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

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 oceani...

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Autores principales: Pecoraro, Carlo, Babbucci, Massimiliano, Franch, Rafaella, Rico, Ciro, Papetti, Chiara, Chassot, Emmanuel, Bodin, Nathalie, Cariani, Alessia, Bargelloni, Luca, Tinti, Fausto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141456/
https://www.ncbi.nlm.nih.gov/pubmed/30224658
http://dx.doi.org/10.1038/s41598-018-32331-3
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author Pecoraro, Carlo
Babbucci, Massimiliano
Franch, Rafaella
Rico, Ciro
Papetti, Chiara
Chassot, Emmanuel
Bodin, Nathalie
Cariani, Alessia
Bargelloni, Luca
Tinti, Fausto
author_facet Pecoraro, Carlo
Babbucci, Massimiliano
Franch, Rafaella
Rico, Ciro
Papetti, Chiara
Chassot, Emmanuel
Bodin, Nathalie
Cariani, Alessia
Bargelloni, Luca
Tinti, Fausto
author_sort Pecoraro, Carlo
collection PubMed
description 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.
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spelling pubmed-61414562018-09-20 The population genomics of yellowfin tuna (Thunnus albacares) at global geographic scale challenges current stock delineation Pecoraro, Carlo Babbucci, Massimiliano Franch, Rafaella Rico, Ciro Papetti, Chiara Chassot, Emmanuel Bodin, Nathalie Cariani, Alessia Bargelloni, Luca Tinti, Fausto Sci Rep Article 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. Nature Publishing Group UK 2018-09-17 /pmc/articles/PMC6141456/ /pubmed/30224658 http://dx.doi.org/10.1038/s41598-018-32331-3 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Pecoraro, Carlo
Babbucci, Massimiliano
Franch, Rafaella
Rico, Ciro
Papetti, Chiara
Chassot, Emmanuel
Bodin, Nathalie
Cariani, Alessia
Bargelloni, Luca
Tinti, Fausto
The population genomics of yellowfin tuna (Thunnus albacares) at global geographic scale challenges current stock delineation
title The population genomics of yellowfin tuna (Thunnus albacares) at global geographic scale challenges current stock delineation
title_full The population genomics of yellowfin tuna (Thunnus albacares) at global geographic scale challenges current stock delineation
title_fullStr The population genomics of yellowfin tuna (Thunnus albacares) at global geographic scale challenges current stock delineation
title_full_unstemmed The population genomics of yellowfin tuna (Thunnus albacares) at global geographic scale challenges current stock delineation
title_short The population genomics of yellowfin tuna (Thunnus albacares) at global geographic scale challenges current stock delineation
title_sort population genomics of yellowfin tuna (thunnus albacares) at global geographic scale challenges current stock delineation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141456/
https://www.ncbi.nlm.nih.gov/pubmed/30224658
http://dx.doi.org/10.1038/s41598-018-32331-3
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