Plant-necrotroph co-transcriptome networks illuminate a metabolic battlefield.

A central goal of studying host-pathogen interaction is to understand how host and pathogen manipulate each other to promote their own fitness in a pathosystem. Co-transcriptomic approaches can simultaneously analyze dual transcriptomes during infection and provide a systematic map of the cross-kingdom communication between two species. Here we used the Arabidopsis- pathosystem to test how plant host and fungal pathogen interact at the transcriptomic level.

Cytoplasmic genetic variation and extensive cytonuclear interactions influence natural variation in the metabolome.

Understanding genome to phenotype linkages has been greatly enabled by genomic sequencing. However, most genome analysis is typically confined to the nuclear genome. We conducted a metabolomic QTL analysis on a reciprocal RIL population structured to examine how variation in the organelle genomes affects phenotypic variation.