Laurent Excoffier

The paper models how deleterious mutations affect genomic diversity during population bottlenecks and range expansions, finding that dominance levels influence diversity preservation and trough formation.

The paper uses whole genomes to show that cichlid fish species in Lake Victoria and nearby lakes diversified extremely rapidly, with speciation rates much higher than previously estimated.

This study extends the fitness-class coalescent model to account for arbitrary levels of purifying selection, revealing biases in demographic inference caused by selection.

This study analyzes tiger genomes to understand their evolutionary history, finding genetic differentiation, recent divergence, and selection pressures in different subspecies.

The paper reconstructs 9000 years of agricultural diet in Asia and shows its impact on genetic variation in 29 Asian populations, identifying genes related to metabolism as targets of dietary-driven selection.

This paper analyzes ancient genomes from northeastern Siberia to reveal complex population migrations and admixture events over the past 40,000 years.

This study shows artificial selection can counteract the negative effects of bacterial range expansion by increasing expansion speed through loss of function mutations.

The paper examines genomic diversity in French Canadians to show that range expansion led to relaxed selection, increasing the frequency of deleterious mutations in colonizing populations.

The paper develops a method to detect gene subnetworks under selection in biological pathways, applying it to find adaptation signals to high-altitude in humans.

The paper examines genetic surfing in human populations, showing an increase in recessive mutation load with distance from Africa during human expansion.

The paper examines how distance from Sub-Saharan Africa correlates with mutational load in diverse human populations, finding that populations further from Africa have higher mutation loads due to recessive mutations.

The paper introduces a new statistical method, 2DNS, to detect selection acting on human biological pathways by analyzing genetic diversity and evolutionary constraints.

This study investigates expansion load in recessive mutations during population expansions, finding that mean fitness drops faster and mutation load can increase despite constant mutation numbers.

The paper identifies convergent genetic adaptations to high altitude in Asian and American populations using a hierarchical Bayesian method applied to a large SNP dataset.