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  • Oral presentation
  • Open Access

Promoter trap strategy for gene expression analysis under stress conditions of M. tuberculosis latency

BMC Infectious Diseases201414 (Suppl 3) :O13

https://doi.org/10.1186/1471-2334-14-S3-O13

  • Published:

Keywords

  • Tuberculosis
  • Drug Target
  • Mycobacterium Tuberculosis
  • Shuttle Vector
  • Tuberculosis Latency

Background

Tuberculosis, caused by Mycobacterium tuberculosis, still remains a significant bacterial killer globally accounting for ~ 2 million deaths annually. The uniqueness of the infection lies in the competence of the etiological agent to remain dormant in the human body for extended periods of time, escaping the body’s defense mechanisms. The ineffectiveness of the currently used antimycobacterials against latent mycobacteria warrants for discovery of novel drugs and drug targets. New methods are also required for the identification, analysis and validation of drug targets against latent mycobacteria.

Methods

A promoter trap vector with lacZ reporter system was constructed. For validation of the vector, upstream sequences of genes known to be involved in M. tuberculosis latency along with suitable positive and negative controls were PCR amplified and cloned into the shuttle vector containing promoterless lacZ reporter system, to yield recombinant constructs. The recombinant constructs were then electroporated into M. smegmatis to obtain recombinant mycobacterial strains. All such strains were individually subjected to stress conditions associated with M. tuberculosis latency.

Results

Validation of the promoter trap vector was done by expression analysis of lacZ reporter using a β-galactosidase assay. Genes known to be involved in the latency of M. tuberculosis showed appreciable levels of β-galactosidase expression under anaerobiosis as well nutrient starvation conditions in comparison to the negative control strain.

Conclusion

This promoter trap strategy can be exploited for expression analysis and validation of drug targets deduced from various non conclusive strategies such as bioinformatic analysis and microarray. This can also be utilized for determination of new drug targets by construction of genomic library.

Authors’ Affiliations

(1)
Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh, 173234, India

Copyright

© Yadav et al; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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