Local adaptation of Mycobacterium tuberculosis on the Tibetan Plateau

Proc Natl Acad Sci U S A. 2021 Apr 27;118(17):e2017831118. doi: 10.1073/pnas.2017831118.

Abstract

During its global dispersal, Mycobacterium tuberculosis (Mtb) has encountered varied geographic environments and host populations. Although local adaptation seems to be a plausible model for describing long-term host-pathogen interactions, genetic evidence for this model is lacking. Here, we analyzed 576 whole-genome sequences of Mtb strains sampled from different regions of high-altitude Tibet. Our results show that, after sequential introduction of a few ancestral strains, the Tibetan Mtb population diversified locally while maintaining strict separation from the Mtb populations on the lower altitude plain regions of China. The current population structure and estimated past population dynamics suggest that the modern Beijing sublineage strains, which expanded over most of China and other global regions, did not show an expansion advantage in Tibet. The mutations in the Tibetan strains showed a higher proportion of A > G/T > C transitions than strains from the plain regions, and genes encoding DNA repair enzymes showed evidence of positive selection. Moreover, the long-term Tibetan exclusive selection for truncating mutations in the thiol-oxidoreductase encoding sseA gene suggests that Mtb was subjected to local selective pressures associated with oxidative stress. Collectively, the population genomics of Mtb strains in the relatively isolated population of Tibet provides genetic evidence that Mtb has adapted to local environments.

Keywords: Mycobacterium tuberculosis; evolution; local adaptation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acclimatization / genetics
  • Adaptation, Biological / genetics*
  • Adaptation, Physiological / genetics*
  • Altitude
  • Biological Evolution
  • China
  • Genotype
  • Mutation
  • Mycobacterium tuberculosis / genetics*
  • Mycobacterium tuberculosis / metabolism
  • Phylogeny
  • Population Dynamics / trends
  • Selection, Genetic / genetics
  • Tibet / epidemiology