alexa A Systems Level Comparison of Mycobacterium tuberculosis, Mycobacterium leprae and Mycobacterium smegmatis Based on Functional Interaction Network Analysis | Abstract
ISSN: 2155-9597

Journal of Bacteriology & Parasitology
Open Access

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Research Article

A Systems Level Comparison of Mycobacterium tuberculosis, Mycobacterium leprae and Mycobacterium smegmatis Based on Functional Interaction Network Analysis

Richard O Akinola, Gaston K Mazandu and Nicola J Mulder*

Computational Biology Group/Institute of Infectious Disease and Molecular Medicine, Department of Clinical Laboratory Sciences, Faculty of Health Sciences, University of Cape Town, South Africa

*Corresponding Author:
Nicola J Mulder
Computational Biology Group/Institute of
Infectious Disease and Molecular Medicine
Department of Clinical Laboratory Sciences
Faculty of Health Sciences
University of Cape Town, Anzio Road
7925 Observatory, South Africa
Tel: +27 21 406 6058
E-mail: [email protected]

Received Date: July 01, 2013; Accepted Date: August 06, 2013; Published Date: August 12, 2013

Citation: Akinola RO, Mazandu GK, Mulder NJ (2013) A Systems Level Comparison of Mycobacterium tuberculosis, Mycobacterium leprae and Mycobacterium smegmatis Based on Functional Interaction Network Analysis. J Bacteriol Parasitol 4:173. doi: 10.4172/2155-9597.1000173

Copyright: © 2013 Akinola RO, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Mycobacterium leprae is a pathogenic bacteria that causes leprosy, a disease which affects mainly the skin, peripherical nerves, eyes and mucosa of the upper respiratory tract. Despite significant progress recorded in the last few years to stop this disease through a Multi-Drug Therapy (MDT) strategy, every year there are new reported cases of the disease. According to the World Health Organization, there were 192,242 new cases at the beginning of 2011. Mycobacterium leprae cannot be cultured in the laboratory but can be grown in mouse foot pads and more recently in nine banded armadillos because of its susceptibility to leprosy. Its highly reduced genome makes it an interesting species as a model for reductive evolution within the mycobacterial genus; it shares the same ancestor with Mycobacterium tuberculosis (MTB). A functional network for MTB was generated previously and extensive computational analyses were conducted to reveal the biological organization of the organism on the basis of the network’s topological properties. Here, we use genomic sequences and functional data from public databases to build protein functional networks for another slow grower, Mycobacterium leprae (MLP) and the fast growing non-pathogenic Mycobacterium smegmatis (MSM). Together with the MTB network, this provides an opportunity for comparison of three mycobacteria with different sized genomes. In this paper, we use network centrality measures to systematically compare MTB, MLP and MSM to quantify differences between these organisms at the systems biology level and to study network biology and evolution.

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