Deep sequencing of the innate immune transcriptomic response of zebrafish embryos to Salmonella infection
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ABSTRACT: Salmonella enterica serovar Typhimurium (S. typhimurium) bacteria cause an inflammatory and lethal infection in zebrafish embryos. To characterize the embryonic innate host response at the transcriptome level, we have extended and validated previous microarray data by Illumina next-generation sequencing analysis. Comparison of tag-based sequencing (DGE or Tag-Seq) with full transcript sequencing (RNA-Seq) showed a strong correlation of sequence read counts per transcript and an overlap of 241 transcripts differentially expressed in response to infection. A slightly lower overlap of 165 transcripts was observed with previous microarray data. Based on the combined sequencing-based and microarray-based transcriptome data we compiled an annotated reference set of infection-responsive genes in zebrafish embryos, encoding transcription factors, signal transduction proteins, cytokines and chemokines, complement factors, proteins involved in apoptosis and proteolysis, proteins with anti-microbial activities, as well as many known or novel proteins not previously linked to the immune response. Furthermore, by comparison of the deep sequencing data of S. typhimurium infection in zebrafish embryos with previous deep sequencing data of Mycobacterium marinum infection in adult zebrafish we derived a common set of innate host defense genes that are expressed both in the absence and presence of a fully developed adaptive immune system and that provide a valuable reference for future studies of host-pathogen interactions using zebrafish infection models. Zebrafish embryos were infected with Salmonella typhimurium (strain SL1027) by microinjection of DsRED-labeled bacteria into the caudal vein close to the urogenital opening after the onset of blood circulation (27 hpf). An equal volume of PBS was injected in the control group. RNA samples were collected at 8 hours post infection (hpi) and samples from triplicate infection experiments were pooled. DGE libraries from the RNA pools (1 M-NM-
ORGANISM(S): Danio rerio
SUBMITTER: Oliver Stockhammer
PROVIDER: E-GEOD-22472 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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