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Genomics-based Mixed-stock Analysis of Brook Trout Reveals Cryptic Population Structure and Complex Lake Migrations

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Genomics-based Mixed-stock Analysis of Brook Trout Reveals Cryptic Population Structure and Complex Lake Migrations

Chamlian, Badrouyk (2024) Genomics-based Mixed-stock Analysis of Brook Trout Reveals Cryptic Population Structure and Complex Lake Migrations. Masters thesis, Concordia University.

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Abstract

Effective fishery management relies on knowing the contributions of genetically distinct populations to mixed-stock harvests. We investigated population genomic structure and harvest contributions of lake-migratory brook trout inhabiting three large Quebec lakes (Mistassini, Mistasiniishish, Waconichi). These brook trout support fisheries important to the Cree Nation of Mistissini and their tourism outfitting industry. Together with local partners we collected 1063 samples from spawning sites and feeding areas between 2020-2022. We then used a GTseq (Genotyping-in-Thousands by sequencing) panel of 393 single nucleotide polymorphisms to: i) infer population genetic structure and test for unknown populations; ii) assign individuals to their population of origin, and iii) determine harvest contributions of genetically distinct populations. Our results revealed population structure in two of three study lakes and extensive movements of brook trout, with some individuals travelling over 100km away from spawning rivers. In the largest lake (Mistassini), two of three populations contributed over 90% of the lake’s harvest and exhibited distinct spatial distributions that were stable across years. In Mistasiniishish Lake, over 80% of harvested trout originated from a single, previously known population; the remaining trout originated from a cryptic, unsampled population with a strongly overlapping spatial distribution. No population structure was detected in Waconichi Lake. We also detected low levels of migration from Mistasiniishish Lake into Mistassini Lake through a waterfall historically reported to be a dispersal barrier. Our results illustrate the precision afforded by GTseq to inform insights into the ecology and genetics of lake-migratory salmonids, thereby facilitating local management for sustainable fisheries.

Divisions:Concordia University > Faculty of Arts and Science > Biology
Item Type:Thesis (Masters)
Authors:Chamlian, Badrouyk
Institution:Concordia University
Degree Name:M. Sc.
Program:Biology
Date:9 April 2024
Thesis Supervisor(s):Fraser, Dylan
ID Code:994018
Deposited By: Badrouyk Chamlian
Deposited On:24 Oct 2024 15:33
Last Modified:24 Oct 2024 15:33
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