Literature DB >> 29405659

Spatial dynamics and mixing of bluefin tuna in the Atlantic Ocean and Mediterranean Sea revealed using next-generation sequencing.

Gregory N Puncher1,2,3, Alessia Cariani1, Gregory E Maes4,5,6, Jeroen Van Houdt5, Koen Herten5,6, Rita Cannas7, Naiara Rodriguez-Ezpeleta8, Aitor Albaina9,10, Andone Estonba9, Molly Lutcavage11, Alex Hanke12, Jay Rooker13,14, James S Franks15, Joseph M Quattro16, Gualtiero Basilone17, Igaratza Fraile8, Urtzi Laconcha8,9, Nicolas Goñi8, Ai Kimoto18, David Macías19, Francisco Alemany19, Simeon Deguara20, Salem W Zgozi21, Fulvio Garibaldi22, Isik K Oray23, Firdes Saadet Karakulak23, Noureddine Abid24, Miguel N Santos25, Piero Addis7, Haritz Arrizabalaga8, Fausto Tinti1.   

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.
© 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990Thunnus thynnuszzm321990; mixed-stock analysis; origin assignment; population structure; reduced representation sequencing; single nucleotide polymorphisms

Mesh:

Year:  2018        PMID: 29405659     DOI: 10.1111/1755-0998.12764

Source DB:  PubMed          Journal:  Mol Ecol Resour        ISSN: 1755-098X            Impact factor:   7.090


  3 in total

1.  Ancient DNA SNP-panel data suggests stability in bluefin tuna genetic diversity despite centuries of fluctuating catches in the eastern Atlantic and Mediterranean.

Authors:  Adam J Andrews; Gregory N Puncher; Darío Bernal-Casasola; Antonio Di Natale; Francesco Massari; Vedat Onar; Nezir Yaşar Toker; Alex Hanke; Scott A Pavey; Castrense Savojardo; Pier Luigi Martelli; Rita Casadio; Elisabetta Cilli; Arturo Morales-Muñiz; Barbara Mantovani; Fausto Tinti; Alessia Cariani
Journal:  Sci Rep       Date:  2021-10-20       Impact factor: 4.379

2.  Combining genetic markers with stable isotopes in otoliths reveals complexity in the stock structure of Atlantic bluefin tuna (Thunnus thynnus).

Authors:  Deirdre Brophy; Naiara Rodríguez-Ezpeleta; Igaratza Fraile; Haritz Arrizabalaga
Journal:  Sci Rep       Date:  2020-09-07       Impact factor: 4.379

3.  Genetic connectivity between Atlantic bluefin tuna larvae spawned in the Gulf of Mexico and in the Mediterranean Sea.

Authors:  Carolina Johnstone; Montse Pérez; Estrella Malca; José María Quintanilla; Trika Gerard; Diego Lozano-Peral; Francisco Alemany; John Lamkin; Alberto García; Raúl Laiz-Carrión
Journal:  PeerJ       Date:  2021-06-14       Impact factor: 2.984

  3 in total

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