Journal of The Royal Society Interface
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Identification of genetically and oceanographically distinct blooms of jellyfish

Patricia L. M. Lee

Patricia L. M. Lee

Department of Biosciences, College of Science, Swansea University, Singleton Park, Swansea SA2 8PP, Wales, UK

Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Warrnambool, Victoria 3280, Australia

[email protected]

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Michael N Dawson

Michael N Dawson

School of Natural Sciences, 5200 North Lake Road, University of California, Merced, CA 95343, USA

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Simon P. Neill

Simon P. Neill

School of Ocean Sciences, Bangor University, Menai Bridge, Wales LL59 5AB, UK

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Peter E. Robins

Peter E. Robins

School of Ocean Sciences, Bangor University, Menai Bridge, Wales LL59 5AB, UK

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Jonathan D. R. Houghton

Jonathan D. R. Houghton

School of Biological Sciences, Medical Biology Centre, Queen's University, Belfast, 97 Lisburn Road, Belfast BT9 7BL, UK

Queen's University Belfast Marine Laboratory, 12-13 The Strand, Portaferry, County Down BT22 1PF, UK

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Thomas K. Doyle

Thomas K. Doyle

Coastal & Marine Research Centre, ERI, University College Cork, Naval Base, Haulbowline, Cobh, Cork, Ireland

School of Biological, Earth and Environmental Sciences, University College Cork, Distillery Fields, North Mall, Cork, Ireland

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Graeme C. Hays

Graeme C. Hays

Department of Biosciences, College of Science, Swansea University, Singleton Park, Swansea SA2 8PP, Wales, UK

Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Warrnambool, Victoria 3280, Australia

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    Reports of nuisance jellyfish blooms have increased worldwide during the last half-century, but the possible causes remain unclear. A persistent difficulty lies in identifying whether blooms occur owing to local or regional processes. This issue can be resolved, in part, by establishing the geographical scales of connectivity among locations, which may be addressed using genetic analyses and oceanographic modelling. We used landscape genetics and Lagrangian modelling of oceanographic dispersal to explore patterns of connectivity in the scyphozoan jellyfish Rhizostoma octopus, which occurs en masse at locations in the Irish Sea and northeastern Atlantic. We found significant genetic structure distinguishing three populations, with both consistencies and inconsistencies with prevailing physical oceanographic patterns. Our analyses identify locations where blooms occur in apparently geographically isolated populations, locations where blooms may be the source or result of migrants, and a location where blooms do not occur consistently and jellyfish are mostly immigrant. Our interdisciplinary approach thus provides a means to ascertain the geographical origins of jellyfish in outbreaks, which may have wide utility as increased international efforts investigate jellyfish blooms.

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