Éric Normandeau

The paper presents chromosome-scale genome assemblies of four duckweed species, revealing genomic plasticity and adaptations to aquatic environments through gene loss and pathway retention.

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.

The paper presents a chromosome-level genome assembly for brook trout using Hi-C and long-read sequencing, achieving high contiguity and annotation coverage.

This paper presents the first telomere-to-telomere genome assembly of Plasmodiophora brassicae, a plant pathogen, and provides a high-quality gene annotation.

The paper identifies deviant SNPs in whole-genome sequencing data from four species, showing their prevalence and impact on population genomic analyses.

SNPLift converts genetic variant coordinates between genome assemblies efficiently, achieving high accuracy across multiple species.

The paper uses genome-wide data to infer isolation-by-distance and population size history in coho salmon, identifying genes associated with latitude and potential osmoregulation roles.

This study provides a chromosome-scale genome assembly for Greenland Halibut and identifies a nascent XY sex determination system with a putative Y-autosomal fusion.

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.

The paper investigates how copy number variants (CNVs) drive genetic structure in capelin, finding associations with fitness traits, temperature, and population divergence, contrasting with SNP-based results.

This study shows that copy number variants (CNVs) better reveal genotype-temperature associations than SNPs in American lobster populations.

This study shows that standing genetic variation and chromosomal rearrangements contribute to local adaptation in capelin despite high gene flow.

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.