Bertrand Servin

This study uses genomic data to analyze the genetic diversity and management history of French local horse breeds, showing distinct patterns of kinship and inbreeding linked to different management practices.

SelNeTime infers effective population size and selection intensity from genomic time series data using an improved HMM approach with Beta with Spikes approximation.

The paper maps crossover events in honeybees using whole genome sequencing to identify genetic determinants of recombination rate variation.

This paper uses genotype imputation to analyze low coverage ancient goat genomes, revealing demographic patterns and genetic consequences of domestication.

This study builds sex-specific recombination maps and identifies genetic loci associated with recombination rates in two French goat breeds.

This study performs genome-wide association analysis on honey bee colonies to identify genetic markers linked to Varroa destructor resistance, revealing a polygenic architecture and supporting genomic selection strategies.

The paper introduces SMARTER-database, a tool to standardize and integrate SNP array datasets for sheep and goat breeds to enhance genetic diversity analysis.

This study identifies the genetic architecture of recombination rates in wild house sparrows, showing they are polygenic and differ between sexes with distinct heritability and genetic correlations.

The paper presents a high-quality genome assembly for the black honey bee (Apis mellifera mellifera) and demonstrates its utility for structural variant genotyping and pan-genome analysis.

This study compares seven genomic cross selection criteria to improve genetic gain and diversity in inbred plant breeding by evaluating their impact on progeny performance and genetic variance.

This paper presents statistical methods to estimate genetic ancestry and reconstruct queen genotype from pool sequencing data of eusocial colonies, achieving high accuracy with low error rates.

The paper analyzes genetic structure in Western European honey bees using SNP data from 870 drones, identifying nine genetic backgrounds and large haplotype blocks.

The paper identifies genomic regions associated with phenotypic traits in European local pig breeds using genetic and phenotypic data.

The paper analyzes recombination landscapes in four diverging bread wheat populations using SNP data and LD patterns to show rapid evolution of recombination hotspots.

The paper compares parametric approximations to the Wright-Fisher model for inferring selection from genetic time series and finds the Beta-with-Spikes model performs best.

This study identifies 126 genomic regions under selection in French sheep, revealing allelic heterogeneity and introgression at adaptive loci.

The paper analyzes recombination patterns in sheep using multiple datasets, identifies genetic loci affecting recombination rate variation, and compares results across breeds.

This study re-analyzes the Sheep Hapmap dataset to identify selection signatures in worldwide sheep populations, distinguishing between recent and older selection pressures.