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The population genomics of yellowfin tuna (Thunnus albacares) at global geographic scale challenges current stock delineation

Authors :
Nathalie Bodin
Chiara Papetti
Fausto Tinti
Massimiliano Babbucci
Carlo Pecoraro
Luca Bargelloni
Ciro Rico
Rafaella Franch
Emmanuel Chassot
Alessia Cariani
Alma Mater Studiorum University of Bologna (UNIBO)
MARine Biodiversity Exploitation and Conservation (UMR MARBEC)
Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Università degli Studi di Padova = University of Padua (Unipd)
University of the South Pacific (USP)
Seychelles Fishing Authority (SFA) (SFA)
Université des Seychelles
Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO)
Universita degli Studi di Padova
Pecoraro, Carlo
Babbucci, Massimiliano
Franch, Rafaella
Rico, Ciro
Papetti, Chiara
Chassot, Emmanuel
Bodin, Nathalie
Cariani, Alessia
Bargelloni, Luca
Tinti, Fausto
French, Rafaella [0000-0002-1333-0733]
Rico, Ciro [0000-0002-0822-336X]
Cariani, Alessia [0000-0002-5513-0086]
Tinti, Fausto [0000-0002-8649-5387]
French, Rafaella
Source :
Scientific Reports, Scientific Reports, 2018, 8, pp.13890. ⟨10.1038/s41598-018-32331-3⟩, Scientific Reports, Nature Publishing Group, 2018, 8, pp.13890. ⟨10.1038/s41598-018-32331-3⟩, Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018), Scientific Reports (2045-2322) (Nature Publishing Group), 2018-09, Vol. 8, N. 13890, P. 10p., Digital.CSIC. Repositorio Institucional del CSIC, instname
Publication Year :
2018

Abstract

Yellowfin tuna, Thunnus albacares, is one of the most important seafood commodities in the world. Despite its great biological and economic importance, conflicting evidence arises from classical genetic and tagging studies concerning the yellowfin tuna population structure at local and global oceanic scales. Access to more powerful and cost effective genetic tools would represent the first step towards resolving the population structure of yellowfin tuna across its distribution range. Using a panel of 939 neutral Single Nucleotide Polymorphisms (SNPs), and the most comprehensive data set of yellowfin samples available so far, we found genetic differentiation among the Atlantic, Indian and Pacific oceans. The genetic stock structure analysis carried out with 33 outlier SNPs, putatively under selection, identified discrete populations within the Pacific Ocean and, for the first time, also within the Atlantic Ocean. Stock assessment approaches that consider genetic differences at neutral and adaptive genomic loci should be routinely implemented to check the status of the yellowfin tuna, prevent illegal trade, and develop more sustainable management measures.

Details

Language :
English
ISSN :
20452322
Database :
OpenAIRE
Journal :
Scientific Reports, Scientific Reports, 2018, 8, pp.13890. ⟨10.1038/s41598-018-32331-3⟩, Scientific Reports, Nature Publishing Group, 2018, 8, pp.13890. ⟨10.1038/s41598-018-32331-3⟩, Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018), Scientific Reports (2045-2322) (Nature Publishing Group), 2018-09, Vol. 8, N. 13890, P. 10p., Digital.CSIC. Repositorio Institucional del CSIC, instname
Accession number :
edsair.doi.dedup.....e4bea3a08e1346a8c1210533df34f662