Authors

Gregory N. Puncher, University of New BrunswickFollow
Alessia Cariani, University of Bologna
Gregory E. Maes, James Cook University
Jeroen Van Houdt, Centre for Human Genetics
Koen Herten, Centre for Human Genetics
Rita Cannas, University of Cagliari
Naiara Rodriguez-Ezpeleta, Marine Research Division, AZTI Tecnalia
Aitor Albania, University of the Basque Country
Andone Estonba, University of the Basque Country
Molly Lutcavage, Marine Research Division, AZTI Tecnalia
Alex Hanke, St. Andrews Biological Station
Jay Rooker, University at Galveston
James S. Franks, University of Southern Mississippi
Joseph M. Quattro, University of South Carolina
Gualtiero Basilone, Institute for Marine and Coastal Environment
Igaratza Fraile, Marine Research Division, AZTI Tecnalia
Urtzi Laconcha, Marine Research Division, AZTI Tecnalia
Nicolas Goñi, Marine Research Division, AZTI Tecnalia
Ai Kimoto, National Research Institute of Far East Fisheries
David Macías, Instituto Español de Oceanografía
Francisco Alemany, Instituto Español de Oceanografía
Simeon Deguara, Federation of Maltese Aquaculture Producers
Salem W. Zgozi, Marine Biology Research Center
Fulvio Garibaldi, University of Genoa
Isik K. Oray, Istanbul University
Firdes Saadet Karakulak, Istanbul University
Noureddine Abid, National Institute of Fisheries Research, Regional Centre of Tangier
Miguel N. Santos, Instituto Português do Mar e da Atmosfera
Piero Addis, University of Cagliari
Haritz Arrizabalaga, Marine Research Division, AZTI Tecnalia
Fausto Tinti, University of Bologna

Document Type

Article

Publication Date

5-1-2018

Department

Coastal Sciences, Gulf Coast Research Laboratory

School

Ocean Science and Engineering

Abstract

The Atlantic bluefin tuna is a highly migratory species emblematic of the challenges associated with shared fisheries management. In an effort to resolve the species’ stock dynamics, a genomewide search for spatially informative single nucleotide polymorphisms (SNPs) was undertaken, by way of sequencing reduced representation libraries. An allele frequency approach to SNP discovery was used, combining the data of 555 larvae and young‐of‐the‐year (LYOY) into pools representing major geographical areas and mapping against a newly assembled genomic reference. From a set of 184,895 candidate loci, 384 were selected for validation using 167 LYOY. A highly discriminatory genotyping panel of 95 SNPs was ultimately developed by selecting loci with the most pronounced differences between western Atlantic and Mediterranean Sea LYOY. The panel was evaluated by genotyping a different set of LYOY (n = 326), and from these, 77.8% and 82.1% were correctly assigned to western Atlantic and Mediterranean Sea origins, respectively. The panel revealed temporally persistent differentiation among LYOY from the western Atlantic and Mediterranean Sea (FST = 0.008, p = .034). The composition of six mixed feeding aggregations in the Atlantic Ocean and Mediterranean Sea was characterized using genotypes from medium (n = 184) and large (n = 48) adults, applying population assignment and mixture analyses. The results provide evidence of persistent population structuring across broad geographic areas and extensive mixing in the Atlantic Ocean, particularly in the mid‐Atlantic Bight and Gulf of St. Lawrence. The genomic reference and genotyping tools presented here constitute novel resources useful for future research and conservation efforts.

Comments

This is the peer reviewed version of the following article: "Spatial Dynamics and Mixing of Bluefin Tuna in the Atlantic Ocean and Mediterranean Sea Revealed Using Next‐Generation Sequencing", which has been published in final form at https://doi.org/10.1111/1755-0998.12764. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.

Publication Title

Molecular Ecology Resources

Volume

18

Issue

3

First Page

620

Last Page

638

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