Simultaneous RNA-Seq Analysis of a Mixed Transcriptome of Rice and Blast Fungus Interaction

To understand the plant-pathogen interaction comprehensively, it is valuable to monitor the gene expression profiles of both interacting organisms simultaneously in the same infected plant tissue. Using RNA-Seq, we analyzed the mixed transcriptome of rice and blast fungus in infected leaves at 24 hours post-inoculation. We demonstrated that our method detected the gene expression of both the host plant and pathogen simultaneously in the same infected leaf blades in natural infection conditions without any artificial treatments. Using compatible (Ina86-137) and incompatible (P91-15B) fungal strains as pathogens, we revealed the differential expression profiles of the compatible and incompatible interactions and observed that the responsive gene expression was more drastic in the incompatible interaction. Our mixed transcriptome analysis is useful for the simultaneous elucidation of the tactics of host plant defense and pathogen attack.

Identifier
Source https://data.blue-cloud.org/search-details?step=~012B65099A01D6F398CA7C39F056F45BF6A6E7901A6
Metadata Access https://data.blue-cloud.org/api/collections/B65099A01D6F398CA7C39F056F45BF6A6E7901A6
Provenance
Instrument Illumina Genome Analyzer IIx; ILLUMINA
Publisher Blue-Cloud Data Discovery & Access service; ELIXIR-ENA
Publication Year 2024
OpenAccess true
Contact blue-cloud-support(at)maris.nl
Representation
Discipline Marine Science
Temporal Point 2012-12-27T00:00:00Z