A single nucleotide polymorphism genotyping panel for efficient genetic stock identification of the Teno river Atlantic salmon ( <scp> <i>Salmo salar</i> </scp> ) population complex

A new single nucleotide polymorphism (SNP) panel for genetic stock identification in the Teno river Atlantic salmon, Salmo salar L., fishery was developed, with a view to improving on an existing microsatellite panel. Twenty-two genetically differentiated reporting units were proposed based on population genetic analyses of 1212 individuals collected at 37 locations in the river and genotyped for >33,000 genome-wide SNPs. A small subset of these SNPs was selected for genetic stock identification (GSI) using an iterative process that considered their diversity and differentiation across reporting units. A genotyping-by-sequencing assay was developed to simultaneously genotype 180 of these GSI SNPs plus a sexing marker. This new SNP panel showed comparative GSI power to the microsatellite panel, with anticipated improvements in terms of cost, speed and robustness, and transferability across laboratories and genotyping platforms. Mixed-stock analysis of the 2018 Teno river salmon catch using the new panel inferred that all 22 reporting units contributed to the fishery. Estimated catch proportions positively scaled with an independent estimate of reporting unit productivity: target spawning female biomass. This demonstrates the usefulness and efficiency of the 180 SNP panel for Atlantic salmon GSI in the Teno river system. If conducted on a regular basis, GSI can enable fine-tuning of management strategies to promote sustainable fishing.

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Publication Details

Journal
Journal of Fish Biology
Published
2025-09-01
DOI
https://doi.org/10.1111/jfb.70179
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
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article

A single nucleotide polymorphism genotyping panel for efficient genetic stock identification of the Teno river Atlantic salmon ( Salmo salar ) population complex

Panu Orell, Morten Falkegård, Victoria L. Pritchard, Jaakko Erkinaro et al.
Journal of Fish Biology
Genetic and phenotypic traits in livestock
article

A single nucleotide polymorphism genotyping panel for efficient genetic stock identification of the Teno river Atlantic salmon ( Salmo salar ) population complex

Panu Orell, Morten Falkegård, Victoria L. Pritchard, Jaakko Erkinaro, Helena Johansson, Anders Foldvik, Craig R. Primmer
article en

Abstract

A new single nucleotide polymorphism (SNP) panel for genetic stock identification in the Teno river Atlantic salmon, Salmo salar L., fishery was developed, with a view to improving on an existing microsatellite panel. Twenty-two genetically differentiated reporting units were proposed based on population genetic analyses of 1212 individuals collected at 37 locations in the river and genotyped for >33,000 genome-wide SNPs. A small subset of these SNPs was selected for genetic stock identification (GSI) using an iterative process that considered their diversity and differentiation across reporting units. A genotyping-by-sequencing assay was developed to simultaneously genotype 180 of these GSI SNPs plus a sexing marker. This new SNP panel showed comparative GSI power to the microsatellite panel, with anticipated improvements in terms of cost, speed and robustness, and transferability across laboratories and genotyping platforms. Mixed-stock analysis of the 2018 Teno river salmon catch using the new panel inferred that all 22 reporting units contributed to the fishery. Estimated catch proportions positively scaled with an independent estimate of reporting unit productivity: target spawning female biomass. This demonstrates the usefulness and efficiency of the 180 SNP panel for Atlantic salmon GSI in the Teno river system. If conducted on a regular basis, GSI can enable fine-tuning of management strategies to promote sustainable fishing.

Journal of Fish Biology
University of Helsinki (FI), Natural Resources Institute Finland (FI), Inverness Research (United States) (US), Norwegian Institute for Nature Research (NO)
Helsingin Yliopisto, Academy of Finland, Norsk institutt for naturforskning
Openalex Percentile: Top 75%
Genetic and phenotypic traits in livestock
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