: |
00_README.txt |
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Text: |
Readme file with details about the dataset |
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Notes: |
text/plain |
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Label: |
01_Stations.txt |
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Text: |
Name and geographical positions of all sampling stations |
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Notes: |
text/plain |
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Label: |
02_microsatellite_genotypes.txt |
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Notes: |
text/plain |