Identification of new antibacterial targets in RNA polymerase of Mycobacterium tuberculosis by detecting positive selection sites
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AbstractBacterial 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.
CitationWang Q.B., Xu Y., Gu Z., Liu N., Jin K., Li Y., Crabbe,M.J.C., Zhong Y. (2018) 'Identification of new antibacterial targets in RNA polymerase of Mycobacterium tuberculosis by detecting positive selection sites', Computational Biology and Chemistry 73 25-30
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