bioRxivSystems BiologyPreprint
Time-resolved RNA-seq profiling of the infection of Dictyostelium discoideum by Mycobacterium marinum reveals an integrated host response to damage and stress
N. HannaiD, Frédéric BurdetiD, Astrid Melotti, Cristina BosmaniiD, Sébastien KickaiD, Hubert HilbiiD, Pierre CossoniD, Marco PagniiD, Thierry SoldatiiD
Abstract
Tuberculosis remains the most pervasive infectious disease and the recent emergence of multiple drug-resistant strains emphasizes the need for more efficient drug treatments. The experimentally versatile Dictyostelium discoideum - Mycobacterium marinum infection model provides a powerful system to study mycobacteria pathogenicity and host response. In this study, a time-resolved transcriptomic analysis of the amoeba D. discoideum was performed to decipher the different host pathways impacted during infection. We investigated how D. discoideum fine-tunes its gene expression in response to M. marinum infection by assessing the transcriptomic profile covering the critical stages of entry, establishment of a permissive niche, proliferation and dissemination (1, 3, 6, 12, 24 and 48 hours post infection). Differential gene expression provided a fingerprint of the transcriptome of the host cell in the presence of mycobacteria, and helped identify specific markers and molecular signatures of infection. Enrichment pathway analysis showed that most of the Biological Processes (BP) of upregulated genes at early time point of infection hinted towards damage response and cellular defence, especially in specific pathways involved in membrane repair (ESCRT) and bacteria elimination (autophagy). Whereas at late time points of infection, BP related to starvation were upregulated. Some other signatures were more unexpected, such as cell cycle (downregulation of cytosolic large & small ribosomal subunits) and upregulation of metabolic adaptations (lipids transport).
- organism: Drosophila
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: benchmarking
- approach: statistical model
- Citations
- 16
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