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

Autor: Christopher B. Ford, Nilofar Mohaideen, Marc Lipsitch, Rupal R. Shah, Philana Ling Lin, JoAnne L. Flynn, Sarah M. Fortune, James E. Galagan, Oleg Iartchouk, James C. Sacchettini, Thomas R. Ioerger, Michael R. Chase
Rok vydání: 2011
Předmět:
Zdroj: Nature genetics
ISSN: 1546-1718
1061-4036
Popis: 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 resistance1,2.
Databáze: OpenAIRE