Evidence map›Paper›PMID 30224658›Full record

ArticleScientific reports2018

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

Carlo Pecoraro, Massimiliano Babbucci, Rafaella Franch, Ciro Rico, Chiara Papetti, Emmanuel Chassot, Nathalie Bodin, Alessia Cariani, Luca Bargelloni, Fausto Tinti

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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  6. Review
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  8. Re-evaluating Coho salmon (Evolutionary applications · 2022
    Article
  9. Fisheries genomics of snapper (Evolutionary applications · 2022
    Article
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  11. Article
  12. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Carlo PecoraroDepartment Biological, Geological and Environmental Sciences (BIGEA), University of Bologna, Via Selmi 3, 40126, Bologna, Italy. info@physalia-courses.org.
Massimiliano BabbucciComparative Biomedicine and Food Science, University of Padova, viale dell'Università 16, 35020, Legnaro, PD, Italy.
Rafaella FranchComparative Biomedicine and Food Science, University of Padova, viale dell'Università 16, 35020, Legnaro, PD, Italy.ORCID 0000-0002-1333-0733
Ciro RicoSchool of Marine Studies, Molecular Analytics Laboratory (MOANA-LAB), Faculty of Science Technology and Environment, The University of the South Pacific, Laucala Campus, Suva, Fiji.ORCID 0000-0002-0822-336X
Chiara PapettiDepartment of Biology, University of Padova, 35121, Padova, Italy.
Emmanuel ChassotInstitut de Recherche pour le Développement (IRD), UMR MARBEC (IRD/Ifremer/UM2/CNRS) SFA, Fishing Port, BP570, Victoria, Seychelles.
Nathalie BodinInstitut de Recherche pour le Développement (IRD), UMR MARBEC (IRD/Ifremer/UM2/CNRS) SFA, Fishing Port, BP570, Victoria, Seychelles.
Alessia CarianiDepartment Biological, Geological and Environmental Sciences (BIGEA), University of Bologna, Via Selmi 3, 40126, Bologna, Italy.ORCID 0000-0002-5513-0086
Luca BargelloniComparative Biomedicine and Food Science, University of Padova, viale dell'Università 16, 35020, Legnaro, PD, Italy.
Fausto TintiDepartment Biological, Geological and Environmental Sciences (BIGEA), University of Bologna, Via Selmi 3, 40126, Bologna, Italy.ORCID 0000-0002-8649-5387

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Genetics, PopulationAnimalsAtlantic OceanGenetic VariationGeographyIndian OceanPacific OceanPolymorphism, Single NucleotideTuna

Identifiers

PMID30224658
PMCPMC6141456

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.