Dataset Information

Modeling Tuberculosis in Mycobacterium marinum Infected Adult Zebrafish.

ABSTRACT: Mycobacterium tuberculosis is currently the deadliest human pathogen causing 1.7 million deaths and 10.4 million infections every year. Exposure to this bacterium causes a wide disease spectrum in humans ranging from a sterilized infection to an actively progressing deadly disease. The most common form is the latent tuberculosis, which is asymptomatic, but has the potential to reactivate into a fulminant disease. Adult zebrafish and its natural pathogen Mycobacterium marinum have recently proven to be an applicable model to study the wide disease spectrum of tuberculosis. Importantly, spontaneous latency and reactivation as well as adaptive immune responses in the context of mycobacterial infection can be studied in this model. In this article, we describe methods for the experimental infection of adult zebrafish, the collection of internal organs for the extraction of nucleic acids for the measurement of mycobacterial loads and host immune responses by quantitative PCR. The in-house-developed, M. marinum-specific qPCR assay is more sensitive than the traditional plating methods as it also detects DNA from non-dividing, dormant or recently dead mycobacteria. As both DNA and RNA are extracted from the same individual, it is possible to study the relationships between the diseased state, and the host and pathogen gene-expression. The adult zebrafish model for tuberculosis thus presents itself as a highly applicable, non-mammalian in vivo system to study host-pathogen interactions.

SUBMITTER: Luukinen H

PROVIDER: S-EPMC6235461 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Modeling Tuberculosis in Mycobacterium marinum Infected Adult Zebrafish.

Luukinen Hanna H Hammarén Milka Marjut MM Vanha-Aho Leena-Maija LM Parikka Mataleena M

Journal of visualized experiments : JoVE 20181008 140

Mycobacterium tuberculosis is currently the deadliest human pathogen causing 1.7 million deaths and 10.4 million infections every year. Exposure to this bacterium causes a wide disease spectrum in humans ranging from a sterilized infection to an actively progressing deadly disease. The most common form is the latent tuberculosis, which is asymptomatic, but has the potential to reactivate into a fulminant disease. Adult zebrafish and its natural pathogen Mycobacterium marinum have recently proven ...[more]

PMID: 30346391

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Project description:Novel high-throughput deep sequencing technology has dramatically changed the way that the functional complexity of transcriptomes can be studied. Here we report on the first use of this technology to gain insight into the wide range of transcriptional alterations that are associated with an infectious disease process. Using Solexa/IlluminaM-bM-^@M-^Ys digital gene expression (DGE) system, a tag-based transcriptome sequencing method, we investigated mycobacterium-induced transcriptome changes in a model vertebrate species, the zebrafish. Our DGE data substantiate recent RNA-seq results from other models indicating a much larger extent of genome transcription than previously thought, and demonstrate that the host response to bacterial infection adds a further degree of complexity to the transcriptome. We obtained a sequencing depth of over 5 million tags per sample with strong correlation between replicates. Tag mapping indicated that mycobacterium-infected adult zebrafish express over 70% of all genes represented in transcript databases. Comparison of our DGE data with a previous multiplatform microarray analysis showed that both types of technologies identified regulation of similar functional groups of genes, more specifically the up-regulation of different classes of immune response genes concomitant with a broad down-regulation of metabolic genes. However, the unbiased nature of DGE analysis provided insights that microarray analysis could not have achieved. As demonstrated here, DGE data are useful for the verification of predicted gene models and allowed us to detect mycobacterium-regulated switching between different transcript isoforms. Moreover, genomic mapping of infection-induced DGE tags revealed novel transcript forms for which any previous EST-based evidence of expression was lacking. Adult male zebrafish were infected by intraperitoneal inoculation with approximately 1x 10-3 M. marinum bacteria. All four infected fish were sacrificed when they showed overt signs of fish tuberculosis, including lethargy, skin ulcers and extensive granuloma formation in organs such as liver and kidney. Histological examination of fish from the same experiments confirmed that the pathology of infected fish corresponded to fish tuberculosis and that no characteristics of the disease were present in the control fish. For DGE analysis RNA samples from the four control adult zebrafish (c1,c2,c3,c4) were pooled, and RNA samples from the four M.marinum-infected adult zebrafish (i1,i2,i3,i4) were pooled. Before pooling the individual RNA samples had been checked by microarray analysis for correlation between biological replicates.

Dataset Information

Modeling Tuberculosis in Mycobacterium marinum Infected Adult Zebrafish.

Publications

Modeling Tuberculosis in Mycobacterium marinum Infected Adult Zebrafish.

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