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Abstract
The transport of passively dispersed organisms across tropical margins remains poorly understood. Hypotheses of oceanographic transportation potential lack testing with large scale empirical data. To address this gap, we used the seagrass species, Halodule wrightii, which is unique in spanning the entire tropical Atlantic. We tested the hypothesis that genetic differentiation estimated across its large-scale biogeographic range can be predicted by simulated oceanographic transport. The alternative hypothesis posits that dispersal is independent of ocean currents, such as transport by grazers. We compared empirical genetic estimates and modelled predictions of dispersal along the distribution of H. wrightii. We genotyped eight microsatellite loci on 19 populations distributed across Atlantic Africa, Gulf of Mexico, Caribbean, Brazil and developed a biophysical model with high-resolution ocean currents. Genetic data revealed low gene flow and highest differentiation between (1) the Gulf of Mexico and two other regions: (2) Caribbean-Brazil and (3) Atlantic Africa. These two were more genetically similar despite separation by an ocean. The biophysical model indicated low or no probability of passive dispersal among populations and did not match the empirical genetic data. The results support the alternative hypothesis of a role for active dispersal vectors like grazers.
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1 Universidade do Algarve, Center of Marine Sciences (CCMAR-CIMAR), Faro, Portugal (GRID:grid.7157.4) (ISNI:0000 0000 9693 350X)
2 Universidade do Algarve, Center of Marine Sciences (CCMAR-CIMAR), Faro, Portugal (GRID:grid.7157.4) (ISNI:0000 0000 9693 350X); Nord Universitet, Faculty of Bioscience and Aquaculture, Bodø, Norway (GRID:grid.465487.c)
3 Texas A&M University-Corpus Christi, Corpus Christi, USA (GRID:grid.264759.b) (ISNI:0000 0000 9880 7531)
4 Universidade do Estado do Rio de Janeiro, Departamento de Ecologia, Rio de Janeiro, Brazil (GRID:grid.412211.5) (ISNI:0000 0004 4687 5267)
5 Universidade Federal Rural de Pernambuco, Área de Ecologia, Departamento de Biologia, Recife, Brazil (GRID:grid.411177.5) (ISNI:0000 0001 2111 0565)
6 Universidade Federal de Santa Catarina, Laboratório de Ficologia, Departamento de Botânica, Florianópolis, Brazil (GRID:grid.411237.2) (ISNI:0000 0001 2188 7235)
7 Universidade do Algarve, Center of Marine Sciences (CCMAR-CIMAR), Faro, Portugal (GRID:grid.7157.4) (ISNI:0000 0000 9693 350X); CARMABI Foundation, Willemstad, The Netherlands (GRID:grid.452305.5)
8 CIPA, Centro de Investigação Pesqueira Aplicada, Bissau, Guinea-Bissau (GRID:grid.452305.5)
9 IBAP-Instituto da Biodiversidade e Áreas Protegidas, Bissau, Guinea-Bissau (GRID:grid.452305.5)
10 Universidade de Cabo Verde, Faculdade de Ciências e Tecnologia, Praia, Cabo Verde (GRID:grid.442758.8) (ISNI:0000 0001 0246 8967)
11 Universidade do Algarve, Center of Marine Sciences (CCMAR-CIMAR), Faro, Portugal (GRID:grid.7157.4) (ISNI:0000 0000 9693 350X); Dragões do Mar, Nova Estrela, Ilha do Príncipe, São Tomé and Príncipe (GRID:grid.7157.4)
12 Parc Nationale du Banc d’Arguin (PNBA), Chami, Mauritania (GRID:grid.7157.4)
13 Institut Mauritanien de Recherche Oceanographique et des Peches (IMROP), Nouadhibou, Mauritania (GRID:grid.463370.5) (ISNI:0000 0001 0523 9983)
14 Universidade do Namibe, Namibe, Angola (GRID:grid.463370.5)
15 ISPA-Instituto Universitário, MARE-Marine and Environmental Sciences Centre, Lisbon, Portugal (GRID:grid.410954.d) (ISNI:0000 0001 2237 5901); University of Exete, Centre for Ecology and Conservation, Penryn, UK (GRID:grid.410954.d)
16 Universidade do Algarve, Center of Marine Sciences (CCMAR-CIMAR), Faro, Portugal (GRID:grid.7157.4) (ISNI:0000 0000 9693 350X); CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Vairão, Portugal (GRID:grid.5808.5) (ISNI:0000 0001 1503 7226)