Conservation units for anadromous Arctic Char (Salvelinus alpinus) in the Canadian Arctic informed by genetic structure, population connectivity and adaptive genomic variation
Xavier Dallaire, Anne Beemelmanns, Les Harris…·Jean‐Sébastien Moore
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Université LavalORCID 0000-0002-3353-3730Unclaimed ORCID profile · follow to get notified of new preprints
7 papers
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Xavier Dallaire, Anne Beemelmanns, Les Harris…·Jean‐Sébastien Moore
Matthew J. H. Gilbert, Ella K. Middleton, Les N. Harris…·Ben Speers‐Roesch
This study investigates how Arctic char adjust their metabolism seasonally to conserve energy in winter and grow in summer, finding that food deprivation and cold temperatures significantly reduce resting energy expenditure.
Xavier Dallaire, Éric Normandeau, Thomas Brazier…·Jean‐Sébastien Moore
This study uses whole-genome sequencing of Arctic Char to analyze demographic history, finding mito-nuclear discordance and recombination impacts on introgression in admixed populations.
Inesh Munaweera, Les N. Harris, Jean‐Sébastien Moore…·Saman Muthukumarana
This paper estimates survival probabilities of Arctic char using Bayesian hierarchical models incorporating acoustic telemetry and environmental/biological data, finding that sea ice and Fulton's condition factor influence survival.
Xavier Dallaire, Raphaël Bouchard, Philippe Hénault…·Jean‐Sébastien Moore
The paper identifies deviant SNPs in whole-genome sequencing data from four species, showing their prevalence and impact on population genomic analyses.
Xavier Dallaire, Éric Normandeau, Julien Mainguy…·Jean‐Sébastien Moore
This study identifies neutral and adaptive genomic variation in Arctic Char populations across Nunavik, revealing genetic structure and local adaptation to environmental factors like temperature and salinity.
Laura Benestan, Jean‐Sébastien Moore, Ben J. G. Sutherland…·Louis Bernatchez
The paper shows that unbalanced sex ratios and sex-linked markers can cause false genetic differentiation signals in population studies, highlighting the need for sex information in genomic analyses.