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Title: Methodological assessment of 2b-RAD genotyping technique for population structure inferences in yellowfin tuna (Thunnus albacares)
Authors: Pecoraro, Carlo; Babbucci, Massimiliano; Villamor, Adriana; Papetti, Chiara; Leroy, Bruno; Ortega-Garcia, Sofia; Muir, Jeff; Rooker, Jay; Arocha, Freddy; Murua, Hilario; Zudaire, Iker; Chassot, Emmanuel; Bodin, Nathalie; Bargelloni, Luca; Cariani, Alessia; Franch, Rafaella; Tinti, Fausto
Citation: MARINE GENOMICS, 2016, 25, 43-48
Abstract: Global population genetic structure of yellowfin tuna (Thunnus albacores) is still poorly understood despite its relevance for the tuna fishery industry. Low levels of genetic differentiation among oceans speak in favour of the existence of a single panmictic population worldwide of this highly migratory fish. However, recent studies indicated genetic structuring at a much smaller geographic scales than previously considered, pointing out that YFT population genetic structure has not been properly assessed so far. In this study, we demonstrated for the first time, the utility of 2b-RAD genotyping technique for investigating population genetic diversity and differentiation in high gene-flow species. Running de novo pipeline in Stacks, a total of 6772 high-quality genome-wide SNPs were identified across Atlantic, Indian and Pacific population samples representing all major distribution areas. Preliminary analyses showed shallow but significant population structure among oceans (FST = 0.0273; P-value < 0.01). Discriminant Analysis of Principal Components endorsed the presence of genetically discrete yellowfin tuna populations among three oceanic pools. Although such evidence needs to be corroborated by increasing sample size, these results showed the efficiency of this genotyping technique in assessing genetic divergence in a marine fish with high dispersal potential. (C) 2015 Elsevier B.V. All rights reserved.
Keywords: Marine fish; Population genomics; RAD sequencing; SNP; Tropical tuna; Tuna fishery; PACIFIC-OCEAN; CONSERVATION; GENOMICS; MANAGEMENT; SEQUENCES; GENETICS; STACKS; STOCKS; LOCI; SNPS
Issue Date: 2016
Type: Article
Language: English
DOI: 10.1016/j.margen.2015.12.002
ISSN: 1874-7787
E-ISSN: 1876-7478
Funder: Bolton Group
Associazione Nazionale Conservieri Ittici e delle Tonnare
EMOTION project \[ANR JSV7 007 01]
Appears in Publication types:Artículos científicos

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