Identification and Characterization of Genetic Determinants of Isoniazid and Rifampicin Resistance in Mycobacterium tuberculosis in Southern India.
Ramalingam, Suresh Babu
Shanmugam, Siva Kumar
Palaniappan, Alangudi Natarajan
Ranganathan, Uma Devi
Nature Publishing Group
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Munir, A., Kumar, N., Ramalingam, S. B., Tamilzhalagan, S., Shanmugam, S. K., Palaniappan, A. N., Nair, D., et al. (2019). Identification and Characterization of Genetic Determinants of Isoniazid and Rifampicin Resistance in Mycobacterium tuberculosis in Southern India.. Scientific reports, 9 (1), 10283. https://doi.org/10.1038/s41598-019-46756-x
Drug-resistant tuberculosis (TB), one of the leading causes of death worldwide, arises mainly from spontaneous mutations in the genome of Mycobacterium tuberculosis. There is an urgent need to understand the mechanisms by which the mutations confer resistance in order to identify new drug targets and to design new drugs. Previous studies have reported numerous mutations that confer resistance to anti-TB drugs, but there has been little systematic analysis to understand their genetic background and the potential impacts on the drug target stability and/or interactions. Here, we report the analysis of whole-genome sequence data for 98 clinical M. tuberculosis isolates from a city in southern India. The collection was screened for phenotypic resistance and sequenced to mine the genetic mutations conferring resistance to isoniazid and rifampicin. The most frequent mutation among isoniazid and rifampicin isolates was S315T in katG and S450L in rpoB respectively. The impacts of mutations on protein stability, protein-protein interactions and protein-ligand interactions were analysed using both statistical and machine-learning approaches. Drug-resistant mutations were predicted not only to target active sites in an orthosteric manner, but also to act through allosteric mechanisms arising from distant sites, sometimes at the protein-protein interface.
Humans, Mycobacterium tuberculosis, Tuberculosis, Isoniazid, Rifampin, Catalase, DNA-Directed RNA Polymerases, Bacterial Proteins, Antitubercular Agents, Drug Resistance, Bacterial, Allosteric Regulation, Protein Conformation, Mutation, Models, Molecular, Adult, India, Protein Stability, Machine Learning, Whole Genome Sequencing
Medical Research Council (MR/N501864/1)
Bill & Melinda Gates Foundation (via Foundation for the National Institutes of Health (FNIH)) (BLUN17STB)
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External DOI: https://doi.org/10.1038/s41598-019-46756-x
This record's URL: https://www.repository.cam.ac.uk/handle/1810/294344
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