show Abstracthide AbstractPhytophthora palmivora is the most prevalent oomycete plant pathogen species in the tropics. It causes significant economic losses in numerous unrelated monocot and dicot crops. Next generation plant resistance breeding relies on knowledge of the pathogens repertoire of pathogen secreted proteins, however genetic resources for this species are limited. Studying the dynamic transcriptome of P. palmivora in plant model system interactions provides valuable information on its infection strategies. Here we take dual transcriptomics approach, performing deep time-resolved RNA-seq of N. benthamiana infected with P. palmivora, followed by de novo assembly of P. palmivora transcriptome. This gives us an advantage to track transcriptional dynamics in both interacting organism simultaneously.