Date of Award

2023

Publication Type

Thesis

Degree Name

M.A.Sc.

Department

Great Lakes Institute for Environmental Research

Keywords

Atlantic salmon, Lake Ontario, Salmo salar

Supervisor

D.Heath

Supervisor

C.Semeniuk

Rights

info:eu-repo/semantics/openAccess

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Plans to reintroduce Atlantic salmon in Lake Ontario tributaries consists of stocking hatchery-reared fish yearly which will help to achieve a self-sustaining population. The issue with reintroduction remains in understanding the distribution of fishes after stocking. Environmental DNA (eDNA) provides a sensitive approach for monitoring that can offer inferences into fish distribution. I determined the distribution of stocked Atlantic salmon downstream from stocking sites using qRT-PCR and metabarcoding. I found that Atlantic salmon eDNA detection was more sensitive using qRT-PCR (51%) versus metabarcoding HTS (18.3%). However, metabarcoding provided data on fish community assemblages, which can help to monitor ecological interactions. I also found that eDNA and microsatellite markers genotyped and assigned an estimate number of individuals to 68.3% of the positive Atlantic salmon NGS data. This data indicates that eDNA and microsatellites can be used as a non-invasive method to quantify and monitor communities.

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