Elisabeth Fournier

This paper introduces MADAM, a metagenomics approach for detecting fungal viruses, and identifies 18 RNA viruses in Pyricularia oryzae.

MIRA automates fungal spore counting and sizing using YOLO deep learning, achieving high accuracy and efficiency compared to manual methods.

This study analyzes P. oryzae genomes from the Yuanyang Terraces to show increased genomic diversity and lineage complexity compared to global populations, suggesting long-term crop diversity drives pathogen adaptation.

This study identifies a genomic region associated with microconidia production in Pyricularia oryzae using GWAS, suggesting potential genes involved in male fertility.

The paper identifies a South American lineage of Magnaporthe oryzae as the cause of a wheat blast outbreak in Bangladesh using transcriptome sequencing and population genomics.