Evidence map›Paper›PMID 32033538›Full record

ArticleBMC genetics2020

Epistatic regulation of growth in Atlantic salmon revealed: a QTL study performed on the domesticated-wild interface.

Francois Besnier, Monica F Solberg, Alison C Harvey, Gary R Carvalho, Dorte Bekkevold, Martin I Taylor, Simon Creer, Einar E Nielsen, Øystein Skaala, Fernando Ayllon and 2 more

Abstract read
In one paragraph

Article in BMC genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Mutations Upstream of ppp2ca Affect Body Weight in Asian Seabass.Marine biotechnology (New York, N.Y.) · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. AutosomalFrontiers in genetics · 2020
    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

12 authors.

Francois BesnierPopulation Genetics Research group, Institute of Marine Research, P.O. Box 1870, Nordnes, NO-5817, Bergen, Norway. francois.besnier@hi.no.ORCID 0000-0002-7186-2121
Monica F SolbergPopulation Genetics Research group, Institute of Marine Research, P.O. Box 1870, Nordnes, NO-5817, Bergen, Norway.
Alison C HarveyPopulation Genetics Research group, Institute of Marine Research, P.O. Box 1870, Nordnes, NO-5817, Bergen, Norway.
Gary R CarvalhoMolecular Ecology and Fisheries Genetics Laboratory, School of Biological Sciences, Bangor University, Deiniol Road, Bangor, LL57 2UW, UK.
Dorte BekkevoldSection for Marine Living Resources, National Institute of Aquatic Resources, Technical University of Denmark, Vejlsøvej 39, 8600, Silkeborg, Denmark.
Martin I TaylorSchool of Biological Sciences, University of East Anglia, Norwich, NR4 7TJ, UK.
Simon CreerMolecular Ecology and Fisheries Genetics Laboratory, School of Biological Sciences, Bangor University, Deiniol Road, Bangor, LL57 2UW, UK.
Einar E NielsenSection for Marine Living Resources, National Institute of Aquatic Resources, Technical University of Denmark, Vejlsøvej 39, 8600, Silkeborg, Denmark.
Øystein SkaalaPopulation Genetics Research group, Institute of Marine Research, P.O. Box 1870, Nordnes, NO-5817, Bergen, Norway.
Fernando AyllonPopulation Genetics Research group, Institute of Marine Research, P.O. Box 1870, Nordnes, NO-5817, Bergen, Norway.
Geir DahlePopulation Genetics Research group, Institute of Marine Research, P.O. Box 1870, Nordnes, NO-5817, Bergen, Norway.
Kevin A GloverPopulation Genetics Research group, Institute of Marine Research, P.O. Box 1870, Nordnes, NO-5817, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantitative traits are typically considered to be under additive genetic control. Although there are indications that non-additive factors have the potential to contribute to trait variation, experimental demonstration remains scarce. Here, we investigated the genetic basis of growth in Atlantic salmon by exploiting the high level of genetic diversity and trait expression among domesticated, hybrid and wild populations.

resultsAfter rearing fish in common-garden experiments under aquaculture conditions, we performed a variance component analysis in four mapping populations totaling ~ 7000 individuals from six wild, two domesticated and three F1 wild/domesticated hybrid strains. Across the four independent datasets, genome-wide significant quantitative trait loci (QTLs) associated with weight and length were detected on a total of 18 chromosomes, reflecting the polygenic nature of growth. Significant QTLs correlated with both length and weight were detected on chromosomes 2, 6 and 9 in multiple datasets. Significantly, epistatic QTLs were detected in all datasets. DISCUSSION: The observed interactions demonstrated that the phenotypic effect of inheriting an allele deviated between half-sib families. Gene-by-gene interactions were also suggested, where the combined effect of two loci resulted in a genetic effect upon phenotypic variance, while no genetic effect was detected when the two loci were considered separately. To our knowledge, this is the first documentation of epistasis in a quantitative trait in Atlantic salmon. These novel results are of relevance for breeding programs, and for predicting the evolutionary consequences of domestication-introgression in wild populations.

Indexed as

DomesticationEpistasis, GeneticQuantitative Trait LociAnimalsBreedingChromosome MappingFemaleGenetic LinkageMalePhenotypeSalmo salarGrowthHybridInheritanceIntrogressionLinkage mappingNon-additive

Identifiers

PMID32033538
PMCPMC7006396

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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.