RNA-sequencing technology has been widely adopted to investigate host responses during infection with pathogens. Dual RNA-sequencing (RNA-seq) allows the simultaneous capture of pathogen-specific transcripts during infection, providing a more complete view of the interaction. In this review, we focus on the design of dual RNAseq experiments and the application of downstream data analysis to gain biological insight into both sides of the interaction. Recent literature in this area demonstrates the power of the dual RNA-seq approach and shows that it is not limited to model systems where genomic resources are available. Sequencing costs continue to decrease and single cell transcriptomics is becoming more feasible. In combination with proteomics and metabolomics studies, these technological advances are likely to contribute to our understanding of the temporal and spatial aspects of dynamic plant-pathogen interactions.
A dual approach in plantaThe interaction between plants and pathogens is an active and dynamic process that can be likened to a duel. Plants have complex defence mechanisms that can be rendered ineffective when pathogens interfere with one of the various processes required for host defence. These processes include penetration resistance, recognition by Pattern Recognition Receptors (PRRs), phytohormone signalling pathways, secretory pathways, secondary metabolite production, and plant cell death (Dou and Zhou, 2012). Until recently, transcriptomic approaches have been applied in the host and pathogen separately to obtain the gene expression profile of each organism and gain insight into infection biology or host defence mechanisms.RNA sequencing (RNA-seq) is a powerful technology that does not rely on any prior knowledge of transcripts and can generate vast quantities of data with much smaller costs involved than for older techniques such as microarrays (Pareek et al., 2011;Wilhelm and Landry, 2009). An advantage of RNA-seq in the field of plant-pathogen interactions is that both plant and pathogen transcripts can be detected simultaneously and accurately in the same sample. This tactic, known as dual RNAseq, in planta RNA-seq, simultaneous RNA-seq, or comparative RNA-seq, is a relatively new technique both in the plant and medical fields. In plants, it allows for the study of plant-pathogen interactions in herbaceous crops Kunjeti et al., 2012;Lowe et al., 2014) as well as trees (Hayden et al., 2014;Liang et al., 2014;Teixeira et al., 2014). This review outlines technical considerations for dual RNA-seq experiments, summarizes recent insights drawn from such approaches in plant-pathogen interactions, and provides an