Mathieu Gautier

The paper investigates how adaptive tracking contributes to the invasion success of Drosophila suzukii by showing rapid evolution of thermal tolerance and other traits in response to environmental conditions.

The study identifies a selective sweep linked to xenobiotic detoxification in the pine processionary moth along altitudinal gradients, suggesting local selective pressures from xenobiotic exposure.

The paper updates the RZooRoH package to improve computational efficiency and interpretability in analyzing inbreeding, identity-by-descent, and relatedness from genomic data.

This paper presents a chromosome-level genome assembly and annotation of the pine processionary moth, improving upon previous assemblies and providing resources for population genomics research.

The paper identifies barrier loci across a divergence continuum in pea aphids, showing their clustering in low-recombination regions and enrichment for genes related to host specialization.

The paper examines adaptive tracking in Drosophila suzukii, finding that polygenic traits like thermal tolerance show delayed evolutionary responses, while oligogenic traits exhibit stronger seasonal genomic signatures.

The paper identifies genetic markers associated with migration behavior in European eels by comparing genetic differentiation between ocean and river sites, and between migrant and non-migrant phenotypes.

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 paper re-analyzes genome data from sympatric and allopatric populations of pine processionary moths to study allochronic divergence, finding recent population splits, reduced gene flow, and loci linked to circadian genes.

The paper uses DEST 2.0 to analyze genetic variation in D. melanogaster across continents and time, identifying adaptation patterns and stable spatial genetic structures.

The paper evaluates methods for predicting inbreeding levels using genomic data in small populations, finding that model-based and rule-based approaches perform well under various conditions.

This paper develops unbiased method-of-moments estimators for hierarchical F-statistics tailored for Pool-Seq data and validates them using simulations and real Drosophila data.

This paper presents the first nuclear and mitogenome assemblies for Hylesia metabus, revealing that transposable element accumulation drives genome size increase.

This study reconstructs the genetic history of feral cattle on Amsterdam Island, revealing a bottleneck, ancestry contributions, and genetic adaptation to the environment.

This study evaluates Genomic Offset (GO) as a predictor of establishment probability in invasive species using simulations and empirical data from Bactrocera tryoni.

The paper introduces a k-mer-based method to detect contamination and mislabeling in Drosophila suzukii sequence data, reassigning some samples and identifying contamination in others.

The paper introduces a new hidden Markov model for estimating homozygous-by-descent probabilities with nested ancestor layers, improving accuracy and interpretability over previous methods.

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

This paper introduces a whole-genome-based model to estimate and characterize individual inbreeding by considering multiple age-based classes and using a hidden Markov model framework.

The paper investigates genetic associations between immune-related genes and Puumala hantavirus epidemiology in bank voles across Sweden.

The paper upgrades the rehh R package to improve performance for detecting positive selection using haplotype homozygosity statistics on large datasets.