Hierarchical population genetic structure in the commercially exploited shrimp <Emphasis Type="Italic">Crangon crangon</Emphasis> identified by AFLP analysis |
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Authors: | D Weetman A Ruggiero S Mariani P W Shaw A R Lawler L Hauser |
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Institution: | (1) Department of Biological Sciences, University of Hull, Hull, HU6 7RX, UK;(2) Vector Group, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK;(3) Department of Animal and Human Biology, University of La Sapienza, Rome, Italy;(4) Organon Ireland Limited, Drynam Road, Swords, County Dublin, Ireland;(5) School of Biological and Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland;(6) School of Biological Sciences, Royal Holloway, University of London, Egham, Surrey, TW20 0EX, UK;(7) CEFAS Lowestoft Laboratory, Lowestoft, Suffolk, NR33 0HT, UK;(8) School of Aquatic and Fishery Sciences, University of Washington, 1122 NE Boat Street, 355020, Seattle, WA 98195-5020, USA |
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Abstract: | The coastal shrimp Crangon crangon is an ecologically and commercially important species but there is limited knowledge of its genetic population structure.
We utilised amplified fragment length polymorphisms (AFLPs) to investigate population differentiation among eight sampling
locations comprising paired sites from north- and south-western Britain, the eastern English Channel and the Baltic Sea. Initial
AMOVA and cluster analysis suggested strong differentiation, but outlier analysis identified three loci that might be subject
to selection, one of which showed significant latitudinal variation in allele frequencies. Following exclusion of these outlier
loci, and also of a divergent, genetically-impoverished sample from the UK Bristol Channel, cluster analysis revealed three
major groupings, corresponding to geographical regions: western Britain, the eastern English Channel and the Baltic Sea. AMOVA
identified significant differentiation both within and among these regions, with similar variation explained by each hierarchical
level. C. crangon shows greater genetic structuring than has been found in many decapod crustaceans studied to date, and our results are consistent
with unstable population sizes and gene flow restricted by distance and probably also hydrographic features. Further investigation
of temporal stability in population structure is required, but broad-scale homogeneity of fishery stocks should not be assumed. |
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