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Drug Development Research
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Drug Development Research
Article . 2018 . Peer-reviewed
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Spontaneous mutations conferring antibiotic resistance to antitubercular drugs at a range of concentrations in Mycobacterium smegmatis

Authors: Iveren Winifred Nyinoh;

Spontaneous mutations conferring antibiotic resistance to antitubercular drugs at a range of concentrations in Mycobacterium smegmatis

Abstract

Abstract Mycobacteria populations can undergo mutations in their DNA sequence during replication, which if not repaired would be transferred to future generations. Earlier studies have tackled the estimation of mutation rate in mycobacteria at fixed concentrations. However, in this study, in vitro spontaneous mutations in Mycobacterium smegmatis ( Msm ) mc 2 155 ( Msm ) that confers resistance to some of the most important antitubercular drugs; isoniazid (INH r ), rifampicin (RIF r ), kanamycin (KAN r ) and streptomycin (STR r ) were first determined at several highly lethal concentrations, a few of which have not been previously investigated, in a fluctuation assay. Thereafter, mutation rate was estimated using the most commonly adopted Po method, and estimates were then compared concurrently with the Lea‐Coulson method of the median and Ma‐Sandri‐Sarkar Maximum Likelihood Estimator method available on the Fluctuation AnaLysis CalculatOR (FALCOR). The mutation rates of RIF r ranged from 9.24 × 10 −8 to 2.18 × 10 −10 , INH r 1.2 × 10 −7 ‑1.20 × 10 −9 , STR r 2.77 × 10 −8 ‑5.31 × 10 −8 and KAN r 1.7 × 10 −8 mutations per cell division. Data obtained in this study provide mutation rate estimates to key antitubercular drugs at a range of concentrations while also validating a number of the frequent approaches for estimating mutation rates.

Related Organizations
Keywords

Dose-Response Relationship, Drug, Mutation, Mycobacterium smegmatis, Antitubercular Agents, Humans, Drug Resistance, Microbial, Microbial Sensitivity Tests

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Average
hybrid