Abstract
Mycobacterium marinum, the causative agent of fish tuberculosis, is rarely a human pathogen causing a chronic skin infection. It is now wildely used as a model system in animal models, especially in zebra fish model, to study the pathology of tuberculosis and as a means of screening new anti-tuberculosis agent. To facilitate such research, quantifying the viable count of M. marinum bacteria is a crucial step. The main approach used currently is still by counting the number of colony forming units (cfu), a method that has been in place for almost 100 years. Though this method well established, understood and relatively easy to perform, it is time-consuming and labor-intensive. The result can be compromised by failure to grow effectively and the relationship between count and actual numbers is confused by clumping of the bacteria where a single colony is made from multiple organisms. More importantly, this method is not able to detect live but not cultivable bacteria, and there is increasing evidence that mycobacteria readily enter a "dormant" state which confounds the relationship between bacterial number in the host and the number detected in a cfu assay. DNA based PCR methods detect both living and dead organisms but here we describe a method, which utilizes species specific Taq-Man assay and RT-qPCR technology for quantifying the viable M. marinum bacterial load by detecting 16S ribosomal RNA (16S rRNA).
| Original language | English |
|---|---|
| Title of host publication | Antibiotic Resistance Protocols |
| Editors | Stephen Gillespie |
| Place of Publication | New York, NY |
| Publisher | Humana Press/Springer |
| Pages | 137-145 |
| Number of pages | 9 |
| ISBN (Electronic) | 9781493976386 |
| ISBN (Print) | 9781493976362 |
| DOIs | |
| Publication status | Published - 2018 |
Publication series
| Name | Methods in Molecular Biology |
|---|---|
| Publisher | Humana Press |
| Volume | 1736 |
| ISSN (Print) | 1064-3745 |
| ISSN (Electronic) | 1940-6029 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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