» Articles » PMID: 34295370

Genomic Data Support Management of Anadromous Arctic Char Fisheries in Nunavik by Highlighting Neutral and Putatively Adaptive Genetic Variation

Overview
Journal Evol Appl
Specialty Biology
Date 2021 Jul 23
PMID 34295370
Citations 10
Authors
Affiliations
Soon will be listed here.
Abstract

Distinguishing neutral and adaptive genetic variation is one of the main challenges in investigating processes shaping population structure in the wild, and landscape genomics can help identify signatures of adaptation to contrasting environments. Arctic Char () is an anadromous salmonid and the most harvested fish species by Inuit people, including in Nunavik (Québec, Canada), one of the most recently deglaciated regions in the world. Unlike many other anadromous salmonids, Arctic Char occupy coastal habitats near their natal rivers during their short marine phase restricted to the summer ice-free period. Our main objective was to document putatively neutral and adaptive genomic variation in anadromous Arctic Char populations from Nunavik and bordering regions to inform local fisheries management. We used genotyping by sequencing (GBS) to genotype 18,112 filtered single nucleotide polymorphisms (SNP) in 650 individuals from 23 sampling locations along >2000 km of coastline. Our results reveal a hierarchical genetic structure, whereby neighboring hydrographic systems harbor distinct populations grouped by major oceanographic basins: Hudson Bay, Hudson Strait, Ungava Bay, and Labrador Sea. We found genetic diversity and differentiation to be consistent both with the expected postglacial recolonization history and with patterns of isolation-by-distance reflecting contemporary gene flow. Results from three gene-environment association methods supported the hypothesis of local adaptation to both freshwater and marine environments (strongest associations with sea surface and air temperatures during summer and salinity). Our results support a fisheries management strategy at a regional scale, and other implications for hatchery projects and adaptation to climate change are discussed.

Citing Articles

SNP Polymorphisms Are Associated with Environmental Factors in Sockeye Salmon Populations Across the Northwest Pacific: Insights from Redundancy Analysis.

Khrustaleva A Genes (Basel). 2024; 15(11).

PMID: 39596685 PMC: 11593481. DOI: 10.3390/genes15111485.


Population genomics, life-history tactics, and mixed-stock subsistence fisheries in the northernmost American Atlantic salmon populations.

Carbonneau A, April J, Normandeau E, Ferchaud A, Nadeau V, Bernatchez L Evol Appl. 2024; 17(2):e13654.

PMID: 38405338 PMC: 10883791. DOI: 10.1111/eva.13654.


Genomic vulnerability of a freshwater salmonid under climate change.

Tigano A, Weir T, Ward H, Gale M, Wong C, Eliason E Evol Appl. 2024; 17(2):e13602.

PMID: 38343776 PMC: 10853590. DOI: 10.1111/eva.13602.


Characterization of gill bacterial microbiota in wild Arctic char () across lakes, rivers, and bays in the Canadian Arctic ecosystems.

Amill F, Gauthier J, Rautio M, Derome N Microbiol Spectr. 2024; 12(3):e0294323.

PMID: 38329329 PMC: 10923216. DOI: 10.1128/spectrum.02943-23.


Widespread Deviant Patterns of Heterozygosity in Whole-Genome Sequencing Due to Autopolyploidy, Repeated Elements, and Duplication.

Dallaire X, Bouchard R, Henault P, Ulmo-Diaz G, Normandeau E, Merot C Genome Biol Evol. 2023; 15(12).

PMID: 38085037 PMC: 10752349. DOI: 10.1093/gbe/evad229.


References
1.
Funk W, McKay J, Hohenlohe P, Allendorf F . Harnessing genomics for delineating conservation units. Trends Ecol Evol. 2012; 27(9):489-96. PMC: 4185076. DOI: 10.1016/j.tree.2012.05.012. View

2.
Forester B, Lasky J, Wagner H, Urban D . Comparing methods for detecting multilocus adaptation with multivariate genotype-environment associations. Mol Ecol. 2018; 27(9):2215-2233. DOI: 10.1111/mec.14584. View

3.
Toews D, Brelsford A . The biogeography of mitochondrial and nuclear discordance in animals. Mol Ecol. 2012; 21(16):3907-30. DOI: 10.1111/j.1365-294X.2012.05664.x. View

4.
Tiffin P, Ross-Ibarra J . Advances and limits of using population genetics to understand local adaptation. Trends Ecol Evol. 2014; 29(12):673-80. DOI: 10.1016/j.tree.2014.10.004. View

5.
Miller A, Hoffmann A, Tan M, Young M, Ahrens C, Cocomazzo M . Local and regional scale habitat heterogeneity contribute to genetic adaptation in a commercially important marine mollusc (Haliotis rubra) from southeastern Australia. Mol Ecol. 2019; 28(12):3053-3072. DOI: 10.1111/mec.15128. View