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Abstract
Information on population structure and connectivity of targeted species is key for proper implementation of spatial conservation measures. We used a combination of genomics, biophysical modelling, and biotelemetry to infer the population structure and connectivity of Atlantic meagre, an important fisheries resource throughout its distribution. Genetic samples from previously identified Atlantic spawning locations (Gironde, Tejo, Guadalquivir, Banc d’Arguin) and two additional regions (Algarve and Senegal) were analysed using genome-wide SNP-genotyping and mitochondrial DNA analyses. Biophysical models were conducted to investigate larval dispersal and connectivity from the known Atlantic spawning locations. Additionally, thirteen fish were double-tagged with biotelemetry transmitters off the Algarve (Portugal) to assess movement patterns and connectivity of adult individuals. This multidisciplinary approach provided a robust overview of meagre population structure and connectivity in the Atlantic. Nuclear SNP-genotyping showed a clear differentiation between the European and African populations, with significant isolation of the few known Atlantic spawning sites. The limited level of connectivity between these subpopulations is potentially driven by adults, capable of wide-ranging movements and connecting sites 500 km apart, as evidenced by tagging studies, whilst larval dispersal inferred by modelling is much more limited (average of 52 km; 95% of connectivity events up to 174 km). Our results show sufficient evidence of population structure, particularly between Africa and Europe but also within Europe, for the meagre to be managed as separate stocks. Additionally, considering the low degree of larvae connectivity, the implementation of marine protected areas in key spawning sites could be crucial towards species sustainability.
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Details
1 University of Algarve, CCMAR, Centre of Marine Sciences, Faro, Portugal (GRID:grid.7157.4) (ISNI:0000 0000 9693 350X)
2 University of Edinburgh, Royal (Dick) School of Veterinary Studies and the Roslin Institute, Midlothian, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988)
3 Institut Mauritanien de Recherches Océanographiques et des Pêches (IMROP), Nouadhibou, Mauritania (GRID:grid.463370.5) (ISNI:0000 0001 0523 9983)
4 Conservation and Research of West African Aquatic Mammals (COREWAM), Dakar, Senegal (GRID:grid.463370.5)
5 Universidad de Cádiz. Campus de Excelencia Internacional del Mar (CEIMAR), Departamento de Biología, Facultad de Ciencias del Mar y Ambientales, Cádiz, Spain (GRID:grid.7759.c) (ISNI:0000000103580096); Instituto Universitario de Investigación Marina (INMAR), Campus de Excelencia Internacional del Mar (CEIMAR), Cádiz, Spain (GRID:grid.7759.c)
6 Parc naturel marin de l’estuaire de La Gironde et de la mer des Pertuis, OFB, Marennes, France (GRID:grid.7759.c)
7 University of the Azores, Ocean Sciences Institute (Okeanos), Horta, Portugal (GRID:grid.7338.f) (ISNI:0000 0001 2096 9474); Institute of Marine Research (IMAR), Horta, Portugal (GRID:grid.474075.5) (ISNI:0000 0001 2298 2699)
8 University of Algarve, CCMAR, Centre of Marine Sciences, Faro, Portugal (GRID:grid.7157.4) (ISNI:0000 0000 9693 350X); Nord Universitet, Faculty of Bioscience and Aquaculture, Bodø, Norway (GRID:grid.465487.c)