Simplified Model to Survey Tuberculosis Transmission in Countries Without Systematic Molecular Epidemiology Programs

Emerg Infect Dis. 2019 Mar;25(3):507-514. doi: 10.3201/eid2503.181593.

Abstract

Systematic molecular/genomic epidemiology studies for tuberculosis surveillance cannot be implemented in many countries. We selected Panama as a model for an alternative strategy. Mycobacterial interspersed repetitive unit-variable-number tandem-repeat (MIRU-VNTR) analysis revealed a high proportion (50%) of Mycobacterium tuberculosis isolates included in 6 clusters (A-F) in 2 provinces (Panama and Colon). Cluster A corresponded to the Beijing sublineage. Whole-genome sequencing (WGS) differentiated clusters due to active recent transmission, with low single-nucleotide polymorphism-based diversity (cluster C), from clusters involving long-term prevalent strains with higher diversity (clusters A, B). Prospective application in Panama of 3 tailored strain-specific PCRs targeting marker single-nucleotide polymorphisms identified from WGS data revealed that 31.4% of incident cases involved strains A-C and that the Beijing strain was highly represented and restricted mainly to Colon. Rational integration of MIRU-VNTR, WGS, and tailored strain-specific PCRs could be a new model for tuberculosis surveillance in countries without molecular/genomic epidemiology programs.

Keywords: Panama; TB; Tuberculosis; bacteria; epidemiology; model; strain-specific PCR; surveillance; transmission; tuberculosis and other mycobacteria; whole-genome sequencing.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Humans
  • Minisatellite Repeats
  • Models, Theoretical*
  • Molecular Epidemiology
  • Molecular Typing
  • Mycobacterium tuberculosis* / drug effects
  • Mycobacterium tuberculosis* / genetics
  • Phylogeny
  • Polymorphism, Single Nucleotide
  • Population Surveillance
  • Tuberculosis / epidemiology*
  • Tuberculosis / genetics
  • Tuberculosis / microbiology
  • Tuberculosis / transmission*
  • Whole Genome Sequencing