This site has just undergone scheduled maintenance in order to be moved to a new infrastructure. You shouldn’t experience any change, but do let us know (datacentre@scilifelab.se) if you think anything looks out of place.

Unlocking the secret life of blue mussels: Exploring connectivity in the Skagerrak through biophysical modeling and population genomics.

Gustafsson M, Strand Å, Laugen AT, Albretsen J, André C, Broström G, Jorde PE, Knutsen H, Ortega-Martinez O, Sodeland M, Waern M, Wrange AL, De Wit P

Evol Appl 17 (5) e13704 [2024-05-00; online 2024-05-20]

Knowledge of functional dispersal barriers in the marine environment can be used to inform a wide variety of management actions, such as marine spatial planning, restoration efforts, fisheries regulations, and invasive species management. Locations and causes of dispersal barriers can be studied through various methods, including movement tracking, biophysical modeling, demographic models, and genetics. Combining methods illustrating potential dispersal, such as biophysical modeling, with realized dispersal through, e.g., genetic connectivity estimates, provides particularly useful information for teasing apart potential causes of observed barriers. In this study, we focus on blue mussels (Mytilus edulis) in the Skagerrak-a marginal sea connected to the North Sea in Northern Europe-and combine biophysical models of larval dispersal with genomic data to infer locations and causes of dispersal barriers in the area. Results from both methods agree; patterns of ocean currents are a major structuring factor in the area. We find a complex pattern of source-sink dynamics with several dispersal barriers and show that some areas can be isolated despite an overall high dispersal capability. Finally, we translate our finding into management advice that can be used to sustainably manage this ecologically and economically important species in the future.

NGI Short read [Service]

NGI Uppsala (SNP&SEQ Technology Platform) [Service]

National Genomics Infrastructure [Service]

PubMed 38770102

DOI 10.1111/eva.13704

Crossref 10.1111/eva.13704

pmc: PMC11104481
pii: EVA13704


Publications 9.5.1