Evidence map›Paper›PMID 26059968›Full record

ArticleHeredity2015

Identification of quantitative genetic components of fitness variation in farmed, hybrid and native salmon in the wild.

F Besnier, K A Glover, S Lien, M Kent, M M Hansen, X Shen, Ø Skaala

Abstract read
In one paragraph

Article in Heredity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Domestication of farmed fishFrontiers in endocrinology · 2022
    Review
  8. Article
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  10. Article
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  12. Article
  13. Article
  14. AutosomalFrontiers in genetics · 2020
    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

7 authors.

F BesnierDepartment of Population Genetics and Ecology, Institute of Marine Research, Bergen, Norway.
K A GloverDepartment of Population Genetics and Ecology, Institute of Marine Research, Bergen, Norway.
S LienDepartment of Animal and Aquacultural Sciences, Centre for Integrative Genetics, Norwegian University of Life Sciences, Ås, Norway.
M KentDepartment of Animal and Aquacultural Sciences, Centre for Integrative Genetics, Norwegian University of Life Sciences, Ås, Norway.
M M Hansen1] Department of Population Genetics and Ecology, Institute of Marine Research, Bergen, Norway [2] Department of Bioscience, Aarhus University, Aarhus C, Denmark.
X Shen1] Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet, Stockholm, Sweden [2] MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine (IGMM), University of Edinburgh, Edinburgh, UK.
Ø SkaalaDepartment of Population Genetics and Ecology, Institute of Marine Research, Bergen, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Feral animals represent an important problem in many ecosystems due to interbreeding with wild conspecifics. Hybrid offspring from wild and domestic parents are often less adapted to local environment and ultimately, can reduce the fitness of the native population. This problem is an important concern in Norway, where each year, hundreds of thousands of farm Atlantic salmon escape from fish farms. Feral fish outnumber wild populations, leading to a possible loss of local adaptive genetic variation and erosion of genetic structure in wild populations. Studying the genetic factors underlying relative performance between wild and domesticated conspecific can help to better understand how domestication modifies the genetic background of populations, and how it may alter their ability to adapt to the natural environment. Here, based upon a large-scale release of wild, farm and wild x farm salmon crosses into a natural river system, a genome-wide quantitative trait locus (QTL) scan was performed on the offspring of 50 full-sib families, for traits related to fitness (length, weight, condition factor and survival). Six QTLs were detected as significant contributors to the phenotypic variation of the first three traits, explaining collectively between 9.8 and 14.8% of the phenotypic variation. The seventh QTL had a significant contribution to the variation in survival, and is regarded as a key factor to understand the fitness variability observed among salmon in the river. Interestingly, strong allelic correlation within one of the QTL regions in farmed salmon might reflect a recent selective sweep due to artificial selection.

Indexed as

Genetic FitnessQuantitative Trait LociAllelesAnimalsAnimals, WildAquacultureCrosses, GeneticGenetics, PopulationGenotypeModels, GeneticNorwayPhenotypeRiversSalmo salar

Identifiers

PMID26059968
PMCPMC4815496

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.