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Use of whole genome sequencing to estimate the mutation rate of Mycobacterium tuberculosis during latent infection

Mycobacterium tuberculosis (Mtb) has generated a global health catastrophe that has been compounded by the emergence of drug resistant Mtb strains. We used whole genome sequencing to compare the accumulation of mutations in Mtb isolated from cynomolgus macaques with active, latent and reactivated di...

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Autores principales: Ford, Christopher B., Lin, Philana Ling, Chase, Michael, Shah, Rupal R., Iartchouk, Oleg, Galagan, James, Mohaideen, Nilofar, Ioerger, Thomas R., Sacchettini, James C., Lipsitch, Marc, Flynn, JoAnne L., Fortune, Sarah M.
Formato: Texto
Lenguaje:English
Publicado: 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3101871/
https://www.ncbi.nlm.nih.gov/pubmed/21516081
http://dx.doi.org/10.1038/ng.811
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author Ford, Christopher B.
Lin, Philana Ling
Chase, Michael
Shah, Rupal R.
Iartchouk, Oleg
Galagan, James
Mohaideen, Nilofar
Ioerger, Thomas R.
Sacchettini, James C.
Lipsitch, Marc
Flynn, JoAnne L.
Fortune, Sarah M.
author_facet Ford, Christopher B.
Lin, Philana Ling
Chase, Michael
Shah, Rupal R.
Iartchouk, Oleg
Galagan, James
Mohaideen, Nilofar
Ioerger, Thomas R.
Sacchettini, James C.
Lipsitch, Marc
Flynn, JoAnne L.
Fortune, Sarah M.
author_sort Ford, Christopher B.
collection PubMed
description Mycobacterium tuberculosis (Mtb) has generated a global health catastrophe that has been compounded by the emergence of drug resistant Mtb strains. We used whole genome sequencing to compare the accumulation of mutations in Mtb isolated from cynomolgus macaques with active, latent and reactivated disease. Based on the distribution of SNPs observed, we calculated the mutation rates for these disease states. Our data suggest that Mtb acquires a similar number of chromosomal mutations during latency as occurs during active disease or in a logarithmically growing culture over the same period of time despite reduced bacterial replication during latent infection. The pattern of polymorphisms suggests that the mutational burden in vivo is due to oxidative DNA damage. Thus, we demonstrate that Mtb continues to acquire mutations during latency and provide a novel explanation for the observation that isoniazid monotherapy for latent tuberculosis is a risk factor for the emergence of INH resistance(1,2).
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spelling pubmed-31018712011-11-01 Use of whole genome sequencing to estimate the mutation rate of Mycobacterium tuberculosis during latent infection Ford, Christopher B. Lin, Philana Ling Chase, Michael Shah, Rupal R. Iartchouk, Oleg Galagan, James Mohaideen, Nilofar Ioerger, Thomas R. Sacchettini, James C. Lipsitch, Marc Flynn, JoAnne L. Fortune, Sarah M. Nat Genet Article Mycobacterium tuberculosis (Mtb) has generated a global health catastrophe that has been compounded by the emergence of drug resistant Mtb strains. We used whole genome sequencing to compare the accumulation of mutations in Mtb isolated from cynomolgus macaques with active, latent and reactivated disease. Based on the distribution of SNPs observed, we calculated the mutation rates for these disease states. Our data suggest that Mtb acquires a similar number of chromosomal mutations during latency as occurs during active disease or in a logarithmically growing culture over the same period of time despite reduced bacterial replication during latent infection. The pattern of polymorphisms suggests that the mutational burden in vivo is due to oxidative DNA damage. Thus, we demonstrate that Mtb continues to acquire mutations during latency and provide a novel explanation for the observation that isoniazid monotherapy for latent tuberculosis is a risk factor for the emergence of INH resistance(1,2). 2011-04-24 2011-05 /pmc/articles/PMC3101871/ /pubmed/21516081 http://dx.doi.org/10.1038/ng.811 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Ford, Christopher B.
Lin, Philana Ling
Chase, Michael
Shah, Rupal R.
Iartchouk, Oleg
Galagan, James
Mohaideen, Nilofar
Ioerger, Thomas R.
Sacchettini, James C.
Lipsitch, Marc
Flynn, JoAnne L.
Fortune, Sarah M.
Use of whole genome sequencing to estimate the mutation rate of Mycobacterium tuberculosis during latent infection
title Use of whole genome sequencing to estimate the mutation rate of Mycobacterium tuberculosis during latent infection
title_full Use of whole genome sequencing to estimate the mutation rate of Mycobacterium tuberculosis during latent infection
title_fullStr Use of whole genome sequencing to estimate the mutation rate of Mycobacterium tuberculosis during latent infection
title_full_unstemmed Use of whole genome sequencing to estimate the mutation rate of Mycobacterium tuberculosis during latent infection
title_short Use of whole genome sequencing to estimate the mutation rate of Mycobacterium tuberculosis during latent infection
title_sort use of whole genome sequencing to estimate the mutation rate of mycobacterium tuberculosis during latent infection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3101871/
https://www.ncbi.nlm.nih.gov/pubmed/21516081
http://dx.doi.org/10.1038/ng.811
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