Evidence map›Paper›PMID 29985467›Full record

ArticleScientific reports2018

Reconciling differences in natural tags to infer demographic and genetic connectivity in marine fish populations.

Patrick Reis-Santos, Susanne E Tanner, Maria Ana Aboim, Rita P Vasconcelos, Jean Laroche, Grégory Charrier, Montse Pérez, Pablo Presa, Bronwyn M Gillanders, Henrique N Cabral

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Methods to estimate marine functional connectivity: A primer.Ecological applications : a publication of the Ecological Society of America · 2026
    Review
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  5. Innovation to limit seafood fraud post-COVID-19.Reviews in fish biology and fisheries · 2023
    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.

Patrick Reis-SantosMARE - Marine and Environmental Sciences Centre, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016, Lisboa, Portugal.ORCID 0000-0001-9843-9465
Susanne E TannerMARE - Marine and Environmental Sciences Centre, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016, Lisboa, Portugal. setanner@fc.ul.pt.ORCID 0000-0003-2225-7002
Maria Ana AboimMARE - Marine and Environmental Sciences Centre, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016, Lisboa, Portugal.
Rita P VasconcelosMARE - Marine and Environmental Sciences Centre, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016, Lisboa, Portugal.
Jean LarocheUniversité de Bretagne Occidentale Laboratoire des Sciences de l'Environnement Marin (LEMAR, UMR 6539 CNRS/UBO/IRD/Ifremer), Institut Universitaire Européen de la Mer (IUEM), 29280, Plouzané, France.
Grégory CharrierUniversité de Bretagne Occidentale Laboratoire des Sciences de l'Environnement Marin (LEMAR, UMR 6539 CNRS/UBO/IRD/Ifremer), Institut Universitaire Européen de la Mer (IUEM), 29280, Plouzané, France.
Montse PérezInstituto Español de Oceanografia (IEO), Centro Oceanográfico de Vigo, 36390, Vigo, Spain.
Pablo PresaUniversity of Vigo, Department of Biochemistry, Genetics and Immunology, 36310, Vigo, Spain.
Bronwyn M GillandersSouthern Seas Ecology Laboratories, School of Biological Sciences, The University of Adelaide, Adelaide, SA, 5005, Australia.
Henrique N CabralMARE - Marine and Environmental Sciences Centre, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, 1749-016, Lisboa, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Processes regulating population connectivity are complex, ranging from extrinsic environmental factors to intrinsic individual based features, and are a major force shaping the persistence of fish species and population responses to harvesting and environmental change. Here we developed an integrated assessment of demographic and genetic connectivity of European flounder Platichthys flesus in the northeast Atlantic (from the Norwegian to the Portuguese coast) and Baltic Sea. Specifically, we used a Bayesian infinite mixture model to infer the most likely number of natal sources of individuals based on otolith near core chemical composition. Simultaneously, we characterised genetic connectivity via microsatellite DNA markers, and evaluated how the combined use of natural tags informed individual movement and long-term population exchange rates. Individual markers provided different insights on movement, with otolith chemistry delineating Norwegian and Baltic Sea sources, whilst genetic markers showed a latitudinal pattern which distinguished southern peripheral populations along the Iberian coast. Overall, the integrated use of natural tags resulted in outcomes that were not readily anticipated by individual movement or gene flow markers alone. Our ecological and evolutionary approach provided a synergistic view on connectivity, which will be paramount to align biological and management units and safeguard species' biocomplexity.

Indexed as

Genetic VariationAnimalsAtlantic OceanBayes TheoremFlounderGenetic MarkersGenotypeMicrosatellite RepeatsPrincipal Component AnalysisGenetic Markers

Identifiers

PMID29985467
PMCPMC6037741

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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.