Evidence map›Paper›PMID 27606009›Full record

ArticleEvolutionary applications2016

Single nucleotide polymorphisms to discriminate different classes of hybrid between wild Atlantic salmon and aquaculture escapees.

Victoria L Pritchard, Jaakko Erkinaro, Matthew P Kent, Eero Niemelä, Panu Orell, Sigbjørn Lien, Craig R Primmer

Abstract read
In one paragraph

Article in Evolutionary applications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Victoria L PritchardDepartment of Biology University of Turku Turku Finland.ORCID 0000-0003-0992-7403
Jaakko ErkinaroNatural Resources Institute Finland (Luke) Utsjoki Finland.
Matthew P KentCentre for Integrative Genetics (CIGENE) Department of Animal and Aquacultural Sciences Norwegian University of Life Sciences Aas Norway.
Eero NiemeläNatural Resources Institute Finland (Luke) Utsjoki Finland.
Panu OrellNatural Resources Institute Finland (Luke) Utsjoki Finland.
Sigbjørn LienCentre for Integrative Genetics (CIGENE) Department of Animal and Aquacultural Sciences Norwegian University of Life Sciences Aas Norway.
Craig R PrimmerDepartment of Biology University of Turku Turku Finland.ORCID 0000-0002-3687-8435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many wild Atlantic salmon (Salmo salar) populations are threatened by introgressive hybridization from domesticated fish that have escaped from aquaculture facilities. A detailed understanding of the hybridization dynamics between wild salmon and aquaculture escapees requires discrimination of different hybrid classes; however, markers currently available to discriminate the two types of parental genome have limited power to do this. Using a high-density Atlantic salmon single nucleotide polymorphism (SNP) array, in combination with pooled-sample allelotyping and an Fst outlier approach, we identified 200 SNPs that differentiated an important Atlantic salmon stock from the escapees potentially hybridizing with it. By simulating multiple generations of wild-escapee hybridization, involving wild populations in two major phylogeographic lineages and a genetically diverse set of escapees, we showed that both the complete set of SNPs and smaller subsets could reliably assign individuals to different hybrid classes up to the third hybrid (F3) generation. This set of markers will be a useful tool for investigating the genetic interactions between native wild fish and aquaculture escapees in many Atlantic salmon populations.

Indexed as

allelotypingaquaculture escapeeAtlantic salmonintrogressive hybridizationSalmo salarSNP array

Identifiers

PMID27606009
PMCPMC4999531

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Registered trials

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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.