Evidence map›Paper›PMID 34742227›Full record

ArticleGenetics, selection, evolution : GSE2021

Estimates of recent and historical effective population size in turbot, seabream, seabass and carp selective breeding programmes.

María Saura, Armando Caballero, Enrique Santiago, Almudena Fernández, Elisabeth Morales-González, Jesús Fernández, Santiago Cabaleiro, Adrián Millán, Paulino Martínez, Christos Palaiokostas and 9 more

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
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

20 citing papers in PubMed, 47 citations in OpenAlex.

  1. Bony fish genomes: Status and gaps.Journal of fish biology · 2026
    Review
  2. Restructuring breeding programs 1: Integration of diversity.Genetics, selection, evolution : GSE · 2026
    Article
  3. Article
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  10. Comparing GeneticEvolutionary applications · 2024
    Article
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  13. Review
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  18. Population dynamics of Baltic herring since the Viking Age revealed by ancient DNA and genomics.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  19. Article
  20. Article
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

19 authors at 12 institutions in 7 countries.

María SauraDepartamento de Mejora Genética Animal, INIA-CSIC, Ctra. de La Coruña, km 7.5, 28040, Madrid, Spain. saura.maria@inia.es.ORCID http://orcid.org/0000-0002-2744-2840
Armando CaballeroCentro de Investigación Mariña, Facultade de Bioloxía, Universidade de Vigo, 36310, Vigo, Spain.
Enrique SantiagoDepartamento de Biología Funcional, Universidad de Oviedo, C/ Julián Clavería s/n, 33006, Oviedo, Spain.
Almudena FernándezDepartamento de Mejora Genética Animal, INIA-CSIC, Ctra. de La Coruña, km 7.5, 28040, Madrid, Spain.
Elisabeth Morales-GonzálezDepartamento de Mejora Genética Animal, INIA-CSIC, Ctra. de La Coruña, km 7.5, 28040, Madrid, Spain.
Jesús FernándezDepartamento de Mejora Genética Animal, INIA-CSIC, Ctra. de La Coruña, km 7.5, 28040, Madrid, Spain.
Santiago CabaleiroCETGA, Cluster de Acuicultura de Galicia, Punta do Couso s/n, 15695, Aguiño-Ribeira, Spain.
Adrián MillánGeneaqua, 27002, Lugo, Spain.
Paulino MartínezDepartament of Zoology, Genetics and Physical Anthropology, Universidade de Santiago de Compostela, 27002, Lugo, Spain.
Christos PalaiokostasThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK.
Martin KocourSouth Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Faculty of Fisheries and Protection of Waters, University of South Bohemia in České Budějovice, Zátiší 728/II, 389 25, Vodňany, Czech Republic.
Muhammad L AslamNofima AS, P.O. Box 210, 1431, Ås, Norway.
Ross D HoustonThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, EH25 9RG, UK.
Martin PrchalSouth Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, Faculty of Fisheries and Protection of Waters, University of South Bohemia in České Budějovice, Zátiší 728/II, 389 25, Vodňany, Czech Republic.
Luca BargelloniUniversitá degli Studi di Padova, Via 8 Febbraio 1848, 2, 35122, Padova, PD, Italy.
Kostas TzokasAndromeda Group SA, Leof. Lavriou 99, 190 02, Peania, Greece.
Pierrick HaffraySYSAAF, Station LPGP/INRAE, Campus de Beaulieu, 35042, Rennes, France.
Jean-Sebastien BruantFerme Marine De Douhet, Route du Douhet, 17840, La Brée-les-Bains, France.
Beatriz VillanuevaDepartamento de Mejora Genética Animal, INIA-CSIC, Ctra. de La Coruña, km 7.5, 28040, Madrid, Spain.
Consejo Superior de Investigaciones Científicas · ESRoslin Institute · GBUniversity of South Bohemia in České Budějovice · CZCentro de Supercomputación de Galicia · ESÉcole des hautes études en sciences sociales · FRMunicipality of Athens Development Agency · GRNofima · NOSyndicat des Sélectionneurs Avicoles et Aquacoles Français · FRUniversidad de Oviedo · ESUniversidade de Santiago de Compostela · ESUniversidade de Vigo · ESUniversity of Padua · IT

Funding

Horizon 2020 727315 MedAID projectMCIN/ AEI /10.13039/501100011033 PID2020-114426GB-C2MCIN/ AEI /10.13039/501100011033 PID2020-114426GB-C22Ministerio de Ciencia e Innovación (ES) CGL2016-75904-C2Ministry of Education, Youth and Sports (CZ) Project Biodiverzity (CZ.02.1.01/0.0/0.0/16_025/0007370)Seventh Framework Programme KBBE.2013.1.2-659 10 under grant agreement n° 613611 FISHBOOST projectXunta de Galicia (ES) ED431C 2020-05
6 · The paper itself

Abstract

backgroundThe high fecundity of fish species allows intense selection to be practised and therefore leads to fast genetic gains. Based on this, numerous selective breeding programmes have been started in Europe in the last decades, but in general, little is known about how the base populations of breeders have been built. Such knowledge is important because base populations can be created from very few individuals, which can lead to small effective population sizes and associated reductions in genetic variability. In this study, we used genomic information that was recently made available for turbot (Scophthalmus maximus), gilthead seabream (Sparus aurata), European seabass (Dicentrarchus labrax) and common carp (Cyprinus carpio) to obtain accurate estimates of the effective size for commercial populations.

methodsRestriction-site associated DNA sequencing data were used to estimate current and historical effective population sizes. We used a novel method that considers the linkage disequilibrium spectrum for the whole range of genetic distances between all pairs of single nucleotide polymorphisms (SNPs), and thus accounts for potential fluctuations in population size over time.

resultsOur results show that the current effective population size for these populations is small (equal to or less than 50 fish), potentially putting the sustainability of the breeding programmes at risk. We have also detected important drops in effective population size about five to nine generations ago, most likely as a result of domestication and the start of selective breeding programmes for these species in Europe.

conclusionsOur findings highlight the need to broaden the genetic composition of the base populations from which selection programmes start, and suggest that measures designed to increase effective population size within all farmed populations analysed here should be implemented in order to manage genetic variability and ensure the sustainability of the breeding programmes.

Indexed as

BassCarpsFlatfishesSea BreamAnimalsHumansPopulation DensitySelective Breeding

Identifiers

PMID34742227
PMCPMC8572424
OpenAlexW3214612242

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.