Evidence map›Paper›PMID 30622641›Full record

ArticleEvolutionary applications2019

Comparing genomic signatures of domestication in two Atlantic salmon (

Maria E López, Laura Benestan, Jean-Sebastien Moore, Charles Perrier, John Gilbey, Alex Di Genova, Alejandro Maass, Diego Diaz, Jean-Paul Lhorente, Katharina Correa and 3 more

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 56 citations in OpenAlex.

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  14. Domestication of farmed fishFrontiers in endocrinology · 2022
    Review
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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

13 authors at 6 institutions in 6 countries.

Maria E LópezFacultad de Ciencias Veterinarias y Pecuarias Universidad de Chile Santiago Chile.
Laura BenestanIBIS Institut de Biologie Intégrative et des Systèmes Université Laval Québec City Québec Canada.
Jean-Sebastien MooreIBIS Institut de Biologie Intégrative et des Systèmes Université Laval Québec City Québec Canada.
Charles PerrierCentre d'Écologie Fonctionnelle et Évolutive Unité Mixte de Recherche CNRS 5175 Montpellier France.
John GilbeyMarine Scotland Science Freshwater Fisheries Laboratory Faskally Pitlochry UK.
Alex Di GenovaLaboratory of Bioinformatics and Mathematics of the Genome Center for Mathematical Modeling (UMI 2807 CNRS) and Center for Genome Regulation (Fondap 15090007) Universidad de Chile Santiago Chile.
Alejandro MaassLaboratory of Bioinformatics and Mathematics of the Genome Center for Mathematical Modeling (UMI 2807 CNRS) and Center for Genome Regulation (Fondap 15090007) Universidad de Chile Santiago Chile.
Diego DiazLaboratory of Bioinformatics and Mathematics of the Genome Center for Mathematical Modeling (UMI 2807 CNRS) and Center for Genome Regulation (Fondap 15090007) Universidad de Chile Santiago Chile.
Jean-Paul LhorenteAquainnovo Puerto Montt Chile.
Katharina CorreaAquainnovo Puerto Montt Chile.
Roberto NeiraFacultad de Ciencias Agronómicas Universidad de Chile Santiago Chile.
Louis BernatchezIBIS Institut de Biologie Intégrative et des Systèmes Université Laval Québec City Québec Canada.
José M YáñezFacultad de Ciencias Veterinarias y Pecuarias Universidad de Chile Santiago Chile.ORCID 0000-0002-6612-4087
Center for Genomic Science · ITUniversidad Bernardo O'Higgins · CLUniversité Laval · CAInstituto Tecnológico del Salmón · CLCentre National de la Recherche Scientifique · FRMarine Scotland · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selective breeding and genetic improvement have left detectable signatures on the genomes of domestic species. The elucidation of such signatures is fundamental for detecting genomic regions of biological relevance to domestication and improving management practices. In aquaculture, domestication was carried out independently in different locations worldwide, which provides opportunities to study the parallel effects of domestication on the genome of individuals that have been selected for similar traits. In this study, we aimed to detect potential genomic signatures of domestication in two independent pairs of wild/domesticated Atlantic salmon populations of Canadian and Scottish origins, respectively. Putative genomic regions under divergent selection were investigated using a 200K SNP array by combining three different statistical methods based either on allele frequencies (LFMM, Bayescan) or haplotype differentiation (Rsb). We identified 337 and 270 SNPs potentially under divergent selection in wild and hatchery populations of Canadian and Scottish origins, respectively. We observed little overlap between results obtained from different statistical methods, highlighting the need to test complementary approaches for detecting a broad range of genomic footprints of selection. The vast majority of the outliers detected were population-specific but we found four candidate genes that were shared between the populations. We propose that these candidate genes may play a role in the parallel process of domestication. Overall, our results suggest that genetic drift may have override the effect of artificial selection and/or point toward a different genetic basis underlying the expression of similar traits in different domesticated strains. Finally, it is likely that domestication may predominantly target polygenic traits (e.g., growth) such that its genomic impact might be more difficult to detect with methods assuming selective sweeps.

Indexed as

Salmo salarselective sweepssingle nucleotide polymorphisms

Identifiers

PMID30622641
PMCPMC6304691
OpenAlexW2885239954

What Socratic 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 Socratic graph.