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Identification of new antibacterial targets in RNA polymerase of Mycobacterium tuberculosis by detecting positive selection sites.

Authors :
Wang Q
Xu Y
Gu Z
Liu N
Jin K
Li Y
Crabbe MJC
Zhong Y
Source :
Computational biology and chemistry [Comput Biol Chem] 2018 Apr; Vol. 73, pp. 25-30. Date of Electronic Publication: 2017 Nov 21.
Publication Year :
2018

Abstract

Bacterial RNA polymerase (RNAP) is an effective target for antibacterial treatment. In order to search new potential targets in RNAP of Mycobacterium, we detected adaptive selections of RNAP related genes in 13 strains of Mycobacterium by phylogenetic analysis. We first collected sequences of 17 genes including rpoA, rpoB, rpoC, rpoZ, and sigma factor A-M. Then maximum likelihood trees were constructed, followed by positive selection detection. We found that sigG shows positive selection along the clade (M. tuberculosis, M. bovis), suggesting its important evolutionary role and its potential to be a new antibacterial target. Moreover, the regions near 933Cys and 935His on the rpoB subunit of M. tuberculosis showed significant positive selection, which could also be a new attractive target for anti-tuberculosis drugs.<br /> (Copyright © 2017 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1476-928X
Volume :
73
Database :
MEDLINE
Journal :
Computational biology and chemistry
Publication Type :
Academic Journal
Accession number :
29413813
Full Text :
https://doi.org/10.1016/j.compbiolchem.2017.11.002