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Comprehensive Comparative Analysis of Cholesterol Catabolic Genes/Proteins in Mycobacterial Species.

Authors :
van Wyk R
van Wyk M
Mashele SS
Nelson DR
Syed K
Source :
International journal of molecular sciences [Int J Mol Sci] 2019 Feb 27; Vol. 20 (5). Date of Electronic Publication: 2019 Feb 27.
Publication Year :
2019

Abstract

In dealing with Mycobacterium tuberculosis , the causative agent of the deadliest human disease-tuberculosis (TB)-utilization of cholesterol as a carbon source indicates the possibility of using cholesterol catabolic genes/proteins as novel drug targets. However, studies on cholesterol catabolism in mycobacterial species are scarce, and the number of mycobacterial species utilizing cholesterol as a carbon source is unknown. The availability of a large number of mycobacterial species' genomic data affords an opportunity to explore and predict mycobacterial species' ability to utilize cholesterol employing in silico methods. In this study, comprehensive comparative analysis of cholesterol catabolic genes/proteins in 93 mycobacterial species was achieved by deducing a comprehensive cholesterol catabolic pathway, developing a software tool for extracting homologous protein data and using protein structure and functional data. Based on the presence of cholesterol catabolic homologous proteins proven or predicted to be either essential or specifically required for the growth of M. tuberculosis H37Rv on cholesterol, we predict that among 93 mycobacterial species, 51 species will be able to utilize cholesterol as a carbon source. This study's predictions need further experimental validation and the results should be taken as a source of information on cholesterol catabolism and genes/proteins involved in this process among mycobacterial species.

Details

Language :
English
ISSN :
1422-0067
Volume :
20
Issue :
5
Database :
MEDLINE
Journal :
International journal of molecular sciences
Publication Type :
Academic Journal
Accession number :
30818787
Full Text :
https://doi.org/10.3390/ijms20051032