M. Takou

Predicting gene expression responses to environment in Arabidopsis thaliana using natural variation in DNA sequence

This study uses machine learning to predict gene expression responses to cold stress in Arabidopsis thaliana based on DNA sequence variation, finding moderate accuracy but highlighting challenges from regulatory complexity.

The genomics and physiology of abiotic stressors associated with global elevation gradients in Arabidopsis thaliana

This study investigates elevational adaptation in Arabidopsis thaliana by analyzing genetic and physiological responses to abiotic stressors across different regions.

Estimating scale-specific and localized spatial patterns in allele frequency

This study introduces a wavelet-based method to analyze spatial patterns in allele frequencies and applies it to Arabidopsis thaliana to identify locally adapted loci across scales.

Maintenance of adaptive dynamics and no detectable load in a range-edge out-crossing plant population

The paper examines a range-edge population of Arabidopsis lyrata ssp petraea and finds it maintains adaptive dynamics and no detectable fitness load despite genetic drift and increased genomic burden of deleterious mutations.