Didier Tharreau

This study develops a digital PCR tool for early detection of Pyricularia oryzae in sports turfgrass, showing high sensitivity and identifying roots as a key matrix for monitoring.

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.

The paper investigates the potential threat of Cassava witches' broom disease fungus to cacao trees in French Guiana through cross-pathogenicity trials and PCR diagnostics.

This study identifies HMA proteins in rice as sensors that generate 2',3'-cNMP signaling molecules, which are perceived by CNL LRR domains to activate immunity against blast disease.

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.