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

  • QingBiao Wang
    ,
  • Yiqin Xu
    ,
  • Zhuoya Gu
    ,
  • Nian Liu
    ,
  • Ke Jin
    ,
  • Yao Li
Research Output: Contribution to journal Article Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

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.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 25-30

Journal (Volume, Issue Number)

Computational Biology and Chemistry (Volume 73)

Publication milestones

  • Published - 21/11/2017

Publication status

Published - 21/11/2017

ISSN

1476-9271

External Publication IDs

  • handle.net: 10547/622465
  • Scopus: 85042933802

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