Microorganisms (Sep 2024)

A Genome-Focused Investigation Reveals the Emergence of a <i>Mycobacterium tuberculosis</i> Strain Related to Multidrug-Resistant Tuberculosis in the Amazon Region of Brazil

  • Emilyn Costa Conceição,
  • Johannes Loubser,
  • Arthur Emil dos Santos Guimarães,
  • Abhinav Sharma,
  • Liliana Kokusanilwa Rutaihwa,
  • Anzaan Dippenaar,
  • Richard Steiner Salvato,
  • Ricardo José de Paula Souza e Guimarães,
  • Maria Cristina da Silva Lourenço,
  • Wandyra Araújo Barros,
  • Ninarosa Calzavara Cardoso,
  • Robin Mark Warren,
  • Sebastien Gagneux,
  • Beatriz Gilda Jegerhorn Grinsztejn,
  • Philip Noel Suffys,
  • Karla Valéria Batista Lima

DOI
https://doi.org/10.3390/microorganisms12091817
Journal volume & issue
Vol. 12, no. 9
p. 1817

Abstract

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A previous study in Pará, Northern Brazil, described a strain of Mycobacterium tuberculosis with a unique genotype (SIT2517/T1) associated with multidrug-resistant tuberculosis (MDR-TB). To improve our understanding of MDR-TB transmission dynamics of these strains within this region, we performed phenotypic and genotypic drug susceptibility testing (pDST/gDST), 24-loci mycobacterial interspersed repetitive units (MIRU-VNTR) genotyping, whole-genome sequencing (WGS) and geo-epidemiology analysis. Of the 28 SIT2517/T1 isolates, 19 (67.9%) could be genotyped by 24-loci MIRU-VNTR and 15 by WGS. All belonged to sublineage 4.1.1.3, distinct from other representative Lineage 4 isolates identified in Brazil. The MDR phenotype determined by pDST was confirmed by gDST, the latter also demonstrating the presence of additional mutations conferring pre-extensively drug-resistance (pre-XDR). Discrepancies between gDST and pDST were observed for pyrazinamide and fluoroquinolones. Thirteen out of 15 isolates analyzed by WGS were clustered when applying a 12 single nucleotide polymorphisms (SNPs) cutoff. The SIT2517/T1 isolates were distributed across the metropolitan regions of Belém and Collares municipalities, showing no geographic clustering. WGS-transmission network analysis revealed a high likelihood of direct transmission and the formation of two closely linked transmission chains. This study highlights the need to implement TB genomic surveillance in the Brazilian Amazon region.

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