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

Johansson_etal_2025_JFishBiol_A_single_nucleotide.pdf
Johansson_etal_2025_JFishBiol_A_single_nucleotide.pdf - Publisher's version - 3.02 MB
How to cite: Johansson, H., Erkinaro, J., Falkegård, M., Foldvik, A., Orell, P., Primmer, C. R., & Pritchard, V. L. (2025). A single nucleotide polymorphism genotyping panel for efficient genetic stock identification of the Teno river Atlantic salmon (Salmo salar) population complex. Journal of Fish Biology, 1–13. https://doi.org/10.1111/jfb.70179

Tiivistelmä

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.

ISBN

OKM-julkaisutyyppi

A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Julkaisusarja

Journal of fish biology

Volyymi

Numero

Sivut

Sivut

13 p.

ISSN

0022-1112
1095-8649