Evidence map›Paper›PMID 33056985›Full record

ArticleNature communications2020

The structural variation landscape in 492 Atlantic salmon genomes.

Alicia C Bertolotti, Ryan M Layer, Manu Kumar Gundappa, Michael D Gallagher, Ege Pehlivanoglu, Torfinn Nome, Diego Robledo, Matthew P Kent, Line L Røsæg, Matilde M Holen and 13 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
5.9field-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

61 citing papers in PubMed, 119 citations in OpenAlex.

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  6. The pangenome ofiScience · 2026
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1 more citing papers are in PubMed but not listed here.

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

23 authors at 9 institutions in 5 countries.

Alicia C BertolottiSchool of Biological Sciences, University of Aberdeen, Tillydrone Avenue, Aberdeen, UK.
Ryan M LayerBioFrontiers Institute, University of Colorado, Boulder, CO, USA.ORCID 0000-0002-5823-3232
Manu Kumar GundappaThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.
Michael D GallagherThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-1103-3994
Ege PehlivanogluThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.
Torfinn NomeCentre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.ORCID 0000-0003-1659-132X
Diego RobledoThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.
Matthew P KentCentre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.
Line L RøsægCentre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.
Matilde M HolenCentre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.
Teshome D MulugetaCentre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.
Thomas J AshtonXelect Ltd, Horizon House, St Andrews, UK.
Kjetil HindarNorwegian Institute for Nature Research (NINA), P.O. Box 5685 Torgarden, 7485, Trondheim, Norway.
Harald SægrovRådgivende Biologer AS, Bergen, Norway.
Bjørn Florø-LarsenNorwegian Veterinary Institute, P.O. Box 750 Sentrum, 0106, Oslo, Norway.
Jaakko ErkinaroNatural Resources Institute Finland (Luke), P.O. Box 413, FI-90014, Oulu, Finland.ORCID 0000-0002-7843-0364
Craig R PrimmerInstitute for Biotechnology, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-3687-8435
Louis BernatchezInstitut de Biologie Intégrative et des Systèmes (IBIS) Pavillon Charles-Eugène Marchand, Université Laval Québec, Québec, QC, Canada.ORCID 0000-0002-8085-9709
Samuel A M MartinSchool of Biological Sciences, University of Aberdeen, Tillydrone Avenue, Aberdeen, UK.ORCID 0000-0003-0289-6317
Ian A JohnstonXelect Ltd, Horizon House, St Andrews, UK.
Simen R SandveCentre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.ORCID 0000-0003-4989-5311
Sigbjørn LienCentre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway. sigbjorn.lien@nmbu.no.ORCID 0000-0002-5159-1950
Daniel J MacqueenThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK. daniel.macqueen@roslin.ed.ac.uk.ORCID 0000-0001-8050-7722
Norwegian University of Life Sciences · NORoslin Institute · GBNatural Resources Institute Finland · FINorwegian Institute for Nature Research · NONorwegian Veterinary Institute · NOUniversité Laval · CAUniversity of Aberdeen · GBUniversity of Colorado Boulder · USUniversity of Helsinki · FI

Funding

Biotechnology and Biological Sciences Research Council BB/M016455/1Biotechnology and Biological Sciences Research Council BB/S004181/1Biotechnology and Biological Sciences Research Council BBS/E/D/10002070Biotechnology and Biological Sciences Research Council BBS/E/D/30002275
6 · The paper itself

Abstract

Structural variants (SVs) are a major source of genetic and phenotypic variation, but remain challenging to accurately type and are hence poorly characterized in most species. We present an approach for reliable SV discovery in non-model species using whole genome sequencing and report 15,483 high-confidence SVs in 492 Atlantic salmon (Salmo salar L.) sampled from a broad phylogeographic distribution. These SVs recover population genetic structure with high resolution, include an active DNA transposon, widely affect functional features, and overlap more duplicated genes retained from an ancestral salmonid autotetraploidization event than expected. Changes in SV allele frequency between wild and farmed fish indicate polygenic selection on behavioural traits during domestication, targeting brain-expressed synaptic networks linked to neurological disorders in humans. This study offers novel insights into the role of SVs in genome evolution and the genetic architecture of domestication traits, along with resources supporting reliable SV discovery in non-model species.

Indexed as

DomesticationGenomeGenomic Structural VariationAnimalsAnimals, WildDNA Transposable ElementsFisheriesGene DuplicationGene FrequencyGenetics, PopulationGenetic VariationGenotyping TechniquesMaleMolecular Sequence AnnotationPhylogeographySalmo salarDNA Transposable Elements

Identifiers

PMID33056985
PMCPMC7560756
OpenAlexW3093273845

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.