J. Y. Dutheil

This study compares methods for estimating genome-average recombination rates, finding that SMC approaches are accurate with single genomes but sensitive to gene conversion, while heterozygosity correlation methods are less affected by population size changes.

This study analyzes 2,478 fungal genomes to compare adaptive evolution rates across 20 species, finding that high adaptation rates are not exclusive to pathogens.

The paper investigates Cry4's role as a magnetoreceptor in migratory songbirds, showing strong positive selection and variability, and identifies its loss in certain bird groups.

This study compares adaptive molecular evolution rates in wild and domesticated Saccharomyces cerevisiae populations, finding higher adaptive evolution rates in wild populations.

The paper simulates evolution of gene-specific expression noise in gene regulatory networks, finding that central genes experience stronger selective pressure to reduce noise.

The paper identifies structural determinants of compensatory substitutions in bacterial proteins using phylogenetic analysis and structural data, showing coevolving residues are often in the core and in contact.

The paper develops a statistical method to jointly infer genealogies, recombination rates, and mutation rates in Drosophila melanogaster, finding that mutation rate variation is the major driver of genome-wide diversity.

The paper tests the adaptive walk model of gene evolution by analyzing population genomic data from Arabidopsis and Drosophila, finding that younger genes have higher molecular adaptation rates and larger physicochemical substitution effects.

The paper describes the accidental integration of a mitochondrial homing endonuclease into the nuclear genome of Ustilago maydis, resulting in a non-functional gene and a truncated helicase gene.

This study identifies genomic determinants of adaptive evolution in the fungal pathogen Zymoseptoria tritici by analyzing selection patterns and recombination rates across its genome.

This study compares recombination maps in two fungal plant pathogens, finding conserved large-scale patterns but divergent small-scale hotspots, suggesting dynamic recombination landscapes contributing to rapid evolution.

The paper analyzes transcriptional noise in mouse genes using single-cell transcriptomics data to show that pathway position, not just gene properties, drives evolutionary selection on noise levels.