Origin and Dynamics of Mycobacterium tuberculosis Subpopulations That Predictably Generate Drug Tolerance and Resistance.
Origin and Dynamics of Mycobacterium tuberculosis Subpopulations That Predictably Generate Drug Tolerance and Resistance.
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Initial responses to tuberculosis treatment are poor predictors of final therapeutic outcomes in drug-susceptible disease, suggesting that treatment success depends on features that are hidden within a small minority of the overall infecting Mycobacterium tuberculosis population. We developed a multitranswell robotic system to perform numerous parallel cultures of genetically barcoded M. tuberculosis exposed to steady-state concentrations of rifampicin to uncover these difficult-to-eliminate minority populations. We found that tolerance emerged repeatedly from at least two subpopulations of barcoded cells, namely, one that could not grow on solid agar media and a second that could form colonies, but whose kill curves diverged from the general bacterial population within 4 and 16 days of drug exposure, respectively. These tolerant subpopulations reproducibly passed through a phase characterized by multiple unfixed resistance mutations followed by emergent drug resistance in some cultures. Barcodes associated with drug resistance identified an especially privileged subpopulation that was rarely eliminated despite 20 days of drug treatment even in cultures that did not contain any drug-resistant mutants. The association of this evolutionary scenario with a defined subset of barcodes across multiple independent cultures suggested a transiently heritable phenotype, and indeed, glpK phase variation mutants were associated with up to 16% of the resistant cultures. Drug tolerance and resistance were eliminated in a ΔruvA mutant, consistent with the importance of bacterial stress responses. This work provides a window into the origin and dynamics of bacterial drug-tolerant subpopulations whose elimination may be critical for developing rapid and resistance-free cures.
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影响因子：
16
作者：
Kohanski MA;DePristo MA;Collins JJ
通讯作者：
Collins JJ
影响因子：
64.5
作者：
Boshoff, HIM;Reed, MB;Mizrahi, V
通讯作者：
Mizrahi, V
影响因子：
56.3
作者：
Horne, David J.;Royce, Sarah E.;Gooze, Lisa;Narita, Masahiro;Hopewell, Philip C.;Nahid, Payam;Steingart, Karen R.
通讯作者：
Steingart, Karen R.
影响因子：
10
作者：
Romanowski, Kamila;Balshaw, Robert F.;Johnston, James C.
通讯作者：
Johnston, James C.
影响因子：
2.8
作者：
Parish, T;Stoker, NG
通讯作者：
Stoker, NG