Evidence map›Paper›PMID 36357776›Full record

ArticleHeredity2022

Dissecting the loci underlying maturation timing in Atlantic salmon using haplotype and multi-SNP based association methods.

Marion Sinclair-Waters, Torfinn Nome, Jing Wang, Sigbjørn Lien, Matthew P Kent, Harald Sægrov, Bjørn Florø-Larsen, Geir H Bolstad, Craig R Primmer, Nicola J Barson

Open access · hybridAbstract read
In one paragraph

Article in Heredity, 2022. 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
3.2field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  3. A complex mechanism translating variation of a simple genetic architecture into alternative life histories.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

10 authors at 5 institutions in 3 countries.

Marion Sinclair-WatersOrganismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences University of Helsinki, Helsinki, Finland. msinclairwaters@gmail.com.
Torfinn NomeCentre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.ORCID http://orcid.org/0000-0003-1659-132X
Jing WangCentre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.ORCID http://orcid.org/0000-0002-3793-3264
Sigbjørn LienCentre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.ORCID http://orcid.org/0000-0002-5159-1950
Matthew P KentCentre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.
Harald SægrovRådgivende Biologer, Bergen, Norway.
Bjørn Florø-LarsenNorwegian Veterinary Institute, Trondheim, Norway.
Geir H BolstadNorwegian Institute for Nature Research (NINA), Trondheim, Norway.ORCID http://orcid.org/0000-0003-1356-8239
Craig R Primmer *Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-3687-8435
Nicola J Barson *Centre for Integrative Genetics, Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Ås, Norway.
Norwegian University of Life Sciences · NOUniversity of Helsinki · FINorwegian Institute for Nature Research · NONorwegian Veterinary Institute · NOSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing the role of different mutational effect sizes in the evolution of fitness-related traits has been a major goal in evolutionary biology for a century. Such characterization in a diversity of systems, both model and non-model, will help to understand the genetic processes underlying fitness variation. However, well-characterized genetic architectures of such traits in wild populations remain uncommon. In this study, we used haplotype-based and multi-SNP Bayesian association methods with sequencing data for 313 individuals from wild populations to test the mutational composition of known candidate regions for sea age at maturation in Atlantic salmon (Salmo salar). We detected an association at five loci out of 116 candidates previously identified in an aquaculture strain with maturation timing in wild Atlantic salmon. We found that at four of these five loci, variation explained by the locus was predominantly driven by a single SNP suggesting the genetic architecture of this trait includes multiple loci with simple, non-clustered alleles and a locus with potentially more complex alleles. This highlights the diversity of genetic architectures that can exist for fitness-related traits. Furthermore, this study provides a useful multi-SNP framework for future work using sequencing data to characterize genetic variation underlying phenotypes in wild populations.

Indexed as

Salmo salarAnimalsBayes TheoremHaplotypesPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID36357776
PMCPMC9709158
OpenAlexW4308772246

What OpenQuestion holds

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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.