Transcriptome Profiling of Atlantic Salmon () Parr With Higher and Lower Pathogen Loads Following Infection.

Salmonid rickettsial septicemia (SRS), caused by , is one of the most devastating diseases of salmonids. However, the transcriptomic responses of Atlantic salmon () in freshwater to an EM-90-like isolate have not been explored. Here, we infected Atlantic salmon parr with an EM-90-like isolate and conducted time-course qPCR analyses of pathogen load and four biomarkers (, , , ) of innate immunity on the head kidney samples. Transcript expression of three of these genes (except ), as well as pathogen level, peaked at 21 days post-injection (DPI). Multivariate analyses of infected individuals at 21 DPI revealed two infection phenotypes [lower (L-SRS) and higher (H-SRS) infection level]. Five fish from each group (Control, L-SRS, and H-SRS) were selected for transcriptome profiling using a 44K salmonid microarray platform. We identified 1,636 and 3,076 differentially expressed probes (DEPs) in the L-SRS and H-SRS groups compared with the control group, respectively (FDR = 1%). Gene ontology term enrichment analyses of SRS-responsive genes revealed the activation of a large number of innate (e.g. "phagocytosis", "defense response to bacterium", "inflammatory response") and adaptive (e.g. "regulation of T cell activation", "antigen processing and presentation of exogenous antigen") immune processes, while a small number of general physiological processes (e.g. "apoptotic process", development and metabolism relevant) was enriched. Transcriptome results were confirmed by qPCR analyses of 42 microarray-identified transcripts. Furthermore, the comparison of individuals with differing levels of infection (H-SRS vs. L-SRS) generated insights into the biological processes possibly involved in disease resistance or susceptibility. This study demonstrated a low mortality (~30%) EM-90-like infection model and broadened the current understanding of molecular pathways underlying -triggered responses of Atlantic salmon, identifying biomarkers that may assist to diagnose and combat this pathogen.