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Higher genome mutation rates of Beijing lineage of Mycobacterium tuberculosis during human infection

Mariko Hakamata, Hayato Takihara, Tomotada Iwamoto, Aki Tamaru, Atsushi Hashimoto, Takahiro Tanaka, Shaban A. Kaboso, Gebremichal Gebretsadik, Aleksandr Ilinov, Akira Yokoyama, Yuriko Ozeki, Akihito Nishiyama, Yoshitaka Tateishi, Hiroshi Moro, Toshiaki Kikuchi, Shujiro Okuda, Sohkichi Matsumoto

2020Scientific Reports43 citationsDOIOpen Access PDF

Abstract

Mycobacterium tuberculosis (Mtb) strains of Beijing lineage have caused great concern because of their rapid emergence of drug resistance and worldwide spread. DNA mutation rates that reflect evolutional adaptation to host responses and the appearance of drug resistance have not been elucidated in human-infected Beijing strains. We tracked and obtained an original Mtb isolate of Beijing lineage from the 1999 tuberculosis outbreak in Japan, as well as five other isolates that spread in humans, and two isolates from the patient caused recurrence. Three isolates were from patients who developed TB within one year after infection (rapid-progressor, RP), and the other three isolates were from those who developed TB more than one year after infection (slow-progressor, SP). We sequenced genomes of these isolates and analyzed the propensity and rate of genomic mutations. Generation time versus mutation rate curves were significantly higher for RP. The ratio of oxidative versus non-oxidation damages induced mutations was higher in SP than RP, suggesting that persistent Mtb are exposed to oxidative stress in the latent state. Our data thus demonstrates that higher mutation rates of Mtb Beijing strains during human infection is likely to account for the higher adaptability and an emergence ratio of drug resistance.

Topics & Concepts

Mycobacterium tuberculosisMutation rateTuberculosisBiologyMutationBeijingLineage (genetic)Drug resistanceVirologyGenomeGenotypeMicrobiologyGeneticsGeneMedicineChinaLawPathologyPolitical scienceTuberculosis Research and EpidemiologyMycobacterium research and diagnosisAntibiotic Resistance in Bacteria