Arnaud Estoup

A new iterative framework for simulation-based population genetic inference with improved coverage properties of confidence intervals

The paper introduces an iterative framework for population genetic inference using simulation and machine learning, showing improved confidence interval coverage compared to existing methods.

Genome-Environment Associations reveal shared and unique adaptive loci across multiple pollutants and populations of the eastern mosquitofish Gambusia holbrooki

The paper identifies adaptive loci associated with pollution tolerance in Gambusia holbrooki using genome-environment association analyses across multiple pollutants and populations.

Adaptive challenges of past and future invasion of Drosophila suzukii: insights from novel genomic resources and statistical methods combining individual and pool sequencing data

This study uses genomic data and statistical methods to analyze adaptation in Drosophila suzukii during past and future invasions, identifying genomic regions associated with invasion success and predicting future invasion risks.

The genomic basis of colour pattern polymorphism in the harlequin ladybird

This study identifies the gene pannier as controlling melanic pattern polymorphism in the harlequin ladybird through cis-regulatory allelic variation.