Evidence map›Paper›PMID 34025778›Full record

ArticleEvolutionary applications2021

Selection against individuals from genetic introgression of escaped farmed salmon in a natural population of Atlantic salmon.

Sebastian Wacker, Tonje Aronsen, Sten Karlsson, Ola Ugedal, Ola H Diserud, Eva M Ulvan, Kjetil Hindar, Tor F Næsje

Abstract read
In one paragraph

Article in Evolutionary applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Population Genetics ofEcology and evolution · 2026
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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

8 authors.

Sebastian WackerNorwegian Institute for Nature Research Trondheim Norway.ORCID https://orcid.org/0000-0002-3035-8615
Tonje AronsenNorwegian Institute for Nature Research Trondheim Norway.
Sten KarlssonNorwegian Institute for Nature Research Trondheim Norway.
Ola UgedalNorwegian Institute for Nature Research Trondheim Norway.
Ola H DiserudNorwegian Institute for Nature Research Trondheim Norway.
Eva M UlvanNorwegian Institute for Nature Research Trondheim Norway.
Kjetil HindarNorwegian Institute for Nature Research Trondheim Norway.
Tor F NæsjeNorwegian Institute for Nature Research Trondheim Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The viability of wild Atlantic salmon populations is threatened by genetic introgression from escaped farmed salmon. Farmed Atlantic salmon are genetically improved for important commercial traits and a life in captivity but are poorly adapted to the natural environment. The rate of gene flow from escaped farmed to wild salmon depends on their spawning success and on offspring survival at various life stages. We here investigate relative survival of introgressed juvenile Atlantic salmon (parr) in a river in northern Norway. The studied population has experienced genetic introgression from farmed salmon for about four generations (20 years). We followed two cohorts of parr from the year of hatching (0+) to the age of 2 years (2+). Farmed genetic introgression was quantified at the individual level and on a continuous scale using diagnostic SNPs. Population-level genetic introgression decreased from 0+ to 2+ by 64% (2011 cohort) and 37% (2013 cohort). This change was driven by a 70% (2011 cohort) and 49% (2013 cohort) lower survival from age 0+ to 2+ in introgressed parr compared to parr of wild origin. Our observations show that there is natural selection against genetic introgression with a potential cost of lower productivity.

Indexed as

aquacultureAtlantic salmonfarmed salmongenetic introgressionSalmo salarsurvival

Identifiers

PMID34025778
PMCPMC8127704

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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.