Evidence map›Paper›PMID 39552382›Full record

ArticleMolecular ecology resources2025

Development of SNP Panels from Low-Coverage Whole Genome Sequencing (lcWGS) to Support Indigenous Fisheries for Three Salmonid Species in Northern Canada.

Anne Beemelmanns, Raphaël Bouchard, Sozos Michaelides, Eric Normandeau, Hyung-Bae Jeon, Badrouyk Chamlian, Charles Babin, Philippe Hénault, Océane Perrot, Les N Harris and 4 more

Abstract read
In one paragraph

Article in Molecular ecology resources, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A Practical Framework for GT-Seq Panel Optimization.Molecular ecology resources · 2026
    Article
  5. Article
  6. Conservation Units for Anadromous Arctic Char (Evolutionary applications · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

14 authors.

Anne BeemelmannsInstitut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Québec, Canada.ORCID https://orcid.org/0000-0002-8903-0681
Raphaël BouchardInstitut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Québec, Canada.ORCID https://orcid.org/0000-0002-8156-0274
Sozos MichaelidesDepartment of Biology, Concordia University, Montreal, Québec, Canada.ORCID https://orcid.org/0000-0001-7636-5768
Eric NormandeauInstitut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Québec, Canada.ORCID https://orcid.org/0000-0003-2841-9391
Hyung-Bae JeonDepartment of Biology, Concordia University, Montreal, Québec, Canada.ORCID https://orcid.org/0000-0002-0819-5004
Badrouyk ChamlianDepartment of Biology, Concordia University, Montreal, Québec, Canada.ORCID https://orcid.org/0000-0001-5858-6348
Charles BabinInstitut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Québec, Canada.ORCID https://orcid.org/0000-0002-7468-1756
Philippe HénaultInstitut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Québec, Canada.
Océane PerrotInstitut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Québec, Canada.
Les N HarrisFisheries and Oceans Canada, Arctic and Aquatic Research Division, Freshwater Institute, Winnipeg, Manitoba, Canada.ORCID https://orcid.org/0000-0002-8872-2635
Xinhua ZhuFisheries and Oceans Canada, Arctic and Aquatic Research Division, Freshwater Institute, Winnipeg, Manitoba, Canada.
Dylan FraserDepartment of Biology, Concordia University, Montreal, Québec, Canada.ORCID https://orcid.org/0000-0002-5686-7338
Louis BernatchezInstitut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Québec, Canada.ORCID https://orcid.org/0000-0002-8085-9709
Jean-Sébastien MooreInstitut de Biologie Intégrative et des Systèmes, Université Laval, Québec, Québec, Canada.ORCID https://orcid.org/0000-0002-3353-3730

Funding

Fisheries and Oceans Canada (DFO)Genome CanadaGénome QuébecMitacs IT16149Natural Sciences and Engineering Research Council of Canada (NSERC)Ontario GenomicsPolar Knowledge Canada NST-1718-0036Ressources Aquatiques Québec (RAQ)
6 · The paper itself

Abstract

Single nucleotide polymorphism (SNP) panels are powerful tools for assessing the genetic population structure and dispersal of fishes and can enhance management practices for commercial, recreational and subsistence mixed-stock fisheries. Arctic Char (Salvelinus alpinus), Brook Trout (Salvelinus fontinalis) and Lake Whitefish (Coregonus clupeaformis) are among the most harvested and consumed fish species in Northern Indigenous communities in Canada, contributing significantly to food security, culture, tradition and economy. However, genetic resources supporting Indigenous fisheries have not been widely accessible to northern communities (e.g. Inuit, Cree, Dene). Here, we developed Genotyping-in-Thousands by sequencing (GT-seq) panels for population assignment and mixed-stock analyses of three salmonids, to support fisheries stewardship or co-management in Northern Canada. Using low-coverage Whole Genome Sequencing data from 418 individuals across source populations in Cambridge Bay (Nunavut), Great Slave Lake (Northwest Territories), James Bay (Québec) and Mistassini Lake (Québec), we developed a bioinformatic SNP filtering workflow to select informative SNP markers from genotype likelihoods. These markers were then used to design GT-seq panels, thus enabling high-throughput genotyping for these species. The three GT-seq panels yielded an average of 413 autosomal loci and were validated using 525 individuals with an average assignment accuracy of 83%. Thus, these GT-seq panels are powerful tools for assessing population structure and quantifying the relative contributions of populations/stocks in mixed-stock fisheries across multiple regions. Interweaving genomic data derived from these tools with Traditional Ecological Knowledge will ensure the sustainable harvest of three culturally important salmonids in Indigenous communities, contributing to food security programmes and the economy in Northern Canada.

Indexed as

Genetics, PopulationGenotyping TechniquesPolymorphism, Single NucleotideSalmonidaeTroutWhole Genome SequencingAnimalsCanadaFisheriesGenotypegenomic toolsgenotyping‐in‐thousands by sequencing (GT‐seq)indigenous fisherieslow‐coverage whole genome sequencingpopulation assignmentsSNP filtering

Identifiers

PMID39552382
PMCPMC11887602

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.