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Volume 7, Issue 3

Genome analyses of 174 strains of provide insight into the evolution of drug resistance and reveal potential drug targets Open Access

Abstract

is a known human pathogen that causes the airborne infectious disease tuberculosis (TB). Every year TB infects millions of people worldwide. The emergence of multi-drug resistant (MDR), extensively drug resistant (XDR) and totally drug resistant (TDR) strains against the first- and second-line anti-TB drugs has created an urgent need for the development and implementation of new drug strategies. In this study, the complete genomes of 174 strains of are analysed to understand the evolution of molecular drug target (MDT) genes. Phylogenomic placements of strains depicted close association and temporal clustering. Selection pressure analysis by deducing the ratio of non-synonymous to synonymous substitution rates () in 51 MDT genes of the 174 . strains led to categorizing these genes into diversifying (D, >0.70), moderately diversifying (MD, =0.35–0.70) and stabilized (S, <0.35) genes. The genes and were identified as diversifying, and , and were identified as stabilized genes. Furthermore, sequence similarity networks were drawn that supported these divisions. In the multiple sequence alignments of diversifying and stabilized proteins, previously reported resistance mutations were checked to predict sensitive and resistant strains of . Finally, to delineate the potential of stabilized or least diversified genes/proteins as anti-TB drug targets, protein–protein interactions of MDT proteins with human proteins were analysed. We predict that (=0.29), a stabilized gene that encodes the most host-interacting protein, KasA, should serve as a potential drug target for the treatment of TB.

  • Received:
  • Accepted:
  • Published Online:
Keyword(s): drug resistance , molecular drug target , Mycobacterium tuberculosis , protein–protein interaction , selection pressure and tuberculosis
© 2021 The Authors
  • This is an open-access article distributed under the terms of the Creative Commons Attribution NonCommercial License.
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2021-03-22
2024-04-20
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Genome analyses of 174 strains of Mycobacterium tuberculosis provide insight into the evolution of drug resistance and reveal potential drug targets
M Gen 7, 000542 (2021); https://doi.org/10.1099/mgen.0.000542
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